Topic:"Program Participation Metrics" in M08604

enditures reported in previous 4 quarters may have been updated and are reflected in the year-end totals. 5 New Residential includes the New Home Construction program component. 6 7 NHC saw an increase in registrations in 2017 compared to...

AI summary The New Home Construction (NHC) program saw increased registrations in 2017 but fell short of planned energy savings due to a large Service Provider exiting the program. Efficiency Nova Scotia (ENS) assisted in transitioning participants to other providers and updated incentives in Q2 2017 to address feedback on the need for higher incentives.

. 30 ENS will provide its mid-course adjustments for 8 2018 by program and their customer rate class impacts within its 2018 Q1 DSM Report, 9 due to be filed in May, 2018. 10 11 In 2018, ENS will work with its Evaluation Consultant to desi...

AI summary ENS plans to provide mid-course adjustments for 2018 by program and customer rate class impacts in its Q1 DSM Report, due in May 2018. It will continue conducting evaluations and process improvements to enhance program effectiveness and participant experience.

s responsibility for service relationships with the people and institutions that ENSC serves? What are the restrictions on scope and to what extent are they needed or unnecessary? How and how well does ENSC maintain good faith and quality...

AI summary The text explores the service quality and organizational culture of ENSC, focusing on how well it maintains good faith and quality of service in customer interactions, potential unintended consequences of its work, and the internal and external experiences of employees and former employees. It also raises questions about the causes of underservice and how programs have adapted to unforeseen side effects.

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

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

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

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

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

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

FR3c. [ASK IF FR2 a or b ≥5] If the program rebate or financing had not been offered, what is the likelihood that you would have postponed installing the lighting FR3c = (10 − Answer) x 10% NA 0 100% 5 50% upgrades by at least one year? IF...

AI summary The text outlines a method for assessing free-ridership and program effectiveness through various performance assessments (PA1, PA2, PA3, PA4) and consistency tests. It includes a scale for evaluating the likelihood of delayed installation of lighting upgrades and calculates scores based on responses.

- 3% - 100% - 18% OTHERWISE MEAN (PA1; PA2; PA3) CI2/4a. [The company’s previous participation in an ENS program]/[The energy efficiency promotional materials distributed by ENS] was a major factor in your 1 0 1 decision to install energy...

AI summary The text presents a series of questions to assess the impact of ENS programs and promotional materials on a company's decision-making regarding energy efficiency upgrades. It asks respondents to agree or disagree with statements about whether ENS programs influenced their decisions, prompted energy audits, or affected cost-effectiveness evaluations.

0 0% 6 60% 5 50% IF DK OR REF: FR2 = EMPTY 10) FR3a. If the program rebate or financing had not been offered, what is the FR3a =Answer x 10% likelihood that you would have installed exactly the same energy-efficient HVAC 4 40% 5 50% 5 50%...

AI summary The text presents survey questions related to free-ridership and program participation, asking respondents about the likelihood of installing energy-efficient HVAC upgrades without program rebates or financing, and whether they had already decided to install such systems before learning about the SBES program.

1 - 1 - 2 0% HVAC system before learning about the SBES program? IF 2. No OR DK OR REF: FR1 = 0% FR1a. [ASK IF FR1=1] I just want to make sure I understand - Before you learned about the SBES program and the rebates offered through the pro...

AI summary The text discusses a survey question related to whether respondents had already decided to install energy-efficient HVAC upgrades before learning about the SBES program and its rebates, with responses categorized under FR1 and PA2 Score.

e Network PA3 Score (10 − FR4) × 10% - 0% - 70% - 0% Project No. 6138 26 Evaluation of 2017 DSM Programs Efficiency Nova Scotia Executive Summary – Appendix Report FR3c. [ASK IF FR2 a or b ≥5] If the program rebate or financing had not bee...

AI summary The text presents a scoring framework for evaluating the impact of energy efficiency programs, specifically focusing on the likelihood of delayed HVAC upgrades if rebates or financing were not available. It includes a scoring calculation for FR3c based on a scale from 0 to 10.

2 80% 9 10% IF DK OR REF: FR3b = EMPTY HVAC upgrades by at least one year? (Scale 0 to 10) PA4 Score FR3c - - - 80% - 10% IF ABS(FR2ab − FR3a) ≥ 50% : Inconsistency Test - PA1 - 20% - 55% - 50% PA1 = MIN(FR2ab; FR3a) IF FR1a = 100% AND FR2...

