E-1Evidence - 2012 DSM Plan 2/28/2011
17 passages
7. COMMUNICATING DSM BENEFITS The UARB Decision on the 2011 DSM Plan highlighted the importance of communicating benefits of DSM to the general public. 16 Nova Scotians are investing significantly in DSM programs now and in the years ahead...
AI summary The UARB Decision on the 2011 DSM Plan emphasizes the importance of communicating DSM benefits to the public. DSM is highlighted as a cost-effective and environmentally friendly approach to energy efficiency, contributing to Nova Scotia's energy and environmental goals. ENSC plays a key role in promoting energy efficiency and supporting the province's economic and environmental objectives.
Education and Outreach: The Plan includes continued investment to communicate the benefits of DSM to increase awareness of, and participation in, DSM programs. Development and Research: ENSC continues to gather information about markets an...
AI summary The Plan emphasizes continued investment in education and outreach for DSM programs, development and research into new energy-saving opportunities, innovative financing strategies, and support for advanced building energy codes and labelling policies in Nova Scotia.
11. MULTI-FUELS MANDATE The recommendations of the 2008 Wheeler Report, while focusing on the creation of an independent administrator for electric DSM, suggested that consideration be given, "for reasons of longer term cost-effectiveness...
AI summary The 2008 Wheeler Report recommended that ENSC become a single administrator for multi-fuel efficiency measures. The ENSC Act outlines ENSC's objectives, including administering electricity demand-side management and energy efficiency programs. ENSC is working with the Nova Scotia Department of Energy to finalize a multi-fuels mandate, aiming to streamline programs and reduce costs.
Supra , note 10, para. 128. 1 2 13. SAVINGS FROM THE ADOPTION OF ENERGY-EFFICIENT CODES AND STANDARDS 3 4 In this filing, ENSC has reported energy savings attributed to the adoption of codes and 5 standards from two sources: a new resident...
AI summary ENSC has reported energy savings from the adoption of new residential energy codes and federal standards for general-service lamps. The residential code, effective since 2010, requires new homes to meet an EnerGuide rating of 80. A federal standard for lamps, set to phase out inefficient bulbs starting in 2012, is also expected to contribute to savings. Additional codes and standards, including commercial lighting regulations and updated building codes, are under development and may contribute to future savings.
OPPORTUNITIES TO ENHANCE 2011 PLAN SAVINGS A key element of this project was a program-by-program overview of current DSM activities. Overall, our review has found that ENSC is inheriting a solid foundation of existing programs, organized...
AI summary This document reviews the 2011 Demand Side Management (DSM) plan and identifies opportunities to enhance savings. It highlights the solid foundation of existing programs and suggests improvements, particularly in residential retrofit, fuel substitution, and new behavioral initiatives. It also emphasizes the potential of commercial and industrial programs and recommends enabling strategies to support long-term goals.
ENSC Electricity DSM Review Program / Scope of POTENTIA L SAVINGS PRINCIPAL RECOMMENDATIONS Financing Policy Major New Initiative Expand on-bill financing to residential Transferable financing (on-bill or PACE) Building Labelling Policy Ma...
AI summary The ENSC Electricity DSM Review outlines several major new initiatives and recommendations, including expanding on-bill financing, supporting building labelling policies, exploring code compliance, developing training programs, creating a renewable heating strategy, and leveraging government partnerships to drive energy efficiency and sustainability efforts.
4 N.S. Alternative Ramp-Up Schedule (illustrated) 14 Although one North American jurisdiction (Vermont) has achieved more than 2.5% of total demand via voluntary DSM programs, it is important to note that residential lighting savings contr...
AI summary The document discusses the challenges in replicating Vermont's DSM success due to changes in CFL market penetration and Canadian standards. It also highlights the discrepancy between IRP and ENSC savings targets, noting the need for clarity in defining these targets and the potential impact of short-term changes on NSPI's ability to meet carbon and renewable content requirements.
On the other hand, the cost of savings related to non-program initiatives like codes and standards will be significantly lower. Furthermore, it is worth recalling that a part of the reason for increased voluntary program unit costs is that...
