Topic/Matter Intersection

Topic:"Efficiency Preferred Partner" in M09096

Matter: Approval of a Supply Agreement for Electricity Efficiency and Conservation Activities between EfficiencyOne (E1) and Nova Scotia Power Inc.(NS Power), the establishment of a final agreement between the parties, and approval of a 2020-2022 Demand Side Management (DSM) Resource Plan
22 passages 5 documents

Efficiency Preferred Partner across all matters →

E-1-1Application 1 passage
1 Table 2. EfficiencyOne first-year unit costs of lighting and non-lighting measures, for 2016 to 2018. p. p. 311
1 Table 2. EfficiencyOne first-year unit costs of lighting and non-lighting measures, for 2016 to 2018. 2016-2018 Results Residential 51.4 41.9 13.0 12.3 0.25 0.29 BNI 102.8 66.1 17.6 14.8 0.17 0.22 Enabling Strategies 3.3 3.3 154.3 107.9...

AI summary Table 2 presents the first-year unit costs of lighting and non-lighting measures for EfficiencyOne from 2016 to 2018, including data for residential, BNI, and Enabling Strategies programs.

E-3E1 (NSPI) RIRs to IR-1 to IR-69 4 passages
Section 784
ting process. We also found adding more detailed and explicit instructions on how to use the tools would improve the Manual. Table 2. Incentive Setting Manual Requirements

AI summary The text discusses the need for more detailed and explicit instructions on how to use tools in the Incentive Setting Manual, suggesting that this would improve the Manual.

Section 982
• Small Business Energy Study; 20 • Residential Socket Study; 21 • DSM data tracking system implementation; 22 • electronic Technical Reference Manual (eTRM) development; 23 • tracking quality assurance and participant satisfaction; 24 • t...

AI summary The document outlines various studies and initiatives related to energy efficiency, including a Small Business Energy Study, Residential Socket Study, and the implementation of a DSM data tracking system. It also mentions the development of an electronic Technical Reference Manual (eTRM) and efforts to track participant satisfaction and attitudinal metrics among Nova Scotian households.

Section 1637
Sku 9.4; 9.4-16 EL(=9.4 based on 8,000 hr manufacturer rated life & average operating hrs of 2.34/day [40]; 9.4-16 [38]) NG 15 EL and Measure Persistence EL (=20 years; operating hours 3.2 hours/day [7] for general exterior lighting and 12...

AI summary The text presents data on lighting fixtures and their energy efficiency, including manufacturer-rated life, operating hours, and measure persistence values from various sources. It includes references to different entities and studies, such as CALMAC and NG, and provides specific figures for different lighting types and regions.

Section 2008
program administrators should use a standard template to explicitly identify their state’s energy policy goals and to document their assumptions and methodologies. Among other things, the RFV proposes a template by which to assess to what...

AI summary The document discusses the need for program administrators to use a standard template to align with energy policy goals and the Resource Value Framework (RVF) principles. It mentions the National Efficiency Screening Project (NESP) and the adoption of cost-effectiveness guidelines by northeastern U.S. states inspired by the RVF framework.

E-42018 DSM Annual Progress Report 2 passages
Table 4: Residential EPR Rate Class Results p. p. 11
Table 4: Residential EPR Rate Class Results Re sidential Effic ient Produc ct Rebates - 2018 First-Year Energy Savings (GWh) Lifetime Energy Savings (GWh) Peak Demand Savings (MW) Expenditures ($ thousand) Units Rebated (#) Residential/Cha...

AI summary Table 4 presents the results of the Residential Efficient Product Rebates (EPR) program in 2018, showing energy and demand savings across various rate classes. The table includes metrics such as first-year and lifetime energy savings, peak demand savings, expenditures, and the number of units rebated. The data highlights the impact of the program, which includes components like Appliance Retirement and Instant Savings, targeting BNI participants.

Attachment 1, Page 15 of 30 p. p. 51
Attachment 1, Page 15 of 30 Recommendation Text Source Status Comments Expected Period of Completion Implement an internal procedure to identify and thoroughly review the most complex custom projects to ensure savings calculation accuracy....

AI summary The document recommends implementing a procedure to review complex custom projects for savings calculation accuracy. ENS should involve Custom Incentive Program personnel in reviewing these projects due to their expertise. This recommendation was implemented in 2018.