AI summary The text discusses performance assessments (PA1 to PA4) and free-ridership (FR) metrics, including inconsistency tests and calculation methods. It outlines conditions for determining scores and how they are evaluated based on percentages and thresholds.

OTHERWISE MEAN (PA1; PA2; PA3) CI2/4a. [The company’s previous participation in an ENS program]/[The energy efficiency promotional materials distributed by ENS] was a major factor in your 1 0 1 decision to install energy efficient upgrades...

AI summary The text presents survey questions assessing the impact of ENS programs and promotional materials on a company's decision-making regarding energy efficiency upgrades. The questions focus on whether ENS initiatives influenced the company's decisions to install upgrades, conduct energy audits, and consider cost-effectiveness of energy-efficient options.

n 0 each upgrade BER program Additional Upgrade Savings SO4 - 0 SO3. Did your experience with this program influence your decision to implement these additional energy efficiency measures on your own? SO3 = Answer x 10% 0 0% (Scale 0 to 10...

AI summary The text discusses the calculation of spillover savings and free-ridership in an energy efficiency program, with the NTGR (Net Total Gross Reduction) calculated as 88%. It includes survey data on participant experiences and their influence on additional energy efficiency measures.

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

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

ogram component. The free-ridership level was assessed using a self-reporting approach which involved asking participants who had purchased LED lamps a series of questions during the intercept survey. The free-ridership level is calculated...

AI summary The free-ridership level for LED lamps sold through the Instant Savings program in 2017 was 32%, calculated using a self-reporting approach and an algorithm that considers factors like discount awareness and purchase decisions. This level is similar to 2016, indicating market stabilization. The survey also showed improved program visibility, with fewer participants unaware of the rebate. Spillover effects may have influenced sales outside of campaign periods due to increased awareness of energy-efficient products.

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

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

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

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

LIST OF TABLES Table 1: Overall Participation and Savings for Existing Residential ..................................................... xiii Table 2: HEA Net-to-gross Ratio ....................................................................

AI summary The text presents a list of tables from a regulatory proceeding, focusing on energy efficiency programs, savings tracking, and evaluation metrics. It includes tables related to participation, net-to-gross ratios, energy savings comparisons, program implementation status, and evaluation types.

are significantly lower than those tracked by ENS. This is partially because participants often have other heating systems (electrical or non-electrical) that also contribute to the home heating load. The net-to-gross ratio (NTGR) values l...

AI summary The net-to-gross ratio (NTGR) values for the Green Heat program are influenced by free-ridership levels, with new path participants showing higher free-ridership due to simplified application processes. The NTGR for heat pump water heaters is set at 1.00 due to their recent introduction and cost.

s-influence from ENS promotion and other program components) › Internal spillover › Barriers to the implementation of recommended upgrades › Recommendations for improvements › Demographics The total number of HEA participants was 931 for t...

AI summary The 2017 DSM Evaluation Report discusses the Home Energy Assessment (HEA) program component, including participant perspectives, survey results, and an evaluation of the Effective Useful Life (EUL) values used by ENS. A sample of 70 participants was surveyed to assess satisfaction, barriers, and program influence.

2017 DSM Evaluation Report The participant surveys were meant to collect feedback on the following aspects of Green Heat: › Participation motivations › Usage of the old and new equipment installed › Free-ridership (including the cross-infl...

AI summary The 2017 DSM Evaluation Report outlines participant surveys and on-site visits conducted to evaluate the Green Heat program. Surveys collected feedback on participation, equipment usage, and satisfaction, while on-site visits verified installation and gathered system usage data.

RVIEW GUIDE WITH THE ENERGY ADVISORS PROGRAM NAME: HOME ENERGY ASSESSMENT Interview date and time Company name Interviewee name Area code and phone number Email Introduction Thank you for taking the time to speak with me. Today, I am inter...

AI summary This document is a review guide for evaluating Efficiency Nova Scotia's Home Energy Assessment program. It outlines an interview process with program partners to gather insights on their involvement and satisfaction with the program. The evaluation is being conducted by Econoler in partnership with Corporate Research Associates.

nswer on a scale of 0 to 10, with a 0 indicating that it is “Very Unlikely,” and a 10 indicating that it is “Very Likely.” [DO NOT ACCEPT A RANGE – ASK FRS3 a-c SEQUENCE IN ORDER/DO NOT RANDOMIZE] Project No. 6138 63 Existing Residential P...

