Topic:"Energy Efficiency Budgets" in M08604

ch participating EMIS and SEM project is counted once for the year, although 6 participation in the program component is ongoing and most facilities generate savings 7 every month. DATE FILED: March 29, 2018 Page 3 of 68 Efficiency Nova Sc...

AI summary The 2017 DSM Annual Progress Report discusses program costs for Efficiency Nova Scotia, including unit costs for residential and low-income initiatives. The table shows variations between planned, adjusted, and actual costs for programs like Efficient Product Rebates and New Residential Construction.

t for further 5 information. Unit costs are calculated using energy and demand savings at the generator, net of free- 6 ridership and spillover, and unaudited expenditure amounts. DATE FILED: March 29, 2018 Page 4 of 68 Efficiency Nova Sco...

AI summary Efficiency Nova Scotia (ENS) achieved 130.7 GWh of net incremental energy savings in 2017 DSM programs, exceeding planned savings of 136.5 GWh. Peak demand savings reached 23.7 MW versus 21.0 MW planned. Total expenditures were $30.3M, below the $34.6M mid-course adjusted plan. Ratepayer benefits totaled $121M, with 85.4 kt of annual CO2e emissions avoided.

ator and are net of free ridership and spillover. 2016 3 savings are evaluated and verified; 2017 savings are evaluated and pending verification. 4 5 Measurement and Evaluation 6 7 In 2017, ENS contracted two consultants to perform evaluat...

AI summary In 2017, Efficiency Nova Scotia (ENS) evaluated DSM program savings, including 21.9 GWh energy and 4.0 MW peak demand savings from Codes and Standards. Evaluations excluded Appliance Retirement (no market evaluation) and Strategic Energy Management (no savings claimed). Two consultants assessed programs, with one focusing on DSM and the other on process evaluations.

7 DSM ANNUAL PROGRESS REPORT 1 Figure 2: 2017 DSM Expenditures 2017 DSM Expenditures ($ thousand and % percentage breakdown) $18,818 Incentives 62% $1,349 Evaluation & verification 5% Program support $430 1% Marketing, outreach & education...

AI summary The 2017 DSM Annual Progress Report details expenditure allocations, with $18.8 million (62%) directed to incentives, $5.9 million (20%) to salaries, and $1.3 million (5%) to evaluation and verification. ENS expanded programs for low-income and modest-income households, businesses, and other groups through outreach initiatives.

Page 12 of 68 Efficiency Nova Scotia 2017 DSM ANNUAL PROGRESS REPORT 1 component, as compared to previous years. 10 The multi-packs have a lower per-kWh 2 rebate amount than the corresponding single-packs of qualifying lighting measures, 3...

AI summary Efficiency Nova Scotia's 2017 DSM report highlights lower-than-anticipated incentive costs due to multi-pack rebates and higher appliance retirements over replacements. Instant Savings achieved 19.5 GWh of energy savings through 710,000+ energy-efficient product sales, primarily LED lighting. EPR expenditures were lower than expected, contributing to cost efficiencies for ratepayers.

expenditures, and participation by rate class for the Existing Residential program is 7 presented in Table 5, below. 8 9 Table 5: Existing Residential Rate Class Results First- Lifetime Peak Year Housing Existing Residential Energy Demand...

AI summary The text references Table 5, which details expenditures, participation rates, and energy savings metrics for the Existing Residential program. Key data points include first-year and lifetime energy savings, peak demand reductions, and program expenditures categorized by housing units.

2017 DSM ANNUAL PROGRESS REPORT 1 instead of a standard heat pump). These new incentives capture what would 2 otherwise be a lost opportunity. 3 4 Following the introduction of these changes, and the receipt of initial savings results, 5 E...

AI summary The 2017 DSM Annual Progress Report discusses changes to heat pump incentives, removal of certain heat pump models due to insufficient energy savings, and the performance of the Efficient Product Installation (EPI) program, which achieved significant energy and peak demand savings despite lower-than-anticipated participation.

2017 DSM ANNUAL PROGRESS REPORT 1 and Savings Verification Consultant recommendations, ENS updated its NHC incentives 2 in Q2 of 2017. 19 3 4 In 2016, ENS launched a Passive House pilot to encourage more Passive House 5 construction, as we...

AI summary In 2017, ENS updated NHC incentives and launched a Passive House pilot to promote energy-efficient construction. The BNI sector achieved energy savings exceeding its targets, and ENS continued its On-site Energy Manager partnership to identify energy-efficiency opportunities.

Residential/Charitable 0.2 2.4 0.0 36 1 (2,3,4) Small General (10) 0.0 0.0 0.0 0 0 General Demand (11) 8.6 130.1 1.4 1,500 28 Large General (12) 4.0 59.8 1.4 765 13 Small Industrial (21) 2.0 30.6 0.1 439 8 Medium Industrial (22) 3.2 43.5 0...

AI summary The text provides a summary of energy and demand savings, along with expenditures, across various customer categories. It notes that numbers may not sum due to rounding and that savings are net of free-ridership and spillover. Expenditure amounts are unaudited, and previous quarter data may have been updated.

ipated operating costs, and offers technical support and incentives resulting in 4 electricity savings in new BNI buildings, as well as major renovations to existing 5 buildings. 6 7 The Custom component initiated five pilots in 2017, as f...

AI summary The Custom component of the BNI incentive program launched several pilots in 2017, including compressed air leak repairs, refrigeration optimization audits, and building commissioning. However, project completions were lower than expected due to participant-driven delays, resulting in a shortfall in energy savings for the year.

45.1 1.0 0.5 Business Energy Rebates - Mail-In6,7 1.3 15.8 0.5 0.2 42 Buildings retrofitted Business Energy Rebates - Instant6,8 2.5 29.2 0.5 0.4 25,965 Units rebated Custom Incentives 1.4 20.9 0.1 0.2 Custom6,7 1.4 20.9 0.1 0.2 11 Buildin...

AI summary The text presents a table detailing various energy efficiency programs and their associated metrics, including the number of buildings retrofitted, units rebated, and energy savings. It includes specific programs such as Business Energy Rebates and Custom Incentives, along with their corresponding financial and performance data.

DATE FILED: March 29, 2018 Page 35 of 68 Efficiency Nova Scotia 2017 DSM ANNUAL PROGRESS REPORT 1 • releasing the 2016 EfficiencyOne Annual Report (distinct from the ENS Annual 2 Progress Report); 3 • releasing ENS’s The Switch Residential...

AI summary The 2017 DSM Annual Progress Report highlights Efficiency Nova Scotia's activities, including the release of reports, newsletters, and awards. It also outlines development and research initiatives such as the Incentive Setting Methodology, Small Business Energy Study, and the electronic Technical Reference Manual.

d 17 improve the experience at each stage of the participant journey. Finally, ENS completed 18 a review of the economic impact of the energy-efficiency industry in Nova Scotia. 19 20 ENS also collected user experience and other behavioura...

AI summary ENS conducted a review of the economic impact of the energy-efficiency industry in Nova Scotia and collected user experience data from participants and non-participants to improve user experience and messaging. Other Enabling Strategies included PACE financing, capacity building, working with governments, and regulatory affairs.

2014 Evaluation Perform thorough M&V and document it in a complete report for every large Custom-R1 Complete ENS agrees with this recommendation. Standardized M&V processes and Complete project for which thorough M&V work is justified and...

AI summary The document discusses the need for thorough Measurement and Verification (M&V) processes in large energy efficiency projects, emphasizing the importance of comprehensive reporting. ENS agrees with the recommendation for standardized M&V processes, noting that while some improvements have been made, further enhancements may be needed.

Expected Evaluation/ Year Recommendation Text Source Status Comments Period of Verification Completion 2014 Evaluation Gather more data to conduct a conclusive calibration billing analysis in 2015. Custom NC-R1 Deferred ENS appreciates thi...

AI summary In 2014, an evaluation recommended gathering more data to conduct a conclusive calibration billing analysis in 2015. Despite 23 projects completed in 2012 and 2013, only seven had sufficient energy billing data for analysis. The evaluation was deferred, and ENS plans to use Portfolio Manager to store utility bill data for future analysis.

2015 Evaluation Improve the internal review procedure for savings calculations of both BER BER-R1 Complete ENS agrees with this recommendation. ENS modified the participant Complete Mail-in and Instant Rebates. In 2015, the Evaluator appli...

AI summary The evaluation of the BER program in 2015 identified significant data entry errors and inconsistencies in savings calculations, particularly in lighting projects. ENS implemented new procedures to improve accuracy, including updated baseline wattages and ballast factors. Quality control steps are recommended to ensure accurate savings calculations upon project approval.

Expected Evaluation/ Year Recommendation Text Source Status Comments Period of Verification Completion 2015 Evaluation Further improve the tracking system. The Evaluator commends ENS for the BER-R2 In Progress ENS agrees with this recommen...

AI summary The evaluation recommends further improvements to ENS's tracking systems for BER Mail-in and Instant Rebates. While ENS has made progress, some inconsistencies were found, such as unlinked savings and discrepancies. ENS agrees and plans to standardize calculations through integration with Dynamic DSM.

he Evaluator also noticed, in a few cases, discrepancies between the evaluation. ENS also completed additional training of staff to ensure the calculation algorithms, the variable descriptions and the savings calculated for savings algorit...

AI summary The Evaluator identified discrepancies in calculation algorithms and variable descriptions for BER Instant Rebates. ENS addressed this by training staff, reviewing completed projects, and updating the evaluation category field to align with 2015 categories.

2014 Verification Calibration for Custom New Construction. Structure project monitoring to gather more data Savings Deferred ENS appreciates this recommendation. Peak demand To be to conduct a conclusive calibration billing analysis in 201...

AI summary ENS appreciates a recommendation to conduct a calibration billing analysis in 2015 to develop a diversity factor for peak demand savings. ENS plans to use Portfolio Manager for storing utility bill data, even though it is not mandatory for NC participants, to support future calibration billing analysis.

t transformation is achieved. Based on the state of the market, different exit strategies that can lead to continuous energy savings even after a program or incentive has ended could be investigated. Closely monitor the evolution of the re...

AI summary The text discusses the impact of new Canadian energy efficiency regulations on refrigerator and clothes washer markets in Nova Scotia, emphasizing the need to monitor market evolution and assess the cost-effectiveness of appliance rebates. ENS has adopted new federal standards as a baseline and will continue to evaluate the program's relevance.

orly understanding Green Heat. The Evaluator suggests increasing program component knowledge among retailers by providing them with an impetus to more actively promote higher efficiency models, and offering point of sale promotional materi...

AI summary The Evaluator recommends increasing retailer knowledge of Green Heat to promote higher efficiency models and considers real baseline conditions in savings calculations. ENS agrees and has implemented the recommendation, noting that existing heating systems reduce potential energy savings.

input obtained from interviews with distributors. Sales data of non-efficient lighting products, if available, might also allow comparing the sales level of products rebated through Instant Rebates. Update the values used in the BER Mail-i...

AI summary The document discusses updates to the BER Mail-in and Instant Rebates calculations based on the 2016 evaluation results, including revised methodology for calculating interactive effects and updated operating hours for heat pumps. ENS has implemented these changes and applied them to 2017 projects.

ts include peak demand savings calculations as a mandatory element in their submission packages, and (2) that all projects without peak demand savings be validated through an internal review process. Implement a standardized process for va...

AI summary The text discusses the need for improved measurement and verification (M&V) processes for energy efficiency projects, emphasizing the importance of including peak demand savings in submissions and validating results through standardized tools and internal reviews. ENS agrees with the recommendations and has developed tools to improve accuracy.

, which ENS reviews. ENS should require that all M&V plans include either an estimate of peak demand savings or a summary of the energy conservation measures with the potential to reduce peak demand. Continue to support EMIS and identify p...

AI summary ENS reviews M&V plans to ensure they include peak demand savings estimates or summaries of energy conservation measures. ENS supports the continuation and expansion of EMIS, citing participant satisfaction and potential for additional savings.

t could include additional support to participants or some form of performance incentive for service providers to identify potential new measures after easy, low-cost measures have been implemented. Track major changes to facility operatio...

AI summary The text discusses the need for performance incentives for service providers and the importance of tracking facility changes to adjust energy baselines. ENS agrees with a recommendation to update baseline energy consumption data and implement systematic reviews to ensure accurate savings reporting.

Completion Track incremental savings rather than cumulative savings. For continuing participants in 2016, the Evaluator SEM-R4 In Progress ENS agrees with this recommendation. There were no 2017 SEM savings but 2018 modified the methodolog...

AI summary The document discusses the methodology for tracking energy savings under the SEM program, emphasizing the use of incremental rather than cumulative savings. ENS agrees with modifying the approach to align with incremental first-year savings and acknowledges the need for ongoing support to maintain savings. The methodology may be refined as more research becomes available.

ny associated savings provide invoices of energy efficient products bought under ENS instant rebate programs. are deducted from SEM savings. Apply the adjustments made to the baseline energy regression in the 2016 evaluation to continuing...

AI summary The document discusses adjustments to baseline energy regression for continuing projects in the SEM program. It notes that adjustments made in the 2015 evaluation were valid for 2016 but not implemented by the service provider. ENS agrees with applying these adjustments to continuing participants in SEM.

Focus the 2017 evaluation on the same standards as evaluated in 2016. While the new standards set forth in CS-R1 Complete ENS's Evaluator included some Amendment 13 product types in the 2017 Complete Amendment 13 will come into force at th...

AI summary The 2017 evaluation should focus on the same standards as in 2016 due to the limited impact of Amendment 13 until January 2018. The Evaluator recommends collaborating with NRCan and industry associations to collect market data on new products affected by Amendment 13, as historical data is essential for assessing market size and impact.

continues to explore the option of merging the two offerings. Add the following EMIS related terms to the Definitions (p. iii); Baseline regression, Projected baseline, EMIS-SV-R2 Complete ENS agrees with this recommendation. The Evaluator...

AI summary The document discusses the need to update EMIS-related definitions in the Definitions section, including terms like baseline regression, projected baseline, adjusted baseline, cumulative EMIS/EMIS savings, and incremental EMIS/EMIS savings. ENS agrees with the recommendation, noting that the Evaluator's definitions align with the 2017 Custom Incentives (EMIS) evaluation report, though there are minor differences with the Verification Consultant's terms.

in the Verification Consultant's Recommendation EMIS-SV- 2. One way to more clearly communicate the approach is to show the results for each step and each EMIS-SV-3 Complete ENS agrees with this recommendation. To help communicate results...

AI summary The Verification Consultant recommends including a detailed table in the 2017 Custom Incentives (EMIS) evaluation report to clearly communicate the methodology and results of energy savings. The table should include columns such as projected baseline, adjustments, actual energy usage, and incremental savings. ENS agrees with the recommendation, and the Evaluator added summary tables to the report.

d column titled "Resources Provided" in Table 25 above the text. For future evaluations, please systematically address what savings would have resulted naturally via SV-MEPS-1 Not ENS appreciates this recommendation but notes that influenc...

AI summary The text discusses ENS's appreciation for a recommendation to address Naturally Occurring Market Adoption Factors (NOMADs) for each Minimum Energy Performance Standard (MEP), but notes that influencing codes and standards is not a primary focus. ENS reports on energy savings for informational purposes but does not claim them, and thus does not recommend pursuing this recommendation due to its significant impact on the evaluation budget.

.g. lighting projects). This methodology was applied to Custom and Small Business Energy Solutions, the Mail-in Rebates service of Business Energy Rebates and some measure categories under Green Heat. 2.6 Billing Analysis For Green Heat, a...

AI summary The text discusses energy efficiency programs and their evaluation methods, including billing and metering analyses for initiatives like Green Heat and Efficient Product Installation. These analyses aim to assess energy savings and ensure accurate data collection for program effectiveness.

with the peak demand period of the electricity grid in Nova Scotia. The Evaluator applied the results to the Instant Savings, Efficient Product Installation and Codes & Standards savings calculations. 2.8 Simulation Model Review A simulati...

AI summary The evaluation of 2017 DSM programs included a review of simulation models for new construction projects, an assessment of effective useful life values for energy-saving measures, and the consideration of multiple baselines for LED products across various programs to ensure accurate energy savings calculations.

tracked energy and peak demand savings with those evaluated. The evaluated net- to-gross ratios, lifetime energy savings and greenhouse gas emission reductions are also presented in subsections below. 3.1 Individual Impact Evaluation Resul...

AI summary The document evaluates the energy and peak demand savings of the 2017 DSM programs, comparing evaluated net-to-gross ratios, lifetime energy savings, and greenhouse gas emission reductions. It outlines the methodology used to calculate adjusted gross savings and net savings, incorporating factors such as installation rates, in-service rates, and EUL values for efficient measures.

Residential Efficient Appliance Retirement 5.266 5.266 0.59 3.094 23.050 4.852 2.761 Product Rebates Instant Savings 22.343 22.343 0.87 19.543 179.116 23.562 26.162 Home Energy Assessment 8.959 8.306 0.76 7.007 140.139 8.945 7.145 Existing...

AI summary The text provides a summary of various energy efficiency programs and their associated costs and rebates, including residential and business initiatives such as appliance retirement, instant savings, home energy assessments, and efficient product installation. It includes figures for different categories and subtotals.

Appliance Retirement 0.740 0.740 0.60 0.443 0.368 Residential Efficient Product Rebates Instant Savings 2.993 2.993 0.85 2.558 5.186 Home Energy Assessment 2.535 2.348 0.76 1.981 2.029 Existing Residential Green Heat 4.271 5.114 0.60 3.073...

AI summary The text presents a table with various energy efficiency programs and their associated metrics, including appliance retirement, residential and business rebates, and custom incentives. It includes numerical data such as costs, quantities, and percentages, but no explicit discussion or arguments are made.

Executive Summary The following subsections discuss how evaluated savings compare to ENS tracked savings for each program and component. 3.1.1 Residential DSM Programs Residential Efficient Product Rebates The Residential Efficient Product...

AI summary The Residential Efficient Product Rebates program achieved significant energy and peak demand savings in 2017, with Appliance Retirement and HomeWarming contributing notably. Evaluated savings exceeded tracked savings due to higher energy consumption in retired appliances and changes in the peak-demand-to-energy ratio for dehumidifiers.

savings values are both 2 percent lower than those tracked by ENS. This difference is explained by a decrease in the NTGR value due to a reduction in 2017 spillover level compared to 2016. Green Heat The 2017 participation level for Green...

AI summary The Green Heat program saw increased participation in 2017, partly due to the eligibility of non-electrically heated homes for MSHP installations and the removal of pre-approval processes. However, energy savings were lower than expected due to decreased unitary savings for MSHPs and ASHPs and higher free-ridership levels for new participants. Peak demand savings were higher than tracked due to adjustments for installations in non-electrically heated homes.

er than those tracked by ENS due to the adjustment made for participants who installed an MSHP or ASHP in non-electrically heated households, for which ENS had tracked 0.0 MW in peak demand savings. Project No. 6138 18 Evaluation of 2017 D...

AI summary In 2017, the Efficient Product Installation program saw 13,672 households participate, with 377,875 efficient products installed. The program achieved 17.877 GWh in net energy savings and 2.129 MW in net peak demand savings. Evaluated savings were slightly lower than tracked savings, primarily due to a decrease in the installation rate of smart power controllers.

n increased the 2017 NTGR value. 4 Efficient Product Installation was introduced in 2017 pursuant to a merger of the Residential Direct Install and Rental Properties & Condos program components. Project No. 6138 19 Evaluation of 2017 DSM P...

AI summary The 2017 NTGR value was increased, and the Efficient Product Installation program was introduced through a merger. The Passive House pilot had lower energy and peak demand savings due to a high free-ridership rate. Business Energy Rebates achieved significant energy savings, but evaluated net energy savings were adjusted downward due to lower performance in both Mail-in and Instant Rebates.

r 2016 levels. Overall, the evaluated net energy savings are 8 percent lower than the tracked values due to downward adjustments to both Mail-in and Instant Rebates savings (3% and 11% respectively). For Mail-in, due to efforts made by ENS...

AI summary The evaluated net energy savings for 2017 are 8% lower than tracked values, mainly due to adjustments in Mail-in and Instant Rebates. Net peak demand savings are 34% lower than tracked values, with significant reductions attributed to a single HVAC project and changes in the peak coincidence factor for indoor lighting products.

Energy Management Information Systems components, which are part of the Custom Incentives program, achieved 22.407 GWh in net energy savings and 3.892 MW in net peak demand savings at the generator. Project No. 6138 20 Evaluation of 2017 D...

AI summary The Custom Incentives program achieved significant energy and peak demand savings in 2017, but evaluated savings were 8% below tracked values, primarily due to a 27% reduction in New Construction energy savings. Energy Management Information Systems components contributed 22.407 GWh in net energy savings and 3.892 MW in net peak demand savings.

New Home Construction Passive House Pilot 61% - 0.39 LED Lamps Non-low Income Tenants 14% 1% 0.87 LED Lamps Non-low Income Owners 26% 6% 0.80 LED Lamps Low-income Participants - - 1 Efficient Product Installation Other Products Non-low Inc...

AI summary The text presents data on various energy efficiency programs, including participation rates and performance metrics for initiatives such as LED lamp installations, efficient product installation, and business energy rebates. It highlights varying levels of participation across different categories and income groups.

Mid-course Evaluated Variance Planned Savings Results DSM Program Program Component GWh MW GWh MW GWh MW (%) (%) Residential Residential Appliance Retirement 2.6 0.3 3.094 0.443 18% 50% Efficient Product Rebates Instant Savings 20.0 3.3 19...

AI summary The document evaluates the performance of various demand-side management (DSM) programs, comparing planned savings against actual results. Residential programs like appliance retirement and efficient product rebates show mixed outcomes, with some programs underperforming while others slightly exceed expectations. BNI programs also show positive variance in energy savings.

Participant Partner DSM Program Program Component or Service Satisfaction Satisfaction Residential Residential Efficient Product Rebates Instant Savings - 7.0 Home Energy Assessment 8.6 8.3 Green Heat - Old Path 9.0 6.8 Existing Residentia...

AI summary The text presents a table of satisfaction ratings for various DSM program components and services, and mentions a section on historical portfolio analysis covering program performance and composition changes between 2013 and 2017.

37.275 24.607 15.675 16.360 23% 16% 11% 12% (Residential Direct Installc) 17.877 14% Efficient Product Installation (Rental 2.100 2.720 3.287 2.638 1% 2% 2% 2% Properties and Condos Serviced) New Residential New Home Construction 5.890 4.5...

AI summary The text presents numerical data related to energy efficiency programs, including residential and BNI (Business, non-profit and institutional) initiatives. It includes figures for various programs like Efficient Product Installation, Home Energy Report, and Business Energy Rebates, along with percentages and values associated with them.

19% 15% 16% 16% Energy Management Information Custom Incentives - 5.006 3.786 2.018 1.402 - 3% 3% 2% 1% Systems Strategic Energy Management - - 2.269 2% Direct Installation Small Business Energy Solutions 12.649 13.175 7.034 4.123 7.887 8%...

AI summary The text provides a breakdown of energy efficiency program participation and savings across various initiatives, including Custom Incentives, Strategic Energy Management, and HomeWarming, with data spanning multiple years and program adjustments. Notes explain program name changes and consolidations over time.

g the methodology for calculating interactive effects associated with lighting projects for Business Energy Rebates, Small Business Energy Solutions and Custom was implemented in all three components. As part of the 2017 evaluation, the Ev...

AI summary The evaluation of ENS programs highlights that lighting measures accounted for most energy savings in 2017, but the evaluator recommends fostering non-lighting energy efficiency measures to achieve greater savings and mitigate declining lighting savings due to improving LED market efficiency.

y indicated that ENS marketing was the most common way for participants to find out about Instant Savings, primarily through in-store promotions, followed by TV ads, the ENS website and word-of-mouth. This year, the Evaluator reviewed the...

AI summary The Instant Savings program used ENS marketing, primarily in-store promotions, to reach participants. The Evaluator reviewed unitary savings values for LED lamps, washers, and refrigerators, noting a decline in free-ridership and spillover effects. The program achieved 19.543 GWh in net energy savings and 2.558 MW in peak demand savings in 2017, avoiding 12,764 tonnes of CO2 eq annually.

category. The Evaluator believes that the ASHP billing analysis should be conducted again in 2018 to obtain a larger sample of participants and improve the accuracy of savings. GH-R2. Conduct a survey with a larger sample of participants w...

AI summary The Evaluator recommends conducting a larger sample billing analysis in 2018 for ASHPs and a survey for MSHPs in non-electrically heated households to improve the accuracy of savings estimates and evaluate the impact of Green Heat on participant decisions.

for owners and at 1 percent for tenants, resulting in an overall level of 6 percent. Overall, the weighted average NTGR for low-income and non-low-income participants combined was established at 0.92. Efficient Product Installation aimed t...

AI summary The Efficient Product Installation program achieved 17.877 GWh in net energy savings and 2.129 MW in net peak demand savings in 2017, with high participant satisfaction. The program faces challenges due to declining potential for LED lamp installations. The Evaluator recommends improvements based on evaluation results.

straightforward participation process. Market data should also be collected to obtain insights about market forces that may be influencing the decline in NHC participation. NHC-R2. Conduct a billing analysis to review the overestimation ra...

AI summary The text discusses the need for a billing analysis to assess the overestimation ratio in the New Home Construction (NHC) program, as well as participation trends in business energy rebate programs. It highlights the importance of market data collection and the increase in rebate product sales in 2017.

ors such as those discussed in Section 7 to identify when some product categories should be removed from the service due to a high level of market transformation. BER-R2. Identify opportunities to diversify the portfolio of projects comple...

AI summary The text discusses the need to diversify the BER Mail-In program to avoid declining savings due to market transformation in LED lighting. It highlights the risk of free-ridership and baseline increases as LED technology becomes more widespread and recommends targeting underrepresented BNI sectors for greater savings.

uator recommends that ENS identify BNI sectors that are currently underrepresented in the Mail-in service and that could potentially generate significant savings. BER-R3. Continue and improve the tracking of BER Instant Rebates participant...

AI summary The document discusses recommendations for improving the tracking of energy efficiency programs, particularly the BER Instant Rebates, and highlights the performance of ENS's Custom services in 2017, noting that Retrofit was the most successful, while New Construction and Building Optimization had low participation.

make his or her building function normally and the real energy-saving opportunities for improving energy performance above a minimum level. Better objective-setting would allow Project No. 6138 52 Evaluation of 2017 DSM Programs Efficiency...

AI summary The evaluation of 2017 DSM programs highlights the need for better documentation of basecase conditions for Building Optimization projects and notes that Energy Management Information Systems (EMIS) projects showed limited progress in generating savings compared to previous years.

recommends that, from now on, the final tracking sheet be updated with the final values documented in the annual reports and that annual peak demand savings be tracked. EMIS-R2. Design baseline regressions and plan M&V activities to ensure...

AI summary The text recommends updating the final tracking sheet with annual report values and tracking annual peak demand savings. It also highlights the need for accurate savings calculations by designing baseline regressions and planning M&V activities, especially when operational changes occur, such as increased weekend production time. The Evaluator suggests proactively identifying and tracking independent variables to maintain baseline relevance.

m of the auditor and usefulness of the audit. The other few participants who were less satisfied indicated dissatisfaction with the amount of the incentive (n=2) and the energy savings achieved (n=2). The Evaluator reviewed ENS’s gross sav...

AI summary The evaluation of ENS's energy efficiency programs found that most participants were satisfied with the audit process, though some were dissatisfied with incentive amounts and energy savings. The Evaluator reviewed savings estimates and found discrepancies due to site conditions, leading to adjustment ratios for energy and peak demand savings. Free-ridership was found at 7% for the audit path and 13% for the DIY path, with no spillover effects.

Executive Summary Table 24: Recommendations for Small Business Energy Solutions No. Recommendations SBES-R1. Implement an internal procedure to identify and thoroughly review the most complex custom projects to ensure savings calculation a...

AI summary The document recommends implementing a detailed review process for complex custom energy projects to ensure accurate savings calculations. It highlights the need for specialized technical knowledge and suggests seeking assistance from the Custom Incentive Program’s personnel, who have the necessary expertise.

who do not complete the audit path, for instance by having an ENS staff member follow up to help them consider non-lighting measures if the facility includes other large energy-consuming equipment. 7.2.5 Codes and Standards The 2017 evalua...

AI summary The 2017 evaluation of Codes and Standards in Nova Scotia estimates energy and peak demand savings of 21.914 GWh and 4.028 MW, respectively, and avoided GHG emissions of 14,312 tonnes of CO2 eq. The Evaluator recommends optimizing the evaluation process for these standards.

Program Bibliographic References Components U.S. EPA and DOE, Savings Calculator for ENERGY STAR Qualified Appliances (2016), https://www.energystar.gov/sites/default/files/asset/document/appliance_calculator.xlsx (Last accessed December 4...

AI summary The text lists bibliographic references and sources related to energy efficiency programs, including calculators, life expectancy charts, and reports from various organizations such as the U.S. EPA, ASHRAE, and NREL. These resources are used to support energy efficiency initiatives and assessments.

Program Bibliographic References Components HAMELIN, M. C. ET AL. “Accounting for Real-Life Conditions in Mini-Split Heat Pump Savings: Findings from a Billing Analysis” in Proceedings of the 2017 International Energy Program Evaluation Co...

AI summary The text provides bibliographic references for a program analysis related to mini-split heat pump savings, energy conservation improvement programs, and technical reference manuals from various regulatory and research organizations.

4, 2017) PENNSYLVANIA PUBLIC UTILITY COMMISSION (PUC). Technical Reference Manual, Section 2.2 – HVAC, June 2015. PROVINCE OF NOVA SCOTIA, Nova Scotia Building Code Regulation, December 31, 2014. ROSENBURG M. AND HOEFGEN L. 2009. Market Ef...

AI summary The document text contains a list of references and citations related to energy efficiency programs, technical manuals, and regulations, including those from Nova Scotia, Pennsylvania, Illinois, Massachusetts, and other jurisdictions. These references include studies, manuals, and reports on energy efficiency measures, HVAC systems, and market transformation strategies.

2/f19/UMPChapter23-estimating-net-savings_0.pdf (Last accessed on November 19, 2015). Rebates NATURAL RESOURCES CANADA. “Forward Regulatory Plan 2017-19”. Online: http://www.nrcan.gc.ca/energy/regulations-codes-standards/18318, Last modifi...

AI summary The text includes a list of references and citations related to energy efficiency, regulatory plans, and environmental reports, including sources such as Natural Resources Canada, Nova Scotia Power, and various studies and technical manuals.

2.35 1.64 5 2.78 2.13 1.53 10 2.26 1.83 1.38 15 2.14 1.76 1.35 20 2.09 1.73 1.33 25 2.06 1.71 1.32 30 2.05 1.70 1.31 ∞ 1.96 1.64 1.28 Coefficient z, which corresponds to the value of coefficient t for an infinite sample size, and is used f...

AI summary The text discusses the calculation of a margin of error for program components, using a confidence level of 90 percent, a proportion of 0.50, and a total number of Efficient Product Installation non-low-income participants equal to 7,625, resulting in a margin of error of 8.2 percent. The calculation excludes Appliance Retirement, Custom, and EMIS due to lack of participant surveys or use of census-based approaches.

following formula was used to calculate the weighted standard deviation. ∑ ∑ 0.360 Where N represents the number of measures reviewed as part of the impact evaluation and N’ represents the number of reviewed measures for which the tracked...

AI summary The weighted standard deviation for the adjustment ratio of energy savings for lighting measures was calculated at 0.360. The margin of error for this adjustment ratio was determined to be 6.4 percent, using a population size of 503. These calculations were performed for specific program components including Small Business Energy Solutions, Business Energy Rebates, and Custom Retrofit services.