AI summary The text discusses how non-program initiatives, such as energy codes and standards, can lead to lower costs and may reduce the need for program-related savings. It suggests that combining ENSC programs with non-program savings could achieve long-term savings targets within the current budget. Additionally, non-program strategies like mandatory building energy labeling and property-assessed financing may help reduce unit costs.
2012 DSM PLAN ESTIMATES ENSC s staff, consultants, and NSPI colleagues are currently developing 2012 program designs and resulting savings estimates. It remains to be seen to what degree total forecast program savings will meet the IRP s o...
AI summary ENSC is working on 2012 DSM program designs and savings estimates, aiming to meet the IRP's DSM target. The feasibility of these estimates and the assessment of nonprogram savings are emphasized. ENSC may also project future DSM targets and address potential shortfalls with long-term savings.
EXISTING PROGRAMS – ENABLING STRATEGIES ENSC has inherited an existing Education & Outreach program and a Development & Research program. Both are important, and we suggest that D&R in particular could be expanded to foster longer-term sav...
AI summary ENSC has inherited existing programs and proposes expanding the Development & Research program to support long-term savings. ENSC can lead initiatives in financing, codes, building labeling, and renewable heating to achieve DSM targets and stimulate economic opportunities. These efforts will have limited impact before 2013 but must start now.
ENSC Electricity DSM Review Regardless of the method employed, it would be reasonable to give energy-savings credit toward goals to ENSC for any savings achieved relative to actual baseline (not necessarily code), including bringing new co...
AI summary ENSC suggests that energy savings from new construction meeting or exceeding building codes should be credited toward DSM goals. It highlights successful training efforts in support of new energy efficiency codes and outlines potential roles for ENSC in promoting and enforcing codes. The contribution of code and standard activity to long-term DSM targets is considered very significant, citing California's experience.
ENSC Electricity DSM Review - demand will continue to exist. Experience from other jurisdictions shows how important it is to avoid interruptions in program delivery or year-to-year uncertainty about program existence. - E. Market-Transfor...
AI summary The document discusses strategies for market transformation and reducing barriers to entry in Nova Scotia's energy efficiency industry, including mandatory building labelling, subsidies for training and certification, and leveraging third-party certifications. It emphasizes the importance of long-term strategies and local economic benefits from DSM programs.
APPROACH In characterizing the potential market for fuel substitution measures, we relied on three principal data sources: - The Nova Scotia Statistical Review 2007 - Two online surveys conducted by NSPI among its Customer Online Advisory...
AI summary The analysis of the potential market for fuel substitution measures relied on data from the Nova Scotia Statistical Review 2007, the Energy Usage Study (EUS), and the 2010 Fuel Switching Study (FSS). The EUS and FSS were used to characterize the market, with the average of both surveys used where applicable. Limitations include lack of housing type breakdown, ambiguous responses, and reliance on intentions rather than historical data.
OVERALL MARKET Based on the results of the EUS and FSS surveys, approximately 37% of existing homes report electricity as their principal heating fuel in Nova Scotia. 3 Among electrically-heated homes, 77% use electric baseboards (EBB) as...
AI summary The document discusses the overall market for a program in Nova Scotia, based on the Energy Usage Study (EUS) and Fuel Switching Study (FSS). Approximately 37% of homes use electricity as their primary heating fuel, with 77% using electric baseboards. The market is segmented by gas access and heating system type, and homes with non-electric secondary heating may be excluded from the program.
5 Baseline Annual Conversions of Principal Heating Systems Fuel Survey Implications Final Adjusted Assumption for boilers or furnaces Notes Wood 330 30 Survey results appear unlikely to involve conversions to boilers/furnaces, assume 90% a...
AI summary This section discusses baseline annual conversions of principal heating systems, including assumptions made for wood, wood pellets, and gas. Adjustments are based on survey results and historical conversion rates, with notes on the interpretation of survey data.
SECONDARY HEATING SYSTEMS FSS respondents were asked about their intentions to add or replace a secondary heating system in the next three years, with 4% indicating definitely, and 10% indicating probably. Of these, 23% indicated they were...
AI summary The document discusses survey responses regarding intentions to add or replace secondary heating systems over the next three years, with 4% definitely planning to do so and 10% probably. Of these, 23% plan to replace existing systems, and 27% are interested in wood pellets and 15% in wood stoves. The analysis uses assumptions similar to those for principal heating systems and estimates that around 1400 households will add secondary heating systems annually.
