Topic:"Energy Efficiency Resource Assessment Model" in M03452

31 detailed financial records 1  contracts and PDAs 28  customer communication – informing its customers through the Contact 29 Centre, its website, or in other ways, about ENSC's role and the benefits 30 of DSM 1  liaising regularly wi...

AI summary The document outlines the collaboration between NSPI and ENSC in delivering DSM programs, including customer communication, program development, evaluation, and planning. It also highlights challenges related to the 2012 DSM Plan, particularly the increase in energy savings targets.

Small Business Lighting Solutions program, which fell short of its program target by 20%, or 2.8 GWh; and the New Houses program, which fell short of its program target by 66%, or 1.3 GWh. The C&I Custom program nearly achieved its program...

AI summary The 2010 DSM programs in Nova Scotia had mixed results, with some programs falling short of their targets while others showed promise. The Low Income Households program struggled with recruitment, while the BER program is expected to improve in 2011. Legislation mandating HP T8 lighting will affect the SLC program. The Small Business Lighting Solutions program saw increased energy impacts despite missing its target, and the New Houses program can enhance savings with stretch goals.

Program Finding Recommendation New NH-F3. NH-R3. Houses Despite the increased awareness about NH in 2010 from newspaper Continue to build awareness through marketing to homeowners in Program ads or stories (cited by homeowners regarding wh...

AI summary The New Houses Program (NH) received feedback indicating that while awareness increased in 2010, more marketing is needed. Homeowners participated due to energy cost savings, and builders were motivated by energy efficiency benchmarks and market demand. Marketing should continue to emphasize energy savings and the EnerGuide label.

gular communication with builders will also help improve satisfaction with this aspect of program delivery. NH-F12. NH-R12. Prescriptive measures, such as solar hot water heaters and water Solar hot water heaters and water heater tank insu...

AI summary The text discusses the modeling of various energy efficiency measures in HOT2000, including solar hot water heaters, water heater tank insulation, CFLs, and water heater pipe wrap insulation. It highlights inconsistencies in how these measures are modeled and suggests improvements for accurate savings calculations.

rating or energy consumption of program homes. NH-F15. NH-R15. All homes that entered the program in 2010 had to adhere to Nova The code upgrade baseline home (EnerGuide rating of 80) and the Scotia‘s new residential energy code and achiev...

AI summary The document discusses the evaluation of 2010 Demand Side Management (DSM) programs in Nova Scotia, focusing on the energy consumption and EnerGuide ratings of homes participating in the program. It highlights that homes entering the program in 2010 had to meet the new residential energy code and achieve a minimum EnerGuide rating of 80.

Findings and Recommendations for CFLs Findings Recommendations PD:CFL-F4. PD:CFL-R4. As the 2012 date for phase-out of incandescent bulbs gets closer, The PD program should consider offering an incandescent bounty there is likely to be som...

AI summary As the phase-out of incandescent bulbs approaches, the PD program anticipates consumer hoarding and plans to offer rebates for LED bulbs. It also recommends a socket saturation study to better understand lighting usage and diffusion of energy-efficient products in Nova Scotia.

ocessing required since retailers can provide one invoice for all POS rebates. The PD program provides coupons for stores where discounts cannot be automatically rung up at the cash register.  Customer education and outreach. The PD progr...

AI summary The Power Down (PD) program uses coupons and marketing to promote energy-efficient lighting, particularly CFLs. It collaborates with retailers and uses various outreach methods to raise awareness and encourage purchases. The program assumes that marketing efforts will lead to increased sales and installations of energy-efficient products.

ed an average displaced wattage of 47.87—practically identical to the New England displaced wattage parameter of 45.7 Watts. Appendix A includes the displaced wattage validation calculations and data. Table 2-1: Energy and Demand Savings E...

AI summary The document discusses energy and demand savings estimation parameters for CFLs, including displaced wattage, net-to-gross ratio, and annual hours of use, referencing studies from New England and program records. It includes data on program sales and installation rates.

Table 2-3: CFL Component Estimated Energy and Demand Savings Markdown CFLs Gross sales of all ENERGY STAR-CFLs 179,591 Net-to-gross ratio 1.33 Net sales of CFLs 238,856 First year net energy savings at the meter (MWh) 8,545 First year net...

AI summary This table provides an overview of the estimated energy and demand savings from the sale of ENERGY STAR-CFLs (Compact Fluorescent Lamps) across various scenarios, including gross and net sales, first-year and lifetime savings at both the meter and generator levels.

d Assumptions. January, 2010. NMR Evaluation of 2010 Power Down Program Page 18  Quantec (2004). Residential New Construction High Efficiency Appliance Lighting: End of Year Assessment. April, 2004.18  NMR and RLW (2007). Process and Imp...

AI summary The document discusses the evaluation of the 2010 Power Down Program, referencing studies on energy savings from lighting upgrades. It highlights the use of data from the OPA report and an Efficiency Maine evaluation, including assumptions about bulb replacement and usage patterns.

2,025 2,025 Savings per unit (kWh) 181.27 242 Total savings (kWh) 367,072 490,050 4.2 Gross Impacts—Appliances Table 4-3 displays a comparison of the tracked and evaluated savings for ENERGY STAR refrigerators and clothes washers. NMR esti...

AI summary The document evaluates the savings from the 2010 Power Down Program, specifically for ENERGY STAR refrigerators and clothes washers. Nova Scotia Power (NMR) estimated savings at the meter and generator levels, showing a 20% increase compared to tracked estimates, with a line loss factor applied for generator-level calculations.

NMR Evaluation of 2010 Power Down Program Page 72 6 Process Evaluation: Fixtures and Controls 6.1 Program Description The Light Fixtures and Controls (F&C) portion of the 2010 Nova Scotia Power Down (PD) program began on October 1st 2010 a...

AI summary The 2010 Nova Scotia Power Down Program's Light Fixtures and Controls portion exceeded energy savings projections, with significant rebate distributions for various energy-efficient products. A process evaluation involved a telephone survey of 47 chain store managers to assess program effectiveness.

nd November. Although the program was expanded to include independent retailers and extended to December, the program targets remained the same. In the in-depth interview, the program manager at the NMR Evaluation of 2010 Power Down Progra...

AI summary The 2010 Power Down Program was expanded to include independent retailers and extended until December, but its targets remained unchanged. The program's budget was adjusted to accommodate these changes. The evaluation highlights that even without the expansion, the program was likely to exceed its targets based on sales data from one retailer. The document also discusses rebate processing and retailer participation, with most store managers being familiar with stocking patterns and sales trends of rebated items.

tter. Your responses will be kept strictly confidential—that is your name will not be associated with any of your responses. This survey will take about 15 minutes of your time. Would that be okay? [IF REFUSE, ASK ―Can we schedule a more c...

AI summary The text outlines a survey about awareness of the ENERGY STAR™ label and Compact Fluorescent Light bulbs (CFLs), asking respondents about their familiarity and knowledge of these energy-efficient products. It includes specific questions on product availability in local stores.

2. Not familiar 3. Neither familiar nor unfamiliar 4. Somewhat familiar -[SKIP TO Q1] 5. Very familiar - [SKIP TO Q1] 9. Don‘t know / Refused I4. Is there someone else at this store who would be familiar with the stocking patterns or sales...

AI summary The text contains survey questions and response options related to product sales and rebate participation in the Nova Scotia Power Power Down program, which ran from October to November 2010. It also includes a list of products that were eligible for rebates under the program.

er during the October-November promotion period if the $5 Power Down program rebate had not been available? RECORD PERCENTAGE _%; [998 Refused; 999 Don't know/Not sure/Can‘t remember] C. I want to make sure I understand you correctly when...

AI summary This section of the document evaluates the impact of the Power Down program rebate on the sales of electronic baseboard thermostats during the October-November promotion period, asking respondents to estimate sales without the rebate and whether other rebates were offered.

9. Don‘t know / Refused NMR Evaluation of 2010 NSPI Power Down Program Page B55 I4. Is there someone else at this store who would be familiar with the stocking patterns or sales trends for the appliances that you sell? BACKGROUND 1. What i...

AI summary The document is a questionnaire aimed at evaluating the 2010 NSPI Power Down Program. It asks retailers about their participation, product sales, and awareness of the program. The focus is on understanding appliance sales trends and rebate application during the program period.

Tables TABLE 1: 2010 PROGRAM ENERGY AND DEMAND SAVINGS ..................................................................... I TABLE 3-1: CALIFORNIA ARP LAB-TO-ON-SITE DIFFERENCES FOR “COOL” CLIMATE ZONES .....................................

AI summary The text lists various tables related to energy and demand savings, appliance consumption estimates, and energy efficiency program evaluations. These tables provide detailed data on appliance retirement programs, energy consumption, and savings calculations.

Program Logic Model NMR Evaluation of 2010 Appliance Retirement & Replacement Programs Page 10 3 Impact Evaluation 3.1 Methodology for Refrigerators and Freezers This section describes the methodology and calculations used by NMR to calcul...

AI summary This section outlines the methodology used by NMR to calculate energy savings from the Appliance Retirement and Replacement program for refrigerators and freezers, including the use of AHAM data, adjustments for device degradation and field performance, and the calculation of adjusted gross savings.

341 1,405 706 706 Annual energy 1,437 1,001 1,106 1,005 consumption (kWh/year) Based on the consumption estimates and number of units listed in Table 3-2, the tracking database reported program savings of 4,841 MWh at the meter and 5,416 M...

AI summary The text presents data on energy savings from an appliance retirement program, including meter and generator-level savings. It also outlines participant categories for refrigerators and freezers, with a focus on secondary appliances. NMR Group evaluated program impacts based on participant surveys and secondary research.

develop a weighted annual energy consumption estimate for both conventional and ENERGY STAR dehumidifiers. Specifically, the study looked at six capacity classes of dehumidifiers, all with varying energy factors, and developed annual consu...