AI summary The text presents a series of questions from a program evaluation, asking participants to rate the likelihood of alternative actions if the program rebate or financing had not been available and to rate the influence of factors in their decision to install equipment.

ing a scale from 0 to 10, where 0 means “No influence” and 10 means “Great influence”, please rate the influence of each of the following in your decision to install a [EQUIPMENT]. 2017 Influence of Factors on Decision to Have Equipment In...

AI summary This text presents survey data on the influence of program components and information provided by ENS on the decision to install equipment, with a mean rating of 5.4 for program rebates and 5.3 for information from ENS. It also asks respondents about prior participation in other Efficiency Nova Scotia programs before joining the Green Heat program.

00% had you already made the decision to install a high-efficiency heat pump IF 2. No, DK OR REF: FRM4a = 0% model? FRM5. [ASK IF FRM4=1] If you had not received the rebate from Efficiency FRM5 = Answer x 10% Nova Scotia, would you have pa...

AI summary The text outlines a survey or form (FRM) related to customer decisions regarding the installation of high-efficiency heat pumps and the influence of rebates from Efficiency Nova Scotia. It includes scoring mechanisms and consistency checks to evaluate customer responses and potential free-ridership.

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

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

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

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

Energy Savings (GWh) Net Energy Savings per Participant (MWh) Peak Demand Savings (MW) Market Evaluation Highlights The participants and builders interviewed expressed moderately high satisfaction ratings for NHC, respectively averaging 6....

AI summary The evaluation of the New Home Construction (NHC) program highlights moderate satisfaction among participants and builders, with dissatisfaction primarily attributed to low rebate amounts and complex processes. Changes in participation measurement methods starting in 2013 also led to discrepancies in reported participant numbers across evaluation reports.

and Evaluated Savings at the Generator for New Residential Initial Gross Savings Adjusted Gross Savings NTGR Net Savings Energy Savings Tracked Savings from ENS 3.845 GWh 3.217 GWh 0.93 2.992 GWh Evaluation Results 3.838 GWh 3.212 GWh 1.05...

AI summary The evaluation of energy savings from the New Residential program shows slight decreases in gross savings but higher net savings due to changes in the NTGR value. The 2017 evaluation found that the program met peak demand savings targets but fell short of net energy savings goals, with participation at its lowest since 2011. Recommendations for improvement are provided.

2017 NHC-R1. Conduct a process evaluation for NHC in 2018. During the 2017 evaluation, participants and builders made certain criticisms about NHC, especially on incentive levels and the participation process. Also, the NHC participation l...

AI summary The document recommends conducting a process evaluation for the New Home Construction (NHC) program in 2018 to assess its effectiveness and optimize its delivery model. It also suggests a billing analysis to determine the overestimation ratio for energy savings using the new version of HOT2000, following increased data availability.

(n=11) Final energy assessment (n=11) 7.7 First review of house plans overall (n=12) 6.8 Rebates provided by the program component overall 5.2 (n=13) 3.2 Builder Perspectives A survey of 40 participant builders and 19 non-participant build...

AI summary The survey of builders participating in the New Home Construction (NHC) program found that most participants make the decision to join alone, with satisfaction at 7.2 out of 10. Key issues include low rebate amounts, lack of information, and delays in receiving rebates. Non-participants cited low rebates and program complexity as barriers to participation.

19 13 Mean 7.1 6.6 Don’t know/Refused excluded from calculations Project No. 6138 14 New Residential Program Efficiency Nova Scotia 2017 DSM Evaluation - Appendix Report S2. What was the most important reason you were not more satisfied wi...

AI summary The text provides a statistical summary and a question from an evaluation of the 2017 DSM (Demand Side Management) program, focusing on customer satisfaction and reasons for dissatisfaction with the program.

d LED Products from 2015 to 2017 .................................. 67 Figure 15: Market Evolution for Commercial LED Lighting ................................................................... 71 Efficient Product Rebates Program x Effic...

AI summary This report evaluates the 2017 demand-side management results for the Efficient Product Rebates program, including the Business Energy Rebates component. It details participation levels and savings from both mail-in and instant rebate services.

he rebate. BER Mail-in succeeded in maintaining high satisfaction scores with all these service aspects for a second year in a row, indicating sustained improvement in Mail-in satisfaction since 2015. The results of the site visits and pro...

AI summary The BER Mail-in program maintained high satisfaction scores, with only minor adjustments needed for tracked energy savings. The NTGR was set at 0.86 based on free-ridership and spillover effects. For BER Instant Rebates, there was a 7% increase in rebated products sold in 2017, and overall satisfaction remained consistent with previous years.

d an overall positive opinion (ratings of 8 or higher), one distributor offered a moderate opinion (rating of 7) and three distributors were critical of BER Instant Rebates (ratings of 5 or lower). Efficient Product Rebates Program xiii Ef...