FR3b. [ASK IF TOTAL MEASURE QTY>1] If the audit, rebate and/or financing had not been offered, what is the likelihood that you would have FR3b = Answer x 10% NA - NA - NA - installed exactly the same quantity of energy-efficient upgrades t...

AI summary This text contains a series of questions related to the impact of an energy efficiency program on the installation of energy-efficient upgrades and the postponement of such upgrades. It includes scoring and inconsistency tests based on responses to these questions.

𝐺𝑟𝑜𝑠𝑠 𝑈𝑛𝑖𝑡𝑎𝑟𝑦 𝑆𝑎𝑣𝑖𝑛𝑔𝑠 Table 2 shows the equivalent NTGR for each appliance type. Table 2: ARet Equivalent Net-to-gross Ratios Gross Savings Effects Net Number Consumption Unitary Internal Equival. Appliance Type Free- Secondary Induced of...

AI summary Table 2 provides equivalent NTGR for various appliance types, with HomeWarming and pilot programs assuming an NTGR of 1. The impact evaluation shows that ARet generated 3.094 GWh in net energy savings and 0.443 MW in net peak demand savings in 2017.

tified cost as the main barrier, while three retailers believe that insufficient knowledge now trumps price as the key barrier to LED adoption. This is a first in the history of the program component. Similarly to 2016, the intercept parti...

AI summary The document discusses barriers to LED adoption, marketing methods for the Instant Savings program, and the evaluation of energy savings. It notes a shift in barriers from cost to knowledge and highlights the use of NTGR to measure net energy savings, including free-ridership and spillover effects.

educates Nova Scotians about the cost of maintaining old and inefficient appliances, provides free pick-up from their homes (not from the roadside) and offers a financial incentive for the retirement. In addition to removing old appliances...

AI summary The ARet program educates Nova Scotians about the cost of maintaining old appliances, offers free pick-up and financial incentives for retiring them, and ensures proper recycling. Eligibility criteria and rebate amounts are outlined, with specific conditions for appliance sizes and ages.

obtaining acceptable margins of error. Ten more appliances were added to the 2002 and later age category for refrigerators because this category is the most popular category of retried appliances. Appliance Retirement 10 Residential Effici...

AI summary The document discusses changes in metering equipment used by Efficiency Nova Scotia (ENS) for tracking energy savings. Prior to 2016, ENS relied on Kill-A-Watt® meters, but in 2016, they began using raw data from current transformers and an Excel workbook to calculate revised energy consumption values.

d the raw data from the current transformer and an Excel workbook created by ENS to calculate the revised energy consumption values, and recommended ENS implement this change to the metering protocol. In 2016, the Evaluator recommended tha...

AI summary The document describes changes made by ENS to the metering protocol, including annual calibration of loggers, the addition of internal temperature sensors, and the use of new data collection devices. These changes were recommended by an Evaluator in 2016 and implemented in 2017 to improve data accuracy and reliability.

rotocol. This metering protocol was adapted from the New York State Department of Public Service protocol,6 with the exception that ENS’s metering is done at the recycling facility instead of in-situ. During the first site visit, the Evalu...

AI summary The text describes a site visit during which ENS implemented a new metering protocol adapted from New York State, revealing technical issues with data logging and communication between devices. The visit also confirmed ENS's comfort with the procedural changes.

mperage. The Evaluator reviewed the raw data or log files to determine the overall quality of the data sets in the sample and then used the information to determine the individual appliances’ savings. Additional screening of raw data was c...

AI summary The Evaluator analyzed raw data from HOBO® loggers to assess data quality, classifying samples into usable and excluded categories based on amperage and temperature readings. Usable data met specific criteria, while excluded data showed logger errors or inconsistent temperature logs.

e reasons mentioned above. Table 9: ARet Metering Sample Sizes by Data Category Data Category Freezers Refrigerators Total Proportion Usable Data 40 56 96 69% Excluded Data Logger Error 1 10 11 8% Temperature not Maintained 8 7 15 11% Refr...

AI summary The analysis of ARet metering data shows that while most data was usable, over 30% was unusable, exceeding expected levels. Issues included logger errors, temperature not maintained, and refrigerant losses. Non-working appliances contributed to the unusable data and should be considered in energy consumption calculations.

he freezers’ data and concluded that this value was reasonable since more than 75 percent of the metered freezers in this age category had an annual energy consumption level of over 100 kWh/cu. ft. Appliance Retirement 16 Residential Effic...

AI summary The evaluation of the Appliance Retirement program discusses the data collection process for freezers, highlighting the reasonable energy consumption levels observed and the improvements in metering protocols. However, it notes that the sample size was insufficient due to unusable data, which affected the margin of error. The report also outlines the methodology used for calculating savings based on the UMP guidelines.

Figure 6: Logic Model of the UMP for Net Savings Calculation ARet Net Savings = Consumption of retired appliances - Consumption that Additional consumption Induced Additional would have been avoided without + due to an increase in the quan...

AI summary Figure 6 illustrates the logic model for calculating net savings under the UMP, considering factors like free-ridership, secondary market impacts, and induced consumption. Table 12 summarizes tracked savings values for ARet in 2017, based on the 2016 evaluation.

The Uniform Methods Project: Methods for Determining Energy Efficiency Savings for Specific Measures. Chapter 7: Refrigerator Recycling Evaluation Protocol, Prepared by the Camus Group, April 2013. Appliance Retirement 17 Residential Effic...

AI summary This section of the 2017 DSM Evaluation Report by Efficiency Nova Scotia presents tracked energy savings by appliance type, including refrigerators, freezers, air conditioners, and small refrigerators and freezers. It includes metrics like gross and net savings, net-to-gross ratios, and equivalent effective useful life.

rigerators 275 1.12 0.63 194 95 0.49 1% 0.50 Small Freezers 420 1.12 0.63 296 145 0.49 1% 0.50 For the 2017 evaluation, the Evaluator updated these tracked savings values using a methodology similar to that used in the four previous evalua...

AI summary The text discusses the evaluation of energy savings from appliance retirements in 2017, including updates to energy consumption based on metering results and the inclusion of a pilot project by ENS and HRSB. It outlines the methodology for calculating unitary savings for full-sized refrigerators.

esponses to determine these effects. As previously mentioned, internal spillover is calculated separately from the unitary savings of each appliance category in ARet, and is discussed in Section 3.14. Table 19 presents the unitary savings...

AI summary The document discusses the calculation of unitary savings values for refrigerators retired through the Appliance Replacement and Conservation Assistance (ARet) program. It accounts for free-ridership and secondary market impacts, and calculates a net savings value of 410 kWh per unit retired.

ion of Replacement Freezers Three energy consumption levels are assigned to possible categories of freezer replacement, based on the same principles as discussed in Section 3.3.1 about refrigerators. As with the 2016 evaluation, the Evalua...

AI summary The document discusses the energy consumption levels of replacement freezers, using the Canadian energy-efficiency standard. It calculates standard-efficiency and high-efficiency freezer consumption values, applying a 10% reduction for high-efficiency models based on the U.S. standard. The calculations include a weighted average of chest and upright freezers, resulting in 309 kWh for standard-efficiency and 278 kWh for high-efficiency.

ame calculation was done for replacement freezers, and their average annual energy consumption value was established at 227 kWh. The annual average energy consumption values are listed in Table 23. Appliance Retirement 26 Residential Effic...

AI summary The document discusses the calculation of energy consumption for retired and replacement freezers, with an average annual energy consumption of 863 kWh for retired freezers and 227 kWh for replacement freezers. It also mentions the calculation of unitary savings, considering factors like free-ridership and secondary market impacts.

esponses to determine these effects. As previously mentioned, internal spillover is calculated separately from the unitary savings of each appliance category in ARet, and is discussed in Section 3.14. Table 24 presents the unitary savings...

AI summary The text discusses the calculation of unitary savings values for freezers retired through the Appliance Retirement (ARet) program, accounting for free-ridership and secondary market impacts. It also presents the net savings value of 465 kWh per unit retired.

esponses to determine these effects. As previously mentioned, internal spillover is calculated separately from the unitary savings of each appliance category in ARet, and is discussed in Section 3.14. Table 25 presents the unitary savings...

AI summary The document discusses the calculation of unitary savings for room air conditioners retired through the Appliance Retirement (ARet) program, factoring in free-ridership and secondary market impacts. The net savings per unit retired is calculated as 66 kWh.

100% Weighted Average (kWh/unit) 0 Overall Savings (kWh/unit) 66 Appliance Retirement 32 Residential Efficient Product Rebates Program Efficiency Nova Scotia 2017 DSM Evaluation Report 3.6 Small Appliance Retirement This section presents t...

AI summary The document discusses the methodology used to calculate the unitary savings of small refrigerators and freezers retired through the Appliance Retirement (ARET) program in 2017. It outlines the revision of gross unitary savings by updating parameters such as average energy consumption of retired and replacement appliances and part-use factors.

44% 0 0 0 100% Weighted average (kWh/unit) 103 Induced Consumption Energy Consumption Induced Replaced the ARet-induced Overall (kWh/year) % % Consumption Recycled Unit Replacement Proportion kWh Without ARet With ARet

AI summary The table presents data on energy consumption, including induced consumption and energy consumption before and after appliance retirement (ARET). It includes metrics such as weighted average kWh/unit and the proportion of replaced units.

Natural Resources Canada, Energy Efficiency Ratings: Search – Freezers, http://oee.nrcan.gc.ca/pml- lmp/index.cfm?action=app.download-telecharger&appliance=FREEZERS (Last accessed January 19, 2018) Appliance Retirement 43 Residential Effic...

AI summary The document discusses the evaluation of energy efficiency programs, including the revised unitary savings for freezers and dehumidifiers. It highlights the updated kWh consumption values based on metering activities and the HomeWarming program's role in replacing inefficient dehumidifiers.

017. Table 34: Tracked and Revised Unitary Savings by Appliance Type Tracked Unitary Savings (kWh/yr) Revised Unitary Savings (kWh/yr) Gross Net Gross Net Refrigerator (ARet) 745 406 751 410 Freezer (ARet) 756 398 863 465 Room Air Conditio...

AI summary The table presents tracked and revised unitary savings by appliance type, including refrigerators, freezers, and room air conditioners under various programs such as ARET and HomeWarming. The section on peak demand savings outlines the timing of peak electricity demand in Nova Scotia, which occurs between 5 p.m. and 7 p.m. from December to February on non-holiday weekdays.

the peak demand of the electricity system. The projected electricity-demand peak period in Nova Scotia is between 5 p.m. and 7 p.m. in the months of December to February, on a non-holiday weekday. 25 Ontario Power Authority (OPA). 2011 Pre...

AI summary The document discusses the calculation of peak demand savings for the Appliance Retirement (ARET) program using on-peak demand-to-energy ratios developed by Navigant. The Evaluator validated these ratios and used them to estimate savings, with specific assumptions for dehumidifiers and air conditioners.

herefore expected to be negative, pushing the savings generated by such retirement or replacement downward. A number of other factors can also affect the interactive effects of the program component: › The focus of this ARet evaluation is...

AI summary The evaluation of the Appliance Retirement (ARET) program considers the interactive effects of appliance retirement on heating and cooling loads. It notes that only a portion of households in Nova Scotia use electricity for heating or cooling, limiting the impact of these effects. The Evaluator concluded that these interactive effects are negligible, setting the factor at 0 percent. The evaluation also addresses the effective useful life (EUL) of appliances in calculating energy savings.

eractive effects factor at 0 percent. 3.12 Effective Useful Life As part of the 2017 evaluation, the Evaluator reviewed the EUL values used by ENS in the calculation of lifetime energy savings. For ARet, the lifetime energy savings and equ...

AI summary The document discusses the evaluation of Effective Useful Life (EUL) values used by ENS in calculating lifetime energy savings for the Appliance Retirement (ARET) and HomeWarming programs. The Evaluator considered technical references, evaluation reports, and studies to determine EUL and Remaining Useful Life (RUL) values for eligible measures, favoring those based on measured data.

for Appliances Retired through ARet Measure ENS Tracked Revised Reference EUL Equivalent EUL Refrigerator KEMA, Residential Refrigerator Recycling Ninth Year 8 8 Retirement Retention Study, value for refrigerators29 KEMA, Residential Refri...

AI summary The text discusses the Effective Useful Life (EUL) values assigned to appliances retired through the Appliance Retirement (ARET) program and the HomeWarming program. EUL values for refrigerators and freezers are set at eight years based on KEMA studies, while air conditioners have an EUL of three years from DEER data.

ee years was taken from the Database for Energy Efficiency Resources (DEER), which was specifically established for the retirement of a room air conditioner.30 Appliances Replaced through HomeWarming For appliances replaced through HomeWar...

AI summary The document discusses the evaluation of appliance replacement programs, specifically the HomeWarming Program and the retirement of a room air conditioner through the Database for Energy Efficiency Resources (DEER). It examines the Effective Useful Life (EUL) values used by ENS for new appliances and notes that first-year savings from appliance replacement may not persist over the full equipment life of the new appliance.

Reference New Appliance Retired EUL Equipment Life Appliance RUL32 ENERGY STAR Calculator, Appliance Refrigerator 12 12 4 Magazine Market Research Report, Replacement value for refrigerators Freezer ENERGY STAR Calculator, EPA 12 12 4 Repl...

AI summary The text discusses the calculation of Equivalent Effective Useful Life (EUL) values for appliances replaced through the HomeWarming Program, referencing ENERGY STAR and EPA research for refrigerators, freezers, and dehumidifiers. It also notes that Replacement Useful Life (RUL) values are assumed to be one-third of EUL values based on common assumptions in TRMs.

Efficiency Nova Scotia 2017 DSM Evaluation Report 3.13 Overall Gross Savings The gross energy and peak demand savings resulting from the retirement of old appliances and small appliances through ARet and the pilot, and the appliance replac...

AI summary The 2017 DSM Evaluation Report by Efficiency Nova Scotia details gross energy and peak demand savings from appliance retirement programs (ARET) and the HomeWarming Program. Total gross energy savings were 5.266 GWh and 0.740 MW, with line-loss factors applied based on participant rate codes provided by Nova Scotia Power.

Refrigerators Freezers Conditioners Refrigerators Freezers Energy Savings Number of Units Retired 3,847 1,659 124 78 31 Unitary Savings (kWh) 751 863 251 209 327 Gross Energy Savings – at the Meter (GWh) 2.889 1.432 0.027 0.016 0.010 Line...

AI summary The text presents detailed data on energy savings and peak demand reductions achieved through the retirement of various appliances, including refrigerators, freezers, and conditioners. It includes metrics such as the number of units retired, energy savings at the meter and generator, equivalent effective useful life, and gross lifetime energy savings.

Refrigerators Freezers Refrigerators Freezers Dehumidifiers Refrigerators Energy Savings Number of Units Retired 10 2 1 59 203 124 6,138 Unitary Savings (kWh) 814 674 295 705 1,399 660 - Gross Energy Savings – at the Meter (GWh) 0.008 0.00...

AI summary The text presents a detailed table of energy savings achieved through the retirement of various appliances, including refrigerators, freezers, and dehumidifiers. It includes metrics such as the number of units retired, energy savings, line loss factors, and equivalent effective useful life, providing a comprehensive overview of the impact of appliance retirement programs.

cipants affected, but also the difference in savings associated with each scenario. This methodology was followed to establish the net unitary savings, as described in previous sections of the report. To obtain an equivalent NTGR that take...

AI summary The text discusses a methodology for calculating net unitary savings and equivalent NTGR (Net to Gross Ratio) by considering both unitary savings and spillover effects. Table 41 provides data related to appliance retirement and residential efficient product rebates under the Efficiency Nova Scotia 2017 DSM Evaluation Report.

hip Market Impact Consump. Appliances (kWh) (kWh) (kWh) (kWh) (kWh) Refrigerators 3,847 751 278 53 10 410 0.55 Freezers 1,659 863 345 44 9 465 0.55 Air Conditioners 124 215 129 20 0 66 0.32 1% Small 78 209 92 14 0 103 0.50 Refrigerators Sm...

AI summary The text discusses energy savings from appliance replacements through the HomeWarming program and a pilot, using an NTGR of 1. Net energy savings were calculated as 3.094 GWh and 0.443 MW, leading to 2,021 tonnes of avoided CO2 eq annually. Lifetime energy savings were estimated at 23.050 GWh using an EUL of 7.4 years.

nually. Based on the average equivalent EUL of 7.4 years, the net lifetime energy savings at the generator were established at 23.050 GWh. The detailed savings results are shown in Table 42 below. 33 When the Evaluator was drafting this ev...

AI summary The evaluation report discusses energy savings from the Appliance Retirement program, using an average equivalent EUL of 7.4 years to establish net lifetime energy savings of 23.050 GWh. Data sources include Nova Scotia Power and Emera Inc.

0.60 0.443 MW NTGRs varied for each type of appliance. The NTGRs presented in this table correspond to the rounded averages obtained by dividing net savings by gross savings. The overall evaluated net energy savings are 12 percent higher t...

AI summary The document discusses energy savings evaluations, noting that net energy savings are 12% higher than tracked values due to increased freezer savings and revised energy savings. Net peak demand savings are 21% higher, attributed to changes in the peak-demand-to-energy ratio for dehumidifiers. The Instant Savings program provides rebates for energy-efficient products.

by ENS in the tracking system, as well as the revised gross unitary savings used by the Evaluator to accurately establish the savings associated with the products sold through Instant Savings in 2017. For 2017, the Evaluator reviewed only...

AI summary The document discusses the evaluation of unitary savings for LED lamps and other products under the Instant Savings program in 2017. It highlights the use of distinct savings values for LED A-type and Non-A-type lamps, based on a general lighting equation, and the reliance on 2016 values for other products with stable savings.

𝑦𝑟 𝑊 1000 [ ] 𝑘𝑊 ENS uses displaced wattages of 24.9 W and 44.1 W respectively for LED A-type and Non-A-type lamps. Displaced wattage represents the difference between the old and new wattages. The new wattages were determined using the LE...

AI summary ENS calculates displaced wattages for LED lamps based on 2016 data, using two baseline approaches: early replacement and replace on burn-out. The daily hours of operation used in calculations is derived from the NERHOU Study, averaging 2.9 hours per day.

the recent 12-month period is insufficient to provide the necessary levels of confidence and precision, a long term in-service rate can be used using all bulbs regardless of the time of purchase.” 40 As in the past three years, the Evaluat...

AI summary The Evaluator notes that using a long-term in-service rate for LED lamps may be more accurate due to storage patterns, but has continued to claim savings in the year of purchase. Storage patterns have changed, with more multipacks sold, and more participants replacing lamps as they burn out, suggesting a need for an in-service rate in 2018.

Also, ENS uses a daily hours of operation value of 2.9 based on the NERHOU study.41 Revised Savings The Evaluator reviewed the unitary savings value associated with LED recessed downlight fixtures. Displaced Wattage To establish the displa...

AI summary The document discusses the calculation of displaced wattage for LED recessed downlight fixtures in the Instant Savings program, using data from the 10 best-selling models and referencing the NERHOU study for daily hours of operation. The average wattage of the LED fixtures and their equivalent incandescent/halogen counterparts is analyzed to determine energy savings.

old operating time of 4.75 hours per day and a new operating time of 2.95 hours per day remain adequate. Further information about outdoor motion sensors is discussed in Appendix VII. Unitary Savings Using the aforementioned displaced watt...

AI summary The document discusses energy savings calculations for LED fixtures and efficient refrigerators under the Instant Savings program. It revises unitary savings values based on updated regulations and provides details on the operating hours and energy consumption of these products.

e 1, 2017. Therefore, the Evaluator used two revised unitary savings values for efficient refrigerators; one was applied to appliances sold before June 1, 2017, and the other to those sold thereafter. The Evaluator reviewed the average con...

AI summary The Evaluator analyzed refrigerator energy consumption data before and after June 1, 2017, to determine unitary savings values for efficient refrigerators under the Instant Savings program. Two revised unitary savings values were used: 100 kWh/year before June 1, 2017, and 49 kWh/year thereafter, based on average consumption data from the 10 most popular models.

on – Efficient Refrigerator 418 418 Annual Unitary Savings 100 49 Efficient Clothes Washers Tracked Savings In 2017, ENS used a unitary savings value of 171 kWh per year for efficient clothes washers sold through Instant Savings before Jun...

AI summary In 2017, ENS updated the unitary savings value for efficient clothes washers from 171 kWh/year to 135 kWh/year after June, due to a new regulation. The change was based on updated energy consumption data and adjustments for water heating and washing habits.

n for Clothes Overall Electricity Consumption Electricity Consumption Washers Consumption52 (kWh) (kWh) Water Heating System 24.8% 163 110 Clothes Dryer 68.1% 448 302 Clothes Washer Drum 7.1% 47 31 Total 100.0% 658 443 To estimate the savi...

AI summary The text discusses electricity consumption by various household appliances, focusing on water heating systems, clothes dryers, and washers. It outlines a method for estimating energy savings from water-heating system improvements, using data from the Energy Efficiency Ratings directory.

Ratings directory. This same percentage was applied to efficient clothes washers. Where an internal heater was present, it was assumed that 100 percent of the water heating savings were to be claimed. For clothes washers using a domestic h...

AI summary The document discusses the methodology used to calculate water heating savings for efficient clothes washers, considering the proportion of electrical DHW tanks in Nova Scotia. Discrepancies in data from Natural Resource Canada and EPI participants led to an update in the values used, affecting energy consumption and savings calculations.

was available on the subject, the Evaluator used the Savings Calculator for ENERGY STAR Qualified Appliances value of 5,840 hours per year (16 hours per day all year long) for annual operating hours. Currently, the Canadian government has...

AI summary The Evaluator used the Savings Calculator for ENERGY STAR Qualified Appliances to estimate annual operating hours and energy consumption for air purifiers. Due to the lack of efficiency data for room air purifiers, baseline values were assumed. ENERGY STAR certified models had lower annual consumption compared to standard models, resulting in estimated unitary savings of 480 kWh per year.

ars with integrated timers and load sensing power bars were drawn from a report on smart strips made by PowerSmart Engineering,110 which is the most referenced source in the TRM addressing power bars. For efficient bathroom fans, only the...

AI summary The text discusses the calculation of revised gross savings for energy efficiency measures, including the use of EUL values and line-loss factors. It references reports and data sources such as the GDS Measure Life Report and the DEER2014 EUL Table, and notes the contribution of Nova Scotia Power in providing the line-loss factor used for residential consumers.

t Rebates program. Appliance Retirement A total of 6,138 appliances were retired or replaced through ARet in 2017, generating 3.094 GWh in net energy savings and 0.443 MW in net peak demand savings. The number of appliances retired through...

AI summary In 2017, the Appliance Retirement (ARet) program retired 6,138 appliances, achieving energy and peak demand savings. The HRSB pilot was launched, and metering activities were conducted to improve data accuracy. The Instant Savings program also achieved significant energy and peak demand savings, though slightly below its targets.

Efficiency Nova Scotia 2017 DSM Evaluation – Appendix Report Outdoor Motion Sensors ENS and the Evaluator used a unitary savings value of 159 kWh per year for outdoor motion sensors, based on last year’s evaluation results. This value is b...

AI summary The document details the methodology used by Efficiency Nova Scotia (ENS) in evaluating energy savings from outdoor motion sensors, power bars with integrated timers, and load sensing power bars. Savings values are based on past evaluations and assumptions from the OPA 2011 report and other technical references.

y measure introduced by a program after participating in it once, without participating in the program a second time. The proportion of incentivized products that are installed and operating. This rate is usually applied to programs throug...

AI summary The text defines several key metrics used in energy efficiency programs, including in-service rate, lifetime energy savings, line loss factor, margin of error, market effects, net energy savings, and net-to-gross ratio. These metrics help assess program effectiveness, energy savings, and market impacts.

Errors arising during the course of all survey activities other than sampling. Non-sampling error Non-sampling errors tend to lead to bias in measurements and are very difficult to quantify. Peak coincidence The percentage of measure deman...

AI summary The text discusses various concepts related to energy efficiency and measurement, including non-sampling errors, peak coincidence, precision, random sampling error, sample size, secondary market impacts, tracked savings, and unitary savings. These concepts are relevant to evaluating the effectiveness of energy efficiency programs.

submit the required documentation to receive incentives, and financing has been discontinued. That said, ENS is working with Nova Scotia Power to cross-promote the on-bill financing option they offer. Other changes under the new path relat...

AI summary The Green Heat program underwent changes, including the discontinuation of financing and adjustments to heat pump incentives. The program achieved significant energy and peak demand savings in 2017, with evaluations based on documentation reviews, interviews, and participant surveys.

ompleted, the time required to complete the work, the energy-efficient products installed, and the information provided by the installer, also received strong satisfaction ratings. EPI Energy Savings To calculate EPI’s gross energy savings...

AI summary The evaluation of EPI's energy savings found high installation rates across most product categories, except for smart power controllers, which had a low installation rate. Despite efforts to improve this, the rate remained low. Net energy savings were calculated using an NTGR, which varied by participant group.

ercent for tenants, resulting in an overall level of 6 percent. Overall, the weighted average NTGR for low-income and non- low-income participants combined was established at 0.92 as shown in Table 6. Table 6: EPI’s Net-to-gross Ratios LED...

AI summary The document discusses EPI's net-to-gross ratios (NTGR) for low-income and non-low-income participants, highlighting differences in energy savings. The weighted average NTGR for combined participants was 0.92, with specific values for LED lamps and other products. EPI's net energy savings and peak demand savings in 2017 are also presented.

has continued reviewing projects in 2017, as per Recommendation 2016 HEA-R3, to ensure the overall quality of the simulations and that all the data needed to model the homes is collected and recorded. 1.3 Participation History A total of 9...

AI summary In 2017, 931 participants took part in the Home Energy Assessment (HEA) program, with participation levels similar to the previous year but lower than in earlier years due to the discontinuation of provincial funding in 2015. Despite lower participation, average savings per participant increased significantly to 8.922 MWh, partly due to incentives for space-heating equipment and a higher percentage of participants installing such appliances.

of the wood and pellet space-heating equipment is considered to be electric baseboards, the tracked savings were considered accurate and the Evaluator made no adjustment to the unitary savings value. For those participants who used an air-...

AI summary The document discusses adjustments made to unitary savings values for wood and pellet stoves based on the use of air-source heat pumps (ASHP) as a baseline. The tracked savings were adjusted by dividing by an average coefficient of performance (COP) of 2.1, with revised values established for 2017. No savings values were established for solar air equipment due to lack of installations.

ration which preheats cold water between the hot water tank and shower and an R3-60 model unit, which meets the HEA minimum efficiency requirement and is included in the list of NRCan eligible models. The Evaluator considered that the onli...

AI summary The text discusses the efficiency of drain water heat recovery (DWHR) systems and solar domestic hot water (DHW) systems under the Home Energy Assessment (HEA) program. It notes the use of a unitary savings value for DWHR systems and references a solar DHW savings value based on past installations.

systems installed through Green Heat. The unitary savings value was established by the Evaluator at 2,803 kWh per year for the solar DHW systems installed through HEA in 2017. Heat Pump Water Heater The annual unitary savings value used by...

AI summary The document outlines energy savings values for solar DHW systems and heat pump water heaters (HPWH) installed through HEA. The unitary savings values are established using modeling techniques and historical data, with HPWH savings calculated based on differences in energy use between standard and HPWH systems.

et of EUL values that could be consistently used across the New England states. The EUL values documented in this report were obtained through a literature review as well as stakeholder consultations. ENS currently uses a EUL value of 26.7...

AI summary The document discusses the use of Energy Use Life (EUL) values for energy efficiency measures, suggesting the use of different EUL values for different types of measures to more accurately calculate lifetime energy savings. It references various reports and literature reviews to support these recommendations.

e Evaluator chose to use an EUL value of 20 years for both measures since this value is in line with the EUL value proposed in the Massachusetts report and the Ohio TRM. 4.1.7 Revised Gross Savings The annual gross savings for HEA are pres...

AI summary The Evaluator used an EUL value of 20 years for energy efficiency measures, aligning with Massachusetts and Ohio reports. Adjustments to gross savings for HEA included revised unitary savings for heating equipment, solar DHW systems, and Green Heat deductions. Line loss factors were applied to estimate generator-level savings, resulting in 8.306 GWh and 2.348 MW annual energy and peak demand savings, with 166.116 GWh in lifetime savings.

nverted D assessment spillover savings do not depend on the number of regular HEA participants, they are accounted for in measurement units instead of a percentage, without being included in the NTGR. In the previous evaluation, a survey c...

AI summary The evaluation of unconverted D assessment spillover savings uses a 54% participation rate and an average electrical savings of 2,283 kWh per participant, derived from previous assessments. Peak demand savings are calculated using the same demand-to-energy ratio as for regular HEA participants, resulting in 0.632 GWh and 0.179 MW of savings.

0.283 Total Unconverted D Assessment Spillover Peak Demand Savings – at the Meter (MW) 0.179 4.4 Net Savings Net savings represent the savings that can be reliably attributed to a program component. They are calculated by applying the afor...

AI summary The text discusses net savings from a program, calculating them using a NTGR factor and unconverted D assessment spillover savings. It estimates energy and peak demand savings for HEA in 2017, and calculates avoided CO2 emissions based on Nova Scotia-specific GHG factors from 2016.

Efficiency Nova Scotia 2017 DSM Evaluation Report MSHPs were added to the Green Heat offerings in 2015 and quickly became very popular, now accounting for the majority of products installed through Green Heat. Another change under the new...

AI summary The 2017 DSM Evaluation Report discusses updates to the Green Heat program, including the addition of MSHPs and changes to eligibility criteria. It also outlines the program's goals for electricity and peak demand savings and references the 2016 evaluation report's recommendations and their implementation status.

HPs and ASHPs as a result of the billing analyses conducted in 2017. However, peak demand savings increased similarly to participation levels since they were not affected by billing analysis findings. Figure 10: Summary of Gross Savings fo...

AI summary The evaluation of the Green Heat program in 2017 focused on analyzing energy savings and peak demand reductions. The methodology included billing analyses and data collection activities, with results showing increased savings over time despite initial findings in 2017.

aking processes in purchasing the equipment, satisfaction and concerns with Green Heat, appropriate pricing for purchased equipment, awareness of the MSHP market, and recommendations for improvements. The Evaluator interviewed 20 contracto...

AI summary The evaluation discusses the August 2017 transition of the Green Heat program from requiring ENS approval before installation to a mail-in rebate program. This change was made to reduce burdens on contractors, participants, and ENS, and was prompted by three interrelated problems with the previous process.

7.6 Don't Know Dissatisfied (0-4) Moderately Satisfied (5-7) Highly Satisfied (8-10) Responses of Don’t Know were excluded from all average ratings. The financial aspects of participation were the most helpful elements of Green Heat report...

AI summary Participants in the Green Heat program found the financial aspects, particularly rebates and financing options, most helpful. Despite low satisfaction with rebate amounts, over half cited monetary benefits as the most helpful. A third found programmatic assistance, such as education on efficient equipment, most helpful.

, and benefits of Green Heat would be useful to hand out during the consultation process. Additionally, eight contractors (53%) indicated that ENS should expand the list of rebate-qualified equipment. The majority of contractors expressed...

AI summary Contractors involved in the Green Heat program expressed satisfaction with ENS's service and support, though some suggested improvements such as outreach support, expanding rebate-qualified products, and restoring financing options. Most contractors supported expanding the list of rebate-qualified equipment.

e information found on the invoice. With the information collected on site, the Evaluator later confirmed that the GSHP model installed met Green Heat performance requirements. Solar Thermal Measures The results of the three visits confirm...