AI summary A study estimated annual energy consumption for conventional and ENERGY STAR dehumidifiers using data from the FOE report and the DSM Administrator. The study used a weighted approach based on market share in Wisconsin and operating time assumptions, highlighting differences in capacity and energy factors between studies.

line with the program‘s current assumptions than the OPA report. 2) Energy factors for conventional dehumidifiers range from 1.1 to 1.9 in the FOE report. Again, these values are more in line with the program‘s estimate of 1.182 for any re...

AI summary The document compares the FOE report's energy factor estimates for dehumidifiers with those of the program and the OPA report. It highlights discrepancies in energy factor values and operating time estimates, and outlines the DOE-based calculation used to determine dehumidifier energy consumption.

laimed savings. NMR Evaluation of 2010 Existing Houses Program Page II

AI summary The document evaluates the 2010 Existing Houses Program, focusing on claimed savings and energy efficiency initiatives. It is associated with Nova Scotia Power and Conserve Nova Scotia.

NMR Evaluation of 2010 Existing Houses Program Page IV Program Design & Delivery (continued) Findings Recommendations EEH-F6. EEH-R6. The EEH program has both resource acquisition and market In order to achieve its market transformation go...

AI summary The EEH program aims to achieve both resource acquisition and market transformation goals. Proper contractor training is essential to ensure energy efficiency measures are installed correctly and to encourage the recommendation of energy-efficient products and services.

peratures were more even throughout their homes impact that program upgrades can have on the comfort levels in (71%) and that there were fewer drafts (29%) in their homes. their homes. EEH-F13. EEH-R13. The Measure Effectiveness Index reve...

AI summary The text discusses the effectiveness of various energy efficiency measures in the 2010 program, noting that electronic thermostats and high-efficiency heat pumps were particularly effective, while certain ETS measures were less effective. It also mentions improved comfort and reduced drafts in homes after program upgrades.

ent savings estimates for every prescriptive The new program should consider coordinating with any new measure that is sponsored by the existing and new houses houses program to maintain consistency with regards to programs. Savings estima...

AI summary The document discusses prescriptive savings estimates for energy efficiency measures in existing and new houses programs. It highlights discrepancies in savings estimates between the two programs and calls for clarity in how these estimates are developed and calculated.

of optional upgrades. The data is also uploaded to NRCan for review and validation. Retrofit Activities After the pre-retrofit evaluation, homeowners have 18 months to complete any suggested upgrades and schedule a post-retrofit evaluation...

AI summary The 2010 Existing Houses Program involves homeowners completing retrofit upgrades within 18 months of a pre-retrofit evaluation. NRCan validates data and supports the program administratively, while HOT2000 software calculates savings and assigns EnerGuide ratings. Homeowners are eligible for federal and provincial rebates after post-retrofit evaluations.

 Skills and equipment. Delivery Agents have the equipment, tools and skills required to complete evaluations of participating homes or they can contract for such services.  Understanding of savings. Homeowners will understand the energy...

AI summary The text outlines key aspects of a home energy efficiency program, including the skills and resources required for successful implementation, the expected energy and financial savings for participants, and potential barriers such as lack of awareness, cost concerns, and training needs. It also highlights short-term outcomes like increased participant awareness.

vings reduce the need for new generation. NMR Evaluation of 2010 Existing Houses Program Page 6 1.2 Logic Model Figure 1-1: EnerGuide Existing Houses Program Logic Model NMR Evaluation of 2010 Existing Houses Program Page 7 2 Impact Evalua...

AI summary The evaluation of the 2010 Existing Houses Program assesses energy savings by comparing pre- and post-audit data from 87 homes. The study calculates savings per EnerGuide point and applies these values to the program's tracking database. The program reported 1,516 participants with 9.72 GWh of meter savings and 10.88 GWh of generator savings in 2010.

Wh of energy savings at the meter and 10.88 GWh of energy savings at the generator. (Table 2-1)[10][11] Generator savings were calculated by applying a line loss factor of 1.1188 to the meter savings. Table 2-1: Tracking Database Savings—2...

AI summary The document discusses energy savings calculations for a demand-side management program in 2010, distinguishing between savings at the meter and generator levels. It mentions the use of EnerGuide point savings and prescriptive measure savings to estimate total energy savings, referencing the Low Income Houses program and specific savings values.

ETS central hydronic system 45 ETS room unit 10 The prescriptive savings were added to the EnerGuide point savings. The equation below gives an example of how savings would have been calculated for a project that had a D pre-audit EnerGuid...

AI summary The document discusses the calculation of energy savings from the EEH program using EnerGuide ratings and prescriptive measures such as programmable thermostats and ETS room units. It also provides average pre- and post-audit EnerGuide ratings and the frequency of installed measures.

pacts of the program. These results were matched to the difference in EnerGuide ratings to calculate a value for the relationship between the EnerGuide point differential and the savings differential. 13 There were 156 projects in the trac...

AI summary The evaluation of the 2010 Existing Houses Program analyzed the relationship between EnerGuide ratings and energy savings, noting that 156 projects lacked D audit EnerGuide ratings and that participants typically installed 1.26 programmable thermostats per home, often due to the prevalence of electric baseboard heating.

Eleven of the participating projects that were sampled had undergone a fuel switch, most often from heating oil to electric based heat. In all 11 cases, the participating project had converted their primary heating system from a non-electr...

AI summary Eleven projects in the sample had switched from heating oil to electric heat pumps, leading to higher electricity consumption and negative savings. These projects were excluded from the EnerGuide point savings analysis. Five additional projects were excluded due to missing EnerGuide ratings, leaving 71 projects for analysis. The sampled projects showed similar results to the rest of the program in terms of EnerGuide ratings.

ings between the pre- and post-audits was almost the same for the sampled projects (6.0) and the rest of the program‘s projects (6.2). These results suggest that the sampled projects reasonably represent the rest of the program. Table 2-3:...

AI summary The audit results show minimal differences between sampled projects and the rest of the program, indicating that the sampled projects are representative. Key measures like programmable thermostats and insulation show slight variations, but most are not statistically significant. EnerGuide ratings are slightly higher for sampled projects.

5.1 Average E Audit EnerGuide rating 73.1 71.2 Indicates differences that are significant at the 90% confidence interval For each project, we calculated the overall electricity savings between the pre- and post-audits and the difference in...

AI summary The evaluation of the 2010 Existing Houses Program calculated an average per EnerGuide point savings of 1,047 kWh based on 71 projects, with a total EnerGuide rating point difference of 428 and total savings of 448,102 kWh.

2.4 Prescriptive Savings As previously mentioned, the total program savings listed in the program‘s tracking spreadsheet were calculated by adding the prescriptive savings values listed in Table 2-2 to a per EnerGuide point savings estimat...

AI summary The document discusses the method used to calculate program savings, highlighting the potential for double counting when certain measures are included in both HOT2000 modeling and prescriptive savings. To address this, only four measures were assigned prescriptive savings, while others were captured in a fixed energy savings value per EnerGuide point increase.

sumption of the model, thus removing any possibility of double counting.18 Water heater pipe wrap insulation could not be modeled in HOT2000 so we assumed prescriptive savings should be applied to that measure as well. 17 HOT2000 is the so...

AI summary The text discusses the evaluation of the 2010 Existing Houses Program, noting that certain energy efficiency measures, such as water heater pipe wrap insulation, could not be modeled in HOT2000. Prescriptive savings were applied to these measures, and it was found that all four measures had no impact on the EnerGuide rating or energy consumption of the model.

2.5 2010 Program Impacts To calculate the impacts of the 2010 existing houses program, the NMR team applied the evaluated EnerGuide point savings value of 1,047 kWh, and the prescriptive savings values for drain water heat recovery measure...

AI summary The 2010 existing houses program's impacts were calculated using EnerGuide point savings values and prescriptive savings for various energy efficiency measures. Adjustments were made based on secondary research and the new houses program's prescriptive values, with special handling for homes that underwent fuel switches.

ater pipe wrap insulation 122 74 Evaluated prescriptive savings only were applied to the 48 participants that underwent a fuel switch Excepting the 48 participants who had undergone a fuel switch, all the other participants had the prescri...

AI summary The evaluation of the 2010 Existing Houses Program in Nova Scotia indicates that the program saved 9,571 MWh at the meter and 10,708 MWh at the generator, while tracking estimates were 2% higher. Prescriptive savings were applied to participants who underwent a fuel switch, and assumptions were made about water heating systems due to missing data.

Table 2-6: Comparison of Detailed Tracking and Evaluated Savings Estimates Tracking Savings Evaluated Savings Estimate Number of Estimate (MWh) (MWh) Projects Meter Generator Meter Generator EnerGuide rating 1,46824 8,288 9,272 9,418 10,53...

AI summary Table 2-6 compares detailed tracking and evaluated savings estimates for various energy efficiency programs, showing the number of projects and corresponding savings in MWh for both meter and generator categories.

16, 2003 NMR Evaluation of 2010 EnerGuide for Existing Houses Program Page 18 2.7 Energy Savings Estimation Table 2-11 presents the final estimates of savings for the EEH program including the impact of free- ridership. The evaluated energ...

AI summary The evaluation of the 2010 EnerGuide for Existing Houses (EEH) program shows that energy savings exceeded the program's goals, with 7,274 MWh at the meter and 8,138 MWh at the generator, and demand savings of 1,943 kW at the meter and 2,174 kW at the generator. This was calculated using a line loss factor of 1.1188 and accounted for free-ridership.

g and articles in publications. NMR Evaluation of 2010 EnerGuide for Existing Houses Program Page 21 3.3.2 Contractor Training and Contractual Relationships The Delivery Agents have contracts with the Province of Nova Scotia (via CNS) to o...