AI summary The 2017 DSM Evaluation Report highlights dissatisfaction with the Efficient Product Rebates Program, particularly due to rebates being directed to contractors rather than end users. However, satisfaction with Efficiency Nova Scotia's support and communication is high, with an average satisfaction level of 8.3.

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

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

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

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

evaluation objectives, key results of the previous evaluations and recent changes made to each program. Further explanations can be found Section 1 of the DSM Programs Evaluation Executive Summary. Business Energy Rebates 12 Efficient Prod...

AI summary The 2017 BER market evaluation highlights participant satisfaction with the Mail-in Rebates program, with 90% satisfaction ratings. Participants primarily joined to save on energy costs, and many had previously engaged with other Efficiency Nova Scotia programs. Some dissatisfaction was noted due to paperwork and lengthy processes.

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

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

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

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

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

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

is in the future, systematic reviews of facility operational and equipment changes should be implemented by ENS to ensure the accuracy of reported savings. Project No. 6138 44 Custom Incentives Program Efficiency Nova Scotia 2017 DSM Evalu...

AI summary The 2017 DSM Evaluation involved project reviews and interviews to assess the effectiveness of the Custom Incentives Program managed by Efficiency Nova Scotia, focusing on savings persistence and participant satisfaction.

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

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

its inception in 2015,2 and clearly illustrates SBES’s steady increase in participation level and the associated savings. Figure 1: Overview of SBES Performance, 2015-2017 Number of Projects Net Savings 417 7.887 259 4.120 0.025 0.016 0.01...

AI summary The document highlights the success of the Small Business Energy Solutions (SBES) program from 2015 to 2017, showing an increase in participation and energy savings. Participants expressed high satisfaction with the program, particularly with the equipment and audit services, though a few had concerns about incentives and energy savings.

m of the auditor and usefulness of the audit. The other few participants who were less satisfied indicated dissatisfaction with the amount of the incentive (n=2) and the energy savings achieved (n=2). When asked to rate the predetermined f...

AI summary The evaluation of the Small Business Energy Solutions (SBES) program found that participants were generally satisfied with the audit process but had concerns about incentive amounts and energy savings. Financial challenges and lack of knowledge were cited as main barriers. Suggestions for improvement included better promotion, improved communication, and increasing rebate amounts.

2018. The Evaluator expects the impact of this change to show in the 2018 impact evaluation, since new forms had not yet been made available to the participants visited as part of the 2017 evaluation. 1.3 Participation History SBES was ini...

AI summary The SBES program, launched in 2015, saw a significant increase in participation and energy savings between 2016 and 2017, with a 79% increase in gross energy savings and 61% increase in the number of projects. In 2017, 417 projects were completed, including 50 audit-path and 367 DIY-path projects.

he margin of error indicates the relative level of precision4 of the measurement, while its associated confidence level indicates the probability of a measurement falling within this margin of error.5 As part of this evaluation, the Evalua...

AI summary This section discusses the evaluation of the SBES program, including survey results and project reviews. A participant survey was conducted with 70 SBES participants, yielding an 8.5% margin of error at a 90% confidence level. Project reviews were carried out by Equilibrium Engineering in October and November 2017.

2017 DSM Evaluation – Appendix Report S3. Do you have any recommendations for improving the Small Business Energy Solutions program? Anything else? Participant Suggestions for SBES 2016 2017 Sample Size 37 70 Better marketing/awareness 5%...

AI summary The 2017 DSM Evaluation – Appendix Report discusses participant feedback on the Small Business Energy Solutions (SBES) program, highlighting areas for improvement such as better marketing, improved communication, increased rebates, and simplifying the program. The report also includes an audit path question about pre-installation planning for energy-efficient upgrades.

by participating in that program, a company representative took into account the cost-effectiveness of energy efficient upgrades when evaluating different options for the facility. 2016 2017 Impact of Previous ENS Program Component Partici...

AI summary The text discusses the impact of previous participation in ENS programs and the awareness of energy efficiency promotional materials. It highlights that a majority of respondents agreed on the cost-effectiveness of energy-efficient upgrades and that most had previously seen ENS promotional materials.