DOMESTIC HOT WATER No survey results were available for intentions to convert domestic hot water (DHW) to natural gas (the only standalone cost-effective DHW fuel). Instead, we relied upon information from Heritage Gas. Heritage Gas estima...
AI summary The document discusses the conversion of domestic hot water systems to natural gas, citing Heritage Gas estimates that 90% of new residential customers switching fuels choose natural gas for DHW. It also references survey data indicating that 36% of oil-heated homes have electric DHW, and estimates a baseline conversion rate of 60 conversions per year.
E-22010 DSM Evaluation Reports - Final Report - February 28, 2011 2/28/2011
85 passages
s had been responsible for specifying the reach with customers. Contractors and design professionals measures that were installed through the BER program. In addition, represent channels that may be effectively utilized to promote the seve...
AI summary The BER program was primarily motivated by financial benefits such as energy savings and program incentives. Contractors and design professionals were key in specifying installed measures. The evaluation highlights the importance of emphasizing energy and bill savings in promoting participation.
Program Finding Recommendation New NH-F1. NH-R1. Houses Implementation of the NH program entailed multiple phases and a Under these circumstances, the program has two choices for its Program variety of people were involved in delivering th...
AI summary The New Houses Program (NH) has evolved into a heat pump program, with recommendations to raise EnerGuide (EG) ratings to 85 or 90 over time or shift to direct incentives for specific measures to improve cost-effectiveness and efficiency.
n-depth interviews with DSM Administrator staff and implementation contractors as well as telephone surveys with 16 store managers, including nine with chain retailers and seven with independent retailers. All the interview guides and surv...
AI summary The evaluation of the 2010 Power Down Program involved interviews and surveys to estimate energy savings, using data from previous studies and databases like CALMAC and CEE. The findings include first-year energy and demand savings estimates, accounting for line losses and interactive effects of heating.
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, based on data from program records and studies like the New England markdown study. It also references the Residential Line Loss Factor from Nova Scotia Power, Inc.
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 evaluates the 2010 Power Down Program, referencing studies on energy savings from lighting upgrades. It uses data from the OPA and NMR's evaluation of the Efficiency Maine Lighting Program, estimating annual savings per unit based on fixture usage and displacement of wattage.
that were rebated through the program in 2010. Some respondents had not worked at the store or in the department in 2009 and would not venture an estimate, which accounts for the smaller sample sizes. Table 7-3: Average Percent Rebated Pro...
AI summary The text discusses data on the average percent of rebated product sales for ENERGY STAR refrigerators and clothes washers during different periods in 2009 and 2010, highlighting variations between chain and independent retailers.
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, highlighting that electronic thermostats and high-efficiency heat pumps were particularly effective, while ETS measures like hot air furnaces were less effective. It also notes improved comfort and reduced drafts in homes following program upgrades.
ter systems. Energy Evaluators input pre-retrofit information into HOT2000 software and upload the data to NRCan. The Energy Evaluators prepare a pre-retrofit report that includes an initial EnerGuide rating and recommendations for energy...
AI summary The 2010 Existing Houses Program involves pre- and post-retrofit evaluations using HOT2000 software, with Energy Evaluators submitting data to NRCan. Homeowners receive rebates after retrofit activities. The program assumes sufficient marketing, outreach, and availability of evaluators.
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 energy savings calculations using EnerGuide ratings for projects under the EEH program. It provides an example of how savings are calculated based on pre- and post-audit EnerGuide ratings and outlines the average ratings and most common prescriptive measures implemented.
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 impact of the program by matching results to EnerGuide ratings and calculating the relationship between EnerGuide point differentials and savings differentials. The data included 156 projects missing D audit EnerGuide ratings, and participants installed an average of 1.26 programmable thermostats per home, often due to the presence of electric baseboard heat.
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 NMR conducted on-site visits for the 2010 EnerGuide for Existing Houses Program, finding that contractor services were professional and comprehensive. Energy Advisors performed thorough audits and tests, and participants noted immediate benefits such as reduced electric bills.
6% NMR Evaluation of 2010 EnerGuide for Existing Houses Program Page 27 Table 3-8 shows measure uptake (installations as a percentage of recommendations), estimated annual energy savings, EEH program incentive amount, and cost per kWh of a...