AI summary The evaluation of Green Heat installations confirmed proper installation of GSHP and solar thermal systems, though one solar thermal project was ineligible due to using oil for DHW heating. ENS made an exception for customer service reasons.

Efficiency Nova Scotia 2017 DSM Evaluation Report 8.1.2 Savings Review of Biomass Measures, Solar Measures and Hybrid Heat Pump Water Heaters The Evaluator reviewed the savings methodologies and calculation values for all biomass and solar...

AI summary The document evaluates energy savings from biomass, solar, and hybrid heat pump water heaters installed under Green Heat in 2017. Unitary savings values for wood and pellet stoves are based on HOT2000 models, calibrated to historical electrical consumption, with adjustments made for participants using ASHPs based on COP values from the Pennsylvania Public Utility Commission's TRM45.

Value (kWh/year) Savings Value (kW) Wood Stove with Electrical Resistance Baseline 10,443 4.0 Pellet Stove with Electrical Resistance Baseline 8,959 4.0 Wood Stove with ASHP Baseline 5,222 4.0 Pellet Stove with ASHP Baseline 4,480 4.0 Revi...

AI summary The document discusses energy savings values for various heating systems, including wood and pellet stoves with and without ASHP, and wood and pellet boilers and furnaces. It notes that revised savings values were applied due to a calculation error in a prior report and that tracked savings values are based on a 2010 program review and adjusted using billing analysis and energy modeling.

of the calculated energy savings values. Therefore, the Evaluator recommends that ENS continue using the RETScreen energy models to determine unitary savings. Heat Pump Water Heaters Tracked Savings The unitary savings value for HPWHs was...

AI summary The document discusses the calculation of energy savings values for heat pump water heaters (HPWHs) using energy models and the determination of unitary peak demand savings based on a demand-to-energy ratio. The Evaluator recommends continuing the use of RETScreen models for energy savings calculations.

Tracked Energy Savings Value Tracked Peak Demand Savings Value Category of Equipment (kWh/year) (kW) Heat Pump Water Heaters 2,183 0.354 Revised Savings The Evaluator reviewed the existing unitary savings value and concluded that the metho...

AI summary The document reviews the tracked energy savings and peak demand savings values for heat pump water heaters and mini-split heat pumps (MSHPs) under the Efficiency Nova Scotia program. It notes that the existing methodology for calculating savings remains adequate and discusses changes in the incentive structure for MSHPs, including expanded eligibility to non-electrically heated households.

FLH for cold climate heat pumps specifically (526 hours in winter 2015 and 420 hours in winter 2016) are of the same magnitude as the average value of 668 hours obtained through this billing analysis. The significant impact of secondary no...

AI summary The document discusses the impact of secondary non-electrical heating systems on energy savings from heat pumps, referencing studies from Ecotope and the Cadmus Group. It highlights a significant decrease in savings for households with such systems and notes the methodology used for calculating savings in non-electrically heated homes.

are purchasing heat pumps sooner than anticipated because of Green Heat, the Evaluator did not make adjustments to account for the change in timing due to Green Heat influence for the 2017 evaluation. The Evaluator conducted a sensitivity...

AI summary The evaluation found that Green Heat influenced participants to purchase heat pumps earlier than expected, impacting savings calculations. Sensitivity analysis showed that 30% of non-electrically heated households would need to have a non-electrical basecase for average first-year savings to be nil. However, only 19% of participants indicated they would have delayed purchases without Green Heat, suggesting a positive overall energy savings impact.

d by the survey results. Revised Parameters Summary Table 39 summarizes the parameters used in the energy and peak demand savings equations for MSHPs installed in non-electrically heated households. Table 39: Parameters Used for Savings Ca...

AI summary The document discusses the parameters used in energy and peak demand savings equations for MSHPs installed in non-electrically heated households. It references Energy Efficiency Regulations and AHRI Certified Values as sources for these parameters.

› If participants intended to keep their non-electrical heating system, then the purchase of an ASHP results in increased electricity consumption and therefore electricity savings are negative. No survey could be conducted for participants...

AI summary The evaluation of ASHP installations in non-electrically heated households considers scenarios where electricity consumption increases, leading to negative savings. Due to limited data, an average unitary savings value was used. The Evaluator relied on established parameters and calculated values based on heating capacity, HSPF, and EFLH.

1 ∗ 0 _ Thus, an average unitary energy savings value of 352 kWh and an average unitary peak demand savings value of 1.06 kW were used to calculate savings generated by ASHPs installed in non-electrically heated households. Ground-source H...

AI summary The document discusses energy savings calculations for ASHPs and GSHPs, including the use of standardized algorithms and performance data. It references specific values for energy efficiency and heating/cooling hours based on external technical references.

ions; one major difference is that GSHPs run at a constant capacity and efficiency independently of outside air temperature. Despite this, the value of 2,280 hours seems too high for two main reasons: › This savings value is based on a hea...

AI summary The document evaluates the energy savings of Ground-Source Heat Pumps (GSHPs) installed through the Green Heat program, noting that the estimated savings of 24,000 kWh may be too high compared to an average of 14,600 kWh based on billing analysis. Factors such as secondary heating systems and the heating capacity used in calculations are cited as reasons for potential overestimation.

ulated the difference in electricity consumption between the pre-installation and post- installation periods. The Evaluator also analyzed the annual electricity consumption prior to GSHP installation. Electricity savings were obtained for...

AI summary The evaluation analyzed electricity consumption before and after GSHP installation, finding significant savings for five of nine participants. Results for others were not statistically significant, possibly due to existing central heat pumps. The analysis focused on four participants without prior central heat pumps.

8 GSHP Wood/Pellet Stove Yes 16,778 1,171 9 GSHP Natural Gas Yes 47,422 4,284 It was not possible to obtain annual energy consumption or savings for one of the fully-electrically heated households because sufficient data was not available....

AI summary The analysis of energy savings from GSHP installations shows that the current ENS value is too high. Savings for some participants were lower than expected, and the Evaluator suggests using an ELFH value of 1,384 hours for more accurate calculations. The same methodology was used for peak demand savings.

ting has very few mobile mechanical components. 8.1.7 Summary of Savings Values Table 46 and Table 47 list the tracked and revised savings values for each measure installed under Green Heat. Table 46: Tracked and Revised Unitary Savings Va...

AI summary The text provides a summary of savings values for various energy efficiency measures under the Green Heat program, including tracked and revised unitary energy and demand savings for biomass, solar, and domestic hot water (DHW) measures. Tables list specific savings values for different technologies such as wood stoves, pellet stoves, and heat pump water heaters.

Energy Savings Number of Units 50 20 2 0 14 3 Tracked Energy Savings (GWh) 0.484 0.171 0.028 0.000 0.036 0.007 Adjustment Ratio for Energy Savings N/A N/A N/A N/A 1.000 N/A Revised Unitary Energy Savings (kWh) 10,443 8,959 13,804 13,765 N/...

AI summary The text presents data on energy savings and peak demand savings across various categories, including the number of units, tracked energy savings, adjustment ratios, and gross energy savings at different points in the system. It also includes metrics such as line loss factor, effective useful life, and gross lifetime energy savings.

Revised Gross Energy and Peak Demand Savings for Green Heat (Continued) MSHP – MSHP – MSHP – ASHP and ASHP and Measure Category Fully Mainly Non- AWHP – AWHP – Non- GSHP Total Electrical Electrical electrical Electrical electrical Energy S...

AI summary The text presents revised gross energy and peak demand savings for various heating technologies, including MSHP, ASHP, and GSHP, with data on the number of units, energy savings, adjustment ratios, and effective useful life. This information is used to evaluate the impact of energy efficiency measures in Nova Scotia.

Efficiency Nova Scotia 2017 DSM Evaluation Report 8.3 Net Savings Net savings are defined as the energy use reductions specifically attributable to Green Heat. Net savings were estimated by applying the NTGR listed above to the evaluated g...

AI summary The 2017 DSM Evaluation Report by Efficiency Nova Scotia calculates net savings from the Green Heat program. Net savings are determined using the Net-to-Gross Ratio (NTGR) applied to gross evaluation savings. Total net energy savings were 2.980 GWh, resulting in 1,946 tonnes of avoided CO2 eq annually. The average Estimated Useful Life (EUL) of 18.10 years leads to 53.925 GWh of net lifetime energy savings.

has increased somewhat over time (from 12.34 to 13.04), there is very little change in the overall efficiency of the incented units over the period. 9.2.3 Market Share of High-efficiency MSHPs The Evaluator interviewed contractors who sell...

AI summary The text discusses the market share of high-efficiency MSHPs in Nova Scotia, noting that 90% of sales by interviewed contractors would have qualified for Green Heat, though this may be overestimated due to eligibility changes in August 2017. The data comes from the 2017 ENS Green Heat Tracking Sheet.

in Table 58 are still appropriate and correspond to the revised unitary savings. 96 NREL, Uniform Methods Protocol Chapter 6 : Residential Lighting Evaluation Protocol, February 2014, pp. 6-20. Efficient Product Installation 118 Existing R...

AI summary The document discusses the revision of unitary savings for LED nightlights and holiday lights installed through the Efficient Product Installation (EPI) program. Savings were recalculated based on updated wattage values and operational hours, reflecting more accurate energy efficiency data.

oliday lights. Based on the evaluation results in the 2015 LED Holiday Light Exchange Report, ENS established the savings of each set of LED lights at 29.4 kWh in its tracking system. Revised Savings To update the unitary savings values us...

AI summary The report discusses the revised unitary savings value for LED holiday lights, changing from 29.4 kWh to 43.6 kWh, based on updated data from 2017. It also outlines assumptions about the number of sets replaced by participants and suggests validation methods for 2018 savings.

2 sets × 94.0 W × 232 h/yr = 43.6 Unitary Energy Savings Value (per exchange) kWh/year Efficient Product Installation 121 Existing Residential Program Efficiency Nova Scotia 2017 DSM Evaluation Report 13.1.4 Faucet Aerators Tracked Savings...

AI summary The document discusses the unitary energy savings values for faucet aerators installed in single-family homes and apartments, based on evaluations from 2014 and 2016. These values are calculated using a custom equation that considers flow rate reduction, total domestic hot water consumption, and the number of faucet aerators per home.

ow rate, the total DHW consumption and the number of faucet aerators per home. This algorithm was established in the 2014 evaluation report and was used again for the 2016 evaluation. Revised Savings The algorithm used in the three previou...

AI summary The text discusses the algorithm used to determine the unitary savings values for faucet aerators, noting that it has remained consistent since the 2014 evaluation. Adjustments were made in 2017 based on average occupancy and faucet counts for single-family homes and apartments, with specific values provided in Table 62.

tank wraps installed through EPI have a thermal resistance of 1.21 m2·°C/W. ENS uses a unitary savings value of 131 kWh per year for single-family homes and a value of 118 kWh per year for apartments. These two unitary savings values have...

AI summary The document discusses revised energy savings values for hot water tank wraps installed through the Efficient Product Installation (EPI) program, noting a change in thermal resistance for single-family homes. It also mentions the use of a unitary savings value for smart power controllers for audio-visual equipment since 2013.

ontrollers for Audiovisual Equipment Tracked Savings Since 2013, ENS has used a unitary savings value of 411 kWh per year for the installation of a smart power controller for audio-visual equipment. This unitary savings value is based on a...

AI summary Since 2013, ENS has used a unitary savings value of 411 kWh per year for smart power controllers for audiovisual equipment. This value was based on a South African study and validated by the Victorian State Government. In 2015, the Evaluator confirmed this value was appropriate but noted that homes with more than two controllers may have reduced savings, recommending a limit of two controllers per home.

was established at 1.509 W/kWh. Table 67 below lists the peak-demand-to-energy ratios established for each category of measure. These ratios are applicable to both single-family homes and apartments. Table 67: Peak-demand-to-energy Ratios...

AI summary The document provides peak-demand-to-energy ratios for various energy efficiency measures, including lighting products and insulation. It also discusses interactive effects, such as how replacing lighting with LEDs can impact heating and cooling loads in a home.

ivalent EUL values by measure. It should be noted that a single EUL value is applied to all EPI building types. Table 72: Summary of Effective Useful Life Values by Measure Category ENS Tracked Revised Measure Reference EUL Equivalent EUL...

AI summary The text discusses Effective Useful Life (EUL) values for various energy efficiency measures, comparing ENS-tracked values with revised equivalents. The Evaluator concludes that EUL values for low-flow showerheads, pipe insulation, and smart power controllers are accurate based on literature review and input from TRMs.

he following measures’ EUL values tracked by ENS are accurate since these values are used by most of the TRMs consulted: › Low-flow showerheads › Pipe insulation › Smart power controllers 109 Database for Energy Efficiency Resources (DEER)...

AI summary The document discusses the adjustment of Energy Use Life (EUL) values for various energy efficiency measures based on literature reviews and reports, including updates for faucet aerators, hot water tank wraps, and LED lamps, referencing the Database for Energy Efficiency Resources (DEER) and other studies.

to determine the lifetime energy savings. ∆ 1 ∆ 6 ∆ 18 ∆ The resulting equivalent EUL values for A19 LED lamps typically replacing 40 W, 60 W and 100 W incandescent lamps are respectively seven, nine and ten years. It should be noted that...

AI summary The document discusses the equivalent useful life (EUL) of A19 LED lamps and reflector lamps (GU10) based on energy efficiency standards. It notes that EUL for A19 LED lamps ranges from seven to ten years, depending on wattage, and highlights the impact of EISA 2020 on baseline efficiency levels. For reflector lamps, the EUL is capped at seven years due to the lack of intermediate technology between halogen and LED lamps.

s for Programs, Poster presented at the 2017 International Energy Program Evaluation Conference, Baltimore, MD. 125 As imposed by US federal legislation. Incandescent Equivalent 2nd Tier EISA 2007. Efficient Product Installation 139 Existi...

AI summary The document discusses the evaluation of an existing residential energy efficiency program in Nova Scotia, specifically focusing on the Efficient Product Installation (EPI) initiative. It references the Energy Independence and Security Act (EISA) 2020 and compares halogen and CFL baseline wattages for decorative lamps over different time periods.

33 7 0 E12 40 5 40 35 7 2 Chandelier Finally, LED nightlights and LED holiday lights are not affected by the Canadian or American legislation since they are not defined as general-service lamps (they generate less than 310 lumens). For LED...

AI summary The text discusses the exclusion of LED nightlights and holiday lights from certain energy efficiency legislation due to their lumens output. It also provides data on energy savings from EPI installations in 2017, including gross energy and peak demand savings, and explains the line loss factor used in calculations.

1.099 1.099 1.099 1.099 1.099 1.099 Total Gross Energy Savings – at the Generator (GWh) 0.158 9.318 0.224 0.041 1.102 0.068 Effective Useful Life (years) 7 9 10 7 9 10 Gross Lifetime Energy Savings – at the Generator (GWh) 1.103 83.859 2.2...

AI summary The text presents data on energy and peak demand savings across various categories, including total gross energy savings, effective useful life, and peak demand savings at the meter and generator. The data includes adjustments made to peak demand-to-energy ratios for lighting products.

Category of Product 11W 18W 18W 7W GU10 7W GU10 5W Replacing Replacing Replacing Replacing Replacing 7W G25 Chandelier 60W 75W 100W 35W 50W E12 Energy Savings Total Number of Units 12 191 1,596 1,806 11,410 4,041 28,298 Installation Rate (...

AI summary The text presents a detailed breakdown of energy savings data for various lighting products, including installation rates, energy savings values, and lifetime energy savings. It includes metrics such as energy savings in kWh, gross energy savings at the meter and generator, and peak demand savings. The data spans multiple product categories and highlights the impact of energy-efficient lighting solutions.

Energy Savings Total Number of Units 661 8,533 7,317 883 1,225 2,438 Installation Rate (%) 100% 97% 93% 89% 89% 89% Total Number of Units Installed 661 8,277 6,805 786 1,090 2,170 Unitary Savings Value (kWh) 43.6 28.5 98 236 354 472 Intera...

AI summary The text presents data on energy savings from various programs, including the number of units installed, installation rates, energy savings values, and peak demand savings. It includes metrics such as unitary savings value, interactive effects factor, and gross lifetime energy savings.

avings and using the following equation: Net Savings = Gross Savings × NTGR This equation was used to calculate both peak demand savings and energy savings. Efficient Product Installation 151 Existing Residential Program Efficiency Nova Sc...

AI summary The document calculates net energy and peak demand savings from the Efficient Product Installation (EPI) program in 2017, estimating 17.877 GWh in energy savings and 2.129 MW in peak demand savings. It also estimates annual CO2 emissions avoided due to these savings and provides the methodology used, including the application of Nova Scotia’s specific GHG emissions factor.

Category of Product 9W 9W 9.5W 9.5W 9.5W 9W Replacing Replacing Replacing Replacing Replacing Replacing 60W 40W 100W 40W 60W 100W Energy Savings Total Gross Energy Savings – at the Meter (GWh) 0.153 9.436 0.281 0.039 1.020 0.062 NTGR 0.87...

AI summary The text presents data on energy savings and peak demand savings for various categories of products, including metrics like gross and net energy savings, net-to-gross ratio (NTGR), line loss factor, effective useful life, and net lifetime energy savings. It also includes peak demand savings at the meter and generator levels.

Evaluated Net Energy and Peak Demand Savings by Product Category for EPI (Continued) Hot Water Smart Power Total for All Category of Product Pipe Insulation Tank Wrap Controllers Products Energy Savings Total Gross Energy Savings – at the...

AI summary The document presents evaluated net energy and peak demand savings by product category for the Efficient Product Installation (EPI) program, including metrics such as gross and net energy savings, line loss factors, and net lifetime energy savings at the generator level.

NTGR Net Savings Savings Savings Energy Savings ENS Tracked Savings 21.257 GWh 20.460 GWh 0.88 18.082 GWh Evaluation Results 21.308 GWh 19.439 GWh 0.92 17.877 GWh Peak Demand Savings ENS Tracked Savings 3.487 MW 3.461 MW 0.87 3.012 MW Eval...

AI summary The document discusses energy and peak demand savings tracked by ENS and evaluated results, noting a 1% decrease in net energy savings and a 29% decrease in net peak demand savings. These differences are attributed to changes in installation rates and adjustments to savings calculations.

romotional material. ENS could request retailer inputs about which equipment to promote to achieve energy savings that would not occur otherwise. Savings review for 7. Significant uncertainty remains about the magnitude of any savings decr...

AI summary The document discusses uncertainties in energy savings from heat pump programs, particularly for mini-split heat pumps and central air-source, air-to-water, and ground-source heat pumps. It highlights the need for more precise quantification of savings decreases and recommends further investigation through on-site visits to validate assumptions about secondary heating systems.

Efficiency Nova Scotia Final Report Northeast Energy Efficiency Partnerships Study In the Northeast Energy Efficiency Partnerships lighting metering study, 5,730 lamps were metered in 848 households in Connecticut, Massachusetts, New York,...

AI summary This report discusses a study on residential lighting efficiency, comparing the Northeast Energy Efficiency Partnerships metering study with Efficiency Nova Scotia's program. It highlights differences in participant selection and lamp usage patterns, emphasizing how EPI's approach ensures consistent usage of efficient lamps.

program after participating in it once, without participating in the program a second time. The proportion of incentivized products that are installed and operating. This rate is usually applied to programs through which rebates are offere...

AI summary The text defines several key metrics related to energy efficiency programs, including in-service rate, lifetime energy savings, line loss factor, margin of error, market effects, net energy savings, and net-to-gross ratio. These metrics are used to evaluate the effectiveness and impact of energy efficiency initiatives.

Errors arising during the course of all survey activities other than sampling. Non-sampling error Non-sampling errors tend to lead to bias in measurements and are very difficult to quantify. Peak coincidence The percentage of measure deman...

AI summary The text discusses various statistical and measurement concepts in energy efficiency programs, including non-sampling errors, peak coincidence, precision, sample size, secondary market impacts, tracked savings, and unitary savings. These concepts are relevant to the evaluation and measurement of energy savings in demand-side management initiatives.

e annual energy use in gigajoules. NHC’s incentive structure has since been adapted to accommodate this change by using this new EnerGuide rating system, but the rebate amounts have remained the same. In October 2016, Efficiency Nova Scoti...

AI summary The 2017 evaluation of the New Home Construction (NHC) program and the Passive House pilot found that combined net energy savings were 3.371 GWh and net peak demand savings were 0.954 MW. Participation in NHC was lower in 2017, but per-participant energy savings were the highest since 2011.

d on October 20, 2015, and any funding beyond that date was provided only to participants registered before the aforementioned date. Since then, only electrically-heated households have been eligible. Once a new home is registered, an ener...

AI summary The document outlines the eligibility criteria for the New Home Construction (NHC) program, the use of energy analysis tools like HOT2000, and the role of energy advisors in evaluating house plans and ensuring compliance with energy efficiency standards. Changes to the incentive structure were implemented in 2017.

with the following equation: To‐Code As‐Built Where EC corresponds to the total energy consumption of the house. Electrical heating systems must provide all or most of the home heating. When a non-electrical heating system is used as backu...

AI summary The document outlines two methods for calculating energy savings in home energy assessments. Method 1 uses a to-code and as-built comparison, while Method 2 uses savings per EnerGuide point for participants without a to-code value. The approach ensures conservative estimates and avoids double-counting fuel-switching savings.

late energy savings generated by passive houses is considered appropriate. Therefore, the Evaluator used the same approach to calculate 2017 Passive House pilot savings. 4.1.3 Overestimation Ratio The overestimation ratio is used to adjust...

AI summary The document discusses the use of an overestimation ratio of 16% to adjust energy savings calculations from the HOT2000 software, based on a regression analysis comparing simulated and actual heating consumption data from HEA participants. This ratio is applied to both HEA and NHC houses due to similar energy savings patterns.

House Projects ENS Tracked Measure Revised EUL Reference EUL Regional Technical Forum, UES Insulation 70.0 45.0 Measures – Built Green Washington11 GDS Measure Life Report, Table 1; Heating System 18.0 18.0 value for heat pump Analysis of...

AI summary ENS currently uses an EUL of 70.0 years for insulation in new construction, but the Evaluator suggests a lower value of 45.0 years based on other jurisdictions. For heating systems, ENS uses 18.0 years, which aligns with most jurisdictions and is consistent with the use of heat pumps.

ad installed heat pumps. Thus, the tracked value of 18.0 years was considered adequate for the heating system measures since it is the value used by most jurisdictions who all refer to the GDS Report. For efficient lighting, ENS currently...

AI summary The document discusses the effective useful life (EUL) of heating systems and LED lighting, referencing the GDS Report and practices in Illinois where LED savings are adjusted over time due to technological advancements and regulatory changes.

ojects and at 36.0 years for Passive House pilot projects. 4.1.7 Revised Gross Savings The annual gross savings for NHC and the Passive House pilot are presented in Table 9 and Table 10 below. The gross savings at the generator were calcul...

AI summary The document discusses the calculation of annual and lifetime energy savings for New Home Construction (NHC) and Passive House pilot projects, using line loss factors and effective useful life (EUL) values. It also references regulations related to energy efficiency for lighting products.

ergy EnerGuide Total Savings Point Savings Number of Participants 414 6 420 Energy Savings Total Number of Delta EnerGuide Points - 42 - Unitary Energy Savings (kWh) - 1,521 - Initial Gross Energy Savings (GWh) 3.364 0.064 3.428 Overestima...

AI summary The text presents energy savings data from a program involving 414 participants, showing total gross energy savings at the generator level of 94.849 GWh over an effective useful life of 30 years. It also includes peak demand savings of 0.895 MW and details related to line loss factors and energy efficiency metrics.

as exemplified in the following equation: Net Savings = Revised Gross Savings × NTGR This equation was used to calculate both peak demand savings and energy savings. The net energy and peak demand savings were respectively established at 3...

AI summary The text presents calculations of net energy and peak demand savings for NHC and the Passive House pilot, using a formula involving the Net Total Generation Ratio (NTGR). Net lifetime energy savings and associated annual CO2 emissions avoided are also provided, using a Nova Scotia-specific GHG emissions factor.

lot respectively. Table 12: Evaluated Net Energy and Peak Demand Savings Parameter NHC Passive House Pilot Energy Savings Revised Gross Energy Savings – at the Meter (GWh) 2.879 0.045 NTGR 1.06 0.39 Total Net Energy Savings – at the Meter...

AI summary The text presents energy and peak demand savings data for the NHC and Passive House Pilot programs, including metrics such as gross and net energy savings, NTGR, line loss factors, and effective useful life. These figures are compared with evaluations conducted by ENS.

Sections Recommendations 1. Conduct a process evaluation for NHC in 2018. During the 2017 evaluation, participants and builders made certain criticisms about NHC, especially on incentive levels and the participation process. Also, the NHC...

AI summary The text recommends conducting a process evaluation for the New Home Construction (NHC) program in 2018 due to declining participation and criticisms about incentive levels and the participation process. It also suggests a billing analysis to review the overestimation ratio using updated data and tools like HOT2000.

at all important” and 10 means “Extremely important”, please rate the importance of the following in terms of your decision to build houses with a high level of energy efficiency. 2015 2016 2017 Importance of Factors in Influencing Decisio...

AI summary The text presents survey data on the importance of various factors influencing builders' decisions to construct energy-efficient homes, including energy modeling services, incentives, and promotional materials, with sample sizes and mean ratings provided for the years 2015, 2016, and 2017.

DEFINITIONS Accuracy Reflects the proximity of measurements to the true value. The ratio of evaluated results to tracked results. This ratio expresses the Adjustment ratio adjustment made to tracked savings or other tracked values such as...

AI summary The text defines key terms used in energy efficiency and measurement, including accuracy, adjustment ratio, base case, bias, billing calibration, confidence interval, displaced wattage, and EnerGuide rating. These definitions are relevant to assessing energy savings and performance.

Table 1: Overall Participation and Savings for BER Participation Level Gross Savings NTGR Net Savings Mail-in Rebates Energy Savings 18.346 GWh 0.86 15.778 GWh Lifetime Energy Savings 288 projects 280.930 GWh 0.86 241.600 GWh Peak Demand S...

AI summary The Business Energy Rebates (BER) program in Nova Scotia provides financial incentives to reduce electricity consumption and demand through mail-in and instant rebates. The table outlines participation levels and savings, including energy and peak demand savings, with net-to-gross ratios (NTGR) applied to calculate net savings.

stributors across the province of Nova Scotia. 1 Throughout this report, energy savings always refer to first-year energy savings rather than lifetime energy savings, unless specified otherwise. Efficient Product Rebates Program xi Efficie...

AI summary The Efficient Product Rebates Program (BER) under Efficiency Nova Scotia achieved significant energy savings in 2017, exceeding its targets with 46.583 GWh in net electricity savings and 7.286 MW in net peak demand savings. These savings avoided 30,423 tonnes of CO2 eq in greenhouse gas emissions.

epresent 30,423 tonnes of CO2 eq in avoided greenhouse gas (GHG) emissions. The net lifetime energy savings are 547.135 GWh based on a weighted average effective useful life (EUL) value of 11.7 years. Figure 1 below provides an overview of...

AI summary The Business Energy Rebates (BER) program achieved significant energy and peak demand savings from 2011 to 2017, with the highest savings recorded in 2017 due to increased participation in Instant Rebates and higher average unitary savings. The program avoided 30,423 tonnes of CO2 eq in GHG emissions and saved 547.135 GWh of energy over its lifetime.

her), while one distributor rated a 6. Distributors appreciated the advance notification of rebate changes provided by ENS in 2017, as well as the accessibility and openness of discussions with staff. Distributors believed that BER Instant...

AI summary Distributors appreciated ENS's advance notification of rebate changes and open discussions. BER Instant Rebates had less influence on consumer behavior in 2017 due to increased LED familiarity, but influenced in-store product offerings. The Evaluator used a new approach to measure free-ridership, finding levels between 32-38% for LED products and an overall NTGR of 0.73.

s Table 4 below compares the 2017 tracked and evaluated savings for BER Mail-in and Instant Rebates combined. Table 4: Overall Comparison of Tracked and Evaluated Savings at the Generator for BER Initial Adjusted Net NTGR Gross Savings Gro...

AI summary Table 4 compares tracked and evaluated savings for BER Mail-in and Instant Rebates. Evaluated net energy savings are 8% lower than tracked values due to adjustments of 3% and 11% for Mail-in and Instant Rebates respectively. The net-to-gross ratio (NTGR) is also presented for both rebate programs.

Efficiency Nova Scotia 2017 DSM Evaluation Report BER Market Evolution Findings As part of the 2017 evaluation, the Evaluator conducted a market analysis of the LED product market in the BNI sector in Nova Scotia. The Evaluator analyzed se...

AI summary The 2017 DSM Evaluation Report by Efficiency Nova Scotia highlights the significant growth in LED technology adoption in the BNI sector, with market share increasing from 0% in 2010 to 54% in 2016. Prices have declined, and LEDs are widely available. Upcoming regulations will further increase efficiency requirements, with LEDs being the most efficient option available.

s available. With this information, the Evaluator came to the conclusion that LEDs continue to be in a growth phase, but are approaching maturity as the BNI sector increasingly adopts these products. BER Recommendations Overall, the Evalua...

AI summary The Evaluator concludes that the Business Energy Rebates (BER) program generated significant savings, with stable participation in BER Mail-in and increased sales and savings in BER Instant Rebates. Recommendations are provided to optimize the program.

2017-BER-R1. Continue to monitor the market evolution of LED lamps and adapt the BER offer when needed. The 2017 evaluation served to confirm solid market evolution. The high number of LEDs sold during the 2017 year, their declining retail...

AI summary The 2017 evaluation of the Business Energy Rebates (BER) program highlights the decreasing market barriers for LED lamps and the need to monitor market evolution. It also emphasizes the need to diversify the BER Mail-In portfolio, as lighting projects dominate savings, and the risk of declining savings due to increased adoption of LED technology.

Residential Efficient Appliance Retirement C C R Product Rebates Program Instant Savings C C R R Home Energy Assessment C C C C Existing Residential Green Heat C C C C C Program Efficient Product Installation C C C C New Residential Progra...

AI summary The text outlines various energy efficiency programs, including residential and business rebate initiatives, home energy assessments, and custom incentive programs. It highlights the focus on efficient product installation, strategic energy management, and direct installation services for small businesses.

ions The process evaluation specifically targets the Retrofit service of the Custom program component. Due to the start date of the latest Strategic Energy Management (SEM) cohort, SEM did not have any participants who achieved savings in...

AI summary The 2017 DSM Evaluation Report discusses the Efficient Product Rebates program, specifically the Business Energy Rebates (BER) component. It outlines BER's purpose, eligibility, and expansion to include pool equipment as a new measure category in 2017.

is applied universally to any eligible participant. In 2017, BER was expanded to include a new measure category, namely pool equipment. The measures currently offered are divided into 13 categories: › Agriculture › IT & Datacenters › Light...

AI summary The Business Energy Rebates (BER) program was expanded in 2017 to include pool equipment. The program offers rebates through mail-in or instant rebate services, with the latter aiming to increase participation and ease of access. Distributors play a key role in promoting and supporting the program.

Table 6: Implementation Status of Recommendations in the 2016 Executive Summary 2016 Recommendations Status 2016 BER-R1. Continue improving the BER Mail-in internal review procedure for savings Implemented calculations 2016 BER-R2. Impleme...

AI summary The 2016 BER recommendations have been fully implemented, including updates to the ENS CIRx Screening Tool, revisions to the methodology for calculating interactive effects, and the establishment of new procedures for baseline wattages in new construction projects and Instant Rebates.