FR3a = (10 - Answer) x 10% would have simply kept your old equipment instead of installing energy- IF DK OR REF: FR3a = EMPTY efficient equipment in your facility? (Scale 0 to 10) MEAN VALUE OF: PA1 Score: (FR2ab; FR3a) FR1. Before having...

AI summary The text outlines a survey question (FR3a) asking respondents to rate the likelihood they would have kept old equipment instead of installing energy-efficient upgrades, with a calculation based on their response. It also includes a conditional scoring mechanism (PA1 Score) based on responses to questions about prior plans to implement energy-efficient upgrades as part of the SBES program.

Efficiency Nova Scotia 2017 DSM Evaluation – Appendix Report IF PA4 < MEAN (PA1; PA2; PA3): Free-Ridership MEAN (PA1; PA2; PA3;PA4) OTHERWISE MEAN (PA1; PA2; PA3) CI2/4a. [The company’s previous participation in an ENS program]/[The energy...

AI summary The document discusses the evaluation of Efficiency Nova Scotia's 2017 Demand Side Management (DSM) program, focusing on factors influencing participants' decisions to install energy-efficient upgrades, including previous company participation and promotional materials from ENS.

Gross and net savings calculated by the Evaluator using the parameters (unitary savings values, installation rates, interactive effects, net-to-gross Evaluated savings ratio, etc.) validated or measured during the evaluation process. Unles...

AI summary The text defines various terms related to energy efficiency program evaluation, including gross and net savings, free-ridership, induced consumption, and interactive effects. It outlines the evaluation plan and first-year savings, emphasizing the importance of measuring and validating energy efficiency program outcomes.

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

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

Indicator Table—Deliver Marketing Campaigns Page D-3 Marketing Evaluation Medium-Term Outcomes Indicators Data Sources & Collection Approaches ENS programs received informally, including at program events) 8. Stakeholders increasingly • Ch...

AI summary The document outlines indicators for evaluating the engagement of stakeholders in ENS programs, including participation rates, training attendance, and project involvement by trade allies, with data collected through program databases, surveys, and interviews.

over time participant trade allies • Changes in nonparticipant trade ally awareness of program over time • Surveys of nonparticipant trade allies Long-Term Outcomes Indicators Data Sources & Collection Approaches 1. Customers have increasi...

AI summary The text outlines long-term outcomes and indicators for evaluating customer trust and participation in ENS programs. It highlights the importance of tracking changes in trust levels among participants and nonparticipants, as well as measuring program participation and energy savings through surveys, interviews, and database analysis.

• Surveys of participants • Short interviews with BDMs 3. Customers continue to share • Number and percent of participants reporting they learned of program • Surveys of participants experiences and refer friends through family/friends • I...

AI summary The text outlines methods used to evaluate the effectiveness of ENS programs, including surveys, interviews with Business Development Managers (BDMs), and data from program databases. It highlights customer engagement, stakeholder participation, and the involvement of trade allies in the programs.

ok and through in-depth interviews. It explores the time required to complete the Workbook, the challenges staff faced in completing the Workbook, and the resources needed to make the process easier. 2.1. Time Required to Complete the Work...

AI summary The document discusses the time and resource challenges faced by program staff in completing the Workbook for reviewing incentive measures. Staff reported that the process is time-consuming, often taking multiple days per measure, and that the current system is less efficient than previous methods, creating concerns about scalability and workload.

you get projects you may not have otherwise gotten? How so? [Probe for influence of BDMs] Q28. How satisfied have you been with the program in terms of the requirements asked of you? Why? Q29. Overall, how satisfied have you been with Effi...

AI summary The document contains interview questions and an introduction for participants in the Custom-Retrofit program evaluation. It focuses on gathering feedback on program effectiveness, challenges, and opportunities for improvement, with a particular emphasis on the role of Business Development Managers and Efficiency Nova Scotia's support.

2011 2012 2013 2014 2015 2016 2017 2018 2019 24 25 This graph shows cumulative program participation for the class, as a percentage of eligible participants for each program. Each participant is counted once for each program, in This graph...

AI summary The text describes a graph showing cumulative program participation rates as a percentage of eligible participants or total customers in a class, with participation counted once per program and year. Darker bars represent tracked participants, while lighter bars represent estimated participation for programs lacking individual customer data. Participation from 2017-2019 is marked as estimated.

ness 5% 39 40 0% 0% 41 2011 2012 2013 2014 2015 2016 2017 2018 2019 2011 2012 2013 2014 2015 2016 2017 2018 2019 42 This graph shows annual program participation for the class, as a percentage of eligible participants for each program. Eac...