AI summary The EEH program in Nova Scotia relies on Delivery Agents who have contracts with the Province via CNS and NRCan. Customer responsibility for selecting contractors is highlighted as a potential gap, and Delivery Agents report increased burdens due to quality assurance requirements and reduced participation.

ance requirements and data tracking forms; the other indicated that the decrease in overall participation had resulted in participants being more spread out, which increased travel distances and time. 3.4.2 On-Site Visits NMR conducted two...

AI summary The document discusses findings from on-site visits conducted by NMR during the evaluation of the 2010 EnerGuide for Existing Houses Program. The visits highlighted the professionalism of contractor services and the effectiveness of energy audits, with one customer noting a reduction in their electric bill after program measures were installed.

he measures rebated by the program. NMR Evaluation of 2010 EnerGuide for Existing Houses Program Page 22 3.5 Program Tracking and Reporting Delivery Agents were responsible for using the HOT2000 software from NRCan to create audit reports...

AI summary The document discusses the tracking and reporting processes for the 2010 EnerGuide for Existing Houses program, highlighting issues with information sharing between NRCan, CNS, and the DSM Administrator. It also notes that consolidation under the new Efficiency Nova Scotia Corporation (ENSC) may help resolve these issues.

isfied 9 13 Dissatisfied 5 5 Don‘t know 5 10 In an on-site visit where NMR accompanied the Energy Advisor to an ―E‖ audit, the customer remarked that they had observed an immediate and substantial difference in their electric bill as a res...

AI summary The evaluation of the 2010 EnerGuide for Existing Houses Program found that 41% of participants believed the EEH program should offer rebates for additional upgrades, ranging from renewable power to energy-efficient appliances.

3 4 5 9 10i. The rebates provided by the program for 1 2 3 4 5 9 electric space and water heating measures 11. [IF Q10a = 4 or 5 or Q10f=4 or 5] You indicated that you were not satisfied with the first and/or final energy audit was that wa...

AI summary The text includes survey questions related to customer dissatisfaction with energy audits and verification of energy efficiency upgrades. It focuses on reasons for dissatisfaction and whether specific electric heating measures were recommended.

at times are you not busy enough? How does this affect your business? 13. Would you be able to handle more business from the program if it became available? Program Tracking and Reporting 14. Please describe the tracking and reporting data...

AI summary The text discusses program tracking and reporting requirements for the EnerGuide for Existing Houses Program, focusing on data collection, submission frequency, and the effort required to fulfill these requirements. It also asks about the effectiveness of the tracking and reporting process and whether all necessary data is being captured and shared with Conserve Nova Scotia.

............ 9 2.4 DEVELOP REPRESENTATIVE CONTROL GROUP............................................................................................... 10 2.5 TEMPERATURE NORMALIZE BILLING INFORMATION ..........................................

AI summary The document outlines a methodology for developing a representative control group, temperature normalizing billing information, and quantifying energy impacts using approaches such as the Augmented Comparison Approach (PRISM) and the Regression Approach. It also discusses process evaluation through in-depth interviews, participant surveys, and sampling error analysis.

sumption, the LIH program is higher than the PECO study (5.6% and 7.4%) but less than the 2010 CT Low Income study (12.4%), which were the only two studies identified that provided such a benchmark. Table 2-9: Comparison of Savings to Othe...

AI summary The document compares the savings of the LIH program with other jurisdictions. The LIH program's savings are higher than the PECO study but lower than the 2010 CT Low Income study. The table provides a detailed comparison of savings across different programs and jurisdictions.

3.7 Program Tracking and Reporting The REAP program collects data from customers regarding their energy usage before and after participation in the program. This is done by asking the homeowners to sign a waiver that allows CNS and the DSM...

AI summary The REAP program tracks energy usage before and after upgrades through customer data collection and EnerGuide evaluations. Delivery Agents submit monthly tracking sheets and invoices to CNS, though a unique identifier for participants has not been assigned. The program maintains records of energy savings and greenhouse gas reductions, but details on implemented measures are currently in hard copy.

(NAC). The PRISM algorithm develops a mathematical model that represents the temperature to energy consumption relationship. The standard, Heating-Only version of this model is shown in Equation 3. NMR Evaluation of 2010 Low Income Househo...

AI summary The PRISM algorithm creates a mathematical model linking temperature to energy consumption. It uses a heating-only model with parameters to estimate average daily consumption based on degree days. The model identifies optimal reference temperatures for each customer to linearize the relationship between usage and degree-days, and estimates normalized annual consumption using a typical year's degree days.

ormalized Annual Consumption (NAC) 21 NAC=365 + DDo() Where: DDo is the number of degree days expected in a typical year. When this model is applied to a home‘s heating characteristics, it is referred to as the heating only model (HOM)....

AI summary The document discusses the Normalized Annual Consumption (NAC) model, which calculates annual energy consumption based on degree days. It also describes the adaptation of the PRISM methodology to account for both heating and cooling loads in electric consumption analysis, using a model that incorporates heating degree days (HDD) and cooling degree days (CDD).

As with the standard PRISM procedure, the optimal heating and cooling model is determined by calculating the regression models assuming various reference temperature values (1 and 2). Expected annual degree-days are applied to the optima...

AI summary The text discusses the PRISM procedure for calculating normalized annual consumption (NAC) using regression models with varying reference temperatures. It explains how the standard PRISM approach uses billing cycle data, but notes that varying cycle lengths can introduce bias in base load estimates. The augmented PRISM method addresses this by using daily usage and degree-days to eliminate bias.

Therefore, the model that minimized the MSE was chosen as the optimal model to represent the temperature versus usage relationship. Lastly, in an effort to obtain the most accurate models possible, a system of re-analyzing poor performing...

AI summary The text discusses the methodology for selecting optimal models to represent the temperature versus usage relationship by minimizing MSE and R2 statistics. It also outlines the Augmented Comparison Method (PRISM) used in evaluating the LIH program's energy impact, involving normalization of bills and comparison between participant and control groups.

s using a representative control group and simple equations. After the normalization of the participant and control group bills (see Temperature Normalization Methodology), the difference between the pre-program and post-program NACs were...

AI summary The text describes the use of a control group and normalization methodology to calculate energy savings from a program. It outlines the use of Equation 6 to determine gross energy savings and Equation 7 to adjust for exogenous influences by comparing pre- and post-program normalized annual consumption (NAC) values.

form of this model is shown in Equation 8. Equation 8 - The Simple Regression Model NACpost,i = 0 + 1 NACPre,i + 2 Pi + i Where: NACpost,i = Post Installation Normalized Annualized Consumption for customer i NACpre,i = Pre Installation...

AI summary The text discusses the development of a regression model to evaluate the impact of energy efficiency programs on normalized annual consumption. The model uses pre- and post-installation consumption data and a participation indicator variable to assess savings. The final model incorporates an interaction term between the participation variable and pre-installation consumption.

Page A7 Equation 9 - The Final Regression Model NACpost,i = 0 + 1 NACPre,i + 2 Pi NACPre,i + i

AI summary This text presents Equation 9, which is the final regression model used to analyze the relationship between pre- and post-intervention energy consumption, incorporating variables such as NACPre,i and Pi.

Step 2: Regression Diagnostics As a result of the residual standard deviation related to the size of the customer's energy usage, one regression assumption most often violated is that the standard deviation of the error terms, (or "residua...

AI summary This text discusses regression diagnostics and the issue of heteroscedasticity in statistical models used for analyzing program impacts. It explains that when residual standard deviations are related to predicted values, the model becomes heteroscedastic, violating a key regression assumption. To address this, a Weighted Least Squares (WLS) approach is used to improve the accuracy of the regression analysis.

a) Under a properly specified heteroscedastic model, WLS yields the best linear unbiased estimates of the true parameters and, b) WLS gives an unbiased estimate of the variance of the estimators, providing appropriate confidence intervals...

AI summary The text discusses the use of weighted least squares (WLS) in statistical modeling, emphasizing its advantages in providing reliable estimates under heteroscedastic conditions. It outlines a procedure to select the best model by testing different candidates for the heteroscedasticity parameter and minimizing the root mean square error (RMSE).

e the RMSE to find the best choice of z and use this particular WLS regression to obtain the best estimate of savings. During this step, a residual analysis is performed. If heteroscedasticity is suspected, the models are estimated using W...

AI summary This text describes a statistical methodology involving WLS regression and residual analysis to estimate energy savings. It references academic sources and mentions an evaluation of a 2010 Low Income Households program, including survey results showing 100% of respondents lived in the same house during the program.

................................................................................. 33 4.1 METHODOLOGY ...............................................................................................................33 4.1.1 In-depth Interview...

AI summary The document outlines the methodology for evaluating the impact and process of the 2010 New Houses Program, including in-depth interviews and participant surveys. NMR Group, Inc. is mentioned as an entity involved in the evaluation.

TABLE 4-6: MOST IMPORTANT REASON FOR PARTICIPATING ................................................... 38 TABLE 4-7: OTHER REASONS FOR PARTICIPATING ................................................................... 39 TABLE 4-8: CONCERNS...

AI summary The text lists a series of tables related to participant motivations, concerns, and experiences with the New Home (NH) program, including factors influencing participation, comfort and energy bill impacts, and builder awareness of energy efficiency requirements.

................................ 13 NMR Evaluation—2010 New Houses Program Page 1 1 Executive Summary This report presents the results of the process and impact evaluation of the 2010 New Houses (NH) program conducted by NMR Group, Inc. (N...

AI summary This report evaluates the 2010 New Houses program by NMR Group, Inc. for Nova Scotia Power and Efficiency Nova Scotia Corporation. The evaluation highlights changes due to new building codes and organizational shifts, including the transition of the DSM portion to ENSC and impacts from NRCan's withdrawal from the EnerGuide for Existing Houses program.

