E-3ENSC 2011 DSM Evaluation Report prepared by Econoler
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valuation plan can be tailored to the specifics of a given program. However, a certain amount of basic information is typically included in evaluation plans. The table below presents such information. Table 12: Information Typically Contai...
AI summary The text outlines the typical components of an evaluation plan for a program, including the program description, marketing strategy, partners, evaluation window, objectives, and metrics for monitoring and realizing program targets.
LIR-R3 Increase the number of on-site visits to validate product installation: During the 15 on-site visits conducted for this evaluation, Econoler noted that a removal phenomenon existed for CFLs, and more significantly for LED nightlight...
AI summary The evaluation of the program recommends increasing on-site visits to validate product installations and collecting more detailed data, such as heating types and air conditioning usage, to improve the precision of savings evaluations and impact assessments.
ram asset by Econoler. The online booking may contribute to the positive evaluation of survey respondents as to the ease of participation in the program (see Section 3.7.1 for additional information). As part of the evaluation, Econoler no...
AI summary The evaluation of the ARET program highlights high satisfaction among program partners with ENSC’s team and overall program. While the delivery agent found the participation process simple, the transport contractor noted some complexity due to logistics. Complaints included missed pick-ups and lost cheques. The program name change was viewed differently by partners, with some preferring the old name for its user-friendliness.
Efficiency Nova Scotia Corporation 2011 Evaluation Report Nine in 10 respondents found the process of scheduling the time for pick-up easy (90%), or a mean score of 4.6, which is consistent with findings from last year. From the three resp...
AI summary The 2011 Evaluation Report indicates that 90% of respondents found scheduling pick-up times easy, with a mean score of 4.6, consistent with the previous year. A small number of respondents faced challenges, such as difficulty contacting someone or unavailability of program representatives.
s there a process flow chart for that program? The web site explains all the steps but there is no illustration. Q: was there an evaluation plan associated to that program when it was first designed? Q: Nowhere do we see the role of the de...
AI summary The document includes a series of questions and comments related to the evaluation and implementation of the Efficient Products – Appliance Retirement Program by Efficiency Nova Scotia Corporation. Questions focus on program design, evaluation plans, delivery processes, and barriers to customer participation.
fficult task. To be discussed with PM. Q: Do you have the source and detail related to the 1608 kWh for the old fridge (this is without degradation factor) so in theory it should be higher? Page 59 C: In figure 2-2 we think that the bubble...
AI summary The text includes a series of questions raised during an evaluation of the Appliance Replacement Program by Efficiency Nova Scotia Corporation. Topics include program name changes, participant confusion, evaluation methods, and the effectiveness of the program's design. Questions also address data sources, evaluation plans, and challenges in implementation.
concerns are related to CFLs (too dim, presence of mercury, etc.). Questions to investigate these barriers were included in the participant survey. It appears that only one respondent out of 70 has Ref.: 5725 10 Efficient Products – Low In...
AI summary The document discusses concerns about CFLs, including their dimness and mercury content, and mentions that only one out of 70 survey respondents expressed concerns about mercury. It highlights the need to monitor program barriers and adjust marketing strategies. The DA suggests using NSPI's customer database to target eligible participants, while ENSC must determine if this data is accessible.
ion report) and we hope that they will contribute to improving program performance. If we need to clarify some of your answers, we might call you back. Your name Date Phone number E-mail Ref.: 5725 54 Efficient Products – Multi-Unit Reside...
AI summary This document is a participant survey questionnaire from Efficiency Nova Scotia Corporation's 2011 evaluation report for the Multi-Unit Residential Renter Program. It aims to gather feedback from participants to improve program performance.
y the DA to the facility manager, such as technical information regarding the use of the products installed through the program. This approach aimed to ensure that program delivery goals would be met. The methodology used for the on-site v...
AI summary The EP-DI program conducted on-site visits and a telephone survey with 70 participants to evaluate program impact and participant experiences, including motivations, barriers, and satisfaction. The survey aimed to understand program features and included data on sampling error.
Efficiency Nova Scotia Corporation 2011 Evaluation Report 2.2.4 On-Site Visits In October, two on-site visits were conducted at new houses in which measures from the Performance Plus program had been implemented. The visits were conducted...
AI summary This section of the 2011 Evaluation Report discusses on-site visits conducted to validate the Performance Plus program's implementation and a participant survey to assess program features such as participant awareness, involvement, motivations, and satisfaction. These activities were carried out by Econoler's subcontractors.
lent communication tool for the program. Word of mouth was also mentioned as an important source of awareness, which should be considered as a strong indicator of program satisfaction. Satisfaction Satisfaction towards the program is high...
AI summary The Business Energy Rebates (BER) program has high participant satisfaction, with many expressing contentment with the program's communication and effectiveness. Recommendations for improvement include better marketing and increased customer interaction. Program energy savings were calculated by Econoler, accounting for free-ridership and internal spillover effects, resulting in a 17.6% free-ridership rate and 0.2% spillover rate.
ates, Inc. (CRA), from its offices in Halifax, NS. The interviews were conducted in October utilizing computer-assisted telephone interviewing (CATI). The average length of the survey was 18 minutes. Ref.: 5725 4 Business Energy Rebates Pr...
AI summary The Business Energy Rebates Program evaluation report discusses a participant survey conducted in 2010 and 2011 to assess program participation, awareness, motivations, and satisfaction. The survey used computer-assisted telephone interviews and included a sample size and sampling error analysis.
an you comment on that recommendation? BER-R1 What is the status of this recommendation about the free-riders (46%) is it the 3 questions you ask in the application form available from your web site? BER-R2 Are you using more contractors a...