AI summary The text describes two graphs showing annual program participation rates, one as a percentage of eligible participants and the other as a percentage of total customers in the class. Participation data is differentiated between 'tracked' and 'estimated' participants, with all 2017-2019 participation shown as estimated.

2014 2015 2016 2017 2018 2019 2011 2012 2013 2014 2015 2016 2017 2018 2019 42 This graph shows annual program participation for the class, as a percentage of eligible participants for each program. Each participant is counted once in each...

AI summary This text describes a graph showing annual program participation rates as a percentage of eligible participants or total customers in the class. Darker bars represent tracked participants, while lighter bars represent estimated participation for programs without individual customer data. Participation rates for 2017-2019 are labeled as 'estimated'.

2011 2012 2013 2014 2015 2016 2017 2018 2019 24 25 This graph shows cumulative program participation for the class, as a percentage of eligible participants for each program. Each participant is counted once for each program, in This graph...

AI summary The text describes a graph illustrating cumulative program participation rates as a percentage of eligible participants or total customers in a class. Participants are counted once per program in the year they first enroll, with darker bars representing tracked participants and lighter bars representing estimated participation where individual data is unavailable. Participation for 2017-2019 is labeled as 'estimated'.

participate. information is not obtained. All 2017-2019 participation is shown as "estimated". 27 28 Annual General Participation Rates by Program Annual Participation as a Percentage of Total Small General Customers 29 100% 30 70% 90% Eff...

AI summary The text discusses annual general participation rates by program, showing participation as a percentage of total small general customers. It notes that participation data for 2017-2019 is estimated.

37 30% Custom 20% 38 20% Small Business 39 10% 10% 40 0% 0% 41 2011 2012 2013 2014 2015 2016 2017 2018 2019 2011 2012 2013 2014 2015 2016 2017 2018 2019 42 This graph shows annual program participation for the class, as a percentage of eli...

AI summary The graph illustrates annual program participation rates for different classes, represented as a percentage of eligible participants. Each participant is counted once per year of participation, with darker bars indicating tracked participants and lighter bars representing estimated participation for programs lacking individual customer data.

counted once in each year that they participate. Darker bars show tracked participants; lighter bars show estimated participants for programs where individual customer information is not obtained. All 2017-2019 This graph shows annual prog...

AI summary This graph illustrates annual program participation rates for a specific customer class, with darker bars representing tracked participants and lighter bars indicating estimated participation for programs lacking individual customer data. Each customer is counted once per year of participation, and participation is shown as a percentage of total customers in the class.

10% 22 23 0% 0% 2011 2012 2013 2014 2015 2016 2017 2018 2019 2011 2012 2013 2014 2015 2016 2017 2018 2019 24 25 This graph shows cumulative program participation for the class, as a percentage of eligible participants for each program. Eac...

AI summary The text describes a graph showing cumulative program participation rates for a class of participants, measured as a percentage of eligible or total customers. Each participant is counted once in the year they first join a program. Darker bars represent tracked participants, while lighter bars indicate estimated participation for programs without individual customer data. All participation from 2017 to 2019 is labeled as 'estimated'.

2017-2019 participation is shown as "estimated". participate. 26 27 Annual Large General Participation Rates by Program Annual Participation as a Percentage of Total Large General Customers 28 100% 29 Efficient Products (Residential) 100%...

AI summary The text presents participation rates for programs between 2017 and 2019, with participation rates shown as percentages of total large general customers. The data includes the Efficient Products (Residential) program, and the rates are estimated.

10% 40 0% 0% 41 2011 2012 2013 2014 2015 2016 2017 2018 2019 2011 2012 2013 2014 2015 2016 2017 2018 2019 42 This graph shows annual program participation for the class, as a percentage of eligible participants for each program. Each parti...

AI summary The text describes graphs illustrating annual program participation rates as a percentage of eligible participants and total customers in the class. Participation is tracked for each year, with darker bars representing tracked participants and lighter bars representing estimated participation for programs lacking individual customer data.

% 10% 22 23 0% 0% 2011 2012 2013 2014 2015 2016 2017 2018 2019 2011 2012 2013 2014 2015 2016 2017 2018 2019 24 25 This graph shows cumulative program participation for the class, as a percentage of eligible participants for each program. E...

AI summary The text describes two graphs showing cumulative program participation rates over time, with one graph tracking participation as a percentage of eligible participants and the other as a percentage of total customers in the class. Participation data for 2017-2019 is marked as estimated.