E-52018 DSM Evaluation Reports 14 passages
12 OVERALL SAVINGS OF THE RESIDENTIAL EFFICIENT PRODUCT PROGRAM p. p. 169
12 OVERALL SAVINGS OF THE RESIDENTIAL EFFICIENT PRODUCT PROGRAM Table 46 summarizes the participation levels, as well as gross and net savings for each Residential Efficient Product Rebates program component and the whole program.

AI summary Table 46 summarizes participation levels and gross and net savings for each component of the Residential Efficient Product Rebates program, as well as the overall program.

Preamble p. pp. 9-10
Installation rates represent the proportion of products recorded in the tracking sheet that remain installed in participants' homes. For products that were included in the 2017 evaluation, the Evaluator applied the installation rates estab...

AI summary The document discusses installation rates for various energy efficiency products under the Efficient Product Installation (EPI) program. It outlines how installation rates were calculated for different product types based on surveys and on-site visits. For example, installation rates for thermostatic shower valves and retractable clotheslines were derived from 2018 surveys, while LED holiday lights were assumed to have a 100% installation rate. The document also suggests adjusting the distribution timeline for clotheslines to improve accuracy.

Table 46: Revised Gross Energy and Peak Demand Savings by Product Category for EPI Single-family Homes p. pp. 21-22
Table 46: Revised Gross Energy and Peak Demand Savings by Product Category for EPI Single-family Homes L E D La m p s Ca f Pr du te t g or o o c y ig ig L E D N h l h t ts y L ig h ts t Ae uc e to ra rs 0. 5 g p m Re du io t c n 0. 7 5 g p...

AI summary Table 46 presents revised gross energy and peak demand savings by product category for EPI single-family homes, including data on LED, lamps, and other categories. It shows the number of units, installation rates, and percentages for different reduction levels.

Section 956 p. pp. 30-31
For EPI, participant spillover occurs when participants purchase and install additional energy efficient products, due to the influence of having previously participated in the program component, without receiving any additional support fr...

AI summary The document discusses participant spillover in the Efficient Product Installation (EPI) program, where participants install additional energy-efficient products after initial participation without additional program support. Survey results from 2017 and 2018 are used to determine spillover levels, with 3% for non-low-income owners and 4% for non-low-income tenants in 2018, down from 6% in 2017.

14 EPI RECOMMENDATIONS p. pp. 38-39
14 EPI RECOMMENDATIONS Having operated in the market for several years, EPI still succeeds in achieving high levels of participation and savings. Moreover, participant satisfaction remains very high. The biggest challenges for EPI in the c...

AI summary EPI has achieved high participation and satisfaction levels but faces challenges due to market saturation and declining opportunities for installing A-type LED lamps. ENS has diversified product offerings, and a key recommendation is to better inform participants about thermostatic shower valves to improve satisfaction and reduce removal rates.

Efficient Product Installation p. pp. 43-44
Efficient Product Installation Appendix XI EPI: Participant Survey Questionnaire Appendix XII EPI: Participant Survey Results Appendix XIII EPI: Detailed Calculations of Unitary Savings Values Appendix XIV EPI: Detailed Calculations of Equ...

AI summary The document contains appendices related to the Efficient Product Installation (EPI) program, including survey questionnaires, results, calculations of savings values, free-ridership algorithms, spillover methodology, and 2018 recommendations. These appendices support the evaluation and implementation of energy efficiency initiatives.

[ DO NOT ACCEPT A RANGE – ASK FR3 SEQUENCE IN ORDER/DO NOT RANDOMIZE] p. p. 131
[ DO NOT ACCEPT A RANGE – ASK FR3 SEQUENCE IN ORDER/DO NOT RANDOMIZE] - FR3aM2. If the service had not been offered, what is the likelihood that you would have taken the initiative to purchase low-flow showerheads at a store and then insta...

AI summary The text presents a series of questions aimed at assessing customer behavior in the absence of a service offering low-flow showerheads and showerwands. The questions explore likelihood of self-initiated purchase and installation, postponement of replacement, and purchasing multiple units without the service.

PA4 Score: FR3b p. p. 178
PA4 Score: FR3b FR3c. [ASK IF (LED bulbs / low flow showerheads and/or showerwands QUANTITY>1] If the service had not been offered, what is the likelihood that you would have purchased and installed all [QUANTITY] [LED bulbs/ your Showerhe...