NH-R14. Water heater pipe wrap insulation could not be modeled in HOT2000. It is appropriate to add prescriptive savings for water Drain water heat recovery measures and programmable thermostats heater pipe wrap insulation, thermostats and...

AI summary The text discusses the modeling of energy efficiency measures in the HOT2000 program, the EnerGuide rating requirements for homes in Nova Scotia, and administrative considerations for the NH program. It highlights that some measures, like water heater pipe wrap insulation, cannot be modeled in HOT2000, while others, like programmable thermostats, do not affect energy consumption. The EnerGuide rating of 80 is a baseline for new homes, and program participants can benefit from rebates by increasing their ratings.

2.1 Program Description The NH program was administered by Conserve Nova Scotia (CNS). The DSM Administrator joined the program in 2009 by adding incentives for specific measures. The new independent program administrator, Efficiency Nova...

AI summary The NH program, administered by Conserve Nova Scotia and later by Efficiency Nova Scotia Corporation, provides rebates for energy efficiency upgrades in new homes, including heat pumps, thermal storage systems, and water heating improvements. The program involves certified Energy Advisors and Delivery Agents to evaluate and implement upgrades.

outreach efforts.  Energy Evaluators identify energy saving opportunities. The reports from the modeling of the house plans that are provided to customers identify energy savings opportunities and help inform participants about what they...

AI summary The 2010 New Houses Program encourages energy efficiency in new homes through outreach, energy evaluations, and incentives. Builders and developers are motivated to use energy-efficient materials and equipment, and rebates can be transferred to builders to reduce upfront costs for homeowners.

vings estimates for 2010 were 1,700 MWh at the meter and 1,900 MWh at the generator. (Table 3-1) Savings at the generator were calculated by applying a line loss factor of 1.1188 to the meter savings. Table 3-1: Tracking Database Savings—2...

AI summary The document provides energy savings estimates for the 2010 New Houses Program, with 1,700 MWh savings at the meter and 1,900 MWh at the generator. Savings were calculated using EnerGuide ratings and a line loss factor. The evaluation used HOT2000 software and excluded three homes that had not yet been invoiced.

lculations. NMR Evaluation—2010 New Houses Program Page 15 value of 611 kWh per EnerGuide point was applied to the difference in EnerGuide ratings. 11 In addition, the program savings also included a host of prescriptive measures whose sav...

AI summary The document evaluates the 2010 New Houses Program, calculating energy savings based on EnerGuide ratings and prescriptive measures. Specific measures and their annual savings in kWh are listed in Table 3-2.

74 Programmable electronic thermostat 643 13 watt CFL compatible fixtures 43 NMR validated the prescriptive savings listed in the tracking spreadsheet through a review of the 2009 Low Income Households (LIH) report and the Ontario Power Au...

AI summary NMR reviewed the prescriptive savings values in the tracking spreadsheet, adjusting the annual savings for programmable thermostats and CFL fixtures based on reports from 2009 and 2010. Adjustments were made to align with more conservative estimates and recommendations from the LIH report.

of how savings would be calculated for a participating home that received an EnerGuide rating of 80, installed a solar domestic hot water heating system, and installed two programmable thermostats: 11 NMR (2010). Impact and Process Evaluat...

AI summary The text discusses the calculation of energy savings for homes participating in an energy efficiency program, including the installation of a solar domestic hot water heating system and programmable thermostats. It references evaluations by NMR and the Ontario Power Authority.

eboard heating systems. NMR Evaluation—2010 New Houses Program Page 16 Calculating savings in this manner allowed for double counting as some of the prescriptive measures could also be modeled in HOT2000. For example, if a solar hot water...

AI summary The document discusses the evaluation of the 2010 New Houses Program, focusing on the calculation of energy savings and the potential for double counting due to overlapping measures in the HOT2000 model. Two baseline homes were developed to account for different building code periods.

two baseline homes, one to address program homes permitted before December 31, 2009 (updated baseline home) and another to address homes permitted after December 31, 2009 (code upgrade baseline home). 3.2.1 Updated Baseline Home NMR estima...

AI summary NMR updated the baseline home model to reflect average building dimensions from a sample of 25 homes, addressing a six-month lag between home permits and construction. The updated model was used to assess the impact of energy efficiency measures on EnerGuide ratings and energy consumption using HOT2000 version 10.51.

erage EnerGuide rating (83.5) than all other participating projects (82.4). These results suggest that the sampled projects may have been slightly larger in size than the remaining program projects.16

AI summary The sampled projects had a higher average EnerGuide rating (83.5) compared to other participating projects (82.4), indicating that the sampled projects may have been slightly larger in size than the remaining program projects.

higher annual energy consumption for the updated baseline home compared to the 2009 baseline home. The 2009 baseline home had an EnerGuide rating of 73 and an annual energy consumption of 29,172 kWh.

AI summary The text compares the energy consumption of an updated baseline home with that of a 2009 baseline home, noting the higher annual energy consumption of the updated home. The 2009 baseline home had an EnerGuide rating of 73 and an annual energy consumption of 29,172 kWh.

Table 3-4: Updated Baseline Home Characteristics Average Participating Updated Gross Area (ft2) Home-2010 Baseline Sample Size 25 25 Ceiling 1,263 1,263 Main wall18 2,028 2,030 Door 83 82 Exposed floor 172 172 Windows 277 277 Floors above...

AI summary Table 3-4 presents updated baseline home characteristics, including average gross area, construction details, and energy ratings for participating homes and the updated baseline. The table highlights minor differences in measurements and an EnerGuide rating of 83.5 for participating homes compared to 74 for the baseline.

23,789 EnerGuide rating 83.5 74 Annual Electricity Consumption (kWh) 22,994 33,740 3.2.2 Code Upgrade Baseline Home As previously mentioned, NMR assumed that there was a six month lag between the time a home was permitted and the time that...

AI summary NMR assumed a six-month lag between home permits and completion, leading to the creation of a code upgrade baseline home for homes built after June 30, 2010. This home was modeled to meet new code requirements, including insulation and equipment efficiency standards.

leted. NMR Evaluation—2010 New Houses Program Page 19 compares the insulation and efficiency characteristics of the updated baseline home and the code upgrade baseline home. NMR modeled the code upgrade baseline home to have an EnerGuide r...

AI summary The text compares the energy consumption of two baseline homes under different code upgrades. The code upgrade baseline home has an EnerGuide rating of 80 and consumes 26,605 kWh annually, while the updated baseline home consumes 33,740 kWh annually, showing a difference of 7,135 kWh.

3.3 Incremental EnerGuide Point Savings In 2009, NMR recommended a savings value of 611 kWh per EnerGuide point. As part of our 2010 evaluation NMR sought to update this value based on a sample of 25 program homes. To update the per EnerGu...

AI summary In 2010, NMR updated the EnerGuide point savings value from 611 kWh to 1,131 kWh per point, based on a sample of 25 homes. This increase was due to larger building components and improved efficiency in the 2010 homes compared to 2009, leading to higher energy savings.

,611 1,032 NMR Evaluation—2010 New Houses Program Page 22 3.4 Program Impacts The NMR team applied the new per EnerGuide point savings for each of the baseline homes to the tracking data to develop impact estimates for the 2010 new houses...

AI summary The NMR team evaluated the 2010 New Houses Program by applying updated EnerGuide point savings to baseline homes. Two different baseline homes were used: one with an EnerGuide rating of 74 for homes built between January and June 2010, and another with a rating of 80 for homes built between July and December 2010. Table 3-8 compares the EnerGuide ratings and savings estimates used.

plied to the EnerGuide for Existing Houses program.31 Table 3-9 compares the prescriptive savings estimates applied in the program‘s tracking database to the estimates applied for our impact analysis. 30 Within our sample of 25 projects, w...

AI summary The document compares tracked and evaluated electricity savings from the 2010 New Houses Program. NMR estimates that 260 homes saved 1,321 MWh, while the tracking database estimated 1,702 MWh, a 29% difference. Table 3-9 and Table 3-10 highlight discrepancies in savings estimates for various prescriptive measures.

As of January 17, 2011, the 2010 new houses program had a total of 260 participants resulting in an estimated 1,321 MWh of gross savings at the meter and 1,478 MWh at the generator. Initial demand estimates for the new houses program were...

AI summary The 2010 new houses program had 260 participants, resulting in estimated energy savings of 1,321 MWh at the meter and 1,478 MWh at the generator. Initial demand savings estimates were based on an energy-to-demand ratio of 6.8, later validated by an updated analysis with a ratio of 7.5. Adjustments were made to include ETS units, leading to total demand savings of 1,574 kW at the meter and 1,761 kW at the generator.

project consumption (kWh) 24,986 27,310 Average Savings (kWh) 8,753 1,619 8,328 1,489 3.5.2 Model Differences While the savings calculated using both HOT2000 and REM/Rate were similar, there were inherent differences in the two software pa...

AI summary The evaluation of the 2010 New Houses Program highlights differences in energy consumption modeling between HOT2000 and REM/Rate. REM/Rate showed 9% higher annual energy consumption due to factors like duct leakage modeling and limitations in extracting window characteristics from HOT2000 data.

efficiency. NMR Evaluation—2010 New Houses Program Page 26 lower in REM/Rate, decreasing the solar gain of the model and increasing the heating consumption.35 3) REM/Rate adjusts the estimated electricity consumption of lights and applianc...

AI summary The document compares the REM/Rate and HOT2000 models used in the 2010 New Houses Program, noting differences in solar gain calculations, electricity consumption estimates based on home size, and model accuracy due to data extraction methods and assumptions.

have been slightly inaccurate. Other factors that may have led to differences in the models include differing weather data, different water heating assumptions, and different internal calculations.37 3.6 Heat Pumps NMR conducted an analysi...