10% 40 0% 0% 2011 2012 2013 2014 2015 2016 2017 2018 2019 41 2011 2012 2013 2014 2015 2016 2017 2018 2019 42 This graph shows annual program participation for the class, as a percentage of eligible participants for each program. Each parti...

AI summary The text describes a graph showing annual program participation rates as a percentage of eligible participants, with darker bars representing tracked participants and lighter bars representing estimated participation for programs lacking individual customer data. Participation rates for 2017-2019 are labeled as 'estimated'.

0% 10% 22 23 0% 0% 2011 2012 2013 2014 2015 2016 2017 2018 2019 2011 2012 2013 2014 2015 2016 2017 2018 2019 24 25 This graph shows cumulative program participation for the class, as a percentage of eligible participants for each program....

AI summary The text describes a graph showing cumulative program participation as a percentage of eligible participants, with darker bars representing tracked participants and lighter bars representing estimated participation for programs lacking individual customer data. All participation from 2017-2019 is marked as estimated.

2011 2012 2013 2014 2015 2016 2017 2018 2019 42 This graph shows annual program participation for the class, as a percentage of eligible participants for each program. Each participant is counted once in each year that they participate. Da...

AI summary The text describes a graph illustrating annual program participation rates for a specific class of customers, showing participation as a percentage of eligible participants or total customers in the class. Participation is tracked for each year, with darker bars indicating tracked participants and lighter bars indicating estimated participation for programs lacking individual customer data.

10% 23 0% 0% 2011 2012 2013 2014 2015 2016 2017 2018 2019 2011 2012 2013 2014 2015 2016 2017 2018 2019 24 25 This graph shows cumulative program participation for the class, as a percentage of eligible participants for each program. Each p...

AI summary The text describes a graph showing cumulative program participation rates as a percentage of eligible participants, with darker bars representing tracked participants and lighter bars representing estimated participation for programs lacking individual customer data. All participation from 2017 to 2019 is labeled as estimated.

0% 41 2011 2012 2013 2014 2015 2016 2017 2018 2019 2011 2012 2013 2014 2015 2016 2017 2018 2019 42 This graph shows annual program participation for the class, as a percentage of eligible participants for each program. Each participant is...

AI summary The text describes a graph that illustrates annual program participation rates as a percentage of eligible participants, distinguishing between tracked and estimated participants. Participation data is provided for the years 2011 to 2019, with estimated participation noted for programs lacking individual customer information.

7-2019 participation is shown as "estimated". participate. 27 Annual Municipal Utility Participation Rates by Program Annual Participation as a Percentage of Total Municipal Utility Customers 28 29 100% Efficient Products (Residential) 100...

AI summary The document presents annual municipal utility participation rates by program, showing participation as a percentage of total municipal utility customers. It includes data for Efficient Products (Residential) and Existing Residential programs, with participation rates reaching up to 100%.

2011 2012 2013 2014 2015 2016 2017 2018 2019 2011 2012 2013 2014 2015 2016 2017 2018 2019 42 This graph shows annual program participation for the class, as a percentage of eligible participants for each program. Each participant is counte...

AI summary The text describes a graph showing annual program participation rates for a class of participants, expressed as a percentage of eligible participants or total customers. Darker bars represent tracked participants, while lighter bars represent estimated participation for programs without individual customer data.

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

AI summary The table presents data related to the 'Efficient Products (Residential)' program, including various numerical values and categories. The data appears to be part of a larger regulatory proceeding, potentially related to energy efficiency and program performance metrics.

organizations indicate that they would participate in the future, coupled with the fact that nearly all Non-Participants hold a favourable overall opinion of Efficiency Nova Scotia. Among Participants, it is widely agreed that energy savin...

AI summary The text discusses the participation of small businesses in Efficiency Nova Scotia programs, noting high satisfaction with energy savings and bill reductions. Nearly all participants would recommend the programs and expect future participation, with positive overall opinions of Efficiency Nova Scotia.

mes resulting from program participation, six in ten organizations report having closely monitored energy consumption after taking part in an Efficiency Nova Scotia business program. Nearly all Participant organizations would recommend Eff...

AI summary The text highlights that most organizations participating in Efficiency Nova Scotia business programs would recommend them, with a variety of suggestions for improvement. However, promoting energy efficiency in communications and marketing is uncommon among participants, and organizations less inclined to participate or recommend programs are also less likely to promote energy efficiency.