Rx Screening Tool,3 as were the values used for heat pump full load hours. Additionally, new procedures for baseline wattages in new construction projects and in Instant Rebates have been established. Also, ENS has improved the BER Mail-in...

AI summary Efficiency Nova Scotia (ENS) has updated procedures for baseline wattages in new construction projects and Instant Rebates. Additionally, ENS improved the BER Mail-in internal review process and implemented a new M&V protocol to enhance accuracy in tracked savings. Market analyses on LED lighting were conducted as part of the 2017 DSM Evaluation Report.

rket analyses. These analyses focus on light-emitting diode (LED) lighting and are presented in a new section of this report entitled BER Market Evolution. 1.3 Participation History BER Mail-in In 2017, a total of 288 BER Mail-in projects...

AI summary The report discusses the participation history of the Business Energy Rebates (BER) Mail-in program from 2011 to 2017, highlighting a steady participation level between 2016 and 2017, a decrease from 2013 to 2015, and an increase in gross savings per participant in 2017 compared to 2016.

213 40 100 175 50 106 20 0 0 2011 2012 2013 2014 2015 2016 2017 Number of Participants Gross Savings per Participant (MWh) Figure 3 below illustrates the distribution of gross savings among the product types for BER Mail-in. With 62 percen...

AI summary Figure 3 shows the distribution of gross energy savings by product type for the BER Mail-in program, with lighting and HVAC products contributing the majority of savings. This trend has been consistent in previous years, with lighting accounting for significant portions of savings in 2015 and 2016.

2017 DSM Evaluation Report Figure 3: Distribution of BER Mail-in Gross Energy Savings by Product Type Laundry Solar Compressed Air Pumping Water Heating Kitchen Agriculture Motors and Drives Refrigeration HVAC Lighting 0 2 4 6 8 10 12 Gros...

AI summary The 2017 DSM Evaluation Report highlights energy savings from BER Instant Rebates, showing a 7% increase in rebated products sold compared to 2016, with 315,867 products sold in 2017. The report also includes a figure showing the distribution of energy savings by product type.

215,121 100,000 0 2011 2012 2013 2014 2015 2016 2017 Figure 5 below provides an overview of the distribution of gross savings in BER Instant Rebates among the different pumps and lighting products. In 2017, LED downlight lamps generated th...

AI summary Figure 5 shows the distribution of gross savings from BER Instant Rebates by product type in 2017, with LED downlight lamps contributing the largest share at 44%. Figure 6 highlights that BER generated 60.465 GWh in gross energy savings, with BER Instant Rebates accounting for 70% of the total.

oss energy savings at the generator, which is the highest result since inception. BER Mail-in accounted for 30 percent of the savings, while BER Instant Rebates accounted for the remaining 70 percent. The increase in overall savings is mos...

AI summary The Business Energy Rebates (BER) program achieved significant energy savings in 2017, with LED lamps and fixtures contributing greatly. BER Instant Rebates saw a 31% increase in savings since 2016, while peak demand savings rose by 4%. Lighting measures accounted for 61% of savings in BER Mail-in.

tion Report Figure 6: Summary of Gross Savings for BER 2011-20175 Gross Energy Savings (GWh) Gross Peak Demand Savings (MW) 10.756 42.119 32.103 37.287 18.120 5.902 6.432 4.775 19.209 4.545 3.734 17.808 2.708 10.513 26.522 3.550 3.014 2.86...

AI summary The document outlines the methodology for evaluating the Business Energy Rebates (BER) program in 2017, highlighting data collection activities used in the evaluation process. It includes a summary of gross energy and peak demand savings from 2011 to 2017, categorized under Mail-in Rebates and Instant Rebates.

distributors involved in BER Instant Rebates were interviewed. Distributors were asked about their satisfaction with the service and its influence on the market. Satisfaction with BER Instant Rebates Figure 9 presents an overview of distri...

AI summary The document discusses distributor satisfaction with the BER Instant Rebates program, showing an average score of 6.5 on a 10-point scale, consistent with 2016 results. Four distributors were positive, three expressed concerns, and one had a moderate opinion.

ibutors provided an overall positive opinion (ratings of 8 or higher), while three distributors expressed concerns (ratings of 5 or lower) and one distributor offered a moderate opinion (rating of 7). Dissatisfaction primarily stemmed from...

AI summary Most distributors provided positive feedback on the BER program, but some expressed concerns. Issues included rebates being directed to contractors rather than end users, high administrative costs, and the need for rebates to align with energy savings. Some distributors also noted that LED technology adoption has reduced the program's influence on consumer choices.

otalling 100%) Regulations and legislation; 10% Awareness-raising of Price reduction; 46% environmental issues among clients; 17% Appeal of the technology/Technology improvements; 27% Distributors were asked to rate the extent to which ENS...

AI summary Distributors rated ENS programs' influence on LED technology adoption factors, with high ratings for price reduction and environmental awareness, but lower for technology appeal. The regulations and legislation factor was excluded as it did not reflect ENS's market influence.

he factors contributing to the increase of LED technology adoption. 8 The regulations and legislation factor is not included here because it does not reflect the influence of ENS on the market. Business Energy Rebates 17 Efficient Product...

AI summary The 2017 BER Mail-in impact evaluation assesses the gross and net energy savings from the Business Energy Rebates program. ENS tracks gross savings using the CIRx Screening Tool and data from on-site visits, with 288 projects across 11 measure categories. Each measure, such as LED fixtures or HVAC sensors, is tracked individually.

647 Multi-family Tracked 2,208 213 Adjusted 2,280 228 The most common adjustment made to the HVAC category was revising the heating capacity value at - 15 °C to estimate peak demand savings. In the tracking sheet, three measures were ident...

AI summary Adjustments were made to HVAC measures, particularly heat pumps, to correct heating capacity values and improve accuracy in peak demand savings calculations. These changes included aligning with NEEP specifications and correcting unit conversion factors for better performance evaluation.

e baseline wattage values and the PCF. In a handful of cases, minor adjustments were made to the total lamp/fixture counts, but overall tracked quantities represented what the Evaluator found on-site. Overall, the accuracy of the tracked a...

AI summary The document discusses the accuracy of tracked annual hours of operation (HOUs) and baseline wattage values in lighting measures. It highlights improvements in accuracy over 2017, with fewer adjustments needed, and explains reasons for baseline wattage modifications, such as not accounting for ballast consumption or discrepancies with actual light sources.

uation report specifically addressed the issue of confusing exhaust and return fans and recommended that ENS further validate applications for these measures to reduce the number of large adjustments. The motor and drive category required...

AI summary The evaluation report highlights issues with exhaust and return fan applications, suggesting ENS validate them to reduce adjustments. Motor and drive revisions showed inconsistent energy savings, prompting recommendations for short-term metering. A compressed air project adjustment increased energy savings due to extended operating hours, impacting the PCF.

uantity of cows listed because the participant declared the maximum capacity of the barn and not the current average number of cows milked per day. This led to a 30 percent decrease in energy savings. The second adjustment was to the PCF u...

AI summary Adjustments were made to energy savings calculations for a barn project and commercial kitchen measures due to inaccuracies in data inputs. These adjustments significantly impacted overall category savings, with the barn project accounting for 98% of the category’s total savings. The Evaluator recommended providing specific tools for future accuracy.

d in Subsections 4.1.1 to 4.1.11. The table also presents the corresponding margin of error at a confidence level of 90 percent for measure categories for which adjustment ratios were extrapolated. Business Energy Rebates 24 Efficient Prod...

AI summary The text references a table presenting adjustment ratios for BER mail-in measure categories, along with their margin of error at a 90% confidence level, as part of the 2017 DSM Evaluation Report by Efficiency Nova Scotia.

- - Commercial Solar 1 1 1.000 - - 1.000 - - Water Heating 1 0 1.000 - - 1.000 - - Business Energy Rebates 25 Efficient Product Rebates Program Efficiency Nova Scotia 2017 DSM Evaluation Report Interactive Effects Whenever a measure instal...

AI summary The document discusses the evaluation of energy efficiency programs, focusing on interactive effects and effective useful life calculations. It mentions the use of the CIRx Screening Tool to account for interactive effects in BER Mail-in and the review of EUL values based on literature and TRMs for 2017 evaluations.

iewed based on the findings of a literature review. When establishing the EUL of a given measure, the Evaluator considered the most common values found in TRMs, evaluation reports or relevant studies. For BER, ENS tracked a single EUL valu...

AI summary The document discusses the Effective Useful Life (EUL) values for various energy efficiency measures, comparing the EUL values tracked by ENS with revised equivalent EUL values. The revised values are based on average EULs weighted by revised gross savings, but were not used in calculations.

14 14.0 Solar 15 20.0 Water heating 10 10.0 Business Energy Rebates 26 Efficient Product Rebates Program Efficiency Nova Scotia 2017 DSM Evaluation Report Overall, the revised equivalent EULs are similar to those tracked by ENS. The most i...

AI summary The report discusses revisions to the Equivalent Useful Life (EUL) of various energy efficiency products, including increases for compressed air, solar, and lighting products. These revisions impact the calculation of lifetime energy savings, with lighting products contributing significantly to overall savings. The weighted average EUL increased from 13 to 15.3 years.

rs while the revised EUL is 15.3 years, thus increasing lifetime savings for the service. Additional details on how EULs were established are provided in Appendix VIII. Revised Gross Savings The savings achieved by every BER Mail-in measur...

AI summary The document discusses revised energy and peak demand savings for the BER Mail-in program, incorporating adjustments to the effective useful life (EUL) and line loss factors. The total gross energy savings are reported at 18.346 GWh, with lifetime savings of 280.930 GWh based on a revised EUL of 15.3 years.

10: Revised Gross Energy and Peak Demand Savings for BER Mail-in Measure Category HVAC Lighting Refrigeration Motors and VFDs Compressed Air Agricultural Energy Savings Tracked Gross Energy Savings (GWh) 4.878 11.309 0.838 0.704 0.007 0.16...

AI summary The text presents revised gross energy and peak demand savings data for the Better Energy Rebates (BER) mail-in program, categorized by measure type. It includes metrics such as tracked energy savings, adjustment ratios, line loss factors, and effective useful life for various sectors including HVAC, lighting, and refrigeration.

6 1.066 1.066 1.066 1.066 Gross Peak Demand Savings – at the Generator (MW) 0.423 2.134 0.200 0.043 0.002 0.023 Business Energy Rebates 28 Efficient Product Rebates Program Efficiency Nova Scotia 2017 DSM Evaluation Report Revised Gross En...

AI summary The text presents data on Gross Peak Demand Savings at the generator level and references the Efficient Product Rebates Program and the 2017 DSM Evaluation Report by Efficiency Nova Scotia. It includes a table with energy savings metrics across different categories.

Kitchen Water Heating Pumping Laundry Solar Categories Energy Savings Tracked Gross Energy Savings (GWh) 0.143 0.038 0.019 0.005 0.013 18.121 Adjustment Ratio on Energy Savings 0.989 1.000 1.000 1.000 1.000 - Gross Energy Savings – at the...

AI summary The text presents a table with energy and peak demand savings data for various categories including Kitchen, Water Heating, Pumping, Laundry, and Solar. It includes metrics such as tracked gross energy savings, adjustment ratios, line loss factors, and effective useful life, providing a detailed overview of energy efficiency program performance.

irectly question participants about any potential spillover effects and found that the spillover level for 2017 was nil. NTGR Calculation The NTGR is calculated using the following equation: NTGR = (1 – % free-ridership + %spillover) Based...

AI summary The document calculates the Net-to-Gross Ratio (NTGR) using free-ridership and spillover levels for BER Mail-in, resulting in an NTGR of 0.86. Net savings from BER Mail-in are estimated at 15.778 GWh in energy and 2.462 MW in peak demand, leading to 10,305 tonnes of avoided CO2 emissions over a 15.3-year weighted average useful life.

tablished at 241.600 GWh. Detailed results are presented in Table 11. 13 At the time of writing, 2017 data was not available. The Nova Scotia-specific factor was obtained from Nova Scotia Power’s 2016 total system emissions data (7,079,268...

AI summary The text discusses the calculation of a Nova Scotia-specific factor using 2016 data from Nova Scotia Power and Emera Inc., including total system emissions and electricity generation. It references the Business Energy Rebates and the Efficient Product Rebates Program under Efficiency Nova Scotia's 2017 DSM Evaluation Report.

e 11: Revised Net Energy and Peak Demand Savings for BER Mail-in Category of Measure HVAC Lighting Refrigeration Motors and VFDs Compressed Air Agricultural Energy Savings Revised Gross Energy Savings – at the Meter (GWh) 4.804 10.487 0.83...

AI summary The document presents revised net energy and peak demand savings data for the Better Energy Rebates (BER) mail-in program across various categories of measures, including HVAC, Lighting, and others. It includes figures for gross energy savings, net energy savings, line loss factors, and net lifetime energy savings, as well as peak demand savings at both the meter and generator levels.

1.066 1.066 1.066 1.066 - Net Peak Demand Savings – at the Generator (MW) 0.020 0.009 0.004 0.001 0.000 2.462 Business Energy Rebates 34 Efficient Product Rebates Program Efficiency Nova Scotia 2017 DSM Evaluation Report Table 12 compares...

AI summary This table compares energy and peak demand savings from the BER Mail-in program as tracked by Efficiency Nova Scotia and as evaluated in the 2017 DSM Evaluation Report. The evaluation results show slightly lower adjusted gross savings and net savings compared to the tracked figures.

on Report 5 IMPACT EVALUATION FOR BER INSTANT REBATES The objective of the 2017 BER Instant Rebates impact evaluation is to determine gross and net electrical energy and peak demand savings. 5.1 Gross Savings Gross savings refer to changes...

AI summary This section evaluates the impact of the 2017 BER Instant Rebates, focusing on gross and net energy and peak demand savings. It discusses the methodology used to calculate savings, including baseline wattage, actual wattage, and factors like PCF and ISR, and notes that a full literature review was not conducted in 2017.

aluation Report Table 13: Recommended Values for Linear LED Fixtures Subcategory Lumen Output (lm) Baseline Wattage (W) Hours of Use 1,500 – 3,500 61.00 1 x 4 Luminaires 4,410 ≥ 3,500 83.25 1,500 – 4,500 61.00 2 x 2 Luminaires & Retrofit K...

AI summary The document presents a table with recommended values for linear LED fixtures, including lumen output, baseline wattage, and hours of use. It notes that efficient wattage is not included as actual wattage is used for all products in BER Instant Rebates.

ient wattage is not included in this table since the actual wattage of each product is used, which is the case for all products in BER Instant Rebates. Revised Savings Baseline and Efficient Wattage The Evaluator reviewed each category and...

AI summary The document discusses the evaluation of energy savings from linear LED lamps in the Efficient Product Rebates Program. It reviews baseline and efficient wattage, hours of use, and overall adjustment ratios for energy and peak demand savings.

20.5 20.5 LED15ET8 15, 18 18 LED12ET8 12, 15 15 Hours of Use In 2017 the value of 4,410 hours per year was adopted for all lighting products except outdoor fixtures and occupancy sensors. This value was correctly applied to over 95 percent...

AI summary The text discusses the correction of hours of use for LED lighting products in 2017, leading to an overall adjustment ratio for energy and peak demand savings. It also outlines the recommended baseline wattage for general-use and decorative LED lamps based on federal energy efficiency regulations.

from 40 W to 60 W. The baseline wattage values were correctly applied for all omnidirectional type lamps. 15 Natural Resources Canada. General Service Lamps and Modified Spectrum Incandescent Lamps http://www.nrcan.gc.ca/energy/regulations...

AI summary The document discusses the evaluation of efficient product rebate programs, specifically focusing on the accuracy of wattage and hours of use for various lamp types. It notes that no adjustments were needed for the most frequently purchased products, and only minor revisions were required for reflector LED lamps.

his product category. Table 17: Recommended Values for Reflector LED Lamps Subcategory Baseline Wattage (W) Hours of Use Small LED Reflector Lamp - PAR, MR, MRX 16 20 4,410 Small LED Reflector Lamp - PAR, R 20 50 4,410 Large LED Reflector...

AI summary The document discusses the correction of baseline and efficient wattage values for LED reflector lamps, which affected 97 data entries and 1,174 products. An overall adjustment ratio of 1.043 was applied for energy and peak demand savings due to these corrections.

s. Overall Adjustment These corrections resulted in an overall adjustment ratio of 0.998 for energy savings and 1.008 for peak demand savings. Outdoor LED Fixtures Recommended Savings The outdoor LED fixtures category contains the outdoor...

AI summary The text discusses an overall adjustment ratio for energy and peak demand savings, as well as the recommended wattages for outdoor LED fixtures. The baseline wattage for outdoor full-cutoff wall-mounted area luminaires is determined using a weighted average of metal halide and high-pressure sodium fixture wattages.

Baseline Wattage Annual Hours of Lumen Range of Efficient Luminaires Baseline Fixture (W) Use ≥ 250 and < 1,000 Halogen 37 4,380 MH ≥ 1,000 and < 5,000 95 4,380 (70 W) MH ≥ 5,000 and < 15,000 295 4,380 (250 W) MH ≥ 15,000 and < 30,000 590...

AI summary The document reviews the baseline wattage values and hours of use for outdoor LED fixtures, confirming that no errors were found in the tracked savings calculations. The evaluation concluded that no adjustments were necessary for energy and peak demand savings calculations in this category.

lations for this product category. Therefore, the adjustment ratios were 1.000 for both energy savings and peak demand savings. Directional and Architectural LED Fixtures Recommended Savings The directional and architectural LED fixtures c...

AI summary The document discusses energy savings and peak demand savings adjustments for directional and architectural LED fixtures, noting an overall adjustment ratio of 1.037 for energy savings and 1.000 for peak demand savings. It also mentions the use of occupancy sensors and the evaluation of baseline wattage and hours of use.

s revised to the appropriate value. Overall Adjustment The overall adjustment ratio was 1.037 for energy savings and 1.000 for peak demand savings. Occupancy Sensors Recommended Savings Occupancy sensors are tracked as five different categ...

AI summary The document discusses the recommended energy and peak demand savings for occupancy sensors, categorized into five types. The values are derived from the 2015 Efficiency Vermont TRM and the BER CIRx Screening Tool algorithm. The overall adjustment ratio for energy savings is 1.037, and for peak demand savings is 1.000.

2017 DSM Evaluation Report These unitary savings values are derived from the algorithm used in the BER CIRx Screening Tool. The equation is as follows: /1000 Where: › Pconn is the connected wattage controlled by the occupancy sensor (varie...

AI summary The 2017 DSM Evaluation Report discusses the calculation of energy savings for occupancy sensors using the BER CIRx Screening Tool. It notes a discrepancy between calculated and listed values, which was corrected in the revised savings calculations presented in Table 23.

Switch 278 24% 305 Exterior 118 41% 76 This change had a small impact on the overall savings and the adjustment ratios are 1.000 for both energy and peak demand savings. Business Energy Rebates 45 Efficient Product Rebates Program Efficien...

AI summary The text provides data on energy and peak demand savings for different types of pumps, categorized by input wattage. It mentions recommended and revised savings values, with adjustment ratios of 1.000 for both energy and peak demand savings.

≥ 150 and < 500 0.165 795 ≥ 500 and < 2,500 0.532 2,558 Revised Savings The Evaluator verified the input wattages of the two most popular pumps sold in BER Instant Rebates for 2017, which comprised 157 of the 199 pumps sold. Input wattages...

AI summary The Evaluator verified input wattages for pumps in the BER Instant Rebates program and confirmed no changes were needed. An In-Service Rate (ISR) of 85% was applied to lamps based on a study, while fixtures and other high-cost items retained a 100% ISR. This methodology was applied in 2017 and aligned with tracked values by ENS.

f which largely corresponded to values that had been tracked by ENS. 18 DNV-GL, Massachusetts Commercial and Industrial Upstream Lighting Program: “In Storage” Lamps Follow-up Study, March 2015. Business Energy Rebates 46 Efficient Product...

AI summary The document discusses the application of Power Conversion Factors (PCF) to the Efficient Product Rebates Program, including the use of a 64.6% PCF for indoor lighting products and 100% for outdoor and 24-hour products. It also addresses interactive effects in the context of BER Instant Rebates.

fects Whenever a measure installed as part of BER Instant Rebates is affected by interactive effects, this is taken into account by the gross savings unitary equation presented in the tracking sheet. Since 2016, a standardized approach bas...

AI summary The text discusses the use of a standardized approach, based on ASHRAE methodology, to calculate interactive effects for lighting projects since 2016. It mentions the use of a gross savings unitary equation in the tracking sheet for BER Instant Rebates.

tor believes that the characteristics of the participating facilities where they are installed might be too different from those where Instant Rebate products are installed to draw useful conclusions. Additionally, the Evaluator applied a...

AI summary The text discusses the evaluation of energy efficiency programs, specifically focusing on the application of factors to account for differences in facility characteristics and the use of Effective Useful Life (EUL) values in calculating energy savings for lighting and pump products.

Wall Switch Exterior Pumps Variable Speed ECM Circulatory Pump - - 15 15 15 Business Energy Rebates 49 Efficient Product Rebates Program Efficiency Nova Scotia 2017 DSM Evaluation Report The following provides additional details on the met...

AI summary The document discusses the methodology used by Efficiency Nova Scotia (ENS) to establish equivalent Effective Useful Life (EUL) values for LED lamps and other products in the Better Energy Rebates (BER) Instant Rebates program. EUL was set at 10 years for all LED lamps, with adjustments based on product specifications and Canadian regulations.

ype and reflector lamps, is impacted since its EUL is 11.3 years. For this category, the Evaluator established equivalent EULs for LED recessed fixtures and other LED downlight fixtures separately. 20 US EPA, Summary of the Energy Independ...

AI summary The text discusses the impact of Canadian regulations on the baseline for LED recessed fixtures, expecting a shift from halogen to CFL equivalent by 2024. It also explains how equivalent EUL calculations are used to determine lifetime energy savings based on 2017 BER Instant Rebates data.

in the near future. 22 As imposed by U.S. federal legislation. Incandescent Equivalent 2nd Tier EISA 2007. 23 As imposed by U.S. federal legislation. Incandescent Equivalent 2nd Tier EISA 2007. Business Energy Rebates 51 Efficient Product...

AI summary The document discusses the Efficient Product Rebates Program under Efficiency Nova Scotia, focusing on the use of EUL values for occupancy sensors and pumps. It confirms the use of 10 years for occupancy sensors and 15 years for pumps, aligning with industry standards and literature. The revised gross savings calculation includes unitary savings values, ISRs, and line loss factors.

also calculated using a line loss factor of 1.066 between the meter and the generator. This value corresponds to the weighted average line loss factor calculation applied to BER Mail-in participants. The total savings established for each...

AI summary The text discusses energy savings calculations for the BER Mail-in program, including line loss factors and lifetime energy savings based on effective useful life (EUL) values. It references studies and databases used to determine these figures, such as the Measure Life Report and DEER 2008 EUL Table.

Table 28: Revised Gross Energy and Peak Demand Savings for BER Instant Rebates General-use and LED Linear LED Linear LED Reflector LED Outdoor LED Product Category Decorative LED Downlight Fixtures Lamps Lamps Fixtures Lamps Fixtures Track...

AI summary Table 28 presents revised gross energy and peak demand savings for BER Instant Rebates, detailing energy savings across various product categories, including adjustment ratios, in-service rates, interactive effects factors, and line loss factors.

Revised Gross Energy and Peak Demand Savings for BER Instant Rebates (Continued) Directional & Architectural Occupancy Total for All Product Category Pumps LED Fixtures Sensors Products Tracking Sheet Number of Units 709 5,980 199 315,867...

AI summary This document provides a tracking sheet for the Revised Gross Energy and Peak Demand Savings for BER Instant Rebates, detailing energy savings across different product categories, including LED fixtures, occupancy sensors, and pumps. It includes metrics such as energy savings in GWh, adjustment ratios, in-service rates, and lifetime energy savings.

Net energy savings were first calculated separately for each product category because the NTGR differed from one product category to another. Table 31 below presents the details of these calculations. Overall, the total net energy and peak...

AI summary The text discusses the calculation of net energy and peak demand savings from the Efficient Product Rebates Program, resulting in 30.805 GWh of energy savings and 4.823 MW of peak demand savings. Using a 9.9-year effective useful life and a 2016 Nova Scotia-specific GHG factor, the net energy savings are estimated to have avoided 20,119 tonnes of CO2 eq.

1.066 1.066 1.066 - Net Peak Demand Savings – at the Generator (MW) 0.031 0.326 0.073 4.823 Business Energy Rebates 60 Efficient Product Rebates Program Efficiency Nova Scotia 2017 DSM Evaluation Report Table 32 below compares the savings...

AI summary This table compares the energy and peak demand savings tracked by Efficiency Nova Scotia (ENS) with the evaluated savings for the Business Energy Rebates (BER) Instant Rebates program in 2017. The evaluation results show lower adjusted gross savings and net savings than the tracked savings.

on of Overall Tracked and Evaluated Savings at the Generator for BER Initial Gross Savings Adjusted Gross Savings NTGR Net Savings Energy Savings ENS Tracked Savings 64.637 GWh 64.637 GWh 0.78 50.670 GWh Evaluation Results 64.637 GWh 60.46...

AI summary The text presents data on energy and peak demand savings from the Better Energy Rebates (BER) program, including initial and adjusted gross savings, net-to-gross ratios (NTGR), and net savings. The data is summarized in Table 34, which outlines participation levels and savings for BER Mail-in and Instant Rebates.

Table 34: Overall Participation and Savings for BER Participation Level Gross Savings NTGR Net Savings Mail-in Rebates Energy Savings 18.346 GWh 0.86 15.778 GWh Lifetime Energy Savings 288 projects 280.930 GWh 0.86 241.600 GWh Peak Demand...

AI summary Table 34 presents participation levels and savings from the Better Energy Rebates (BER) program, including energy and peak demand savings, net-to-gross ratios (NTGR), and lifetime savings across mail-in and instant rebate categories. The data highlights the effectiveness of the BER program in reducing energy consumption and demand.

100,000 50,000 0 2012 2013 2014 2015 2016 2017 LED Downlight Fixtures LED Linear Fixtures LED General-use/Decorative LED Linear Lamps LED Reflector Lamps Other LED Products 7.1.3 BER Participating Distributors BER Instant Rebates collabora...

AI summary The document discusses the participation of distributors in the BER Instant Rebates program, highlighting the number of participating distributors and their locations. It also outlines the availability of LED products and the evolution of LED prices in Nova Scotia from 2012 to 2017, noting that data before 2015 should be used with caution due to less detailed product descriptions.

aluator concludes that LEDs remain in a growth phase but are beginning to approach maturity as the BNI sector increasingly adopts LEDs, as indicated by the hatched area of the grey market share curve. Growth is expected to continue since m...

AI summary The evaluation of the Business Energy Rebates (BER) program in 2017 showed that it exceeded its energy and peak demand savings targets, achieving significant energy savings and reducing GHG emissions. The report also notes that LED lighting is in a growth phase and is becoming more widely adopted in the BNI sector.

y savings and 7.286 MW in net peak demand savings at the generator, representing 30,423 tonnes of CO2 eq in avoided GHG emissions annually. The total net lifetime energy savings amount to 547.135 GWh. The Instant Rebates service was the gr...

AI summary The document highlights the energy and peak demand savings achieved through the Instant Rebates and Mail-in services under the Business Energy Rebates (BER) program. Instant Rebates contributed significantly to savings, while Mail-in saw high participant satisfaction despite a slight decline in participation.

ecrease in the participation level of Mail-in was observed in 2017, the gross savings per participant were at the third highest level since 2011. Participants expressed high satisfaction with Mail-in. Since BER transitioned in 2015 toward...

AI summary The Business Energy Rebates (BER) program saw a decrease in Mail-in participation in 2017, but participants remained highly satisfied. LED products now dominate savings due to the program's focus on them since 2015. However, their impact on LED sales has diminished as market barriers decreased and prices dropped. The Evaluator recommends monitoring market indicators and diversifying Mail-in projects to include more non-lighting initiatives.

Efficiency Nova Scotia 2017 DSM Evaluation – Appendix Report Sections Recommendations Impact Evaluation 4. For one other project, refrigerated strip curtains were installed on a commercial walk-in – 4.1.3 cooler. ENS referenced the Pennsyl...

AI summary The 2017 DSM Evaluation – Appendix Report discusses the impact evaluation of energy efficiency measures, including refrigerated strip curtains and motor and VFD measures. The Evaluator recommends updating the CIRx Screening Tool and further reviewing applications for energy savings consistency.

Make forms more user-friendly) 7 (ENS staff should be more knowledgeable) 8 (No recommendation) 96 (Other – SPECIFY: ) 98 (Don’t know) 99 (Refused) B6. [ASK IF B5=1] What kind of information would improve the Business Energy Rebate Program...

AI summary The text outlines survey questions related to improving the Business Energy Rebate Program and gathering firmographic data for statistical purposes. It includes response options for user-friendliness of forms, staff knowledge, and organizational activity categories.

Definitely Would Have Paid”) Paid cost of project 72 5.6 69 6.7 70 6.0 Don’t know/Refused excluded from calculations FR3a_2. Were you aware that the lighting products rebated through the Business Energy Rebates Program are premium products...

AI summary The text discusses the Business Energy Rebates Program and includes survey data on awareness of premium lighting products certified by Design Light Consortium or ENERGY STAR. It also references a project number and an appendix report related to the 2017 DSM Evaluation.

know 2% - Base: Respondents who previously saw ENS energy-efficiency promotional materials S1. Using a scale from 1 to 10 where 1 is “not at all satisfied” and 10 is “completely satisfied” how would you rate your satisfaction with the Busi...

AI summary The text presents survey results from 2016 and 2017 regarding participant satisfaction with the Business Energy Rebates (BER) program. The mean satisfaction scores were 8.6 in 2016 and 9.0 in 2017. The survey also asks respondents to identify the most important reason for not being more satisfied with the program.

Report BER: MAIL-IN ON-SITE VISIT SAMPLING METHODOLOGY AND PROTOCOL Sampling Methodology A total of 82 on-site visits were conducted in 2017 to evaluate BER Mail-in. The 2017 BER sample included 82 total visits rolled out as an initial sam...

AI summary In 2017, 82 on-site visits were conducted to evaluate the BER Mail-in program, with sampling based on tracked savings from July and October 2017 tracking reports. HVAC and Lighting measures received the majority of visits due to their significant share of tracked savings.

R: INSTANT REBATES INTERVIEW GUIDE WITH DISTRIBUTORS Interview Date and Time Company name Name Area code and phone number Email Interview Length Introduction Thank you for taking the time to speak with me. Today, I am interested in your op...

AI summary This document is an interview guide for evaluating Efficiency Nova Scotia’s Business Energy Rebates program. It outlines the process for gathering feedback from distributors regarding their involvement in the program, focusing on the stocking and supplying of specific energy-efficient products.

ld the number of linear LED fixtures you sold have been lower in 2017 if the Business Energy Rebates Program incentive was not available? RECORD PERCENTAGE _% RECORD EXPLANATION: A4. I am interested in understanding the impact of the Busin...

AI summary The text explores the impact of the Business Energy Rebates Program on customer choices and product offerings, specifically regarding linear LED fixtures. It asks about the program's influence on product selection, the adequacy of rebate amounts, and product certification requirements.

he overall program S2. The program support and communications provided by ENS S3. The rebate processing, tracking and reporting S4. Finally, do you have any suggestions to improve the program? Record: No suggestion at this time Those are a...