AI summary The text discusses the impact of heat pumps on EnerGuide ratings in Nova Scotia homes. Adding an air source heat pump increases the EnerGuide rating from 80 to 84, and a ground source heat pump increases it to 85. This suggests that participation in the NH program may be driven by incentives for installing heat pumps.

er comparison was not done. NMR Evaluation—2010 New Houses Program Page 32 Table 3-17: Free-ridership by EnerGuide Rating 2010 Builders Homeowners Total Sample size 4 43 47 All respondents greater than or equal to EG80 79% 52% 54% Responde...

AI summary The 2010 New Houses Program's energy savings were estimated at 680 MWh and 810 kW of demand, after accounting for a free-ridership rate of 54%. These results fell short of the energy savings target of 2.0 GWh but exceeded the demand savings target of 640 kW.

1 1 Program Delivery Agent: Nova Scotia Home Builders 8 8 α Association R-2000 Manager 1 1 2 α Nova Scotia/Ideal new home 1 1 2 α show Letter (unspecified source) 1 1 Nova Scotia government 1 1 website Conserve Nova Scotia website 1 1 Prev...

AI summary The document presents data on the delivery of the EnerGuide for New Houses Program in Nova Scotia, including the involvement of various entities such as the Nova Scotia Home Builders Association and Conserve Nova Scotia. It highlights differences in responses compared to a 2009 sample, indicating significant changes in program delivery and participant engagement.

1 1 energy efficiency programs Energy efficiency 3 1 4 Already using many components/practices of the 1 1 program For expert advice about measures to install or how to make home 1 1 more energy efficient Option through R2000 1 1 Make house...

AI summary The text discusses energy efficiency programs, including the EnerGuide for New Houses Program, and highlights components such as expert advice, home improvements, and marketing tools. It also mentions the Nova Scotia Department of Natural Resources (NMR) as an entity involved.

21 25 Had concerns about NH 1 1 1 1 prior to participation 4.6.2 Delivery Agent Perspectives Starting in January 2010, Nova Scotia building code required all new homes to have an equivalent minimum EnerGuide rating of 80. Builders or homeo...

AI summary The document discusses perspectives on the Nova Scotia New Homes (NH) program. Builders and homeowners were motivated by the EnerGuide 80 requirement, but some were confused or put off by the performance-based approach. Program staff noted that builders were less motivated by rebates since they went to homeowners, and confusion arose after NRCan stopped supporting EEH, leading to more promotion of the NH program.

rebates and technical assistance provided by the program. 48 Note that skylights would likely reduce the energy efficiency of the house, and thus the EnerGuide rating, rather than increase it. NMR Evaluation—2010 EnerGuide for New Houses P...

AI summary The document discusses the impact of skylights on the energy efficiency of a house, noting that they may reduce the EnerGuide rating. It references the 2010 EnerGuide for New Houses Program and is associated with the Nova Scotia Department of Natural Resources (NMR).

ather than increase it. NMR Evaluation—2010 EnerGuide for New Houses Program Page 43

AI summary The document discusses the evaluation of the 2010 EnerGuide for New Houses Program, focusing on its effectiveness and outcomes. It is associated with the Nova Scotia Department of Natural Resources (NMR).

on with program elements such as the first review, ease of review process, and the report received about house plan‘s current efficiency; they did not specify the reasons for their dissatisfaction. NMR Evaluation—2010 EnerGuide for New Hou...

AI summary The document provides evaluation data on the 2010 EnerGuide for New Houses Program, focusing on satisfaction levels of builders and homeowners with aspects such as the first review of house plans, scheduling, competence of energy advisors, ease of the review process, and reports on house plan efficiency.

e information to their customers. NMR Evaluation—2010 EnerGuide for New Houses Program Page 51

AI summary The document discusses the evaluation of the 2010 EnerGuide for New Houses Program, highlighting the role of the Nova Scotia Department of Natural Resources (NMR) in providing energy efficiency information to customers.

4 Independent 13 4 Part of a larger company In 2010, three of the four builders had been in the residential homebuilding industry more than 20 years; one builder had been in the industry two years. These builders reported having built betw...

AI summary The text discusses the experience of builders in Nova Scotia's residential homebuilding industry, noting that most have been in the industry for over 20 years and built between six and twelve new residential housing units in the past two years. It also highlights that over 80% of homeowners in the 2010 EnerGuide for New Houses Program live in detached single-family homes.

ple, 19 of 43 were between ages 35 and 44, seven were between ages 45 and 54, and nine between ages 55 and 64. Three homeowners were over 65 years old and four were between ages 25 and 34. (Table 5-9) Table 5-9: Respondent Age Owners 2009...

AI summary The 2010 EnerGuide for New Houses Program evaluation shows that 31 out of 43 homeowners had college or university degrees. The age distribution of respondents is also presented, with the majority aged between 35 and 44.

—2010 EnerGuide for New Houses Program Page 57 The majority (31 of 43) homeowners in the 2010 sample had earned college or university degrees. (Table 5-10) Table 5-10: Education Attained Owners 2009 2010 Sample size 10 43 Less than high sc...

AI summary The 2010 EnerGuide for New Houses Program sample showed that most homeowners had college or university degrees, with significant differences from the 2009 sample. Two-fifths of the 2010 sample had incomes of $80,000 or more, while some refused to disclose their income.

m overall 1 2 3 4 5 9 k. The rebates provided by the program for 1 2 3 4 5 9 electric space and water heating measures 18. [IF Q17a = 4 or 5; OTHERWISE SKIP TO Q20] You indicated that you were not satisfied with the first review of the hou...

AI summary The text includes survey questions related to customer dissatisfaction with energy efficiency reviews and upgrades, specifically focusing on the EnerGuide for New Houses Program. It asks participants to identify reasons for dissatisfaction and whether they declined recommended upgrades.

3. R-2000 4. (don‘t know) NMR Evaluation—2010 EnerGuide for New Houses Program Page A12 FR10. Before the code went into effect, about what percentage of your houses were constructed to meet or exceed the standards now required by the new c...

AI summary The document contains survey questions related to the 2010 EnerGuide for New Houses Program, focusing on builder compliance with new building codes, changes in building practices, and the impact of energy efficiency measures on comfort and energy bills.

ASK ONLY f thru k) VS S Neither Dissat V.Dissat DK/Ref a. The First Review of the house plans, overall 1 2 3 4 5 9 (This was the review of the house plans evaluating the house‘s energy efficiency with recommended measures.) b. Scheduling a...

AI summary The text presents a survey evaluating the EnerGuide for New Houses Program, focusing on aspects such as the review of house plans, the final energy audit, and rebate provisions for energy-efficient measures. It includes rating scales for various aspects of the program's performance and customer satisfaction.

the program overall 1 2 3 4 5 9 k. The rebates provided by the program for 1 2 3 4 5 9 electric space and water heating measures 46. [IF Q45a = 4 or 5; OTHERWISE SKIP TO Q48] You indicated that you were not satisfied with the first review...

AI summary The text includes survey questions related to customer dissatisfaction with energy efficiency reviews and audits, as well as inquiries about measures recommended but not installed. It also references the Nova Scotia Department of Natural Resources (NMR) and the EnerGuide for New Houses Program.

ked with anyone about the EnerGuide for New Houses NMR Evaluation—2010 EnerGuide for New Houses Program Page A21 program did you have specific plans to build this house to achieve an energy efficiency level similar to what is required to e...

AI summary The text includes survey questions about participation in the EnerGuide for New Houses Program, asking respondents about their energy efficiency goals, potential delays in home construction, and the impact of the program on energy efficiency levels. It also inquires about the financial impact of the incentive provided by Nova Scotia Power.

a Power, could your budget have accommodated the full cost of the energy efficient upgrades incorporated into your home including the incentive? 1. Yes 2. No 3. (Don‘t know) FR16. How influential were the following elements to your decisio...

AI summary This text is part of a survey assessing the influence of various elements on homeowners' decisions to build energy-efficient homes. It asks respondents about the influence of incentives, information provided by the program, feedback on home plans, and the EnerGuide label on their decision-making process.

1. Yes 2. No 3. (Don‘t know / refused) 60. Is your home occupied year round, or is it a seasonal home? 1. Year round residence 2. Seasonal / vacation home NMR Evaluation—2010 EnerGuide for New Houses Program Page A25 7. (Other Specify _) 8...

AI summary The text contains a series of survey questions related to household occupancy, demographics, income, and gender, likely used for data collection in the context of the 2010 EnerGuide for New Houses Program.

nerGuide label and designation itself 47 14 11 7 6 6 2 α Significantly different from the 2009 sample at the 90% confidence level. NMR Evaluation—2010 EnerGuide for New Houses Program Page B2 The following table provides a detailed view of...

AI summary This text discusses the evaluation of the 2010 EnerGuide for New Houses Program, highlighting statistical differences from the 2009 sample at the 90% confidence level.

................................................................................ 20 3.6 NET-TO-GROSS RATIO ................................................................................................................................ 21...

AI summary The text outlines a section of a regulatory proceeding document discussing the evaluation of a program, including methodology, participant surveys, energy savings estimation, and program awareness. It also touches on process evaluation and on-site visit discrepancies.

Tables TABLE 1: 2010 PROGRAM ENERGY AND DEMAND SAVINGS ..................................................................... I TABLE 2-1: ENERGY GOALS BY YEAR ...................................................................................

AI summary The text presents a series of tables related to energy and demand savings, installation teams, lighting retrofits, population summaries, sample design, HVAC system efficiency, in-service rates, and free-ridership questions. These tables support analysis of energy programs and their impact.

hedule of the lighting at the 5PM-6PM hour for each location according to information provided by each site contact. Peak kW Savings = Connected kW Savings   Coincidenc e Factor The fundamental calculation of annual energy savings is...