AI summary This section evaluates the 2010 EnerGuide for Existing Houses Program, highlighting the Measure Effectiveness Index and Measure Opportunity Index derived from installation rates, energy savings, and incentive amounts. Electronic thermostats and high-efficiency heat pumps were identified as particularly effective measures.
ry dissatisfied with your experience with that specific aspect of the program. V.Satisf Satisf Neither Dissat V.Dissat DK/Ref 10a. The First Energy Audit Overall 1 2 3 4 5 9 This was the first audit of your home's energy use that identifie...
AI summary The text presents a series of survey questions related to customer satisfaction with the energy audit process and rebate programs, focusing on aspects such as the first and final energy audits, scheduling, information provided, and rebate satisfaction.
logy is described in detail in Appendix A. 8 Details of this analysis can be found in Appendix A. 9 The normal temperatures used in this analysis are based on the historical daily temperatures. NMR Evaluation of 2010 Low Income Households...
AI summary The document evaluates the 2010 Low Income Households (LIH) program by comparing participant and control group Normal Annual Consumption (NAC) before and after program participation. Two methods—Augmented Comparison Method (PRISM) and Regression—were used to estimate energy savings.
e average control group pre- and post-installation usage along with the participant data were used to estimate net savings. Table 2-5 shows the mean savings for the program derived from this analysis. Table 2-5: Comparison of 2009 Net Savi...
AI summary The evaluation of the 2010 Low Income Households (LIH) program uses control group data and participant usage to estimate energy savings. Table 2-5 shows mean savings by stratum, with overall net savings of 13%. The distribution of savings is roughly normal, and initial analysis confirms the program's impact on reducing electric consumption.
Wh 42 0.50 7,421 767 10% >12,000 kWh 20 0.25 19,265 316 2% Total 87 1.00 9,548 586 6% One of the fundamental assumptions of regression is that the standard error of the error terms (or residuals) has a constant variance across the range of...
AI summary The text discusses heteroscedasticity in regression models, particularly in the context of cross-sectional data. It explains that heteroscedasticity can lead to mis-estimation of confidence intervals. A residual plot is referenced to show the relationship between predicted savings and error terms, though no strong correlation is observed.
= Absolute Relative Deviation Uc = Annualized Usage for Potential Control Group Member Up = Annualized Usage for Participant For each participant, the control group pool customers with the smallest absolute relative deviation in the annual...
AI summary The text describes a methodology for selecting control group members based on annualized usage and absolute relative deviation, and outlines the use of the PRISM algorithm for temperature normalization in energy consumption analysis.
(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 uses a mathematical model to estimate energy consumption based on temperature relationships. The model calculates normalized annual consumption (NAC) using parameters derived from degree days and a reference temperature, capturing unique space conditioning characteristics for each customer.
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 use of the PRISM methodology in evaluating energy consumption, specifically the heating and cooling models (HCM) used to analyze electric consumption data. It introduces the heating only model (HOM) and cooling only model (COM), and explains the expansion of the PRISM approach to account for both heating and cooling loads using a regression equation.
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 based on heating and cooling degree-days. It highlights the standard PRISM approach and its limitations, particularly regarding base load estimates and the impact of varying billing cycle lengths. An augmented PRISM approach is introduced to mitigate these biases.
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 describes a methodology for selecting optimal models to represent temperature versus usage relationships by minimizing MSE and re-analyzing poor-performing models. It outlines a four-step approach to refine models based on R2 statistics and estimates Normalized Annual Consumption (NAC) using normal temperatures. The section also introduces two methods for evaluating the LIH program: the Augmented Comparison Method (PRISM) and the Regression Approach.
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 document discusses the methodology for evaluating energy savings from the 2010 Low Income Households program using the Augmented Comparison Approach. It outlines the use of normalized annual consumption (NAC) to calculate gross and net energy savings by comparing pre- and post-program data for both participant and control groups.
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 document presents two regression models used to evaluate the impact of energy efficiency programs on normalized annualized consumption. Equation 8 is a simple regression model, while Equation 9 is the final model chosen after testing variations. The final model includes an interaction term between the participation indicator 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.
sticity is present, the OLS regression coefficients are unbiased estimates of the true parameters, but they are subject to greater statistical variation than the appropriate estimates. Moreover, the standard errors produced by the OLS regr...