AI summary The document discusses the evaluation of the Efficient Product Rebates Program, specifically focusing on the revised equivalent effective useful life (EUL) for lighting products in the BER-Mail-in service. The EUL is calculated by dividing the rated lifetime of lamps or fixtures by annual HOU and adjusting for baseline increases.

Efficiency Nova Scotia 2017 DSM Evaluation Report BER: ADJUSTMENT RATIO CALCULATION EXAMPLE This appendix presents a sample calculation to demonstrate the process of revising energy and peak demand savings. Lighting measures accounted for...

AI summary This section of the 2017 DSM Evaluation Report provides an example of how to calculate the adjustment ratio for energy and peak demand savings, focusing on lighting measures under the Business Energy Rebates program. It outlines the algorithms used for calculating annual energy and peak demand savings.

active Effects Factor (demand) 0.7 Industrial Bldg. with Electrical Heating Annual Energy Consumption (kWh) 12,303 Calculation Annual Peak Demand (kW) 0 Calculation Revised Savings Revised Energy Savings (kWh) 7,269 Calculation Revised Dem...

AI summary This document outlines the evaluation of the Custom Incentives Program under Efficiency Nova Scotia's 2017 Demand Side Management (DSM) initiative. It includes calculations for energy and demand savings, an adjustment ratio algorithm, and references to a final report dated March 15, 2018.

efficiency measure introduced by a program after participating in it once, without participating in the program a second time. The proportion of incentivized products that are installed and operating. This rate is usually applied to progra...

AI summary The text defines several key terms related to energy efficiency programs, including in-service rate, lifetime energy savings, line loss factor, margin of error, market effects, net energy savings, and net-to-gross ratio. These terms help quantify the effectiveness and impact of energy efficiency measures and programs.

ted in the final project savings. All the projects reviewed were included in the adjustment ratio calculation, which yielded a value of 0.995 for energy savings, with a margin of error of 1.2 percent. The peak demand savings required more...

AI summary The document discusses adjustments made to energy and peak demand savings calculations, highlighting issues with documentation and measurement procedures. An adjustment ratio of 0.995 was calculated for energy savings, while peak demand savings required more adjustments due to missing data and reliance on assumptions. Four projects lacked proper M&V documentation, affecting 19.4% of energy and 15.9% of peak demand savings.

represent 546 tonnes of CO2 eq of avoided greenhouse gas emissions annually. Based on an average EUL of 5.5 years, the net lifetime energy savings were established at 4.599 GWh. Custom Energy Savings Table 3 below compares the total tracke...

AI summary The document discusses energy savings from the Custom Incentives Program, including both tracked and evaluated savings from Retrofit, New Construction, and Building Optimization services. It highlights energy savings of 22.836 GWh and peak demand savings of 2.635 MW, with adjustments made based on evaluation results.

2017-Custom-R2. Continue conducting an in-depth review of energy models as part of the evaluation and improve ENS staff’s capacity to identify discrepancies in energy models. The more in-depth review of energy models conducted during the 2...

AI summary The 2017 evaluation found discrepancies in energy models across five projects, leading to significant downward adjustments in savings. Issues were particularly notable in heat pump system modeling and baseline calculations. The Evaluator recommends a systematic review of energy models and improved staff training. Additionally, Building Optimization projects varied widely in scope, and the Evaluator suggests establishing clear objectives to better align support with participants' needs.

based on a program component documentation review, interviews with the program manager and a review of four projects (including phone interviews with participants). EMIS Key Findings EMIS Performance EMIS aimed to achieve 4.0 GWh in net en...

AI summary The EMIS program aimed for 4.0 GWh in net energy savings and 0.1 MW in net peak demand savings in 2017 but achieved 1.402 GWh and 0.255 MW, respectively. The program also avoided 916 tonnes of CO2 eq annually. Four participants consistently reported savings from 2015 to 2017, while three additional projects were in various stages of implementation.

tainability plan, help to involve participating facilities’ maintenance staff in the process, and that ENS could provide more support and manpower during the installation process. EMIS Energy Savings In 2016, the Evaluator made a distincti...

AI summary The document discusses the evaluation of energy savings from four projects in 2017, emphasizing the distinction between cumulative and incremental savings. The Evaluator recommended tracking incremental savings, which reflect new or improved energy efficiency measures, rather than cumulative savings. This approach provides more accurate impact results for the program component.

in peak demand savings. For the two projects with incremental savings calculated by the service provider, the Evaluator found that the incremental baselines used by the service provider were adequate. Free-ridership and spillover effects w...

AI summary The document evaluates the energy savings from the Custom Incentives Program under EMIS. It confirms that the incremental baselines used by the service provider were adequate and assumes no free-ridership or spillover effects due to limited market penetration. The net savings were equal to the gross savings, as confirmed by participant interviews.

tor recommends that, from now on, the final tracking sheet be updated with the final values documented in the annual reports and that annual peak demand savings be tracked. 2017 EMIS-R2. Design baseline regressions and plan M&V activities...

AI summary The text discusses the need for accurate savings calculations in energy efficiency programs, highlighting an issue where a change in production time was not documented, affecting savings estimates. It recommends proactive tracking of variables and planning for M&V activities to ensure baseline accuracy.

used for calculating interactive effects in Retrofit lighting projects (Recommendation 2016 Custom-R3) was implemented in 2017 and will continue to be applied to all new lighting projects from now on. To implement Recommendation 2016 Custo...

AI summary ENS has implemented several recommendations related to energy efficiency programs, including updating the calculation method for Retrofit lighting projects, developing marketing materials for Building Optimization, and creating tools and guides to improve the estimation of peak demand savings in M&V plans.

and in previous years. Instead, the Evaluator made an effort to ensure that the selected projects represented a variety of measure categories and to sample a higher proportion of the largest projects. The project sample included projects f...

AI summary The Evaluator selected a diverse sample of 46 completed projects across various measure categories (excluding renewables) to ensure representation and accurate adjustment ratios. Gross savings are tracked by ENS for each project, and this section summarizes adjustments made to specific projects.

uation: ∑ ∑ Where Evaluated ES are evaluated energy savings and i represents each project included in the sample. This calculation yielded an average adjustment ratio of 1.057, which, despite being close to unity, has a large margin of err...

AI summary The evaluation found that the average adjustment ratio had a large margin of error and therefore was not applied. Instead, a weighted average of evaluated EUL values was used. The Evaluator recommends that ENS select EUL values specific to each project. A true-up adjustment ratio was calculated for projects completed in 2017 to ensure accuracy in savings calculations.

ented as planned. However, all five projects saw their savings adjusted because errors were found in the energy models or in the subsequent savings calculations performed with the model output values. The two projects where savings had the...

AI summary Five projects had their energy savings adjusted due to errors in energy models and subsequent calculations. The largest adjustments were made because the base case electricity consumption was miscalculated by not accounting for heating system efficiency. Adjustments were made by converting natural gas consumption to equivalent electricity consumption, but some conversions overestimated savings.

e heating load of some zones in the building was not met; this also had a downward impact on the evaluated savings. Those two projects’ energy savings were decreased by 38 and 43 percent respectively. The remaining three projects saw their...

AI summary The energy savings of several projects were reduced due to incorrect modelling of heating loads and heat pump systems. Two projects saw savings decrease by 38% and 43%, while three others had a 23% reduction due to improper COP values and system modelling in an ice skating rink project.

sted the COP for a temperature of 20°F instead. Other minor adjustments were made to items such as fan run times and well water temperatures, resulting in an overall downward adjustment of 23 percent. Another project was the retrofit of a...

AI summary The text discusses two energy efficiency projects with adjustments made to their performance metrics. In one, adjustments to fan run times and well water temperatures led to a 23% downward adjustment. In another, a retrofit of a lobster tank facility involved correcting flow rate calculations and using a more accurate COP value, resulting in a 29% downward adjustment.

Number of Projects 1 5 1 7 Energy Savings Tracked Gross Energy Savings – at Meter (GWh) 2.375 4.405 0.261 7.041 Adjustment Ratio for Energy Savings 1.000 0.758 0.571 - Gross Energy Savings – at Meter (GWh) 2.375 3.339 0.149 5.862 True-up A...

AI summary The text provides a detailed table of energy and demand savings metrics across multiple projects, including tracked energy savings, adjustment ratios, gross energy savings at different points, and peak demand savings. It includes metrics such as effective useful life and line loss factors, reflecting energy efficiency program performance.

to be 1.00, net savings are equal to the gross savings presented in Table 14. For 2017, New Construction generated 5.751 GWh in net energy savings and 2.520 MW in net demand savings at the generator. Overall, using the Nova Scotia-specific...

AI summary The text discusses energy savings from New Construction in 2017, calculating net energy and demand savings, and translating these into avoided CO2 emissions using a Nova Scotia-specific factor. It also mentions the Building Optimization Market Evaluation and participant feedback collected during on-site visits.

n the project engineering calculations used to establish their initial gross savings. No other adjustment was made to the gross savings of these four projects reviewed. Effective Useful Life As part of the 2017 evaluation, the Evaluator re...

AI summary The evaluation of the Custom Incentives Program under Efficiency Nova Scotia in 2017 reviewed the Effective Useful Life (EUL) values assigned to energy efficiency measures, particularly the HVAC category, which was assigned a 20-year EUL. This value was considered too high for the type of measures covered by Building Optimization projects.

ed and Total Savings Completed in 2017 Number of Projects 1 6 7 Energy Savings Tracked Gross Energy Savings – at the Meter (GWh) 0.176 0.722 0.898 Adjustment Ratio for Energy Savings 1.000 0.845 - Gross Energy Savings – at the Meter (GWh)...

AI summary The text presents data on energy and peak demand savings from completed projects in 2017, including gross energy savings at the meter and generator, adjustment ratios, and effective useful life. It references a study by Roberts and Tso on the longevity of retrocommissioning savings.

This year, ENS and the service provider did not adjust the cumulative baseline for Measure 3.1 and did not provide the Evaluator with compressor baseline data for the Custom Retrofit projects. Without such data, the Evaluator made a non-ro...

AI summary ENS and the service provider did not adjust the cumulative baseline for Measure 3.1 or provide compressor baseline data for Custom Retrofit projects. The Evaluator made a non-routine adjustment due to missing data, but this may have affected precision. Adjustments were not made for some Retrofit projects due to unspecified implementation periods and fluctuation in data.

valuator calculated the incremental savings by using the 2016 data as the baseline instead of the 2014 data used for cumulative savings. This adjustment resulted in an energy adjustment ratio of 0.89. The second adjustment made to incremen...

AI summary The valuator adjusted the baseline data used to calculate incremental energy savings, leading to a significant decrease in the energy adjustment ratio. The incorrect baseline for cumulative savings and changes in production levels on weekends in 2017 caused negative incremental savings for one project, while others showed a range of 23% to 58% of their cumulative savings.

ised compressor baseline changes made by the Evaluator. The incremental energy savings of the other three projects ranged from 23 percent to 58 percent of their cumulative energy savings respectively. Incremental peak demand savings were c...

AI summary The document discusses incremental energy and peak demand savings from various projects, highlighting the need for standardized tracking methods. Adjustments to baseline consumption data resulted in increased incremental savings, and the Evaluator recommends using 2017 data to track 2018 savings more accurately.

Savings Provider Support in Savings after Program Maintaining Savings Support Ends 1 9 9.5 10 2 9 9 10 3 8.5 8.5 8 or 9 4 9 7 10 The interviewed participants rated the likelihood of maintaining savings for each implemented measure after pr...

AI summary The text discusses the decay rate of energy savings post-program participation and calculates the Effective Useful Life (EUL) of savings. It outlines how savings persist over time, depending on the decay rate, and adds this to the EUL during participation to determine the total EUL.

vings after participation. For savings occurring in a third year of participation, the EUL would therefore be 2 years plus 1 to 4 years (depending on the decay rate), reaching a total of 3 to 6 years. Even though the decay rate is currentl...

AI summary The document discusses the calculation of Effective Useful Life (EUL) for energy savings from the EMIS program, applying different EULs based on participation duration and decay rates. It also outlines revised gross savings for 2017, including energy and peak demand savings at the generator, and the impact of line loss factors on these figures.

Cumulative Incremental Savings Savings Number of Projects 4 Energy Savings Tracked Gross Energy Savings – at the Meter (GWh) 5.776 1.675 Adjustment Ratio for Energy Savings 0.989 0.802 Gross Energy Savings – at the Meter (GWh) 5.712 1.343...

AI summary The text provides a summary of energy and peak demand savings from 4 projects, including tracked gross energy savings, adjustment ratios, and line loss factors, both cumulatively and incrementally. It includes metrics such as gross lifetime energy savings and equivalent effective useful life.

Table 26: 2017 Overall Participation and Savings for Custom Incentives26 Participation Level Gross Savings NTGR Net Savings Custom Energy Savings 22.421 GWh 0.94 21.005 GWh 58 projects Lifetime Energy Savings 333.236 GWh 0.94 313.977 GWh c...

AI summary The table provides an overview of the 2017 participation and savings for the Custom Incentives Program under Efficiency Nova Scotia's DSM Evaluation Report. It details energy and peak demand savings, along with the net-to-gross ratio (NTGR) and net savings for various program components.

service would result in providing the right level of support to each participant and maximizing the added value of ENS support, that is, involving specialized consultants in retrocommissioning only when detailed investigation of energy-sav...

AI summary The text discusses the need for better definition of objectives and eligibility criteria for Building Optimization projects to ensure proper allocation of resources and accurate basecase establishment. It also highlights the importance of documenting pre-implementation conditions to verify project outcomes.

w Findings observed on site but had not been identified in the project documentation provided by ENS. The Evaluator recommends that ENS implement a Project No. 6138 2 Custom Incentives Program Efficiency Nova Scotia 2017 DSM Evaluation – A...

AI summary The evaluation of the Custom Incentives Program identifies issues with documentation and data tracking in the DSMDS. It recommends implementing a change-tracking document and specifying effective useful life (EUL) values for each project. Adjustments are also needed in calculating electricity consumption for new construction projects.

nsider all aspects of the program: Participation process, program forms, marketing, interactions with ENS staff or contractors, etc. _ Project No. 6138 37 Custom Incentives Program Efficiency Nova Scotia 2017 DSM Evaluation – Appendix Repo...

AI summary The document outlines the evaluation process for the New Construction projects under the Custom Incentives Program, including the review of energy model documentation and on-site validation of energy-efficiency measures implemented in buildings.

As mentioned above, a site visit could not be conducted for one of the projects. Therefore, the baseline questionnaire could not be answered by the participating customer. Review of Simulation Models The Evaluator used a checklist review f...

AI summary The document discusses the evaluation process for the New Construction projects under the Custom Incentives Program, including the use of simulation models, the review of energy efficiency measures, and adjustments to energy savings based on discrepancies found during on-site visits.

avings value at the meter. No demand savings calculations were made for the project. ∆ / 3412 ŋ Tracked Savings Calculation ENS adopted the annual savings calculation provided by the Embedded Energy Manager for the tracked savings. Values...

AI summary The document discusses the calculation of tracked savings for a project under the Custom Incentives Program by Efficiency Nova Scotia. It mentions the use of annual savings calculations provided by the Embedded Energy Manager and the involvement of water treatment facility staff and an insulation contractor in providing relevant data.

vities and non-routine adjustments be planned as needed. In the case of the Custom Retrofit compressed-air projects implemented after the baseline period for instance, ENS and the service provider could have planned on the implementation o...

AI summary The text discusses the need to plan non-routine adjustments and track incremental savings in the Custom Incentives Program managed by Efficiency Nova Scotia. It highlights issues with how savings were tracked in the EMIS system, particularly for continuing participants in 2016.

was considered standard industry practice. Since ENS established all of its program component savings targets as incremental savings, the evaluated savings were modified to correspond to that definition. Energy savings that persist year ov...

AI summary The evaluation of ENS program savings found that incremental savings were considered standard practice, but savings dependent on ongoing support were not captured. A project involving a compressed air system replacement led to double-counting savings, requiring baseline adjustments and suggesting the need for systematic reviews to ensure accuracy.

es Canada) rating is a standard measure of the home's energy performance. It is a measure of the efficiency of the building only and does not take into account occupant EnerGuide rating behaviour. It shows how energy efficient the home is...

AI summary The text defines several key terms related to energy efficiency and environmental impact, including EnerGuide ratings, effective useful life, equipment life, and equivalent CO2. These metrics help assess building performance, energy savings over time, and the environmental impact of greenhouse gas emissions.

lement the energy Internal spillover efficiency measure introduced by a program after participating in it once, without participating in the program a second time. The proportion of incentivized products that are installed and operating. T...

AI summary The text defines various terms related to energy efficiency programs, including internal spillover, in-service rate, lifetime energy savings, line loss factor, margin of error, market effects, net energy savings, and net-to-gross ratio. These terms help measure the effectiveness and impact of energy efficiency initiatives.

Errors arising during the course of all survey activities other than sampling. Non-sampling error Non-sampling errors tend to lead to bias in measurements and are very difficult to quantify. Peak coincidence The percentage of measure deman...

AI summary The text discusses various statistical and measurement concepts related to energy efficiency programs, including non-sampling errors, peak coincidence factor, precision, random sampling error, sample size, secondary market impacts, tracked savings, and unitary savings. These metrics are used to evaluate the effectiveness of energy efficiency initiatives.

Table 1: SBES Overall Participation and Savings in 2017 Participation Level Gross Savings NTGR Net Savings Audit Path Energy Savings 1.519 GWh 0.93 1.415 GWh Lifetime Energy Savings 50 projects 20.178 GWh 0.93 18.796 GWh Peak Demand Saving...

AI summary The table presents data on the Small Business Energy Solutions (SBES) program's participation and energy savings in 2017, including gross and net savings by audit and DIY paths, and overall totals. The report is part of the 2017 DSM Evaluation Report by Efficiency Nova Scotia.

es must use less than 350,000 kWh annually. Businesses with annual electricity consumption higher than this limit are directed towards ENS’s Custom or Business Energy Rebates (BER) program components. All SBES participants must first compl...

AI summary The document outlines the eligibility criteria and participation process for the Small Business Energy Solutions (SBES) program, including the audit path and DIY path. Businesses must complete a business profile and may receive a free energy audit or choose to self-assess. Contractors and upgrades must be approved by ENS.

Institute test value. In another case, a measure’s low-temperature heating capacity and low-temperature efficiency was changed to match the values contained in the NEEP Cold Climate Heat Pump list.10 Of the three kitchen measures reviewed...

AI summary The document discusses adjustments made to energy savings calculations for kitchen measures, including the use of the Savings Calculator for ENERGY STAR Certified Commercial Kitchen Equipment and recalculations based on the CIRx Screening Tool. These adjustments led to increased energy and peak demand savings estimates.

tor recommends that in the future, ENS provide copies of the Savings Calculator for ENERGY STAR Certified Commercial Kitchen Equipment to ensure that all of the input model variables can be confirmed. Only one custom measure was included i...

AI summary The text discusses the need for Energy Nova Scotia (ENS) to provide copies of the Savings Calculator for ENERGY STAR Certified Commercial Kitchen Equipment to ensure accurate input model variables. It also highlights issues with a building envelope upgrade project for an arena, where assumptions in the energy model did not align with industry best practices, leading to the project's removal from 2017 tracked savings.

13 12.3 Motors and VFDs 15 15.0 Pumps 15 15.0 Refrigeration 10 15.0 Water heating 15 15.0 Overall, the revised equivalent EUL values are similar to those tracked by ENS. The most important increases in EUL were for kitchen (5 years) and re...

AI summary The text discusses revisions to Equivalent Useful Life (EUL) values for various energy efficiency measures, noting increases for kitchen and refrigeration products and decreases for custom and lighting measures. The decrease in lighting EUL is attributed to a drop in linear replacement lamps' EUL. The overall EUL for SBES remains unchanged at 12.8 years. Revised gross savings are calculated using line loss factors for audit and DIY paths.

path and 1.071 for the DIY path. These values are a weighted average of the line loss factors provided by NSP for each rate code, and the corresponding energy savings listed in the tracking report. Small Business Energy Solutions 20 Direct...

AI summary The text provides energy and peak demand savings data for the Small Business Energy Solutions (SBES) program under the Direct Installation Program by Efficiency Nova Scotia, based on audit and DIY paths, with calculations involving weighted averages and Effective Useful Life (EUL) values.

al Gross Peak Demand 0.119 0.136 0.004 0.000 0.003 0.002 0.002 0.000 0.000 0.000 0.266 Savings – at the Generator (MW) Small Business Energy Solutions 22 Direct Installation Program Efficiency Nova Scotia 2017 DSM Evaluation Report Table 9...

AI summary The text presents a table showing revised gross energy and peak demand savings for the Southwestern Nova Scotia Energy Services (SBES) DIY Path program. The table includes various energy-saving measures and their corresponding tracked energy savings and savings adjustment ratios.

0.013 0.000 0.005 0.002 0.031 7.772 Savings Adjustment Ratio 0.889 0.889 0.889 0.889 0.889 0.889 0.889 0.889 0.889 0.889 0.889 Total Gross Energy Savings - at 6.001 0.705 0.000 0.005 0.151 0.012 0.000 0.005 0.001 0.028 6.907 the Meter (GWh...

AI summary The text presents a series of numerical values related to energy savings, including gross energy savings at the meter and generator, line loss factors, effective useful life, and peak demand savings. These metrics are used to evaluate the performance and impact of energy efficiency programs.

et impacts were estimated by applying the NTGR listed above to the revised gross savings, and using the following equation: Net Savings = Revised Gross Savings × NTGR It should be noted that the NTGR was not applied to the revised gross sa...

AI summary The document calculates net energy and peak demand savings for the Small Business Energy Solutions Direct Installation Program, estimating annual CO2 eq savings and lifetime energy savings based on the Nova Scotia-specific GHG factor and effective useful life (EUL).

esulted in 5,151 tonnes of avoided CO2 eq annually. Based on the average EUL of 12.8 years for both DIY and Audit projects combined, the net lifetime energy savings were established at 100.854 GWh. 13 At the time of writing, 2017 data was...

AI summary The text discusses energy savings from the Small Business Energy Solutions (SBES) Audit Path program, highlighting 5,151 tonnes of avoided CO2 eq annually and 100.854 GWh of net lifetime energy savings based on an average EUL of 12.8 years. It references data sources for Nova Scotia Power’s emissions and electricity generation.

17 DSM Evaluation Report Table 14: SBES Overall Participation and Savings in 2017 Participation Level Gross Savings NTGR Net Savings Audit Path Energy Savings 1.519 GWh 0.93 1.415 GWh Lifetime Energy Savings 50 projects 20.178 GWh 0.93 18....

AI summary The document presents a summary of energy savings and participation levels from the Small Business Energy Solutions (SBES) program in 2017, including energy and peak demand savings for both the Audit and DIY paths, as well as overall totals.

ave quite some untapped potential for achieving future energy and peak demand savings through SBES and therefore suggests looking for new ways to encourage the implementation of non-lighting measures. The Evaluator also found that there wa...

AI summary The text discusses the potential for energy and peak demand savings through the Southwestern Nova Scotia Energy Services (SBES) program and highlights the need for improved tracking of savings, particularly from complex custom projects. It also mentions efforts by ENS to improve data collection and monitoring of program performance.

without participating in the program a second time. The proportion of incentivized products that are installed and operating. This rate is usually applied to programs through which rebates are offered in-store In-service rate and products...

AI summary The text defines several metrics used in energy efficiency programs, including in-service rate, lifetime energy savings, line loss factor, margin of error, market effects, net energy savings, and net-to-gross ratio. These metrics are essential for evaluating the effectiveness and impact of energy efficiency initiatives.

Refrigerators 0.057 0.008 Total 21.914 4.028 The savings attributable to C&S have resulted from increasing the mandatory minimum efficiency levels applicable to the targeted products and building codes in the market. Although similar produ...

AI summary The text discusses the savings generated by Codes and Standards (C&S) and Efficiency Nova Scotia (ENS) programs, highlighting that C&S savings result from increasing mandatory minimum efficiency levels, while ENS savings come from improving product efficiency above regulated standards. These savings are distinct and non-overlapping.

per EnerGuide point at 1,521 kWh/year. Using the overestimation ratio of 16 percent resulting from the billing analysis, the final savings value per EnerGuide point was established at 1,278 kWh/year. The literature review conducted by the...

AI summary The document calculates energy savings based on EnerGuide ratings and adjusts for overestimation. It also discusses heating sources in Nova Scotia, noting a high percentage of new homes use electricity for heating. A non-compliance rate of 58% was applied to savings due to regulation enforcement in 2014.

on-compliance rate of 58 percent, which was applied to the savings. 48 Corporate Research Associates Inc., 2011 ENS Socket Study, Final Report Prepared for Efficiency Nova Scotia, December 2011. Codes and Standards 21 Codes and Standards E...

AI summary The document discusses a study on the energy and operating cost savings associated with the proposed NECB – 2011 building code, using results from a Caneta Research Inc. study conducted in 2010. The study modeled changes in seven Canadian locations, with Montreal's results used as a proxy for Nova Scotia.

estimate peak demand savings for clothes washers. The Evaluator estimates that the introduction of the regulation generated 0.337 MW in peak savings in Nova Scotia in 2017, as summarized in Table 31. Table 31: Peak Demand Savings Associate...

AI summary The text discusses peak demand savings from the introduction of clothes washer standards in Nova Scotia in 2017, estimating total peak demand savings of 0.337 MW. It references Table 31, which provides detailed breakdowns of energy and peak demand savings by product class.

on and Verification process. Table 1 describes the documents referred to throughout this report, including the abbreviated titles that are sometimes used. Table 1. Document References for This Report Title Date of most Author Description A...

AI summary This report outlines the background, context, and objectives of a review of the incentive setting process at Energy Efficiency Nova Scotia (ENS). It includes an overview of the Incentive Setting Workbook and discusses ENS compliance with the CLEAResult report and the Implementation Plan.

017, covers these five measures:  Residential LEDs  Commercial LEDs  Residential mini-split heat pumps  Commercial mini-split heat pumps  Residential insulation ENS initially considered conducting conjoint analysis in addition to pric...

AI summary The document discusses ENS's progress on completing an electronic Technical Reference Manual (eTRM) and developing a Consolidated Calculator. The eTRM was completed in September 2017 and is being integrated into the Dynamic Demand Side Management System. The Consolidated Calculator is being developed to support the incentive setting process.

trength in its consistent and broader approach, they also suggested several fruitful areas for streamlining and improving the process. The need for such improvements is based on the following factors:  The program staff reported they need...

AI summary The program staff highlighted challenges with the new incentive setting process, including the time required to complete workbooks, lack of preparedness for research, unclear data requirements, and limitations in handling complex measure and incentive structures. Recommendations focus on improving data support.

over time. Conclusions and Recommendations Page 15 Practices and Procedures Evaluation Volume 1: Incentive Setting Recommendation 1-3: Providing market specialists to work with program staff to take on specific aspects of researching marke...

AI summary The document outlines recommendations for improving the incentive-setting process, including the use of market specialists, creating a repository of common information, and enhancing the Incentive Setting Manual with more detailed instructions and clarifications for tools like the Consolidated Calculator.

e Name’, ‘Program Offerings and Incentive’ and ‘Incentive Offering(s)’ are not merged. Inputs & Calcs  Multiple Programs: More than half (3 of 5) of users noted that the “Inputs & Calcs” tab, Tab does not work for multiple programs, and t...

AI summary Feedback on the 'Inputs & Calcs' tab indicates issues with handling multiple programs and unclear terminology. The 'Summary & Decision' tab has potential calculation errors and rounding issues. Suggestions include improving the tab's functionality and clarity for users.

them Findings Page 12 Practices and Procedures Evaluation Volume 2: Business Development about the latest program changes and participants share their ideas for upcoming energy saving projects. If a project is underway during these meeting...

AI summary The ENS program has successfully engaged participants in energy-saving projects, with most planning additional initiatives. Custom program staff aim to expand participation and focus on non-lighting projects. Technical specialists are being developed for niche markets, such as refrigeration and industrial applications, to better support participants.

stated that BDMs are increasingly including benefits other than energy savings—such as increased productivity, increased health and safety, decreased operating and maintenance costs, and improved aesthetics—in their discussions with potent...

AI summary The evaluation highlights the effectiveness of the Business Development (BD) team in collaborating with ENS staff and external actors, generating BNI project leads, and supporting energy efficiency projects from initiation to completion. It also outlines recommendations for improving internal collaboration, outreach, and the salesforce process.

S 29 25.1 During the Term of this Agreement, EfficiencyOne shall prepare and deliver to the UARB 30 and NSPI a quarterly report (the "Quarterly Report") in a form acceptable to the UARB. 31 25.2 EfficiencyOne shall prepare and deliver to t...

AI summary The document outlines reporting requirements for EfficiencyOne under an agreement with NSPI and the UARB, including quarterly and annual reports detailing EECA progress and financial statements. The agreement also emphasizes the need for regular communication and coordination between NSPI and EfficiencyOne.

ELECTRICITY EFFICIENCY AND CONSERVATION ACTIVITIES 4 Schedule A 5 Electricity Efficiency and Conservation Activities 6 7 The figure below identifies the scope of savings associated with carrying out EECAs 8 over the Term. 9 10 Incremental...

AI summary The document outlines the Electricity Efficiency and Conservation Activities (EECA) plan, including performance targets for energy savings and peak demand reduction. It specifies that EfficiencyOne must achieve 90% or more of the targets to be considered in substantial compliance, with a regulatory process triggered if this threshold is not met.

COMPENSATION 21 Schedule B (Page 1 of 2) 22 Compensation 23 I. Net Contract Price 24 25 The figure below identifies the net Contract Price to be paid by NSPI allocated for each 26 year of the Term. 2019 UARB Approved 34,050,000.00 $34,050,...

AI summary The document outlines the net contract price of $34,050,000.00 to be paid by NSPI for the 2019 term. It also specifies that any surplus realized by EfficiencyOne in meeting performance targets will be reported to the UARB and credited toward monthly payments for EECA in 2021.

1 1. INTRODUCTION 2 3 EfficiencyOne developed the 2019 DSM Resource Plan for the supply of electricity 4 efficiency and conservation activities to Nova Scotia Power Inc. (NS Power), in accordance 5 with the Electricity Plan Implementation...

AI summary EfficiencyOne developed the 2019 DSM Resource Plan for NS Power under the Electricity Plan Implementation (2015) Act and the Public Utilities Act. The 2019 Plan is an extension of the 2016-2018 DSM Resource Plan, with similar energy and demand targets and the inclusion of demand-focused pilots. The ENS Grant of Franchise was extended to December 2025.

1 Table I presents program investment budgets and targets for the planned 2019 portfolio. 2 Table 1 - 2019 DSM Resource Plan Savings aud Investment Incremental Incremental Annual Lifetime Net Annual Net Net Demand First Year Lifetime Inves...

AI summary The text presents program investment budgets and targets for the 2019 DSM Resource Plan, including details on energy savings, investment amounts, and unit costs for residential and business, nonprofit, and institutional programs.

0.278 0.020 Business, Nonprofit and Institutional Pmgmms Efficient Product Rebates 5.2 32.5 380.3 5.1 0.160 0.014 Custom Incentives 6.1 34.3 427.2 3.6 0.176 0.014 Direct hlstal!ation 4.1 9.3 118.4 1.5 0.443 0.035 l3NJ Total 15.4 76.1 925.8...

AI summary The text presents program data for Business, Nonprofit and Institutional Programs, including Efficient Product Rebates, Custom Incentives, and Direct Installation, along with Enabling Strategies such as Education & Outreach and Development & Research. The data includes metrics like participation numbers, costs, and other related figures.