AI summary The text provides formulas for calculating peak kW savings and annual energy savings based on lighting logger data. It mentions the use of a 7.1% multiplier to account for line losses associated with the Small General Commercial customer class.

te kW Savings  (% of space cooled)  (% of lights on at 5 - 6 PM)  0.80   Cooling System COP  Where 0.80 is the demand interaction factor between the lights and cooling system at 5-6 PM. The HVAC System Efficiencies were taken from...

AI summary The text explains a formula for calculating kW savings based on lighting and cooling system efficiency, with a demand interaction factor of 0.80. It references a lookup table of HVAC system efficiencies (COP) for different types of cooling and heating systems used in calculations.

77% 83% NMR Evaluation of 2010 Efficient Lighting Products Direct Install Program Page 22 3.7 Energy Savings Estimation Table 3-13 presents the net installed annual energy and demand savings for the 2010 Efficient Products Direct Install p...

AI summary The 2010 Efficient Products Direct Install program achieved significant energy and demand savings, exceeding its goals and surpassing the combined savings of previous years. The majority of savings came from CFL installations, with LED Exit Lights contributing a smaller portion. The program showed substantial growth compared to 2008 and 2009.

1 6 5 4 3 Reduce carbon † 4 2 3 11 footprint Reduce σ† 3 10 <1 13 maintenance costs Improve existing 3 9 5 4 lighting conditions Past program 1 participation Part of a green 1 initiative Assistance with 1 changing lighting Offer at our 1 f...

AI summary The text presents a table with various initiatives aimed at reducing carbon footprint, improving lighting conditions, and reducing maintenance costs. It also includes information on past program participation, assistance with changing lighting, and other initiatives. The table includes responses categorized under different headings such as 'Other' and 'Don‘t know'.

k 1 N ^ n N  w k 1 k This first set of equations present the population estimate of y, e.g., the gross annual savings as beta times the population tracking system estimate of savings, namely, bX. The beta coefficient (b) is the ratio o...

AI summary The text presents equations for estimating population savings (y) based on a weighted mean of engineering estimates (y) and tracking system estimates (x). It also includes formulas for calculating confidence intervals, variance, and within-stratum variance of the sample residual.

pation in the Efficient Lighting Products Program influenced any other energy efficiency actions taken by your company / organization? Yes No [Go to Q0] 9. (Don‘t know/Don‘t recall [Go to Q0]) What are the other measures that your company...

AI summary The text includes questions about energy efficiency measures and their implementation, such as the Efficient Lighting Products Program, and explores reasons for not pursuing additional measures. It also asks about payback requirements for energy efficiency initiatives.

.......................................................................................................................................... 42 TABLE 5-18: RECOMMENDATIONS TO IMPROVE PROGRAM......................................................

AI summary The document presents tables and figures related to program recommendations, building activity, and the evaluation of 2010 prescriptive rebate programs. It includes data on floor space, workers, and company types, as well as logic models for energy rebate programs.

oming aware of the program, customers identify and purchase energy efficient equipment.  Customers install energy efficient equipment. After purchasing energy efficient equipment, customers install the energy efficient equipment. Mid-Term...

AI summary The document outlines the outcomes of the BER program, including energy savings, bill reductions, increased knowledge about energy efficiency, and long-term benefits such as emission reductions and avoidance of new plant construction. The program encourages the adoption of energy-efficient equipment by businesses.

ons.  Avoidance of plant construction. NMR Evaluation of 2010 Prescriptive Rebate Programs Page 8 2.2 Program Logic Model Figure 2-1: Smart Lighting Choices Program Logic Model NMR Evaluation of 2010 Prescriptive Rebate Programs Page 9 3...

AI summary The document evaluates the 2010 Prescriptive Rebate Programs, focusing on the Smart Lighting Choices Program and the Building Efficiency Rebate (BER) program. It discusses program logic models, population data, and energy savings achieved in 2010.

visited, including the project number, type of equipment installed, and tracking connected demand and energy savings. Our on-site sample represented nearly one-third of the total 2010 tracked savings. Table 3-2: 2010 BER Population Trackin...

AI summary The text provides a summary of the 2010 BER Population Tracking Summary (Sample Frame), detailing energy and demand savings from various projects. The sample represents nearly one-third of the total tracked savings, with specific data on each project's category, energy savings in MWh, and connected demand savings in kW.

1 1     1,000  SEER Pre SEER Post   1   Energy Savings H  QTYCapacityH EFLH H  1 1     1,000  HSPFPre HSPFPost   1   Peak Demand Savings Winter  QTYCapacityH CF 1 1     1,000  HSPFPre HS...

AI summary The text presents mathematical formulas for calculating energy savings and peak demand savings related to heating systems, using metrics such as SEER, HSPF, and capacity factors. These calculations are likely used in energy efficiency evaluations or program assessments.

503.3 72.8 NMR Evaluation of 2010 Prescriptive Rebate Programs Page 25 4 Impact Evaluation: SLC The following impact evaluation of the 2010 SLC program includes an overview of the DSM Administrator-tracked program savings, a description of...

AI summary The 2010 SLC program's impact evaluation includes savings tracked by the DSM Administrator, based on distributor-reported data. In 2010, 378,812 lamps and 115,808 ballasts were rebated, with a significant portion being F28 lamps and two-lamp ballasts. The evaluation excludes savings from the Small Business Lighting Solutions and C&I Custom Program projects.

l of the savings associated with ballasts and lamp systems and the savings associated with lamp-only sales in 2010 was, therefore, estimated to be 2,698 MWh plus 1,024 MWh, or 3,722 MWh at the meter. 4.2 Impact Evaluation Methodology To pe...

AI summary The text discusses energy savings from lighting technologies in 2010, estimating total savings at 3,722 MWh. It outlines the impact evaluation methodology, including the use of installation rates, delta watts, and hours of use, as well as site visits and analysis of prior evaluations.

4.2.3 Hours of Use As part of the 2010 impact evaluation, the NMR team sought to inform the hours of use assumption based on the nine site visits. The nine sites included retail, warehouse, and hospital facilities. The operating hours assu...

AI summary The NMR team evaluated hours of use for lighting in various facilities, including retail, warehouse, and hospital sites, to inform the 2010 impact evaluation. The average operating hours from site visits was 3,477 hours per year, close to the program assumption of 3,400 hours. A 2009 phone survey reported 4,514 hours per year, significantly higher than the assumed value.

pproximately 33% higher than those assumed by the program and observed during the 2010 evaluation. The NMR team also examined other resources to determine estimates of average annual lighting hours. In particular, the current Connecticut P...

AI summary The NMR team evaluated lighting usage assumptions and interactive effects for the SLC program. They found that the assumed annual lighting hours were lower than estimates from other sources and identified interactive effects related to HVAC system adjustments due to energy conservation measures.

10 http://www.dpuc.state.ct.us/dockcurr.nsf/8e6fc37a54110e3e852576190052b64d/c530ebcb3a3e701f852577af005d 20e6?OpenDocument 11 http://www.ma-eeac.org/docs/MA%20TRM_2011%20PLAN%20VERSION.PDF NMR Evaluation of 2010 Prescriptive Rebate Progra...

AI summary The document evaluates the 2010 Prescriptive Rebate Programs, focusing on lighting usage in electrically conditioned spaces. Data from site visits for various DSM Administrator programs, including the Smart Lighting Choices, Small Business Lighting Solutions, and Efficient Products - Direct Install programs, were analyzed to calculate weighted averages for lighting in cooled and heated spaces.

ncy of the heating equipment. NMR Evaluation of 2010 Prescriptive Rebate Programs Page 31 4.3 Program Impact Results Table 4-5 presents the final estimates of savings for the SLC program based upon the analyses described above. This table...

AI summary This section presents the final estimates of energy savings from the SLC program in 2010, including both meter and generator-level data. The analysis includes annual energy savings and peak demand reductions, based on survey data and line loss factors.

subsequent questions. NMR Evaluation of 2010 Prescriptive Rebate Programs Page 35 Nearly one-half of the respondents (5 out of 11) said that the person most responsible for specifying equipment to install in their business was a contractor...

AI summary Nearly half of the respondents indicated that contractors were most responsible for specifying equipment to install in their businesses under the BER program. Other responsible parties included outside design professionals, utility account managers, manufacturer representatives, and internal company personnel.

8 No Don‘t know 1 1 Respondents rated the influence of various aspects of the BER program on their decision to participate in the program on a scale from one (―not at all influential‖) to five (―very influential‖). Information, services, o...

AI summary Respondents evaluated the influence of various aspects of the BER program on their participation. Information and advice from contractors and NSPI representatives were the most influential, while rebates and program information were only moderately influential.

1. Outside design professional 2. Contractor 3. Manufacturer representative 4. Utility account manager 5. Someone within your company / organization 98. (Don‘t know) 99. (Refused) [ASK V7/V8 FOR EACH MEASURE CATEGORY VERFIED IN V1 – V5; V1...

AI summary The text outlines a survey methodology used to gather information on factors motivating companies to install energy-efficient equipment across various categories, such as lighting, motors, and HVAC. It includes response options and instructions for data collection, focusing on program incentives, cost savings, and other motivations.

cipate in the NSPI rebate programs? [Probe: Save energy, rebates offered, reduce maintenance costs, protect environment, recommended by utility, concerns with carbon, etc.] 12. Were there any challenges or barriers that you faced in making...

AI summary The text outlines a series of questions aimed at understanding the experiences and challenges of participants in NSPI rebate programs, including barriers to participation, issues encountered, and satisfaction levels with various programs and interactions with NSPI staff.

2 3 4 5 9 no extremely DK influence influential Spillover Now I‘d like you to think about any energy efficient equipment or upgrades that your company is currently pursuing or has installed in the past two years on its own. These measures...

AI summary The text asks respondents to consider energy-efficient equipment or upgrades their company has installed or is pursuing, and whether these measures are similar to those covered by NSPI rebate programs. It also inquires about the location of installations, whether the upgrades are being implemented through NSPI programs, and the expected electricity savings in 2010.

ed post-measure implementation to determine the applicability of collected trend data. Where metering was performed and completed, site contacts were asked to identify the building areas where meters or loggers had been installed. By confi...