AI summary The text discusses the statistical implications of using OLS regression in the presence of heteroscedasticity, noting that while OLS coefficients are unbiased, they have greater statistical variation and biased standard errors. It also explains the use of confidence intervals to estimate true parameter values with a defined probability.
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 effectiveness in estimating parameters under a heteroscedastic model. It outlines the process of selecting the best z variable for WLS by minimizing the root mean square error (RMSE) and performing residual analysis.
Program Participation and Incentive Structure Finding Recommendation NH-F1. NH-R1. Implementation of the NH program entailed multiple phases and a Under these circumstances, the program has two choices variety of people were involved in de...
AI summary The NH program's implementation involved multiple phases and stakeholders. With the EnerGuide 83 minimum requirement, many homes could achieve this rating through heat pump installations, making the program effectively a heat pump initiative. The recommendation suggests raising the EnerGuide level to 85 or 90 over time or exiting the EnerGuide system to provide direct incentives for specific measures.
Program Administration and Delivery Finding Recommendation NH-F7. NH-R7. The program underwent changes in the past year including changing ENSC should work to provide a cohesive program with its name as well as changes in program requireme...
AI summary The New Houses (NH) program has undergone changes, including a name change and updates to requirements and incentives, which have caused confusion among builders. There is a need for clearer communication and better training regarding the Nova Scotia building code, the NH program, and the HOT2000 report. Program delivery agents also found the review of HOT2000 reports to be time-consuming.
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 document discusses energy efficiency measures in new residential homes in Nova Scotia, including issues with modeling insulation and thermostat savings, EnerGuide ratings, and program rebates. It highlights the need to revise program objectives to reduce administrative costs and leverage existing building code requirements.
houses achieving an EnerGuide rating of 85 or higher qualified for an additional $300 rebate. For homes registered on or after September 7, 2010, the program no longer offers registration fee rebates. 2.1.1 Program Theory Program Backgroun...
AI summary The 2010 New Houses (NH) program in Nova Scotia aimed to improve energy efficiency in new homes through market transformation and resource acquisition. It was administered by Conserve Nova Scotia (CNS) and involved collaboration with Natural Resources Canada (NRCan). The program required homes to achieve an EnerGuide rating of 80.5 and offered rebates for higher ratings. It included activities such as training delivery agents and energy evaluators, and engaging builders and developers.
house construction. Helping them to specify energy efficient construction practices and measures for houses will ensure long-term savings. Marketing and outreach. The program utilizes advertising directed to commercial and private builde...
AI summary The document outlines a program aimed at promoting energy-efficient construction practices in new homes. It includes marketing efforts, registration and modeling of house plans, construction activities, and evaluation of completed houses to ensure compliance with energy efficiency standards.
Home owners receive rebates and incentives. Home owners receive rebates for applicable energy efficiency measures from the provincial government and the DSM Administrator. Intermediate Outcomes Energy savings and bill reductions. Energ...
AI summary The program provides rebates and incentives to homeowners for energy efficiency measures, leading to energy savings, bill reductions, and increased awareness. Over time, the program aims to standardize energy-efficient construction practices, increase consumer demand for energy-efficient homes, and revise the Nova Scotia building code to reflect widespread adoption.
tock of energy efficient houses across Nova Scotia. Nova Scotia building code is revised. Building code in the province is revised to be consistent with the widespread adoption of the energy efficient building practices. Sustained ener...
AI summary The document outlines the impact of the New Houses Program in Nova Scotia, focusing on energy efficiency improvements, code revisions, and energy savings achieved through increased demand for energy-efficient homes, which also reduces the need for new generation plants.
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 outlines energy savings estimates for the 2010 New Houses Program, noting 1,700 MWh at the meter and 1,900 MWh at the generator. Savings were calculated using an EnerGuide rating baseline of 73 and a line loss factor. Three homes were excluded due to not being invoiced yet.
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 how energy savings are calculated for a participating home with an EnerGuide rating of 80, including the installation of a solar domestic hot water heating system and two programmable thermostats. It references evaluations by NMR from 2010 and an Ontario Power Authority report for estimating savings.