20.2 0,268 '" 0.021 3 Currency 1s expressed m 2019 dollars. 4 Columns may not add correctly, due to rounding. 5 n Based on values of program Weighted Average Measure Lives, which have been derived from the 2017 Evaluation process. 6 1, Inc...

AI summary The 2019 program targets are based on the approved 2016-2018 Plan and recent evaluation results. The total budget and savings targets for 2019 are similar to the average annual targets from the previous plan, with a slight increase due to the allocation of $1 million to Enabling Strategies for research and pilots focused on demand reduction. The overall unit cost has increased to diversify the measure mix and reduce reliance on lighting savings.

savings portfolio, with less savings coming from lighting projects. 20 • 2016 Energy Savings from Lighting Upgrades. 2016 had the lowest unit cost 21 in recent years, at $0.224/kWh. One of the primary reasons for a lower unit cost 22 in th...

AI summary The 2016 Energy Savings from Lighting Upgrades program had a lower unit cost due to significant over-performance by the Instant Savings program, which achieved much higher energy savings than targeted. The savings were mainly from A-series LEDs, a trend not expected to continue in 2019 as ENS seeks to diversify its portfolio.

1 • 2015 Energy Savings from the Home Energy Report (HER) Program. A 2 similar situation as the one described above for Instant Savings also occurred in 3 2015, where the HER program achieved significant energy savings (27.2 4 GWh}, at a r...

AI summary The text discusses energy savings achieved through the Home Energy Report (HER) program in 2015, noting significant savings at a low cost. It also outlines the 2019 residential programs, which include Efficient Product Rebates, Existing Residential, and New Residential, reflecting changes from the 2016-2018 DSM Resource Plan.

1 • The “franchise holder is deemed to be a public utility in relation to its franchise 2 activities” (s. 79G(2)); 3 • The supply of electricity efficiency and conservation activities is administered 4 by the holder of the ENS franchise on...

AI summary The text discusses the legal framework surrounding the ENS franchise, including the franchise holder's status as a public utility, the contractual administration of electricity efficiency and conservation activities by EfficiencyOne with NS Power, and the role of the UARB in cost allocation. It also outlines the ENS franchise grant and its extension in 2015.

n initial agreement.6 In 2015 only, the legislation limited the dollar amount to be spent 25 on electricity efficiency and conservation activities to not more than $35 million, plus any 3 Public Utilities Act, supra note 1 at s 79Q(1). 4 I...

AI summary The text references legislation limiting the amount that can be spent on electricity efficiency and conservation activities to $35 million annually, with citations to the Public Utilities Act and the Electricity Plan Implementation (2015) Act. It also mentions the filing of the EfficiencyOne 2019 DSM Plan.

1 Following the UARB’s approval of this Consensus Agreement, NS Power initiated a 2 regulatory process (M07151) to determine the appropriate cost allocation and recovery 3 mechanisms for the 2016-2018 DSM Resource Plan. Changes to the Publ...

AI summary Following the UARB’s approval of a Consensus Agreement, NS Power initiated a regulatory process (M07151) to determine cost allocation and recovery mechanisms for the 2016-2018 DSM Resource Plan. Changes to the Public Utilities Act removed NS Power’s ability to collect a DSM Cost Recovery Rider and made ENS a fuel supplier. The Electricity Plan Implementation (2015) Act introduced a continuation approach for the 2019 DSM investment, setting a cap of $34,050,000 and extending the ENS Grant of Franchise.

1 3. 2019 DSM RESOURCE PLAN 2 3 3.1 Summary 4 5 The proposed 2019 DSM budget is based on the average annual budget in the UARB- 6 approved 2016-2018 DSM Plan, following the approach established in the Electricity Plan 7 Implementation (201...

AI summary The 2019 DSM Resource Plan proposes a budget based on the average from the 2016-2018 plan, with similar energy and demand savings targets. It emphasizes increased demand reduction through pilots by EfficiencyOne and NS Power, aimed at addressing firm demand growth in Nova Scotia. These initiatives are foundational for future demand reduction activities.

1 3.2 2019 Energy Savings and Investment 2 3 Table 3 summarizes the savings and investment levels for the 2019 DSM Resource Plan, 4 which can be found in Appendix A. Lifetime benefits, TRC test results, and PAC test results 5 are not provi...

AI summary Table 3 summarizes the savings and investment levels for the 2019 DSM Resource Plan, including details on residential DSM programs such as Efficient Product Rebates, Existing Residential, and New Residential, along with their respective investments, energy savings, and unit costs.

tial 2.2 5.3 157.5 1.6 0.410 0.014 Residential Total 14.2 51.2 712.6 10.0 0.278 0.020 Business, Nonprofit and Institutional Programs Efficient Product Rebates 5.2 32.5 380.3 5.1 0.160 0.014 Custom Incentives 6.1 34.3 427.2 3.6 0.176 0.014...

AI summary The text presents a table with data on energy efficiency programs, including participation numbers, costs, and savings. It includes categories like Efficient Product Rebates, Custom Incentives, and Direct Installation, with metrics such as weighted average measure lives and participation by low-income households.

Page 18 of 23 EFFICIENCYONE 2019 DSM PLAN FILING EVIDENCE 1 Scotia, the lifetime unit cost of achieved energy savings has been below 3 cents per kWh. 2 EfficiencyOne is confident that the programs proposed for 2019 are cost-effective. Beca...

AI summary EfficiencyOne outlines the 2019 DSM Plan, stating that the lifetime unit cost of energy savings remains below 3 cents per kWh and that the proposed programs are cost-effective. The 2019 targets for energy and demand savings are similar to those in the 2016-2018 plan. Appendix B provides supporting analysis and data.

December 2025.2 22 23 Among other things, the 2019 Plan is based on: 24 • ENS’s experience; 25 • ENS’s 2016-2018 suite of programs and services; 1 The legislation states: “(1) Notwithstanding clause 79I(2)(a) of the Public Utilities Act, f...

AI summary The text references the 2019 EfficiencyOne DSM Plan, which is based on ENS’s experience and its 2016-2018 programs. It also cites the Electricity Plan Implementation (2015) Act, which sets a cap on the amount Nova Scotia Power must spend on electricity efficiency and conservation activities in 2019.

1 The energy savings unit cost for the 2019 Plan is $0.268/kWh, compared to the average for 2 the approved 2016-2018 Plan of $0.252/kWh. There are a few notable reasons for the change 3 in unit cost in 2019 compared to earlier years: 4 • E...

AI summary The 2019 Plan's energy savings unit cost increased to $0.268/kWh compared to $0.252/kWh in the 2016-2018 Plan due to higher Enabling Strategies budget, increased investment in demand reduction pilots, and a shift in energy savings portfolio away from lighting projects. The 2016 Plan had a lower unit cost due to strong performance in the Instant Savings program.

in that year was the significant over-performance of the Instant Savings program 20 component. In 2016, Instant Savings had the second lowest unit cost of any 21 program component (after Strategic Energy Management) at $0.121/kWh (not 22 i...

AI summary The Instant Savings program significantly over-performed its energy savings targets in 2016, achieving 34.6 GWh of savings at a low unit cost. Similarly, the Home Energy Report (HER) program in 2015 achieved 27.2 GWh of savings, contributing to lower unit costs. These successes were largely due to the use of A-series LEDs, though this trend is expected to change as ENS diversifies its portfolio.

1 participation. This trend will continue in 2019, with two program components (Home Energy 2 Assessment and Green Heat) having energy saving targets that are higher than recent years. 3 In addition to building envelope and HVAC improvemen...

AI summary The document discusses energy efficiency programs in Nova Scotia, including the Home Energy Assessment and Green Heat initiatives, which aim to increase energy savings. It also highlights a First Nations pilot program supported by DSM funds, targeting energy efficiency upgrades in Band-owned homes. Partnerships with Natural Resources Canada-approved service organizations are emphasized for delivering these programs.

1 corresponding to actual installed conditions, based on information provided via the mail-in 2 process. 3 4 A variety of measures are supported in this program. The list of measures will continue to 5 evolve over time, and is expected to...

AI summary The document outlines various energy efficiency programs, including the Efficient Product Rebates and Custom Incentives programs. It details supported measures, such as lighting and HVAC systems, and mentions the evolution of the program over time. The 2019 energy savings target is close to the average annual target in the approved DSM Resource Plan. The Custom Incentives program includes components like Energy Management Information Systems and Strategic Energy Management.

1 and/or customer demand in periods within and outside of the NS Power system coincident 2 peak period. 3 4 In addition to the 2019 demand reduction pilots, which will explore options to reduce both 5 facility peak demand (where applicable...

AI summary ENS is planning demand reduction pilots focused on residential and BNI customers to explore demand-focused activities and best practices. These pilots aim to demonstrate benefits such as reduced capacity costs and access to time-of-use rates. Potential measures include incentives for thermal storage and hot-water systems, as well as new demand-focused measures in existing programs.

ibuted to a recent increase in incentive 10 levels further to participant, Evaluation, and Verification recommendations, in an effort to 11 encourage greater program participation. 12 13 3. BNI PROGRAM TARGETS AND INVESTMENTS 14 15 3.1 Eff...

AI summary The text discusses changes to the BNI Program, including reduced investment and energy savings targets for Efficient Products Rebates and Custom Incentives. It highlights efforts to diversify measures and reduce unit costs, while maintaining energy savings targets aligned with previous plans.

2016-2018 Annual Annual Energy Savings (GWh) Incremental Energy 30 Savings (GWh) 25 2019 Incremental 20 Energy Savings (GWh) 15 10 5 0 Efficient Products Existing Houses New Residential Efficient Products Custom Incentives Direct Installat...

AI summary The text presents energy savings data from 2016 to 2018, highlighting annual and incremental energy savings across various programs, including Efficient Products, Existing Houses, New Residential Efficient Products, and Custom Incentives Direct Installation (BNI) programs.

2019 Investment ($M) 4.00 2.00 0.00 Efficient Products Existing Houses New Residential Efficient Products Custom Incentives Direct Installation (RES) (BNI) Program 3 4 The similarity of program weighting, with respect to energy savings, de...

AI summary The 2019 DSM Plan is evaluated for its continued cost-effectiveness based on program weighting related to energy savings, demand savings, and investment. First-year unit costs are highlighted as a key performance metric for ENS to track program performance.

Program 3 4 Table 9 provides the relative changes in first-year unit costs by program, as compared to 5 approved 2016-18 DSM Resource Plan averages. 6 7 Table 9 - Relative Change in First-Year Unit Costs from Approved 2016-2018 DSM 8 Resou...

AI summary Table 9 compares the relative changes in first-year unit costs for various programs between the approved 2016-18 DSM Resource Plan and the 2019 DSM Resource Plan, showing varying increases and decreases across different categories.

2018 Page 16 of 17 EFFICIENCYONE 2019 DSM PLAN FILING Appendix B 1 8. CONCLUSION 2 3 ENS’s 2019 DSM activities are based on a continuation of the approved 2016-2018 DSM 4 Resource Plan. The budget for 2019 is identical to the average annua...

AI summary The 2019 DSM Resource Plan by ENS is a continuation of the 2016-2018 plan, with a budget identical to the average annual budget of that period. The 2019 plan uses a combination of extending previous plans, updating cost-effectiveness insights, and adapting based on EfficiencyOne's experience, rather than conducting new resource modelling.

Page 2 of 23 EFFICIENCYONE 2019 DSM PLAN FILING Appendix C 1 Figure 2: Average Rate Impact (2019-2032) as a Result of DSM Activities in 2019 Average Rate Impact (2019-2032) as a Result of DSM Activities in 2019 0.6% 0.5% 0.4% 0.3% 0.2% 0.1...

AI summary The 2019 DSM Plan filing discusses the average rate impact of demand-side management activities from 2019 to 2032, noting a 0.6% average rate impact. It also highlights non-rate benefits, such as the reduction of 850,000 tonnes of CO2e emissions, reduced energy poverty, and increased productivity.

1 Impacts of DSM on the Medium Industrial Rate Class 2019 2020 2021 2022 2023 2024 2025 2026 2027 2028 2029 2030 2031 2032 2033 2034 2035 2036 2037 2038 2039 2040 Units 2 Incremental DSM Savings 7.5 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0...

AI summary The table shows the impact of Demand Side Management (DSM) on the Medium Industrial Rate Class from 2019 to 2040. It indicates that incremental DSM savings dropped to zero after 2019, with cumulative savings remaining at 7.5 GWh. DSM costs for the rate class were $1,587,288 in 2019 but zero afterward. The number of new participants remained constant at 337 across all years.

Annual Average Savings per Participant (Current Year) 179,637 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 kWh 9 Cumulative Cost per kWh Saved 23.829 23.829 23.829 23.829 23.829 23.829 23.829 23.829 23.829 23.829 23.829 0.000 0.000 0.000 0....

AI summary The text presents data on annual average savings per participant and cumulative cost per kWh saved, highlighting energy efficiency program metrics. It also includes a chart on cumulative large industrial participation rates by program, indicating participation percentages among large industrial customers.

1 Impacts of DSM on the Municipal Utility Rate Class 2019 2020 2021 2022 2023 2024 2025 2026 2027 2028 2029 2030 2031 2032 2033 2034 2035 2036 2037 2038 2039 2040 Units 2 Incremental DSM Savings 3.5 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0...

AI summary The document presents the impact of Demand Side Management (DSM) on the municipal utility rate class from 2019 to 2040. It shows incremental and cumulative DSM savings in gigawatt-hours (GWh) and DSM costs for the rate class. The data indicates that after 2021, there are no incremental savings, and DSM costs are only listed for 2019.

Energy Savings Customers receiving the Home Energy Report were modeled as new participants in 2013. The same cross-participation Actions (Home Energy rates used for Residential Instant Savings are used for the Home Energy Report, based on...

AI summary The document discusses energy savings actions related to the Home Energy Report program, including participation rates and its discontinuation. It also outlines energy and demand rates, sales forecasts, and avoided costs based on NS Power's 2014 IRP assumptions.

scenario change by the same percentage, and so the balance is allocated to both a $/kWh energy component and a $/kW demand component for the DSM scenario. DATE FILED: April 6, 2018 Page 5 of 6 EFFICIENCYONE 2019 DSM PLAN FILING Appendix C...

AI summary The document outlines assumptions for calculating bill impacts in the DSM scenario, including the allocation of savings between participants and non-participants, and the division of savings among all customers in a rate class for equitable distribution.

∑ col A to I 4 Preliminary Program Expenditures by Participating Rate Classes

AI summary The text presents a table titled 'Preliminary Program Expenditures by Participating Rate Classes,' which outlines program expenditures categorized by rate classes. The content focuses on financial data related to energy efficiency programs and their distribution across different customer segments.

Attribution Unnamed: 0 Unnamed: 1 Unnamed: 2 Unnamed: 3 Unnamed: 4 Unnamed: 5 Unnamed: 6 Unnamed: 7 Unnamed: 8 Unnamed: 9 Unnamed: 10 Unnamed: 11 Unnamed: 12 Unnamed: 13 Unnamed: 14 Unnamed: 15 Unnamed: 16 Unnamed: 17 Unnamed: 18 Unnamed:...

AI summary The document presents a table with various categories related to energy efficiency programs, including residential and small business initiatives, as well as programs under the BNI (Efficient Products). The table includes columns such as 'Energy Savings Actions' and 'Custom' but lacks specific data or context.

aluator also recommends improvement to the Efficiency Nova Scotia tracking process by clearly identifying appliances retired through the HRSB pilot. The logic of these recommendations is self-evident. Although reduced in comparison with th...

AI summary The evaluator recommends improving Efficiency Nova Scotia's tracking process by clearly identifying retired appliances through the HRSB pilot. The 2017 evaluation of Instant Savings shows slightly reduced sales and energy savings due to a price floor for LEDs, which caused some retailer frustration. The evaluation is considered strong and continues an improved measurement approach.

xpressed frustration with the introduction of a product price floor in 2017.” The evaluation related the introduction of the price floor, but did not explain its goal or whether the goal was achieved. The evaluation is based on document re...

AI summary The evaluation of the product price floor introduced in 2017 discusses its impact on energy savings, focusing on LED lamps, fixtures, and new IAQ products. It uses document reviews, interviews, surveys, and engineering calculations. The evaluation follows the Universal Methods Project Residential Lighting Evaluation Protocol and is described as comprehensive and independent.

th other program components, customer say they want to rely on the expertise of Efficiency Nova Scotia. 29 P a g e Verification Review of Program Year 2017 Evaluation Results SVR-5: In future evaluations, the evaluator should report on the...

AI summary The document discusses the Verification Review of Program Year 2017 Evaluation Results, emphasizing the need for improved inspection and verification processes for Green Heat installations. It also covers the Residential Efficient Product Installation program, including methodology used for evaluation, such as participant surveys, on-site visits, and metering studies to assess energy savings.

the accuracy of the energy and peak demand savings calculations for residential lighting measures for Nova Scotia. Investigation and estimation of spillover and interactive effects are also included. Econoler conducted a careful study of p...

AI summary This text discusses the evaluation of energy and peak demand savings from residential lighting measures in Nova Scotia, including challenges with smart power controllers, interactive effects of LEDs, and detailed analysis of product effectiveness and free-ridership. It emphasizes the complexity of measurement and evaluation processes involved.

d with market evolution for this program component, Econoler concludes that “…LEDs continue to be in a growth phase, but are approaching maturity as the BNI sector increasingly adopts these products.” Econoler recommends continued tracking...

AI summary Econoler evaluates the BNI Efficient Products Rebates program, noting LEDs are nearing maturity and recommending tracking market indicators, improving data collection for rebate participants, and addressing specific technologies. The BNI Custom Retrofit program offers technical and financial support for business, non-profit, and institutional customers.

For new construction, only 6 projects were completed during 2017. Econoler conducted a detailed technical review for 5 of these. Work included correction of simulation models used by the consultants. For building optimization, only 6 proje...

AI summary In 2017, only six new construction projects and six building optimization projects were completed under the BNI Custom program. Econoler conducted technical reviews and found significant errors in energy savings modeling, reducing net energy savings by 8% and net peak demand reduction by 38%. Recommendations for the next DSM cycle include continuing Efficiency Nova Scotia's efforts.

ticipation in new construction, development of a change tracking mechanism for retrofits, specifying and tracking retrofit effective useful life in the Custom tracking report, and addition of adjustment assumptions to modify model outputs...

AI summary The text discusses recommendations for improving participation in new construction and retrofit projects, including a change tracking mechanism and adjustments to model outputs. It also evaluates the BNI Custom program and the EMIS sub-program, highlighting the role of EMIS in providing real-time energy data and the findings from the 2017 evaluation.

ding participant phone interviews). This included review of updated annual reports and savings calculation workbooks as well as baseline reviews. Free- ridership and spillover were assumed to be zero. Econoler recommends that Efficiency No...

AI summary Econoler recommends that Efficiency Nova Scotia improve tracking and documentation of energy savings, including the use of baseline regressions and M&V, and ensure that incremental savings are tracked rather than cumulative savings. These measures are deemed necessary to ensure accurate savings calculations and better capture energy savings.

street-lighting • New building energy code for houses and small building • New building energy code for large buildings, condos and apartments. • Clothes washers – Tier 1 • Refrigerators. For 2017, the evaluation approach was secondary dat...

AI summary The document outlines the evaluation of Efficiency Nova Scotia's 2017 program results, emphasizing the use of secondary data analysis, interviews, and market size assessments. It highlights the evaluation's alignment with industry standards and its focus on energy savings, climate mitigation, and market transformation.

and 2017 Evaluation Reports (NSUARB M08604) NSPI Responses to SBA Information Requests NON-CONFIDENTIAL 1 Request IR-1: 2 3 Regarding the energy and demand savings target for 2019, 4 5 (a) Does NSP agree with the overall targets of energy...

AI summary NSPI agrees with the 2019 DSM Plan's energy and demand savings targets (127.2 GWh and 20.2 MW) but notes that unmet targets could increase short-term costs for customers due to fixed cost recovery shifts. Long-term, reduced usage may lower overall costs if broadly adopted, though future demand savings would be needed to avoid peaking generators.

$302,307 23 Small Industrial 104,113 1.8% $50,124 271,056 2.7% $137,859 2.4% $187,983 24 Medium Industrial 188,434 3.2% $90,720 502,045 5.0% $255,340 4.3% $346,060 25 Large Industrial 292,614 4.9% $140,877 709,512 7.0% $360,858 6.3% $501,7...

AI summary A table presenting industrial and municipal energy cost data with percentages and totals, sourced from EfficiencyOne's 2017 DSM Annual Progress Report. The data includes classifications like Small/Medium/Large Industrial and Municipal, with associated costs and percentages, and references to DSM program metrics.

$0 $0 $0 $0 $0 $0 $0 $0 $0 $0 $0 16 17 18 Total $4,208,101 $7,114,151 $1,374,960 $6,784,184 $4,176,305 $3,730,553 $1,598,572 $245,219 $904,431 $30,136,478 $22,602,358 19 20 22 Total Spending per Audite $4,234,023 $7,157,975 $1,383,430 $6,8...

AI summary The text presents a table of financial figures related to spending and interest earned on DSM funding, including amortization on capital assets and actual spending totals. The data spans multiple years, with total spending amounts and interest figures listed for each year. The table is part of a 2019 DSM Application and is labeled as confidential.

and 2017 Evaluation Reports (NSUARB M08604) NSPI Responses to SBA Information Requests NON-CONFIDENTIAL 1 Request IR-4: 2 3 Please provide annual electricity consumption of each NSP rate classes by end use 4 categories for 2017. 5 6 Respon...

AI summary NSPI provided a response to an SBA information request regarding annual electricity consumption by NSP rate classes in 2017. The response explains that end use consumption is estimated using data from Natural Resources Canada, internal surveys, and EIA data, and that these estimates are used in the 2018 10 Year Load Forecast. DSM programs are considered in overall sales but not in specific end use impacts.

0.48 3 4 5 c) Please refer to part b) above, and Table 2 below. 6 7 Table 2: Planned 2018 and 2019 Performance Metrics for Programs Offered to Small 8 Business Customers Planned Planned Planned First- Peak Planned First- Year Year Program...

AI summary The text references a table outlining planned performance metrics for energy programs targeting small business customers in 2018 and 2019, including energy savings, peak demand reductions, expenditures, and cost per unit. The document is part of a regulatory proceeding related to the 2019 Demand Side Management (DSM) Resource Plan.

<100 $60 • CSA / cUL rated Double Heat Pad <200 $120 Enjoy the good things efficiency brings. ENS-01159-V1 Date Filed: May 30, 2018 SBA IR-15 Attachment 1, Page 2 of 23 Dual & Natural Ventilation Facility Operation Time Criteria Rebate • B...

AI summary The document outlines rebate criteria for ventilation systems in agricultural facilities. It specifies eligibility for dual and natural ventilation systems based on facility operation time and type, with different rebate rates for year-round and winter-only use.

Criteria Rebate Dairy Scroll Compressor • Must replace reciprocating compressor $50 / hp Heat Reclaimer Unit • Must electrically heat water $1,250 / unit (HRU) • Cannot be replacing existing HRU • Cannot be replacing existing milk 10-49 Pl...

AI summary The document outlines rebate criteria for specific equipment upgrades in dairy operations, including compressors, heat reclaimers, and vacuum pumps. Eligibility conditions and rebate amounts are specified for each item, with some restrictions such as not replacing existing units. The document is part of a regulatory proceeding and includes a reference to ENS-01159-V1.

air-source heat pump or in a new 3.5 2.25 11.4 construction $600 / ton Ground & Water Source Heat Pumps Size (Nominal Capacity) Min EER Min COP Requirements Rebate • Heat pump must be utilized during heating 16.2 3.6 season $500 / ton Open...

AI summary The text outlines rebate programs for heat pumps, specifying eligibility criteria, minimum efficiency standards, and rebate amounts based on the type and capacity of the heat pump. It also references testing standards and provides contact information for inquiries.

by-project • New construction projects not eligible basis. • Pre-approval mandatory ENERGY STAR® Uninterruptible Power Supplies (UPS) Product Criteria Rebate Voltage and Frequency • Must be ENERGY STAR certified ® Determined Independent (V...

AI summary The document outlines rebate criteria for energy-efficient commercial kitchen equipment and uninterruptible power supplies, emphasizing pre-approval requirements and eligibility based on construction type and certification standards like ENERGY STAR.

Product Requirements Rebate • ENERGY STAR rated ® Standard Capacity Electric Fryer $500 • MUST be replacing an electric fryer or a new installation • ENERGY STAR® rated Standard Capacity Gas Fryer $2,000 • MUST be replacing an electric fry...

AI summary The text outlines rebate amounts and product requirements for various kitchen appliances, including electric and gas fryers and griddles, emphasizing ENERGY STAR® certification and replacement criteria.

15 $12 / ft3 • Replaces existing glass door freezer Ice Makers Harvest Rate Product Product Requirements Rebate (lb / day) 200-500 $80 500-750 $145 Ice Making Head 750-1000 $200 • ENERGY STAR® rated > 1000 $250 • Must be replacing non-ENER...

AI summary The text outlines rebate amounts for various ice maker models based on their harvest rates, with specific eligibility criteria such as ENERGY STAR® ratings and replacement of non-ENERGY STAR® ice makers.

ALL $50 Harvest Rate can be found on a product specification sheet or the ENERGY STAR® Ice maker Qualified Product List. Kitchen Exhaust Demand Controlled Ventilation (DCV) Product Product Requirements Rebate • Controlled by temperature a...

AI summary The text outlines rebate programs for energy-efficient commercial laundry products, including requirements and rebate amounts for commercial washing machines and kitchen exhaust systems. Efficiency Nova Scotia is mentioned as a contact for assistance with product specifications.

apartments are not eligible for rebates) Commercial Clothes Dryers Measure Criteria Rebate • Unit must replace an existing electric clothes dryer of similar Natural Gas Conversion of capacity Electric Commercial $400 • Used for a commercia...

AI summary The document outlines rebate criteria for commercial clothes dryers and lighting products. It specifies eligibility requirements, including ENERGY STAR® certification and minimum energy efficiency standards. Rebates are available for natural gas conversions and heat pump dryers, but not for units in individual apartments or new construction.

$25 2x4 Troffer $30 Enjoy the good things efficiency brings. 3 10,000 lm $50 • Includes both horizontal refrigerated case luminaires and vertical refrigerated Refrigerated Case Luminaire Mail-in case luminaires installed in All $6 / ft ref...

AI summary The document outlines rebate criteria for specific lighting products, including linear ambient luminaires and refrigerated case luminaires, with varying rebate amounts based on lumens and installation method.

SBA IR-15 Attachment 1, Page 16 of 23 Product Availability Criteria Rebate • Minimum three year warranty • Minimum 60 lumens per watt • Undergone IES testing (LM-79 and LM-80 or equivalent) Case Lighting for Sign Mail-in $2.50 / ft Retrofi...

AI summary The document outlines rebate criteria for lighting products, including case lighting for sign retrofit applications and lighting controls such as occupancy sensors. Specific eligibility requirements, such as lumens per watt, warranty duration, and system compatibility, are detailed for each product category.

know or do not have an opinion on the matter. (Table 20) Date Filed: May 30, 2018 SBA IR-16 Attachment 1, Page 23 of 81 Of note, Participant organizations with two or more locations, along with those that reported significant reductions in...

AI summary The text discusses the impact of Efficiency Nova Scotia business programs on energy use and electricity bills. It notes that organizations with significant energy use reductions are more likely to report significant bill reductions, and that 60% of participants report some reduction in their Nova Scotia Power electricity bill.

VOLUNTEERED 8 Don’t know/No answer Date Filed: May 30, 2018 SBA IR-16 Attachment 1, Page 40 of 81 19. [POSE Q.19 ONLY IF CODE 1 OR CODE 2 IN Q.18] And would you say that the reductions in energy use achieved as a result of these efficiency...

AI summary The text presents a series of questions related to energy efficiency programs, focusing on the outcomes of efficiency upgrades, monitoring of energy consumption, and changes in electricity bills. It includes options for responses and volunteer answers, indicating a survey or evaluation process.

2017 SBES Study - Non-Participants TABLE 34: To the best of your knowledge, approximately what percentage of your company´s operating budget for Nova Scotia locations is spent on energy costs?

AI summary The text asks for an estimate of the percentage of a company's operating budget in Nova Scotia locations that is spent on energy costs, as part of a 2017 SBES study focusing on non-participants.

NUMBER OF NUMBER OF FUTURE PCT OF BUDGET REGION NSPI RATE CODE ENERGY USE RECOMMEND ENSC OPINION OF ENSC LOCATION STATUS FTEs LOCATIONS PARTICIPATION SPENT ON ENERGY OVERALL Halifax Rest of Sig LT sig LT LT Comp LT comp 5% or 6% or 10 11 2...

AI summary The text presents a table with data on energy use, participation, and budget allocation across different regions and locations. It includes metrics such as the number of FTEs, locations, and percentages of budget spent on energy, as well as opinions and recommendations related to energy and sustainability compliance.

NUMBER OF NUMBER OF FUTURE PCT OF BUDGET REGION NSPI RATE CODE ENERGY USE RECOMMEND ENSC OPINION OF ENSC LOCATION STATUS FTEs LOCATIONS PARTICIPATION SPENT ON ENERGY OVERALL Halifax Rest of Sig LT sig LT LT Comp LT comp 5% or 6% or 10 11 2...

AI summary The document presents data on energy use, locations, and participation in energy efficiency programs across different regions in Nova Scotia. It includes metrics such as the number of locations, FTEs, and percentages of budgets spent on energy.

NUMBER OF NUMBER OF FUTURE PCT OF BUDGET REGION NSPI RATE CODE ENERGY USE RECOMMEND ENSC OPINION OF ENSC LOCATION STATUS FTEs LOCATIONS PARTICIPATION SPENT ON ENERGY OVERALL Halifax Rest of Sig LT sig LT LT Comp LT comp 5% or 6% or 10 11 2...

AI summary The document presents data on energy use and participation in energy efficiency programs across different regions in Nova Scotia. It highlights the number of employees, locations, and responses to energy-saving initiatives, as well as the percentage of budgets spent on energy. The data reflects varying levels of participation and opinions on energy efficiency programs.

NUMBER OF NUMBER OF FUTURE PCT OF BUDGET REGION NSPI RATE CODE ENERGY USE RECOMMEND ENSC OPINION OF ENSC LOCATION STATUS FTEs LOCATIONS PARTICIPATION SPENT ON ENERGY OVERALL Halifax Rest of Sig LT sig LT LT Comp LT comp 5% or 6% or 10 11 2...

AI summary The text presents data related to energy use, participation in energy efficiency programs, and budget allocation for energy initiatives in different regions of Nova Scotia. It includes metrics such as the number of locations, FTEs, and percentages of budgets spent on energy.

NUMBER OF NUMBER OF FUTURE PCT OF BUDGET REGION NSPI RATE CODE ENERGY USE RECOMMEND ENSC OPINION OF ENSC LOCATION STATUS FTEs LOCATIONS PARTICIPATION SPENT ON ENERGY OVERALL Halifax Rest of Sig LT sig LT LT Comp LT comp 5% or 6% or 10 11 2...

AI summary The document presents data on energy savings and participation in efficiency programs across different regions and locations in Nova Scotia. It includes statistics on the number of employees, locations, and energy use, as well as opinions on the Energy and Sustainability Compliance (ENSC) recommendations and budget allocation for energy.

NUMBER OF NUMBER OF FUTURE PCT OF BUDGET REGION NSPI RATE CODE ENERGY USE RECOMMEND ENSC OPINION OF ENSC LOCATION STATUS FTEs LOCATIONS PARTICIPATION SPENT ON ENERGY OVERALL Halifax Rest of Sig LT sig LT LT Comp LT comp 5% or 6% or 10 11 2...