AI summary The document discusses the Business Energy Rebates program, including questions about free-ridership, application processes, data collection, and the handling of non-admissible incentive requests. It also references an evaluation report and application forms.
ts of the program since savings on energy cost and program incentives are still the main participant motivations. Table 8: Participant Motivations
AI summary The text discusses the primary motivations of program participants, highlighting energy cost savings and program incentives as the main drivers. A table is referenced, but its content is not detailed in the provided text.
Efficiency Nova Scotia Corporation 2011 Evaluation Report The methodology used for the on-site visits for the SBES program is further explained in the program impact evaluation section of this report. A copy of the site visit protocol is i...
AI summary The 2011 Evaluation Report discusses the methodology used for on-site visits in the SBES program and mentions a participant survey conducted by Econoler’s subcontractor, CRA, involving 61 participants. The survey aimed to understand program features such as participant motivations, satisfaction, and future intentions.
120102012 DSM Evaluation Reports
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Table 22: Recommendations for Multi-Unit Residential Buildings No. Recommendations MURB-R1. Analyze the possibility of rewarding building superintendents' support: The new marketing strategy, which involves direct collaboration with landlo...
AI summary The document recommends analyzing ways to reward building superintendents for their support in energy efficiency programs, continuing to provide information on energy efficiency to multi-unit renters, and collecting data on installed products per tenant unit for better planning and tenant engagement.
rogram overall and most of its aspects. The two aspects less satisfactory were the wait times required to confirm eligibility and receive rebates. Despite the above, satisfaction was generally strong. The program saw a total of 155 project...
AI summary The program overall was well-received, with high satisfaction levels, though wait times for rebate confirmation were a concern. In 2012, 155 projects were implemented, resulting in 28.941 GWh in net energy savings and 3.490 MW in demand savings. Evaluation methods included on-site visits and technical documentation reviews, with adjustments made for free-ridership and internal spillover.
The net energy savings resulting from this evaluation were compared to the energy savings estimations from the 2012 tracking sheet. The following table details the final evaluated and tracked impacts for 2012.
AI summary The net energy savings from an evaluation were compared to the 2012 tracking sheet estimates. A table details the final evaluated and tracked impacts for 2012.
4.1 OBJECTIVE AND APPROACH OF THE IMPACT EVALUATION The impact evaluation is aimed at determining the gross and net savings of the program for 2012. Both energy and demand savings were examined in this evaluation. To do so, the following p...
AI summary The impact evaluation for 2012 assesses the program's gross and net energy and demand savings. Key parameters analyzed include unitary savings values, installation rates, demand-to-energy ratios, interactive effects, free-ridership, and spillover. Econoler validated data sources, conducted on-site visits, and used participant surveys to measure free-ridership and spillover effects.
4.4.2 Internal Spillover The internal spillover effects of the program were also measured through the participant survey. Internal spillover can occur when participants purchase eligible energy-efficient products following their previous p...
AI summary The internal spillover effects of the program were measured through a participant survey. Participants were asked if they purchased additional energy-efficient products after program participation, and the level of influence was calculated. The results showed a 3% internal spillover effect among non-low-income participants, with 76% influence on additional purchases.
Sampling error The amount of inaccuracy in estimating some value that is caused by examining only a portion of a population (i.e. a sample) rather than the whole population. Sample size The number of observations or replicates included in...
AI summary The text defines key statistical and energy efficiency terms, including sampling error, sample size, spillover, and tracked savings, which are relevant to program evaluations and energy efficiency initiatives.
4.1 OBJECTIVES AND APPROACH OF THE IMPACT EVALUATION The Custom Retrofit impact evaluation aims at determining the gross and net savings for the year of 2012. Both energy and demand savings were considered in this evaluation. To do so, Eco...
AI summary The Custom Retrofit impact evaluation for 2012 determined gross and net energy and demand savings by analyzing project documents, on-site visits, and participant surveys. Adjustments were made using an overall adjustment factor and NTGR to account for free-ridership and internal spillover effects.
nd non-electric savings in 2012 were automatically selected in the sample. - > Participant's market sector: The participants' market sector is another factor that may influence project impacts. Actually, a project's feasibility and financi...
AI summary The sampling process for evaluating custom retrofit projects in 2012 considered factors such as project type, size, market sector, and location. Projects in industrial, commercial, or municipal sectors and those near urban areas were prioritized. A total of 31 projects were selected for evaluation.
CONCLUSION The 2012 evaluation of Custom Retrofit demonstrated that the program had undergone a series of positive changes that helped to improve and simplify its implementation and evaluation. Custom Retrofit was initially one of the two...
AI summary The 2012 evaluation of the Custom Retrofit program showed improvements in implementation and evaluation processes, including the use of new tools and increased collaboration with contractors. While satisfaction was high, wait times for eligibility and rebates were less satisfactory. Energy savings slightly decreased compared to 2011 due to adjustments for free-ridership and internal spillover.
5.2.13 Installation Rate For this year's evaluation, 30 on-site visits were conducted to mainly validate whether the products were properly installed according to the information contained in the tracking sheet and, if possible, to establi...
AI summary This section describes the evaluation process for installation rates, involving 30 on-site visits to verify product installations and calculate installation rates based on data collected and compared to tracking sheets.
The table below presents comparisons between the energy and demand savings established by this evaluation and those calculated in the 2012 tracking sheet.
AI summary The text references a table comparing energy and demand savings from the current evaluation with those from the 2012 tracking sheet, highlighting changes or differences in the data over time.