AI summary This section of the proceeding asks respondents to consider the likelihood that they would have purchased and installed a specified quantity of energy-efficient products, such as LED bulbs or low-flow showerheads, without the service provided by EPI. The response is used to calculate a PA4 score, with a 10% weighting if the answer is unknown or referenced.

BER Recommendations p. pp. 70-72
BER Recommendations The 2018 impact evaluation revealed that the accuracy of reported savings had improved, especially for Mail-in. In addition, ENS has been proactive in adapting their Instant Rebates offerings to the evolving market by r...

AI summary The 2018 impact evaluation of the Business Energy Rebates (BER) program highlights the need for process improvements, including reviewing eligibility criteria, improving data tracking, connecting participants with non-lighting contractors, and analyzing incentive levels for non-lighting measures. These recommendations aim to enhance program performance and savings accuracy.

BER p. pp. 138-139
BER Appendix I - BER: Mail-in Participant Survey Questionnaire Appendix II - BER: Mail-in Participant Survey Results Appendix III - BER: Mail-in Interview Guide with Contractors Appendix IV - BER: Mail-in On-site Visit Sampling Methodology...

AI summary The document outlines various appendices related to the Bill-Entry Rebate (BER) program, including survey questionnaires, results, interview guides, sampling methodologies, savings calculations, and recommendations. These appendices support the evaluation and administration of the BER program.

p. p. 98
Initial Gross Savings Adjusted Gross Savings NTGR Net Savings Energy Savings ENS Tracked Savings 1.681 GWh 1.681 GWh 1.00 1.681 GWh Evaluation Results 1.681 GWh 1.548 GWh 0.94 1.455 GWh Peak Demand Savings ENS Tracked Savings 0.000 MW 0.00...

AI summary The evaluated gross energy savings were 8% below tracked values due to incorrect tracking of savings from capital projects. An adjustment to savings from a lighting project installed through BER Instant Rebates caused net savings to be 13% lower than tracked savings.

p. p. 101
Program Component 2017 2018 Program Process Market Impact Process Market Impact Residential Efficient Appliance Retirement R C C Product Rebates Program Instant Savings R R C C Home Energy Assessment C C R Existing Residential Program Gree...

AI summary The table outlines program components and their process and impact evaluations for the years 2017 and 2018, highlighting initiatives such as appliance retirement, home energy assessments, and strategic energy management under residential and business programs.

11.1 Description p. pp. 138-139
11.1 Description EMIS offers incentives in the form of rebates or zero-percent on-bill financing to help facilities reduce their electricity consumption through the implementation of an energy management information system. First introduce...

AI summary EMIS provides rebates and zero-percent on-bill financing to help industrial businesses and institutions reduce electricity consumption through energy management information systems. The program, which became a stand-alone component of the Custom Incentives program in 2015, includes audits, implementation plans, and technical support. In 2018, EMIS aimed for 0.90 GWh in net electricity savings and 0.2 MW in net peak demand savings.

SBES Energy Savings p. pp. 49-50
SBES Energy Savings The Evaluator reviewed ENS gross savings estimates using the information contained in the tracking sheet, the CIRx Screening Tool, and findings from the on-site visits. Overall, this review found continued improvement i...

AI summary The Evaluator reviewed ENS gross savings estimates for SBES Energy Savings, noting improvements in DIY project accuracy but significant adjustments due to inaccuracies in tracked HOUs and peak coincidence factors. Audit path savings were also adjusted due to various issues, leading to an overall adjustment ratio of 0.811. Free-ridership values from 2017 were reapplied in 2018, and spillover was found to be nil. Net energy and peak demand savings in 2018 were 9.589 GWh and 1.441 MW respectively.

E-7Practices & Procedures Evaluatoin: Site Visit Quality Assurance 1 passage
Preamble p. p. 20
The other two program administrators also use site visit data to identify contractors whose projects do not comply with program standards. The administrators offer these contractors additional support and education to help bring them into...

AI summary The document discusses how program administrators use site visit data to ensure compliance with program standards, including providing support to underperforming contractors and reducing the number of inspections for high-quality work. Alternative methods like desk or phone inspections and remote sensing are used to verify installations efficiently. ENS uses random sampling with intentional inclusion of 'red flag' projects and those exceeding savings thresholds.

Disclaimer: These summaries were generated by AI from the filings they describe. We take care to make them accurate, but errors are possible - and they aren't advice. Only the filings themselves are the record: if you're relying on something here, confirm it against the source documents or the Nova Scotia Energy Board's own record. Full disclaimer →