AI summary The document presents data on the number of FTEs, locations, and energy use across different regions in Nova Scotia, along with opinions and recommendations related to energy participation and budget allocation. It also highlights concerns such as excessive paperwork and the cost of upgrades.

NUMBER OF NUMBER OF FUTURE PCT OF BUDGET REGION NSPI RATE CODE ENERGY USE RECOMMEND ENSC OPINION OF ENSC LOCATION STATUS FTEs LOCATIONS PARTICIPATION SPENT ON ENERGY OVERALL Halifax Rest of Sig LT sig LT LT Comp LT comp 5% or 6% or 10 11 2...

AI summary The text presents data on the number of FTEs, locations, and energy use across regions, along with opinions on energy efficiency programs. It highlights concerns such as 'too much paperwork' and 'cost of upgrades' with varying levels of impact across different areas and participant types.

NUMBER OF NUMBER OF FUTURE PCT OF BUDGET REGION NSPI RATE CODE ENERGY USE RECOMMEND ENSC OPINION OF ENSC LOCATION STATUS FTEs LOCATIONS PARTICIPATION SPENT ON ENERGY OVERALL Halifax Rest of Sig LT sig LT LT Comp LT comp 5% or 6% or 10 11 2...

AI summary The text presents a table with data related to energy use, participation in energy programs, and budget allocation. It includes metrics such as the number of FTEs, locations, and percentages of budget spent on energy, along with opinions and recommendations from ENSC.

NUMBER OF NUMBER OF FUTURE PCT OF BUDGET REGION NSPI RATE CODE ENERGY USE RECOMMEND ENSC OPINION OF ENSC LOCATION STATUS FTEs LOCATIONS PARTICIPATION SPENT ON ENERGY OVERALL Halifax Rest of Sig LT sig LT LT Comp LT comp 5% or 6% or 10 11 2...

AI summary The text presents data on energy use, budget allocation, and participation in energy programs across different regions in Nova Scotia, including the number of locations, FTEs, and energy use expectations. It also includes opinions and recommendations related to energy and sustainability compliance.

NUMBER OF NUMBER OF FUTURE PCT OF BUDGET REGION NSPI RATE CODE ENERGY USE RECOMMEND ENSC OPINION OF ENSC LOCATION STATUS FTEs LOCATIONS PARTICIPATION SPENT ON ENERGY OVERALL Halifax Rest of Sig LT sig LT LT Comp LT comp 5% or 6% or 10 11 2...

AI summary The document presents data on energy use, participation rates, and budget allocations across different regions in Nova Scotia, highlighting the number of locations, FTEs, and energy use categories. It includes information on the percentage of the budget spent on energy and the location status (own, lease, rent) for different regions.

NUMBER OF NUMBER OF FUTURE PCT OF BUDGET REGION NSPI RATE CODE ENERGY USE RECOMMEND ENSC OPINION OF ENSC LOCATION STATUS FTEs LOCATIONS PARTICIPATION SPENT ON ENERGY OVERALL Halifax Rest of Sig LT sig LT LT Comp LT comp 5% or 6% or 10 11 2...

AI summary The document presents data on the number of FTEs, locations, and energy use across different regions in Nova Scotia, along with recommendations and opinions from ENSC regarding energy participation and budget allocation. It highlights variations in expectations and energy use across locations.

NUMBER OF NUMBER OF FUTURE PCT OF BUDGET REGION NSPI RATE CODE ENERGY USE RECOMMEND ENSC OPINION OF ENSC LOCATION STATUS FTEs LOCATIONS PARTICIPATION SPENT ON ENERGY OVERALL Halifax Rest of Sig LT sig LT LT Comp LT comp 5% or 6% or 10 11 2...

AI summary The table presents data on energy use and participation rates across different regions in Nova Scotia, including the number of FTEs, locations, and energy use percentages. It also includes recommendations and opinions from ENSC regarding energy efficiency and compliance.

NUMBER OF NUMBER OF FUTURE PCT OF BUDGET REGION NSPI RATE CODE ENERGY USE RECOMMEND ENSC OPINION OF ENSC LOCATION STATUS FTEs LOCATIONS PARTICIPATION SPENT ON ENERGY OVERALL Halifax Rest of Sig LT sig LT LT Comp LT comp 5% or 6% or 10 11 2...

AI summary The text presents data on energy use, participation in energy efficiency programs, and budget allocation for energy-related initiatives across different regions in Nova Scotia, highlighting the number of employees, locations, and energy use categories.

NUMBER OF NUMBER OF FUTURE PCT OF BUDGET REGION NSPI RATE CODE ENERGY USE RECOMMEND ENSC OPINION OF ENSC LOCATION STATUS FTEs LOCATIONS PARTICIPATION SPENT ON ENERGY OVERALL Halifax Rest of Sig LT sig LT LT Comp LT comp 5% or 6% or 10 11 2...

AI summary The document presents data on energy use, participation in energy efficiency programs, and budget allocation for energy spending across different regions in Nova Scotia. It includes statistics on the number of locations, FTEs, and opinions on energy efficiency initiatives.

NUMBER OF NUMBER OF FUTURE PCT OF BUDGET REGION NSPI RATE CODE ENERGY USE RECOMMEND ENSC OPINION OF ENSC LOCATION STATUS FTEs LOCATIONS PARTICIPATION SPENT ON ENERGY OVERALL Halifax Rest of Sig LT sig LT LT Comp LT comp 5% or 6% or 10 11 2...

AI summary The document presents data on energy use and participation in energy efficiency programs across different regions and property statuses in Nova Scotia. It includes statistics on the number of locations, FTEs, and budget allocation percentages related to energy use and participation in programs.

4 100 7 2 71 69 Lease 17 28 12 14 21 7 10 22 17 17 15 14 16 18 15 19 22 15 2 100 2 18 17 Rent 17 18 15 20 13 4 24 11 17 18 18 16 14 19 12 20 5 22 1 2 100 12 18 1 0 1 0 2 0 1 1 1 0 0 0 1 0 1 1 1 1 0 0 0 0 0 WEIGHTED SAMPLE SIZE (#) 250 76 1...

AI summary The text presents numerical data related to lease and rent figures, along with sample sizes (weighted and unweighted) from a survey conducted by Corporate Research Associates Inc. in 2017. The data is part of a filing dated May 30, 2018, referencing ENS001-1054.

NUMBER OF NUMBER OF FUTURE PCT OF BUDGET REGION NSPI RATE CODE ENERGY USE RECOMMEND ENSC OPINION OF ENSC LOCATION STATUS FTEs LOCATIONS PARTICIPATION SPENT ON ENERGY OVERALL Halifax Rest of Sig LT sig LT LT Comp LT comp 5% or 6% or 10 11 2...

AI summary The text presents a table with data on energy use, participation in energy efficiency programs, and budget allocation for energy spending across different regions and locations in Nova Scotia. It includes metrics such as the number of FTEs, locations, and percentages of budget spent on energy.

NUMBER OF NUMBER OF FUTURE PCT OF BUDGET REGION NSPI RATE CODE ENERGY USE RECOMMEND ENSC OPINION OF ENSC LOCATION STATUS FTEs LOCATIONS PARTICIPATION SPENT ON ENERGY OVERALL Halifax Rest of Sig LT sig LT LT Comp LT comp 5% or 6% or 10 11 2...

AI summary The text presents data on the number of employees, locations, and energy use for retail stores and restaurants across different regions in Nova Scotia, along with participation and budget allocation percentages related to energy efficiency initiatives.

2017 SBES Study - Participants TABLE 34: To the best of your knowledge, approximately what percentage of your company´s operating budget for Nova Scotia locations is spent on energy costs?

AI summary The 2017 SBES Study asks participants to estimate the percentage of their company's operating budget in Nova Scotia locations that is spent on energy costs.

Pursuant to a Request for Proposals process, CRA was awarded the contract for the survey component of the Study in the fall of 2016. The Study was conducted in the winter of 2017. 1 Small businesses that: i) consumes less than 150,000kWh o...

AI summary The document outlines the review of Efficiency Nova Scotia (ENS) programs available to small businesses, focusing on Direct Installation (SBES) and Efficient Product Rebates (BER). It references a study conducted by CRA in 2017 and cites a relevant NSUARB decision from 2015.

SBA IR-16 Attachment 2, Page 9 of 43 Efficiency Nova Scotia SMALL BUSINESS ENERGY STUDY (facilities owned and operated by a municipality within Nova Scotia were eligible). This change was reverse under Phase III, discussed below. • SBES in...

AI summary The SBES introduced an open market framework for efficiency upgrades, free energy audits for small businesses, and reduced incentives to lower unit costs. Phase III in 2015 expanded eligibility for SBES to include small business facilities previously covered under BES.

018 SBA IR-16 Attachment 2, Page 18 of 43 Efficiency Nova Scotia SMALL BUSINESS ENERGY STUDY Figure 13 demonstrates that, as was the case under BES, all businesses within the SBA’s purview are eligible for SBES (comprising 87 percent of al...

AI summary The text discusses the Small Business Energy Survey (SBES) and its participation rates compared to the Business Energy Solutions (BES) program. It notes that participation in SBES was initially low due to factors such as the program starting mid-year, the need for participants to familiarize themselves with the new structure, and smaller energy efficiency budgets in 2015 and 2016. However, participation has since increased due to awareness and efforts by SBES staff.

the participant can purchase and install their energy-efficient upgrades once they receive approval to proceed from BER staff.14 Pre-approval is typically provided within 5-10 business days. Step 3: Once the installation is completed, ENS...

AI summary The process for participants to receive energy efficiency rebates involves pre-approval, installation, and post-installation verification. Participants can also choose to finance their projects through NS Power. ENS is responsible for reviewing applications and ensuring eligibility, with third-party evaluations and UARB oversight.

May 30, 2018 SBA IR-17 Attachment 1, Page 16 of 92 Efficiency Nova Scotia 2017 DSM ANNUAL PROGRESS REPORT 1 component, as compared to previous years. 10 The multi-packs have a lower per-kWh 2 rebate amount than the corresponding single-pac...

AI summary Efficiency Nova Scotia's 2017 DSM Annual Progress Report highlights lower-than-expected incentive costs due to lower rebate amounts for multi-packs and a higher proportion of appliance retirements. The Instant Savings program achieved significant energy and peak demand savings through the sale of energy-efficient products.

ly comprises homes heated by electricity. However, some 16 participation includes homes heated primarily by non-electric fuels. As these homes generate a small amount of 17 electricity savings, they receive a small amount of DSM funding. 1...

AI summary The Existing Residential program saw an increase in net peak demand savings due to program measure changes and a residential lighting metering study, despite a downward effect from the study. The EPI program contributed to a shortfall in energy savings.

effect 5 on demand savings, the program measure changes resulted in an overall increase in 6 demand savings for Existing Residential. 7 8 Home Energy Assessment 9 10 HEA saw a strong 2017 achieving net incremental energy savings of 7.0 GWh...

AI summary The Home Energy Assessment (HEA) program saw increased participation and energy savings in 2017, driven in part by the adoption of the EnerGuide Rating System 13 (ERS) and an increase in heat pump installations. ENS suspended the release of Energy Action Plans (EAPs) in Q4 2017 following the implementation of the new EnerGuide system.

pant installing a qualifying high-efficiency heat pump 15 Prior to August 1, 2017, Green Heat applicants required pre-approval prior to purchasing and installing eligible systems. DATE FILED: March 29, 2018 Page 17 of 68 Date Filed: May 30...

AI summary The text discusses changes to heat pump incentives by Efficiency Nova Scotia (ENS), including the removal of certain heat pump types from qualifying measures in 2017 due to insufficient energy savings. It also highlights the success of the Efficient Product Installation (EPI) program in achieving significant energy and peak demand savings in 2017.

Savings (GWh) (MW) (GWh) Residential/Charitable (2,3,4) 3.2 97.1 0.9 1,258 403 Small General (10) 0.0 0.0 0.0 0 0 General Demand (11) 0.0 0.0 0.0 0 0 Large General (12) 0.0 0.0 0.0 0 0 Small Industrial (21) 0.0 0.0 0.0 0 0 Medium Industria...

AI summary The text presents energy savings data categorized by residential, commercial, and industrial sectors, showing total savings in GWh and MW. It notes that savings are net of free-ridership and spillover, and expenditure amounts are unaudited. Some data may have been updated from previous quarters.

tures reported in previous 4 quarters may have been updated and are reflected in the year-end totals. 5 New Residential includes the New Home Construction program component. 6 7 NHC saw an increase in registrations in 2017 compared to 2016...

AI summary In 2017, the New Home Construction (NHC) program saw increased registrations but fewer completed projects than expected, leading to a shortfall in energy savings. This was partly due to a major service provider exiting the program, which ENS helped manage. ENS also increased incentives in Q2 2017 to support building energy-efficient homes.

2017 DSM ANNUAL PROGRESS REPORT 1 and Savings Verification Consultant recommendations, ENS updated its NHC incentives 2 in Q2 of 2017. 19 3 4 In 2016, ENS launched a Passive House pilot to encourage more Passive House 5 construction, as we...

AI summary In 2017, ENS updated its NHC incentives and launched a Passive House pilot to encourage energy-efficient construction. The BNI sector achieved significant energy and peak demand savings, with programs including Efficient Product Rebates, Custom Incentives, and Direct Installation. ENS also continued its On-site Energy Manager initiative to support energy-efficiency projects in large organizations.

istribution in the 2017 mid-course adjustments resulting in a higher 9 demand-to-energy ratio overall, as compared to the UARB-approved plan. 10 11 1.3.1 Efficient Product Rebates 12 13 Efficient Product Rebates, marketed as Business Energ...

AI summary The 2017 mid-course adjustments led to a higher demand-to-energy ratio compared to the UARB-approved plan. Efficient Product Rebates (BER) achieved higher energy and peak demand savings than planned, with results broken down by rate class in Table 7.

PR (BNI) includes some residential customers as eligible participants (e.g., farms, community groups on charitable 7 rate codes, rental apartment buildings, and condominium buildings). 8 9 EPR achieved its highest energy savings levels in...

AI summary The 2017 DSM Annual Progress Report highlights the expansion of the Business and Non-Profit Initiative (BNI) to include more residential participants, such as farms and rental buildings. Efficiency Nova Scotia (ENS) achieved record energy savings through the sale of over 349,000 energy-efficient products, with continued growth in Instant Rebates and stable Mail-In participation. The expansion of the Building Energy Retrofit (BER) program to include pool equipment and the continued popularity of lighting and HVAC measures are also noted.

May 30, 2018 SBA IR-17 Attachment 1, Page 27 of 92 Efficiency Nova Scotia 2017 DSM ANNUAL PROGRESS REPORT 1 As a result of the increase in participation observed, program expenditures also 2 increased as compared to the amount forecast in...

AI summary The 2017 DSM Annual Progress Report highlights increased participation and program expenditures, with a 13% reduction in EPR unit costs due to improved performance of the Instant Rebates service. The Custom Incentives program achieved energy and peak demand savings, supporting innovative projects through technical and financial assistance.

Residential/Charitable 0.2 2.4 0.0 36 1 (2,3,4) Small General (10) 0.0 0.0 0.0 0 0 General Demand (11) 8.6 130.1 1.4 1,500 28 Large General (12) 4.0 59.8 1.4 765 13 Small Industrial (21) 2.0 30.6 0.1 439 8 Medium Industrial (22) 3.2 43.5 0...

AI summary The text presents a summary of energy and demand savings across various customer categories, including residential, commercial, and industrial sectors. It highlights total savings, expenditures, and participant numbers, noting that figures may be rounded and updated from previous quarters. Custom Incentives includes multiple program components and certain residential participants.

counted once, but their participation is ongoing throughout the year. 7 Custom Incentives includes some residential customers as eligible participants (e.g., farms, community groups on 8 charitable rate codes, rental apartment buildings, r...

AI summary The Custom Incentives program under Efficiency Nova Scotia generated 21.0 GWh of net incremental energy savings and 3.6 MW of net peak demand savings in 2017. However, the program fell short of its planned energy savings targets due to lower-than-anticipated savings across its components, leading to reduced expenditures.

A breakdown of 2017 net incremental energy and net peak demand savings, 32 expenditures, and participation by rate class for the SBES program is presented in Table 33 9, below. DATE FILED: March 29, 2018 Page 28 of 68 Date Filed: May 30, 2...

AI summary The text presents a table summarizing the 2017 performance of the SBES program, including net incremental energy and peak demand savings, expenditures, and participation by rate class. The table includes data on BNI Direct Installation results, such as energy savings, peak demand savings, and expenditures.

Savings (GWh) (MW) (GWh) Residential/Charitable (2,3,4) 1.1 15.0 0.2 513 69 Small General (10) 0.8 10.5 0.1 389 78 General Demand (11) 5.4 68.2 0.9 2,632 252 Large General (12) 0.0 0.0 0.0 0 0 Small Industrial (21) 0.4 5.4 0.1 134 10 Mediu...

AI summary The document presents energy and demand savings data across various sectors, including residential, commercial, industrial, and municipal. The data includes figures in GWh and MW, and notes that savings are net of free-ridership and spillover. Expenditure amounts are unaudited, and figures may have been updated from previous quarters.

in previous quarters 4 may have been updated and are reflected in the year-end totals. 5 Direct Installation includes the Small Business Energy Solutions program component. 6 7 In 2017, SBES saw 417 projects, a significant increase over th...

AI summary The Small Business Energy Solutions (SBES) program saw increased participation and energy savings in 2017, attributed to process improvements and contractor referrals. However, the Multifamily Affordable Housing Pilot underperformed its savings targets due to lower-than-expected results, despite achieving initial participation goals.

Page 29 of 68 Date Filed: May 30, 2018 SBA IR-17 Attachment 1, Page 33 of 92 Efficiency Nova Scotia 2017 DSM ANNUAL PROGRESS REPORT 1 regarding the energy-efficient upgrades recommended in the upgrade reports and that 2 pilot participants...

AI summary Efficiency Nova Scotia's 2017 DSM Annual Progress Report highlights challenges in implementing energy-efficient upgrades due to insufficient capital, even with incentives. SBES worked with pilot participants, resulting in ten completed projects. Energy savings were impacted by baseline adjustments and evaluation processes, though expenditures remained aligned with planned amounts. Net peak demand savings were lower than anticipated due to fewer upgrades in the Multifamily Affordability Housing Pilot.

3.8 45.1 1.0 0.5 Business Energy Rebates - Mail-In6,7 1.3 15.8 0.5 0.2 42 Buildings retrofitted Business Energy Rebates - Instant6,8 2.5 29.2 0.5 0.4 25,965 Units rebated Custom Incentives 1.4 20.9 0.1 0.2 Custom6,7 1.4 20.9 0.1 0.2 11 Bui...

AI summary The document provides numerical data on various energy efficiency programs, including the number of buildings retrofitted, units rebated, and participation estimates. It highlights program components such as Business Energy Rebates, Custom Incentives, and Direct Installation, with figures indicating participation levels and outcomes.

ed: May 30, 2018 SBA IR-17 Attachment 1, Page 39 of 92 Efficiency Nova Scotia 2017 DSM ANNUAL PROGRESS REPORT 1 • releasing the 2016 EfficiencyOne Annual Report (distinct from the ENS Annual 2 Progress Report); 3 • releasing ENS’s The Swit...

AI summary Efficiency Nova Scotia (ENS) released various reports and newsletters in 2017, including the 2016 EfficiencyOne Annual Report and The Switch e-newsletters. ENS also recognized achievements in energy efficiency and received awards for its contributions. Development and research initiatives included the Incentive Setting Methodology, a Small Business Energy Study, and the electronic Technical Reference Manual (eTRM).

17 improve the experience at each stage of the participant journey. Finally, ENS completed 18 a review of the economic impact of the energy-efficiency industry in Nova Scotia. 19 20 ENS also collected user experience and other behavioural...

AI summary Efficiency Nova Scotia (ENS) conducted research on participant experiences and the economic impact of the energy-efficiency industry. ENS also explored enabling strategies such as PACE financing and capacity building to support participation in demand-side management (DSM) programs.

rs of operation of CFLs. Certainly, it can be assumed that the CFLs installed first were installed in sockets that had the longest hours of operation to maximize the investment in more expensive bulbs. Yet, as the market evolves, the incan...

AI summary The text discusses the need to adjust the hours of operation for CFLs in energy savings calculations as market conditions evolve. It also mentions the implementation of a QA program by ENSC in 2013, with plans to integrate it into the Dynamic DSM in the future.

2014 Evaluation Perform thorough M&V and document it in a complete report for every large Custom-R1 Complete ENS agrees with this recommendation. Standardized M&V processes and Complete project for which thorough M&V work is justified and...

AI summary The document discusses the importance of thorough Measurement and Verification (M&V) processes for energy efficiency projects, emphasizing the need for complete reports for large projects and recommending standardized practices. ENS agrees with the recommendation and acknowledges that improvements may still be needed.

Expected Evaluation/ Year Recommendation Text Source Status Comments Period of Verification Completion 2014 Evaluation Gather more data to conduct a conclusive calibration billing analysis in 2015. Custom NC-R1 Deferred ENS appreciates thi...

AI summary In 2014, an evaluation recommended gathering more data to conduct a conclusive calibration billing analysis in 2015. Despite 23 projects completed in 2012 and 2013, only seven had sufficient energy billing data for analysis. The inconclusive results led to the recommendation to continue the evaluation in future years and use Portfolio Manager for storing utility bill data.

esults should include the identification of the CEAs who conducted each assessment to provide more support or training to CEAs with less experience. 2015 Evaluation Continue working towards the standardization of measurement and Custom-R2...

AI summary The document discusses the need for standardizing measurement and verification (M&V) procedures for Custom Retrofit under ENS. It highlights the importance of involving CEAs in the process and improving documentation to ensure consistency and completeness of M&V activities. ENS has standardized its M&V policy and plans to launch an updated PDA in 2018.

ay 30, 2018 SBA IR-17 Attachment 1, Page 81 of 92 Table 3 Attachment 1, Page 9 of 20 Update on Implementation of 2016 Evaluation Recommendations Expected Recommendation Text Source Status Comments Period of Completion Start using the new m...

AI summary In 2016, the Evaluator improved the methodology for calculating interactive effects used by ENS and applied it to several programs, including BER, Custom, and SBES. This new method was implemented and is recommended for use in 2017.

iness Energy SBES, and Custom program components. Rebates, Custom, and Small Business Energy Solutions. It is recommended that this new methodology be applied in 2017.

AI summary The text discusses the implementation of a new methodology for energy efficiency programs, including rebates, custom solutions, and small business energy solutions, with a recommendation to apply it in 2017.

Continue to perform metering activity and keep improving its quality and effectiveness. This year, metering ARet-R1 Complete ENS agrees with this recommendation and met all 2017 metering Complete activity was focused on the small appliance...

AI summary The text discusses metering activities related to appliance retirement programs, highlighting improvements in metering protocols, challenges with data collection, and recommendations for better data precision in 2017. The Evaluator suggests using raw current transformer data and revising eligibility criteria to ensure more accurate impact evaluations.

tailed final design evaluation report, or the necessary section views and component drawings to indicate all material layers, insulation levels and thickness contained in wall and ceiling components. Continue improving the BER Mail-in inte...

AI summary The document discusses improvements to the BER Mail-in internal review procedure, focusing on addressing issues with lighting measure categories. These issues include inconsistent hours of use, ballast factors, and baseline wattages. ENS has implemented measures such as modifying application forms and updating tools to improve accuracy.

input obtained from interviews with distributors. Sales data of non-efficient lighting products, if available, might also allow comparing the sales level of products rebated through Instant Rebates. Update the values used in the BER Mail-i...

AI summary The text discusses updates to values used in BER Mail-in and Instant Rebates calculations based on the 2016 evaluation results. ENS agrees with the recommendation and has implemented the changes, updating assumptions and baseline values in the CIRx tool for 2017 projects.

2017 and will continue using the new method in all commercial program components. It is recommended that this new methodology be applied in 2017. 2018. Ensure that a systematic review of Retrofit’s peak demand savings calculations is perfo...

AI summary The document recommends applying a new methodology for calculating peak demand savings in Retrofit projects starting in 2017. It highlights that the adjustment ratio was high due to consultants not accounting for peak demand savings or ENS being overly cautious. The Evaluator suggests requiring consultants to include peak demand savings calculations and validating projects without them through an internal review.

, which ENS reviews. ENS should require that all M&V plans include either an estimate of peak demand savings or a summary of the energy conservation measures with the potential to reduce peak demand. Continue to support EMIS and identify p...

AI summary ENS reviews M&V plans to ensure they include peak demand savings estimates or energy conservation measures that reduce peak demand. ENS supports the continuation and expansion of EMIS, citing participant satisfaction and potential for additional savings beyond the first year of participation.

Table 3 Attachment 1, Page 14 of 20 Update on Implementation of 2016 Evaluation Recommendations Expected Recommendation Text Source Status Comments Period of Completion Track incremental savings rather than cumulative savings. For continui...

AI summary The text discusses the implementation of a 2016 recommendation to track incremental savings rather than cumulative savings for continuing participants in the EMIS program. ENS took steps in 2017 to build a new baseline for continuing participants and re-baselined savings models for EMIS.

t could include additional support to participants or some form of performance incentive for service providers to identify potential new measures after easy, low-cost measures have been implemented. Track major changes to facility operatio...

AI summary The text discusses the need for performance incentives for service providers and the importance of tracking changes in facility operations to adjust energy baselines. It highlights an example where a retrofit project led to double-counting of energy savings due to an outdated baseline, emphasizing the need for systematic reviews to ensure accurate reporting.

lements impacting the baseline and the energy efficiency measures implemented, rather than accuracy of savings calculations. categorizing them all as operational changes. Identify energy efficiency measures installed under ENS instant reba...

AI summary The text discusses the need to accurately track energy efficiency measures installed under ENS instant rebate programs to avoid double-counting savings, and the application of baseline energy regression adjustments to continuing SEM participants to ensure consistent evaluation methods.

Focus the 2017 evaluation on the same standards as evaluated in 2016. While the new standards set forth in CS-R1 Complete ENS's Evaluator included some Amendment 13 product types in the 2017 Complete Amendment 13 will come into force at th...

AI summary The 2017 evaluation should focus on the same standards as in 2016 due to the delayed impact of Amendment 13. The Evaluator recommends continuing the evaluation of existing standards while starting to collect market data on new products affected by Amendment 13, as historical data from regulatory organizations and industry associations is critical for assessing market size.

viding savings estimates based on expected lifetimes to support comparisons General-SV-1 in each of its 2017 evaluation reports. among programs and to improve foresight. For program types that permit, ENS and the Advisory Group should cons...

AI summary ENS and the Advisory Group are considering the potential benefits and costs of introducing selected persistence evaluations to document lifetimes and persistence of savings. ENS appreciates the consideration but does not recommend pursuing it at this time, citing the 2017 review of Effective Useful Lives (EULs) and lifetime savings.

continues to explore the option of merging the two offerings. Add the following EMIS related terms to the Definitions (p. iii); Baseline regression, Projected baseline, EMIS-SV-R2 Complete ENS agrees with this recommendation. The Evaluator...

AI summary The document discusses the inclusion of EMIS-related terms in the Definitions section, with ENS agreeing to the recommendation. It highlights the need to reference the relationship between reported energy usage and the projected baseline in definitions for cumulative and incremental savings.

d column titled "Resources Provided" in Table 25 above the text. For future evaluations, please systematically address what savings would have resulted naturally via SV-MEPS-1 Not ENS appreciates this recommendation but notes that influenc...

AI summary ENS appreciates a recommendation to address Naturally Occurring Market Adoption Factors (NOMADs) for Minimum Energy Performance Standards (MEPs) but notes that influencing energy codes and standards is not a primary focus. ENS reports on energy savings for informational purposes only and does not claim them, citing potential significant impacts on the evaluation budget.

, ENS does not suggest pursuing this recommendation at this time. In the next evaluation, the evaluator should carry out the attribution step for each MEP. SV-MEPS-2 Not ENS appreciates this recommendation but notes that when new codes and...

AI summary ENS appreciates a recommendation but does not suggest pursuing it due to minimal expected savings and significant impact on the Codes & Standards evaluation budget. ENS notes that new codes and standards do not require its influence to achieve savings.

Technical Tables EfficiencyOne-2019 Demand Side Management (DSM) Resource Plan M08604 (E-ENS-R-18) Unnamed: 1 Unnamed: 2 Unnamed: 3 Unnamed: 4 Unnamed: 5 Unnamed: 6 Unnamed: 7 Unnamed: 8 Unnamed: 9 Unnamed: 10 Unnamed: 11 Unnamed: 12 Unnam...

AI summary The document presents a technical table related to the EfficiencyOne-2019 Demand Side Management (DSM) Resource Plan M08604 (E-ENS-R-18), focusing on a 'Relamp/Reballast-Retrofit (dual baseline)' program under the Business Energy Rebates (BNI) initiative. It includes various metrics such as office lighting efficiency, costs, and program-specific details.

yment to EfficiencyOne. 18 19 Any funding for 2016, 2017, and 2018 that is not spent will be returned to NS Power in 2020 20 through a reduction in the fee-for-service payment to EfficiencyOne. Date Filed: May 30, 2018 E1 (NSUARB) IR-11 Pa...

AI summary EfficiencyOne (E1) states the 2019 DSM investment of $34.05 million is less than DSM cost recovery in 2019 rates, citing a 2015 Board decision that deferred unused 2014 DSM funds to cover excess fuel costs, which remain in rates. Unused 2016–2018 funds will be returned to NS Power in 2020.

NON-CONFIDENTIAL 1 Request IR-15: 2 3 Page 16 notes that the 2019 DSM Resource Plan includes increased demand reduction 4 through pilots developed by E1 in collaboration with NSPI. Page 21 of Appendix A notes 5 that $1.0 million has been b...

AI summary The response outlines two demand reduction pilot programs by EfficiencyOne (E1) in residential and BNI sectors, budgeted at $1 million. The pilots aim for equitable access and experience across customer types, with independent evaluations planned. No specific measures or per-pilot budgets are detailed yet.

on the outcome of, inter alia, discussions with NS Power, stakeholders, and expert 16 consultants. 17 18 Table 2: Custom Incentives Demand Reduction Pilot High-Level Budget Custom Incentives Demand Reduction Pilot Program Planned Participa...

AI summary The document outlines a budget for a Custom Incentives Demand Reduction Pilot Program, including third-party research, incentive spending, pilot design, marketing, and evaluation. It also mentions that without these pilots, funds would have been redirected to existing programs.

Incremental Incremental Lifetime Net First Annual Net Annual Net Energy Year Lifetime Investment Energy Demand 2019 Savings at Unit Unit Cost ($ million) Savings at Savings at Generator Cost ($/kWh)a Generator Generator (GWh)a ($/kWh) (GWh...

AI summary The text presents data on residential and business energy efficiency programs, including investment amounts, energy savings, and cost metrics. It highlights the impact of various demand-side management (DSM) initiatives, such as efficient product rebates and residential programs, on energy savings and unit costs.

Ensure that the tracking sheet is complete and accurate. While reviewing the project 2017 EMIS-R1 In Progress ENS agrees with this recommendation. ENS will update its process for 2018 documentation, the Evaluator found several discrepancie...

AI summary The Evaluator found discrepancies between savings figures in the final tracking sheet and annual reports, and recommends updating the tracking sheet with final values from annual reports and tracking annual peak demand savings.

Completion Date Design baseline regressions and plan M&V activities to ensure accurate savings 2017 EMIS-R2 In Progress ENS agrees with this recommendation. ENS has updated the tracking sheet to 2018 calculations even when changes occur in...