AI summary The document discusses the post-measure implementation evaluation of the 2010 C&I Custom Program, focusing on verifying the accuracy of metered data by confirming installation areas with site contacts. This process helps ensure that data is applied correctly in the DSM Administrator's M&V analysis.

d to verify that the proposed HVAC and lighting measures were installed and operating as proposed. Nameplate data were also collected from the HVAC equipment to assist in informing the facility model.

AI summary The text discusses the verification of installed HVAC and lighting measures and the collection of nameplate data from HVAC equipment to support facility modeling.

nt Important Important Save on energy/energy costs 45% 36% 50% 36% 69% Incentives 36 8 9 15 8 Part of existing retrofit efforts 9 8 Help protect the environment 9 25 9 8 17 Reduce maintenance costs 17 Reduce carbon footprint 17 See what wa...

AI summary The text presents survey data on reasons for implementing energy efficiency measures, with a focus on saving on energy costs and incentives. It highlights the importance of reducing energy costs, protecting the environment, and improving lighting conditions as key motivations. A significant percentage of respondents also indicated they did not know the reasons for implementing these measures.

N 1 n ^ x  wk x k k 1 N ^ n N  w k 1 k This first set of equations present the population estimate of y, e.g., the gross annual savings as beta times the population tracking system estimate of savings, namely, bX. The beta coefficien...

AI summary The text presents equations for estimating population savings (y) using a beta coefficient (b) derived from the ratio of weighted mean y (engineering estimate) to weighted mean x (tracking system estimate). It also includes formulas for calculating confidence intervals, variance, and relative precision of the estimate.

Page A4 where, ES L = Direct savings from the lighting retrofit (kWh) n = Number of fixtures W = Fixture wattage i = Lighting group i h = Assumed lighting annual hours of operation 1000 = Wh to kWh conversion factor. No loggers were insta...

AI summary The document discusses energy savings calculations from a lighting retrofit project, including direct lighting savings and interactive cooling savings. It outlines formulas used for calculation and mentions that no loggers were installed to monitor operating hours, though values were reviewed with facility personnel and retained for evaluation.

lculations also used incorrect wattage for one fixture type. The 250-Watt high pressure sodium fixtures were rated at 465-Watts in the baseline system. This was changed to 295-Watts in the evaluation. 7.0 Conclusions Annual energy savings...

AI summary The evaluation of the 2010 C&I Custom Program at a hardware store facility shows that annual energy savings were 93.1% of tracking savings, with variances attributed to fixture quantity reductions and modifications. Customer and generator demand savings were lower than expected, but interactive cooling contributed additional savings.

In Figure 1, notice for loggers B and C, using 1A as an ―on‖ indicator overestimates lighting usage since the circuit load is variable. In reality, a fraction of lights appear to have been on in the morning and evening (most likely emergen...

AI summary The text discusses analysis of electrical usage data from loggers B and C, highlighting issues with data variability and the presence of non-lighting loads. The data cleaning process involved identifying minimum current readings to estimate lighting usage and calculating load factors to determine equivalent full load lighting hours.

ghting savings [kWh] = Heat gain factor (fraction of the lighting energy assumed to become a load on the space) = Seasonality factor (fraction of the year assumed to require cooling) = Coefficient of performance of the cooling system. A he...

AI summary The document evaluates energy savings from lighting efficiency improvements in commercial and industrial settings. It discusses factors such as heat gain, cooling seasonality, and coefficient of performance, and how they affect cooling and heating loads. It also mentions peak demand savings and the impact of interactive refrigeration and heating effects.

ve heating penalties were generated for this project. Electric resistance heating exists in offices and some equipment spaces. Some areas are heated by infrared radiant system. These units operate by NMR Evaluation of 2010 C&I Custom Progr...

AI summary The evaluation of the 2010 C&I Custom Program shows that annual energy savings were 104.7% of the tracking savings, with changes in fixture counts and types contributing additional savings. Heating penalties were reduced significantly due to the elimination of interactions in spaces heated by radiant heat or fuel oil. Cooling savings were adjusted based on corrected COP values, and peak demand savings were higher than expected due to fixture and equipment changes.

rgy savings. In long form, insulation energy savings were calculated with the following equation: (1) where, = Insulation Energy Savings [kWh] = Month = Baseline building monthly cooling loads [kBtu] = Baseline building monthly heating loa...

AI summary The text discusses the calculation of energy savings from insulation and HVAC measures using specific equations. Insulation savings are calculated by comparing baseline and installed building loads, while HVAC savings are determined by adjusting equipment efficiencies and comparing energy consumption between baseline and installed cases.

ating of installed cooling equipment (20) [kBtu/kWh] = Heating Coefficient of Performance of installed heating equipment (3.12) = kBtu to kWh conversion factor [kWh/kBtu]. After calculating HVAC and insulation energy savings using Equation...

AI summary The document discusses the calculation of energy savings from HVAC and insulation improvements, noting that lighting savings were estimated at 424.6 kWh per month based on an 80% reduction in usage with occupancy sensors. The analysis is criticized for not using energy simulation software and for discrepancies in insulation R-values compared to the feasibility study. The COPh value used for heat pumps was also questioned due to assumed ground temperatures.

ncillary equipment associated with the installed system, such as the chilled water pumps and the ground source loop pump (modeled as a condenser pump). In addition, this solution provided a method of modeling the air side fan coils as they...

AI summary The text discusses the modeling of auxiliary equipment and systems, including chilled water pumps, ground source loop pumps, and in-slab radiant heating systems using an electric boiler and hot water loop baseboard heaters.

modeling approach was necessary because DOE2 does not allow in-slab heating in zones with air side equipment; only baseboard heating is permitted in zones with airside equipment. Even though the dynamics of a GSHP based heating strategy co...

AI summary The text discusses a modeling approach used to evaluate energy efficiency measures, including insulation and occupancy sensors, using eQuest. The model compared baseline and as-built scenarios to estimate annual energy and peak demand savings, with a focus on heating and cooling systems in buildings.

lation measure was responsible for the other 2.1%. These percentages were then multiplied by the gross annual savings (less lighting savings) to estimate savings directly attributable to each measure. 7.0 Conclusions When assessed in the a...

AI summary The project achieved energy savings slightly above the tracking estimate, primarily due to higher HVAC system efficiency, though insulation savings were lower than expected, contributing to a reduced overall impact.

king analysis. The primary culprit NMR Evaluation of 2010 C&I Custom Program Page A26 was likely the use of lower wall and roofing R-values in the tracking baseline model than those proposed in the feasibility study. As documented previous...

AI summary The evaluation of the 2010 C&I Custom Program found that lower insulation R-values in the baseline model led to overestimation of energy savings. Lighting controls savings could not be assessed due to an unknown calculation method, and peak demand savings were only 13% of projections due to low occupancy during peak hours.

1 1 1 2.5 Condenser Fan 240 2.2 1 1 2 Door Heaters 120 8 1 1 4 Dartmouth Fans or Equipment Volts Amps Phase # of Units Doors/Unit COP Evaporators 120 6 1 2 3 Compressor 240 30.7 1 1 1 2.5 Condenser Fan 240 3 1 1 2 Door Heaters 120 5.53 1 1...

AI summary The document presents technical data on equipment specifications for evaporators, compressors, condenser fans, and door heaters in different locations, including voltage, amperage, and COP. It also notes the installation of evaporator fan and door humidity controls in all four locations and free cooling in Truro and Dartmouth.

culate annual run hours. NMR Evaluation of 2010 C&I Custom Program Page A34 Interactive cooling savings were also claimed for space conditioned areas of the facility. Since the new fixtures operate at lower wattages, and thus impart less h...

AI summary The document evaluates energy and demand savings from the 2010 C&I Custom Program, including interactive cooling savings and peak demand savings. Calculations use factors like heat gain, seasonality, and coincidence, while adjusting for prior savings claimed in 2009.

ve cooling savings in the summer months. The heating penalty and cooling bonus were calculated with the following equation: (2) where, NMR Evaluation of 2010 C&I Custom Program Page A40 = Interactive Effects Savings [kWh] = Direct lighting...

AI summary The document discusses the calculation of interactive effects savings, direct lighting savings, and factors related to cooling and heating seasons, including heat gain factors, seasonality factors, and the coefficient of performance for cooling systems.

= Cooling season seasonality factor = Heating season heat gain factor = Heating season seasonality factor = Cooling system coefficient of performance = Heating system efficiency In Equation 2, heat gain factors designate the portion of lig...

AI summary The text discusses the use of heat gain factors and seasonality factors in calculating lighting savings, noting discrepancies between heating and cooling factors. It explains that heating penalties are only applied to areas using electric resistance heating, not natural gas or #2 furnace oil. Peak demand savings are calculated using a coincidence factor of 0.9.

te visit and those fixtures are not NMR Evaluation of 2010 C&I Custom Program Page A46 included in the lighting summary. Site personnel could not confirm the installation matches tracking estimates at that site. Fixture tables do not inclu...

AI summary The evaluation of the 2010 C&I Custom Program indicates that the installed lighting fixtures do not fully match tracking estimates, with some original baseline fixtures still in use. The majority of the installed fixtures are T8 lamps and ballasts, while T5 equipment accounts for a smaller portion.

d 6. These fixtures are located in NMR Evaluation of 2010 C&I Custom Program Page A49 support/service areas. They are not included in the high-bay work area circuits and do not operate 8760 hour per year. Interactive heating and cooling ef...

AI summary The evaluation of the 2010 C&I Custom Program discusses energy savings and demand reductions. Annual energy savings were 80.4% of tracking estimates, with reductions due to changes in fixture counts and technology. Peak demand savings were 91.6% of tracking estimates. The facility described is a multistory office building in Halifax.