Don’t recall/Never heard of any of these programs POSE Q.11a TO PARTICIPANTS ONLY 98 Don’t know/No answer 99 Other [SPECIFY: ] 11a. [POSE Q.11a ONLY TO PARTICIPANTS WHO RESPONDED WITH CODE 97 IN Q.11] [STATE THE FOLLOWING IF RESPONDENT IS...

AI summary The text outlines survey questions related to participation in Efficiency Nova Scotia (ENS) programs, targeting respondents who previously participated or considered participation. It includes response options and instructions for handling different types of responses.

Always 2 Usually 3 Sometimes 4 Rarely, or 5 Never VOLUNTEERED 8 Don’t know/No answer 26. [POSE Q.26 TO EVERYONE] How likely is your company to participate in any of Efficiency Nova Scotia’s business programs in the future? Would you say yo...

AI summary The text includes survey questions about participation in Efficiency Nova Scotia’s business programs and awareness of the organization. It asks respondents to rate their likelihood of future participation and their familiarity with and opinion of Efficiency Nova Scotia’s programs.

hich did not receive an impact or market 6 evaluation since it did not claim any savings in 2017 (please refer to section 1.3.2 7 for further discussion). 8 9 Impact evaluations assess net incremental energy and net peak demand savings, wh...

AI summary The document discusses the evaluation of program components, including impact and market evaluations, which assess energy savings and market conditions. It also mentions process evaluations for specific programs and support processes such as marketing, training, and incentive setting.

38,101 2 Includes estimates of low-income participation in program components where income is not disclosed. Estimates reported in previous quarters may have been updated and are 3 reflected in the YTD totals. Energy and demand savings are...

AI summary The text provides details on low-income participation estimates in energy efficiency programs, noting assumptions made when income is not disclosed. It highlights that participation rates are based on assumptions and may be revised in the future as methodologies improve. Savings and expenditures are calculated with considerations for free-ridership and spillover effects.

Table 3 Attachment 1, Page 13 of 20 Update on Implementation of 2016 Evaluation Recommendations Expected Recommendation Text Source Status Comments Period of Completion Identify the root causes of New Construction’s low participation. Alth...

AI summary The document discusses the need to identify the root causes of low participation in New Construction programs under the 2016 Evaluation Recommendations. ENS acknowledges the recommendation and plans to relaunch the service in Q2 2017, monitor feedback, and adjust as necessary. However, due to limited participant interviews, the Evaluator cannot provide detailed conclusions about barriers to participation.

returned surveys (up to the maximum). On a personnel-by-personnel basis, the Proponent(s) with the greatest number of returned surveys will receive full evaluation 21 Date Filed: May 30, 2018 Synapse IR-08 Attachment 1, Page 27 of 47 point...

AI summary The document outlines the evaluation process for proposals, emphasizing the importance of survey submission and the scoring methodology. It also explains that certain tables, such as Proposal Assumptions and Scope Review, will not be evaluated but will be reviewed after the selection process.

NON-CONFIDENTIAL 52 Table 3: 2017 Results - by Program Component Incremental Incremental Lifetime Annual Net Incremental Annual Net Net Energy Demand First Year Lifetime Avoided Lifetime Investment Energy Savings Savings at Eligible Partic...

AI summary The text presents a table titled '2017 Results - by Program Component' that includes metrics such as investment, energy savings, and participation data for various programs. It outlines incremental annual net energy savings, unit costs, and other relevant financial and environmental indicators.

1 Request IR-18: 6 9 12 13 Request IR-19: 18 21 24 27 30 37 40 44 - 2 Regarding Direct Installation program proposed for 2019 DSM plan: - 3 a. Is EfficiencyOne planning to include Affordable Multifamily Housing Pilot in Direct 4 Installati...

AI summary The document outlines questions regarding EfficiencyOne's 2019 DSM plan, focusing on the Direct Installation program, including proposed changes, participation targets, and savings distribution between lighting and non-lighting measures. It also inquires about additional programs beyond SBES and the inclusion of an Affordable Multifamily Housing Pilot.

Supply Agreement for Compliance Filing 45 SCHEDULE C 46 47 Performance Requirements 48 1. UARB-APPROVED PERFORMANCE TARGETS. THRESHOLDS. AND 49 INDICATORS 50 51 a) Performance Targets and Thresholds: 52 i. EfficiencyOne is deemed to be in...

AI summary This document outlines the performance requirements for EfficiencyOne under the UARB-approved Plan, including specific targets and indicators for energy and peak demand savings, ratepayer benefits, customer satisfaction, and low-income program participation.