AI summary The Evaluator recommends that ENS proactively identify and track independent variables to ensure accurate savings calculations, especially when facility operations change. ENS has updated the tracking sheet and will conduct quarterly calls to monitor changes and adjust the baseline as needed.

how the model has been changed to reflect these adjustments. gathering the baseline data before their implementation and made the necessary baseline adjustments afterwards. Implement an internal procedure to identify and thoroughly review...

AI summary The document discusses the need for an internal procedure to review complex custom projects for savings calculation accuracy. ENS agrees with the recommendation and is developing a procedure involving collaboration with Custom staff and SBES training. Custom measures often have the largest savings and require specialized review.

Incremental Eligible Planned Lifetime Benefits b c Avoided CO2 e 2019 PAC Result TRC Result Customers Participants ($ million)a Emissions (thousands)d (thousands)e (kt)f Residential DSM Programs Efficient Product Rebates 10.3 2.9 1.8 475.8...

AI summary The table presents data on residential and business Demand Side Management (DSM) programs, including lifetime benefits, avoided CO2 emissions, and participant numbers. Residential programs show total benefits of $61 million and 33.4 kt CO2 avoided, while business programs highlight $32.1 million in benefits and 3.4 kt CO2 avoided.

n/a n/a Total 133.3 3.9 2.3 511.8 80.7 83.1 Currency is expressed in 2019 dollars. Columns may not add correctly, due to rounding. a Based on values of program Weighted Average Measure Life, which have been derived from ex-post 2016 measur...

AI summary The text presents a table analyzing demand-side management (DSM) program metrics, including net present value of avoided costs, benefit/cost ratios (PAC/TRC), and emissions impacts. Data is expressed in 2019 dollars, referencing the 2016-2018 DSM Plan and incorporating eligibility overlaps between programs. Footnotes clarify methodological assumptions and cost allocation frameworks.

1 26 27 Lighting will continue to play an important role in achieving both energy and demand savings in 28 the future. In 2019, customers will continue to achieve significant energy and demand savings 29 from lighting upgrades. However, Ef...

AI summary EfficiencyOne emphasizes the continued role of lighting in energy savings but aims to diversify 2019 DSM programs by prioritizing non-lighting upgrades. This shift involves adjusting budget targets and program components to promote broader energy-saving measures, framed as an ongoing transition rather than a sudden departure from lighting initiatives.

ssessment is not requested or desired. 7 Ibid. 6 Date Filed: May 30, 2018 Synapse IR-08 Attachment 1, Page 12 of 47 KEY MODEL CHARACTERISTICS Broadly speaking, the Consultant should be capable of modelling using both a savings-driven and b...

AI summary The text outlines key model characteristics for a consulting approach, emphasizing the need for both savings-driven and budget-driven modeling, measure mix optimization, and cost-effectiveness screening. It also highlights portfolio design considerations, aiming for a balanced plan approach across four general categories.

ergy and Peak Demand Savings by Product Category for EPI Single-family Homes LED Lamps Category of Product 9W 9W 9W 9.5W 9.5W 9.5W Replacing Replacing Replacing Replacing Replacing Replacing 40W 60W 100W 40W 60W 100W Energy Savings Total N...

AI summary The text provides data on energy and peak demand savings from LED lamp installations in single-family homes under the Efficient Product Installation (EPI) program. It includes metrics such as number of units installed, energy savings, installation rates, and lifetime energy savings.

5.2 32.5 380.3 5.1 0.160 0.014 62,339 17,900 21.2 Business, Nonprofit, and Institutional Programs Custom Incentives 6.1 34.3 427.2 3.6 0.176 0.014 35,761 147 22.4 Custom 5.3 30.1 414.8 3.2 0.176 0.013 not avail. not avail. 19.6 Energy Mana...

AI summary The text presents a table with numerical data related to business, nonprofit, and institutional programs, including custom incentives, energy management systems, and strategic energy management. It includes metrics such as participation numbers, costs, and program effectiveness.

1.7 n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a Strategies Enabling Development & Research 0.4 n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a Other Enabling Strategies 0.9 n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a Enabling Strategies Total 3.0 n/a n/a...

AI summary The text provides a table with data on enabling strategies, including development and research, other enabling strategies, and totals, expressed in 2016 dollars. Notes explain the currency, rounding, and calculation methods used. The data includes metrics such as weighted average measure life, emissions intensity, and net present value of avoided costs.

h 1.6 n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a Strategies Enabling Development & Research 0.3 n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a Other Enabling Strategies 0.9 n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a Enabling Strategies Total 2.8 n/a n/...

AI summary The text presents a table with data on strategies, including enabling development and research, other enabling strategies, and totals. It includes notes about currency, rounding, and specific calculations related to emissions and program benefits. The data appears to be related to energy efficiency and program performance metrics.

NON-CONFIDENTIAL 62 Table 4: 2018 Approved Plan - by Program Component - Updated to reflect Mid-Course Adjustment Incremental Incremental Lifetime Net Annual Net Annual Net Incremental Energy Energy Demand First Year Lifetime Avoided Inves...

AI summary The text presents a table titled '2018 Approved Plan - by Program Component - Updated to reflect Mid-Course Adjustment,' which includes columns such as 'Incremental Investment,' 'Annual Net Energy Savings at the Generator,' 'Lifetime Net Energy Savings,' and 'Avoided CO2e Emissions.' The table appears to detail energy efficiency and demand-side management program components and their associated metrics.

ates Existing Residential 55.7 2.5 5.1 New Residential 8.4 2.8 6.5 Business, Nonprofit and Institutional Programs Efficient Product 30.3 2.5 4.9 Rebates Custom Incentives 38.1 3.4 5.6 Direct Installation 8.5 1.3 2.4 Total 148.3 2.5 4.6 76...

AI summary The document presents data on residential and business energy efficiency programs, including avoided costs and benefit/cost ratios. It references a DSM Resource Plan and mentions EfficiencyOne's response to Synapse Energy Economics, along with a filing date and reference number.

$0.0 0.0 0.0 0.0 n/a n/a 0.0 Appliances $1.7 3.3 28.2 0.4 $0.528 $0.061 2.1 Lighting $3.9 32.8 532.7 7.1 $0.119 $0.007 21.4 Other $0.0 0.2 0.0 0.0 $0.078 $0.348 0.1 Total $5.7 37.3 572.2 7.1 $0.153 $0.010 24.4 Currency is expressed in 2016...

AI summary The text presents a table with financial and emissions data, including appliance, lighting, and other categories, with values expressed in 2016 dollars. It mentions the use of actual 2016 CO2e emissions intensity for estimating incremental emissions impacts.

5 6 Table 2: Existing Residential Data by End Use - 2016 Incremental Annual Incremental Annual Lifetime Net Incremental Annual First Year Lifetime Avoided CO2 e Investment Net Energy Savings Energy Savings Net Demand Savings Existing Resid...

AI summary The table presents data on existing residential energy use in 2016, including investment costs, energy savings, demand savings, and avoided CO2 emissions for different end uses such as whole home, space heating, cooling, and water heating.

7 8 Table 3: New Residential Data by End Use - 2016 Incremental Annual Incremental Annual Lifetime Net Incremental Annual First Year Lifetime Avoided CO2 e Investment Net Energy Savings Energy Savings Net Demand Savings New Residential (20...

AI summary The table presents data on new residential energy use in 2016, including investment costs, energy savings, and CO2 emissions avoided for different end uses. The data highlights energy savings and costs for whole home, space heating, and water heating categories.

NON-CONFIDENTIAL 1 Table 4: Residential Sector Data by End Use - 2016 Incremental Annual Incremental Annual Lifetime Net Incremental Annual First Year Lifetime Avoided CO2 e Investment Net Energy Savings Energy Savings Net Demand Savings T...

AI summary Table 4 presents residential sector data for 2016, including investment costs, energy savings, and CO2 emissions avoided across different end uses such as whole home, space heating, and water heating.

ing, Cooling, Ventilation $1.4 5.0 82.8 1.9 $0.288 $0.017 3.3 Water Heating $0.9 5.3 50.3 0.8 $0.164 $0.017 3.5 Appliances $1.7 3.3 28.2 0.4 $0.528 $0.061 2.1 Lighting $7.5 44.9 737.1 9.6 $0.168 $0.010 29.3 Other $0.4 1.8 6.7 0.0 $0.200 $0...

AI summary The text presents data on energy usage and associated emissions across various categories such as heating, cooling, ventilation, water heating, appliances, lighting, and other uses. The data includes annual emissions impacts, measured in 2016 dollars and CO2e emissions intensity, with a note that rounding may affect column totals.

2 3 Table 5:– Efficient Product Rebates (BNI) Data by End Use - 2016 Incremental Annual Incremental Annual Lifetime Net Incremental Annual First Year Lifetime Avoided CO2 e Investment Net Energy Savings Energy Savings Net Demand Savings Ef...

AI summary The table presents data on efficient product rebates (BNI) in 2016, including investment, energy savings, demand savings, and CO2 emissions avoided for different end uses such as whole building, space heating, cooling, and water heating.

$0.5 2.8 42.3 0.9 $0.166 $0.011 1.9 Water Heating $0.0 0.0 0.0 0.0 $0.647 n/a 0.0 Appliances $0.0 0.2 1.9 0.1 $0.119 $0.013 0.1 Lighting $5.3 31.9 343.6 5.8 $0.167 $0.016 20.8 Compressed Air $0.0 0.1 1.1 0.0 $0.112 $0.011 0.1 Process $0.0...

AI summary This table presents energy usage and emissions data across various sectors, with figures expressed in 2016 dollars. It includes categories such as water heating, appliances, lighting, and others, along with associated costs and emissions impacts. The data is noted to be rounded and expressed in 2016 dollars, with an explanation of emissions intensity provided in a footnote.

4 5 Table 6: Custom Incentives Data by End Use - 2016 Incremental Annual Incremental Annual Lifetime Net Incremental Annual First Year Lifetime Avoided CO2 e Investment Net Energy Savings Energy Savings Net Demand Savings Custom Incentives...

AI summary Table 6 provides data on custom incentives in 2016, including investment amounts, energy savings, and associated costs and emissions for different end uses such as whole building, space heating, and water heating.

9.9 205.3 1.0 $0.168 $0.008 6.5 Water Heating $0.1 0.2 3.0 0.0 $0.279 $0.018 0.1 Appliances $0.0 0.0 0.0 0.0 n/a n/a 0.0 Lighting $0.4 1.9 23.1 0.2 $0.222 $0.019 1.3 Compressed Air $0.2 3.3 13.7 0.3 $0.063 $0.015 2.2 Process $0.4 2.2 22.8...

AI summary The table provides data on energy use and emissions impacts across various categories such as water heating, lighting, and refrigeration, with values expressed in 2016 dollars. It includes metrics like annual emissions impacts and energy efficiency measures.

NON-CONFIDENTIAL 1 Table 7: Direct Installation Data by End Use - 2016 Incremental Annual Incremental Annual Lifetime Net Incremental Annual First Year Lifetime Avoided CO2 e Investment Net Energy Savings Energy Savings Net Demand Savings...

AI summary The table provides data on direct installation costs and energy savings for various end uses in 2016, including space heating, cooling, and ventilation, with details on investment, energy savings, and avoided CO2 emissions.

$0.0 0.0 0.0 0.0 $0.663 $0.134 0.0 Appliances $0.0 0.0 0.0 0.0 $0.663 $0.244 0.0 Lighting $2.0 3.0 34.6 0.8 $0.669 $0.058 2.0 Compressed Air $0.0 0.0 0.0 0.0 n/a n/a 0.0 Process $0.0 0.0 0.0 0.0 n/a n/a 0.0 Refrigeration $0.0 0.0 0.0 0.0 n...

AI summary The table presents data on energy efficiency programs, showing costs and savings across various categories such as appliances, lighting, and compressed air. It includes figures in 2016 dollars and notes that emissions impacts are calculated using the 2016 CO2e emissions intensity.

4 5 Table 9: Portfolio Data by End Use - 2016 Incremental Annual Incremental Annual Lifetime Net Incremental Annual First Year Lifetime Avoided CO2 e 2016 Portfolio Total Investment Net Energy Savings Energy Savings Net Demand Savings Unit...

AI summary Table 9 presents portfolio data by end use in 2016, including investment, energy savings, demand savings, unit costs, and avoided CO2 emissions for various categories such as whole building, space heating, water heating, and appliances.

0.9 $0.172 $0.018 3.6 Appliances $1.8 3.5 30.1 0.5 $0.504 $0.058 2.3 Lighting $15.3 81.8 1138.3 16.4 $0.187 $0.013 53.4 Compressed Air $0.2 3.4 14.8 0.4 $0.065 $0.015 2.2 Process $0.4 2.2 22.8 0.2 $0.202 $0.020 1.4 Refrigeration $0.5 3.1 4...

AI summary The table presents data on energy efficiency measures, including appliance, lighting, and compressed air programs, with details on costs, savings, and emissions impacts. The data is expressed in 2016 dollars and includes incremental emissions impacts calculated using a specific CO2e emissions intensity.

2 3 Table 11: Existing Residential Data by End Use - 2017 Incremental Annual Incremental Annual Lifetime Net Incremental Annual First Year Lifetime Avoided CO2 e Investment Net Energy Savings Energy Savings Net Demand Savings Existing Resi...

AI summary The table presents data on existing residential energy use in 2017, including investment costs, energy savings, and avoided CO2 emissions for different end uses such as cooking, electronics, domestic hot water, and heating. The data highlights incremental annual energy savings and their associated costs and emissions.

3.9 39.2 0.6 $0.164 $0.016 2.6 Heating, Ventilation and Air Conditioning ( $3.5 9.9 193.4 6.6 $0.347 $0.018 6.5 Lighting $2.6 12.3 111.7 0.0 $0.215 $0.024 8.0 Refrigeration $0.0 0.0 0.0 0.0 n/a n/a 0.0 Process $0.0 0.0 0.0 0.0 n/a n/a 0.0...

AI summary The text presents a table with data on various energy sectors, including Heating, Ventilation and Air Conditioning, Lighting, and Refrigeration, detailing emissions and costs. The data is expressed in 2017 dollars, and the table includes notes on rounding and emissions intensity.

0.3 0.0 $0.120 $0.326 0.6 Heating, Ventilation and Air Conditioning ( $0.5 3.5 71.0 0.4 $0.143 $0.007 2.3 Lighting $5.8 40.1 445.6 6.6 $0.145 $0.013 26.2 Refrigeration $0.2 0.8 10.8 0.2 $0.258 $0.019 0.5 Process $0.1 1.2 17.4 0.1 $0.123 $0...

AI summary The text presents a table with data on various energy sectors, including Heating, Ventilation and Air Conditioning, Lighting, Refrigeration, Process, Energy Management, and Other, with details on costs, emissions, and other metrics. The data is expressed in 2017 dollars, and a note explains the calculation method for emissions impacts.

2 3 Table 17: BNI Sector Data by End Use - 2017 Incremental Annual Incremental Annual Lifetime Net Incremental Annual First Year Lifetime Avoided CO2 e Investment Net Energy Savings Energy Savings Net Demand Savings Total BNI (2017) ($ mil...

AI summary The text presents a table with data on BNI sector investments and energy savings across various end-use categories in 2017. It includes metrics such as incremental annual investment, energy savings, and avoided CO2 emissions for different sectors like cooking, electronics, domestic hot water, and heating.

Unit Cost Unit Cost (2018) ($ million) at the Generator at the Generator at the Generator ($/kWh) ($/kWh) Emissions a (GWh) (GWh) (MW) (kt) Cooking and Laundry $0.2 0.2 2.1 0.0 $1.032 $0.104 0.1 Electronics and Information Technology (IT $...

AI summary The text presents unit costs and energy usage data across various sectors, including Cooking and Laundry, Electronics and IT, Domestic Hot Water, Heating, Ventilation and Air Conditioning, Lighting, and Refrigeration. It includes metrics such as unit cost, generation volume, emissions, and other related parameters.

s $0.0 0.0 0.0 0.0 n/a n/a 0.0 Energy Management $0.0 0.0 0.0 0.0 n/a n/a 0.0 Other $0.0 0.0 0.0 0.0 n/a n/a 0.0 Total $4.2 19.3 171.3 2.6 $0.220 $0.025 12.6 Currency is expressed in 2018 dollars. Columns may not add correctly, due to roun...

AI summary The document provides financial data and emissions impact estimates. It includes a table with figures in 2018 dollars, noting that columns may not add correctly due to rounding. The incremental annual emissions impact is calculated using the 2016 CO2e emissions intensity of 653 tonnes/GWh.

0.0 Domestic Hot Water (DHW) $0.0 0.0 0.0 0.0 n/a n/a 0.0 Heating, Ventilation and Air Conditioning ( $2.0 4.6 137.2 1.3 $0.441 $0.015 3.0 Lighting $0.0 0.0 0.0 0.0 n/a n/a 0.0 Refrigeration $0.0 0.0 0.0 0.0 n/a n/a 0.0 Process $0.0 0.0 0....

AI summary The table presents data on energy costs and emissions impacts for various sectors, including Heating, Ventilation and Air Conditioning (HVAC) with a total cost of $2.0 and annual emissions impacts estimated using a 2016 CO2e emissions intensity of 653 tonnes/GWh. Other sectors such as Domestic Hot Water, Lighting, and Refrigeration have zero costs and emissions. The data is expressed in 2018 dollars, and rounding may cause discrepancies in column totals.

3 Table 22: Residential Sector Data by End Use - 2018 Incremental Annual Incremental Annual Lifetime Net Incremental Annual First Year Lifetime Avoided CO2 e Investment Net Energy Savings Energy Savings Net Demand Savings Total Residential...

AI summary The table provides data on residential sector energy use in 2018, including investment, energy savings, and CO2 emissions for different end uses such as cooking, laundry, and domestic hot water. It includes metrics like incremental annual net energy savings and avoided CO2 emissions.

3 4 Table 26: BNI Sector Data by End Use – 2018 Incremental Annual Incremental Annual Lifetime Net Incremental Annual First Year Lifetime Avoided CO2 e Investment Net Energy Savings Energy Savings Net Demand Savings Total BNI (2018) ($ mil...

AI summary The table presents BNI sector data for 2018, including investment, energy savings, and demand savings across different end uses. The data highlights incremental annual energy savings and associated costs for various sectors like cooking, electronics, domestic hot water, and HVAC.

NON-CONFIDENTIAL 1 Table 27: Portfolio Data by End Use - 2018 Incremental Annual Incremental Annual Lifetime Net Incremental Annual First Year Lifetime Avoided CO2 e 2018 Portfolio Total Investment Net Energy Savings Energy Savings Net Dem...

AI summary Table 27 presents portfolio data by end use in 2018, including investment amounts, energy savings, demand savings, and avoided CO2 emissions for various categories such as cooking and laundry, and electronics and information technology.

ics and Information Technology (IT $0.5 1.9 7.5 0.0 $0.252 $0.063 1.2 Domestic Hot Water (DHW) $0.8 6.1 61.9 0.8 $0.130 $0.013 4.0 Heating, Ventilation and Air Conditioning ( $8.9 31.0 646.0 11.3 $0.287 $0.014 20.3 Lighting $15.3 82.3 869....

AI summary The text presents data on energy use and emissions impacts across various categories such as Domestic Hot Water, Heating, Ventilation and Air Conditioning, Lighting, and others. It includes figures in 2018 dollars and notes that emissions intensity is based on 2016 data. The text also references tables for avoided emissions data and mentions that eligible customer and participant count by end use is not available.

des (financing is also an option). A similar process is used for the New Construction Business, Non-Profit and Institutional offering, where energy modeling (via approved consultants) is completed to identify energy reduction opportunities...

AI summary The text describes energy efficiency programs that offer financing options and incentives for energy modeling, upgrades, and compressed air system leak detection. These programs are available for new construction and institutional buildings, with incentives paid based on completed upgrades.

How the program Target customer component’s Customer Eligibility Requirements segments and market Market barriers Marketing strategies design addresses segments market barriers Direct Installation Small Business SBES participants shall mee...

AI summary The Direct Installation Small Business Energy Solutions program targets small-to-medium sized businesses in Nova Scotia, addressing affordability and access to capital through rebates and financing. Marketing strategies include segmented campaigns using mass media, print, digital, and events to reach eligible businesses.

2 3 Page 3, rows 12 through 15 of Appendix A state, “These energy and demand savings 4 targets reflect the trends in both 2016 and 2017. The slight variance from the 2016-2018 5 annual average targets is due to the allocation of $1.0 milli...

AI summary The document discusses the allocation of $1.0 million for demand reduction pilots, established by EfficiencyOne based on stakeholder discussions and trends in capacity-related avoided costs, load growth, and potential Advanced Metering Infrastructure introduction in Nova Scotia.

Avoided Avoided Year Capacity Costs Energy Costs $/kW $/MWh 2015 0 64 2016 0 60 2017 0 58 2018 0 55 2019 418 57 2020 196 60 2021 179 62 2022 190 84 2023 207 85 2024 201 86 2025 215 87 2026 202 89 2027 198 93 2028 195 98 2029 195 102 2030 1...

AI summary The document presents a table outlining avoided capacity costs and energy costs from 2015 to 2034, showing a gradual increase in both metrics over time with significant jumps starting in 2019. This data may be used to analyze cost trends and planning for future energy needs.

E1 (Synapse) IR-19 Page 2 of 2 EfficiencyOne – 2019 Demand Side Management (DSM) Resource Plan M08604 (E-ENS-R-18) E1 Responses to Synapse Energy Economics NON-CONFIDENTIAL 1 Request IR-20: 2 3 Please refer to Tables 2 and 3 on page 2 of A...

AI summary The document provides responses to a request for information on the EfficiencyOne – 2019 Demand Side Management (DSM) Resource Plan, including figures on DSM spending, annual incremental energy savings as a percent of sales, and the lifetime unit cost of incremental DSM.

costs) should be provided at the sub-program level, or the finest level of detail 27 possible; 3 DSM Plan, p. 17. 4 DSM Plan, p. 5-6. Doc. No. 263331 Evidence of Alice Napoleon Page 6 1 • Data tables should be provided in their original, n...

AI summary The 2019 DSM Plan proposes 127.2 GWh annual energy savings (51.2 GWh residential, 76.1 GWh BNI) and 20.2 MW peak demand savings. The text emphasizes data requirements for transparency, referencing E1's filings and reports on energy savings, targets, budgets, and program designs.

2% 12.9% Average 4.9 3.3 4.1% 15.8% 5 DSM Plan, p. 19. 6 ENS 2017 DSM Annual Progress Report, p. 2. Doc. No. 263331 Evidence of Alice Napoleon Page 9 1 Budget 2 Q. Please describe E1’s proposed budget for the 2019 programs. 3 A. As shown i...

AI summary E1 proposes a $34.1 million budget for 2019 programs, aligning with the 2015 Electricity Plan Implementation Act. The budget is divided into residential, BNI, and enabling strategies categories, with specific allocations for rebates, installations, and research. The response references prior reports and the DSM Plan.

Enabling Strategies 0.7 Enabling Strategies Total 4.5 Total 34.1 7 Source: 2019 DSM Plan, p. 18. 8 Cost of Saved Energy 9 Q. Please describe the cost of saved energy for E1’s proposed 2019 portfolio. 10 A. As shown in Table 4, the first-ye...

AI summary E1's 2019 DSM portfolio has a first-year cost of saved energy at $0.268/kWh and a lifetime cost of ~2 cents/kWh, higher than 2016-2018 programs but lower than Synapse's 2016 findings of $0.051/kWh (straight average) and $0.034/kWh (weighted average).

2.2 0.410 0.014 Residential Total 14.2 0.278 0.020 Business, Nonprofit, and Institutional Programs Efficient Product Rebates 5.2 0.160 0.014 Business Energy Rebates 5.2 0.160 0.014 Custom Incentives 6.1 0.176 0.014 Custom 5.3 0.176 0.013 E...

AI summary The text presents a table detailing 2019 DSM Plan savings and investments by program, including Business, Nonprofit, and Institutional (BNI) initiatives like Efficient Product Rebates, Custom Incentives, and Direct Installation. Data includes participation rates and cost metrics, sourced from E1(Synapse) IR-10, Table 1.

Total 34.1 0.268 0.021 2 Source: E1(Synapse) IR-10, Table 1: 2019 DSM Plan Savings and Investment - by Program 3 Component 4 Doc. No. 263331 Evidence of Alice Napoleon Page 12 1 As noted by E1, the difference between this cost of saved ene...

AI summary E1's analysis of the 2019 DSM Plan Savings and Investment highlights that differences in the cost of saved energy compared to 2016-2018 are due to changes in program measure mixes, with program-level unit costs and avoided costs balancing each other. Alice Napoleon's evidence supports this assessment.

ecast Report, Table A3 3 4 Q. What do these forecasts suggest for DSM planning? 5 A. Targeting demand growth with DSM is appropriate in light of peak load growth 6 trends. 7 Q. How do demand savings proposed in the 2019 Plan compare with p...

AI summary E1's 2019 DSM Plan targets lower demand savings (20.2 MW) compared to recent achievements (25 MW annually). A $1 million budget is allocated for 2019 demand reduction pilots, though program designs remain undefined, and no savings are expected from these pilots in 2019.

a from recent market 29 studies was used to adjust the budget and associated savings for lighting versus 30 non-lighting measures. Further, E1’s response to Synapse IR-07, E1 states, 31 “EfficiencyOne does not have lighting saturation info...

AI summary The document discusses the use of lighting penetration and saturation studies in adjusting budgets and savings for lighting versus non-lighting measures. EfficiencyOne (E1) mentions that they use data from socket studies and market transformation analyses but does not describe how the data was applied. There is a suggestion that transparency in the application of such studies should be improved.

easures. 10 Q. Should the transparency of the application of lighting penetration and 11 saturation studies be improved? 12 A. Yes. In E1’s response to Synapse IR-13, E1 states, 13 “EfficiencyOne monitors market trends to understand when a...

AI summary The text discusses the need for improved transparency in the application of lighting penetration and saturation studies, highlighting EfficiencyOne's current practices and the recommendation for a more robust and systematic approach to market transformation metrics in energy efficiency planning.

Request IR-1: - In Table 1 on page 2, the lifetime energy savings listed in the mid-course adjustment - column are significantly different than those in the 2017 results column, even though the - first-year energy savings in both categorie...

AI summary Request IR-1 questions the discrepancy between lifetime energy savings in the mid-course adjustment column and 2017 results in Table 1, noting similar first-year savings but significant long-term differences. The request seeks an explanation for these variances.

Request IR-6: - Regarding appliance retirements, page 14 states that 386 appliances were replaced, and - 33 footnote 12 states that costs for replacements in non-electrically heated homes are paid - by DSM funds. - a) What was the total co...

AI summary The text contains multiple regulatory requests (IR-6 to IR-11) querying details on appliance retirements, DSM program costs, BNI sector changes, Home Warming program overlaps, HST rebate status, and expenditure surpluses. Questions focus on cost allocation, energy savings, program efficacy, and financial accountability.

Request IR-16: - Regarding the electronic technical reference manual, E1 has stated that it will see several - operational benefits through its use in 2019. In particular, two of those benefits are - identified as decreased evaluation effo...

AI summary The document outlines multiple requests (IR-16 to IR-21) directed at E1, seeking quantification of cost reductions from a technical reference manual, clarification on energy savings targets, material changes in supply agreements with NSPI, and responses to evaluator/verifier recommendations. Key themes include cost evaluation, DSM program performance, and contractual changes.

how EfficiencyOne shifted investments between programs and subprograms, and between measures targeting different energy uses in 2019. Document: 262618 Date Filed: May 9, 2018 Synapse (E1) Page 3 of 8

AI summary The document discusses EfficiencyOne's reallocation of investments across programs and subprograms targeting different energy uses in 2019, as detailed in Synapse's filing.

Request IR-20: - 30 Please refer to Tables 2 and 3 on page 2 of Appendix B. Please provide the following charts, - 31 over this same time period (including actuals through 2017, planned for 2018 and proposed for - 32 2019): - 33 a. Spendin...

AI summary The text requests specific data charts from Tables 2 and 3 in Appendix B, including spending, energy savings, unit costs, and avoided emissions over a specified period.

22 Request IR-11: 23 Regarding the measures included in Direct Installation program 24 a. Please supply a table that contains list of measures offered via Direct Installation 25 program for every year during 2016 and 2017. In the same tabl...

AI summary Request IR-11 seeks detailed data on the Direct Installation program, including measures offered, budget spent, energy/demand savings, and unit costs for 2016-2017, along with 2018-2019 estimates. The request focuses on program performance metrics and financial details.

43 3 program and SBES program. 4 5 c. Please confirm what part of the results for Multifamily Housing Pilot program and 6 the regular SBES program were not related to lighting. 7 8 Request IR-13: 9 Please provide the best estimate of the c...

AI summary The text contains several requests related to the Direct Installation program and the Multifamily Housing Pilot program. These requests pertain to cost breakdowns, marketing and outreach programs, and incentive levels for energy efficiency measures included in the 2018 and 2019 DSM plans.

RBIA) by September 30, 2018. 7. E1 is directed to initiate a new DSM Potential Study for completion no later than July 31,2019, to assess the availability of cost-effective DSM measures. 8. E1 is directed to keep the Board apprised of the...

AI summary The Board directs E1 to complete a DSM Potential Study by 2019, improve GHG estimation accuracy, incorporate CO2e emissions into cost-effectiveness analysis, and enhance RBIA and eTRM transparency. E1 must also provide alternate DSM budget scenarios and adhere to standardized filing frameworks, with NSPI conducting rate impact analyses.

) Business Days 4 after mailing. 5 21.3 Either Party may modify its address for notices by advance written notice to the other 6 Party. 7 22. AUDIT AND INSPECTION 8 22.1 EfficiencyOne shall, during the Term and for a period of thirty-six (...

AI summary The document outlines procedures for audit and inspection, data sharing, and coordination meetings under an agreement between EfficiencyOne and NSPI. It specifies that EfficiencyOne must maintain records of EECA activities and allows NSPI to request access to these records through the UARB. NSPI is also granted the right to inspect EECA activities and obtain data for planning purposes.

mation by NSPI, NSPi shall have 26 the right to apply to the UARB to request access to the information and data referred to 27 in 24.1. 28 25. COORDINATION MEETINGS AND REPORTS 29 25.1 During the Term of this Agreement, EfficiencyOne shall...

AI summary The text outlines reporting and coordination requirements between EfficiencyOne and NSPI under an agreement, including quarterly and annual reporting to the UARB, and the importance of ongoing communication for effective planning. The agreement also specifies its renewal terms based on the Act.

h the provisions of the Act. 7 26.2 This Agreement shall extend to, be binding upon and enure to the benefit of the 8 respective successors and permitted assigns of the Parties hereto. 9 26.3 EfficiencyOne will be an independent contractor...

AI summary This legal agreement outlines the terms between EfficiencyOne and Nova Scotia Power Inc., specifying that EfficiencyOne operates as an independent contractor, not an agent of NSPI. The agreement is governed by Nova Scotia and Canadian laws, and includes provisions regarding waivers, jurisdiction, and the importance of timely performance.

Name:-4 Witness Title: u-m^niikcm Per; u. ^ Witness Name: Title: EFFICIENCYONE Per: Name: Witness Title: Per: Witness Name: J Title: 3 4 19 Supply Agreement 1 IN WITNESS THEREOF, the Parties have duly executed this Agreement, in duplicate,...

AI summary The document contains a witness list and a supply agreement between Nova Scotia Power Incorporated and EfficiencyOne. The agreement is signed by both parties and includes witness signatures.