= Cooling season seasonality factor = Heating season heat gain factor = Heating season seasonality factor = Cooling system coefficient of performance = Heating system efficiency In Equation 2, heat gain factors designate the portion of lig...

AI summary The text discusses the calculation of lighting energy savings, including heat gain factors, seasonality factors, and coincidence factors used in the evaluation. It notes discrepancies in heat gain factors for heating and cooling and explains the use of seasonality factors to account for partial-year heating and cooling needs.

5 0 1L F28 T8 12 12 0 Floor 3 (Men's WR) 2L F28 T8 4 4 0 Since all retrofits were performed on a 1-for-1 basis, the slightly lower evaluation counts reflect a reduction in savings. However, since the discrepancies were relatively minor, it...

AI summary The evaluation of lighting retrofits showed minor discrepancies in savings due to 1-for-1 retrofitting, but no systemic issues were found. Logger data indicated emergency lights operate 7,700 hours annually, while office lighting operates 3,201 hours annually. Adjustments were made to fixture counts and coincidence factors for peak demand calculations.

ly. The office coincidence factor was also applied to all remaining lights in the building since their operating patterns are more likely to follow the office schedules than the emergency schedule. NMR Evaluation of 2010 C&I Custom Program...

AI summary The document discusses the evaluation of a 2010 C&I Custom Program, including the use of an office coincidence factor for lighting and a method to calculate demand savings from interactive effects with HVAC systems. The interactive effects demand savings formula accounts for factors like heat gain, seasonality, and system efficiency.

llow a more weekday schedule of roughly 8 am to 5 pm. Heating is provided by #2 oil. Direct expansion cooling equipment provides space cooling. Ammonia chillers are used for refrigeration at the site. 2.0 Summary of Savings and Adjustments...

AI summary The document describes an energy efficiency project at a facility that included a lighting retrofit across various areas, resulting in energy and demand savings. The savings were recalculated and verified, showing a 13.6% increase in evaluated energy savings compared to tracking savings.

1000 (1) where, ES L = Direct savings from the lighting retrofit (kWh) n = Number of fixtures W = Fixture wattage i = Lighting group i h = Assumed lighting annual hours of operation 1,000 = Wh to kWh conversion factor No loggers were inst...

AI summary The text discusses the calculation of energy savings from lighting retrofits, including direct savings and interactive cooling savings. It outlines formulas and assumptions used to estimate energy savings, such as the heat gain factor, seasonality factor, and coefficient of performance of cooling systems. The facility is heated with #2 fuel oil, so no heating penalty was applied.

6L T5 250 6L T5 245 Total 334 Total 356 Difference 22 There was also a small variation in equipment type installed. Six-lamp T8 fixtures were observed in production and dry storage areas. These fixtures did not exist prior to the project....

AI summary The text discusses variations in lighting equipment installed, including 6-lamp T5 fixtures with differing wattage values, and notes potential labeling issues. It also mentions the evaluation of cooling and refrigeration equipment, noting differences in COP values for various refrigeration systems.

at gain factors exists. Nonetheless, NSPI used this approach in all of their lighting savings calculations, so it is was left unchanged in the ensuing evaluation analysis for the sake of consistency. NMR Evaluation of 2010 C&I Custom Progr...

AI summary The evaluation of the 2010 C&I Custom Program discusses the methodology used to calculate energy savings, including seasonality factors, lighting runtime reductions, and peak demand savings using a coincidence factor. These calculations were applied consistently with NSPI's approach to ensure uniformity in the analysis.

ingle peak coincidence factor based on the savings weighted average operating schedule of the affected lights, peak coincidence factors were independently calculated for each affected lighting group. For a given lighting group, peak coinci...

AI summary The document discusses the calculation of peak coincidence factors for lighting groups based on daily operating hours and introduces a new method for calculating demand savings from interactive effects with building HVAC systems. The rules for determining peak coincidence factors are outlined, along with the formula for calculating interactive effects demand savings.

Page A65 (3) where, = Interactive effects demand savings [kW] = Connected load reduction = Cooling season heat gain factor = Cooling season seasonality factor = Heating season heat gain factor = Heating season seasonality factor = Cooling...

AI summary The text presents Equation 3, which calculates interactive effects demand savings in a building retrofitted with HVAC systems. It includes variables such as heat gain factors, seasonality factors, and a coincidence factor that accounts for lighting not operating during peak demand periods. The equation was applied to 100% of retrofitted areas, and savings from all areas were summed.

(5) where, = Installed Motor Energy Savings [kWh] = Preexisting Motor Power Draw [kW] = Installed Motor Power Draw [kW] = Annual Operating Hours [h] The operating hours, h, used in Equation 5 were calculated based on the percentage of the...

AI summary The document discusses issues with the methodology used to calculate energy and demand savings from a motor efficiency project. Key problems include incorrect power factor calculations, reliance on a small sample of operating data, and failure to account for variations in motor usage. These issues were later addressed in the evaluation analysis.

kW Tracking Evaluated Difference Tracking Evaluated Difference Traffic Lighting 1,232,524 1,318,411 85,887 139.9 150.5 10.6 NMR Evaluation of 2010 C&I Custom Program Page A79 3.0 Project Overview Table 2 below provides an overview of the i...

AI summary The document evaluates the 2010 C&I Custom Program by comparing the number and wattage of pre-existing incandescent fixtures with newly installed LED fixtures. The data shows a significant reduction in total connected load from 352.3 kW to 38.4 kW after the program's implementation.

l? b. To what do you trace the difficulties you encountered? How might they be addressed in future programs? 7. Since last year there have been a few changes to the C&I program i. Assignment of an NSPI project owner, who manages projects c...

AI summary The text discusses changes to the Commercial and Industrial (C&I) Custom Program, including the assignment of an NSPI project owner, improved tools for savings calculations, simplified feasibility studies, and increased incentive levels. Questions are posed regarding the rationale behind these changes and their effectiveness.

ent measures and processes; or the NMR Evaluation of 2010 C&I Custom Program Page C26 savings could be from PLANNED OR END-OF-LIFE replacements and installations of higher efficiency rather than standard efficiency measures and processes....

AI summary The text discusses energy efficiency measures and their impact on electricity savings, asking participants about the influence of programs like C&I Custom and BER on their decision to implement energy efficiency actions. It also includes questions about the importance of reducing energy usage and managing energy costs to organizations.

sts to your company / organization? [9=Don‘t know/Don‘t recall] 32. What percent of your annual operating budget do energy costs account for? [999=Don‘t know/Don‘t recall] % 33. Do you have any suggestions on how to improve any of the NSPI...

AI summary This document is a final report on the impact and process evaluation of the Small Business Direct Install Program 2010, submitted by NMR Group, Inc. and KEMA, Inc. to Efficiency Nova Scotia Corporation. It includes survey questions and findings related to energy costs and rebate programs.

PRODUCTS IN THE FUTURE ...................................................................................................................................................... 31 TABLE 3-17: BARRIERS TO PURSUING ADDITIONAL ENERGY EFFICIENT E...

AI summary The text outlines various tables and figures related to energy efficiency, including barriers to adopting energy-efficient equipment, energy costs as a percentage of operating budgets, and the importance of energy management. It also references the Small Business Lighting Solutions Program logic model.

e use of a line loss factor of 1.074, consistent with that used by NSPI for the small business sector, provides an overall 2010 tracking estimate of 13,829 MWh of tracked savings at the generator. Table 2-1: Summary of SBLS 2010 Program Tr...

AI summary The document discusses the use of a line loss factor of 1.074 in calculating tracked energy savings for the Small Business Lighting Program (SBLS) in 2010, resulting in an estimated 13,829 MWh of savings. Tables provide monthly and annual data on demand and energy savings, as well as lighting technology installations in 2008 and 2010.

ulate savings were the same as those used in 2008. Given this consistency and the similarity in measure mix installed, we believe the transfer of the 2008 realization rate – which was driven primarily by wattage changes due to spot watts –...

AI summary The 2010 Small Business Lighting Solutions Program's energy and demand savings are evaluated using realization rates from 2008. The results show installed annual energy savings of 12,052 MWh at the meter and 12,944 MWh at the generator, with connected demand savings of 3,712.7 kW and 3,987.5 kW, respectively.

ings at Meter with Interaction 12,052 3,712.7 Annual Savings at Generator with Interaction 12,944 3,987.5 The 2008 coincident demand factors calculated at the hour ending 6PM were determined to be 44.1% at the meter. Utilizing this factor,...

AI summary This section discusses the energy and peak demand savings associated with the Small Business Lighting Program (SBLS) in 2010. It estimates energy savings at the meter and generator levels, as well as peak demand savings, using a coincident demand factor of 44.1%.

Evaluation of 2010 Small Business Lighting Solutions Program Page B1 Appendix A Interview Guides Draft participant QUESTIONNAIRE: NSPI SBLS PROGRAM Final: July 22, 2010 Hello, I am with NMR Group, and we are performing an evaluation of ene...

AI summary This document outlines an interview questionnaire used to evaluate the Small Business Lighting Solutions (SBLS) program by Nova Scotia Power. The questionnaire aims to gather participant feedback on their experience with the program and previous participation in other energy efficiency initiatives.

alent workers are employed by your company/organization? NMR Evaluation of 2010 Small Business Lighting Solutions Program Page B19 15. Fewer than 5 16. 5 to 9 17. 10 to 19 18. 20 to 49 19. 50 to 99 20. 100 to 249 21. 250 or More 9. Don‘t k...

AI summary The document contains a portion of an evaluation of the 2010 Small Business Lighting Solutions (SBLS) Program, including survey questions and an interview guide for recycling contractors. It includes questions about company size, independence, and how contractors became aware of the SBLS program.