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 did not adjust heating systems or insulation values, as these were influenced by the program. The 25 sampled homes were more efficient than the rest of the program's 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 updated baseline home has a higher annual energy consumption compared to the 2009 baseline home, which 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 gross area, construction details, and energy ratings. The data compares participating homes from 2010 with the updated baseline, showing minor differences in measurements and a notable decrease in EnerGuide ratings.
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 created a code upgrade baseline home to account for homes built after June 30, 2010, which would have been permitted after December 31, 2009 and built to meet new residential building code requirements. This baseline home reflects updated 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 document compares the energy consumption of two baseline homes under the 2010 New Houses Program. 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.
74 80 Annual Electricity Consumption (kWh) 33,740 26,605 20 Nova Scotia Labour and Workforce Development, Nova Scotia Building Code Regulations (Halifax, NS 2009), 112. 21 After adjusting the insulation values and the efficiency of the wat...
AI summary The text discusses the evaluation of the 2010 New Houses Program, focusing on annual electricity consumption, EnerGuide ratings, and insulation adjustments. It references the Nova Scotia Building Code Regulations and assumptions made regarding heating efficiency and water heater storage capacity.
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 savings value per EnerGuide point from 611 kWh to 1,131 kWh, based on a sample of 25 program homes. This increase was due to larger building components in 2010 homes and improved efficiency compared to 2009 homes, resulting in higher electricity 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 baseline homes were used: one with an EnerGuide rating of 74 and another with 80, reflecting different code periods. The analysis compared electricity savings per EnerGuide point between the tracking database and the updated baselines.
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 and achieved estimated energy savings of 1,321 MWh at the meter and 1,478 MWh at the generator. Initial demand savings were calculated using an energy-to-demand ratio of 6.8, but this was validated with a ratio of 7.5. Additional demand savings from ETS units were included, resulting in total demand savings of 1,574 kW at the meter and 1,761 kW at the generator.
Total Savings (MWh) 1,321 1,478 Demand Savings (kW) 1,574 1,761 3.5 REM/Rate Validation of HOT2000 In the final segment of our analysis, we compared the calculated savings for a sample of program homes using both the HOT2000 software and R...
AI summary The document compares energy savings calculations from HOT2000 and REM/Rate software for the 2010 New Houses Program. It highlights the use of REM/Rate for validation, noting its widespread adoption in the U.S. and its use by the EPA for the ENERGY STAR Homes program. The analysis aims to verify the accuracy of HOT2000 in modeling program savings.
m/products/remrate NMR Evaluation—2010 New Houses Program Page 25 3.5.1 Comparison of Savings The NMR team recreated a sample of ten participating projects and each of the baseline homes in the REM/Rate software. The ten projects were sele...
AI summary The NMR team compared savings calculated using HOT2000 and REM/Rate software for the 2010 New Houses Program. Results showed small differences between the two programs, suggesting HOT2000 can accurately calculate program savings.
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 text discusses differences in energy consumption modeling between HOT2000 and REM/Rate software, noting that REM/Rate accounts for duct leakage, which HOT2000 does not, leading to a 9% higher annual energy consumption estimate in REM/Rate. The text also mentions limitations in extracting window characteristics from HOT2000 files.
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 evaluation of the 2010 New Houses Program highlights differences in energy consumption estimates between REM/Rate and HOT2000 software. REM/Rate adjusts electricity consumption based on home size, while HOT2000 assumes consistent consumption regardless of size. Differences are attributed to data extraction methods, lack of on-site information, and variations in weather data and internal calculations.
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 new homes in Nova Scotia, noting that adding a heat pump can increase the rating. It also highlights that participation in the New Houses program may be driven by incentives for achieving higher EnerGuide ratings, with a significant proportion of participants installing heat pumps.
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 the motivations and barriers to participation in the New Homes (NH) program in Nova Scotia. Builders and homeowners were motivated by the requirement to achieve a minimum EnerGuide rating of 80, but some were confused or put off by the performance-based program. Program staff noted that builders were less motivated by rebates since they were received by homeowners, and confusion arose due to the discontinuation of EEH support.
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 text discusses the impact of skylights on the energy efficiency of a house, noting that they would likely reduce the EnerGuide rating rather than increase it. It references the 2010 EnerGuide for New Houses Program and is associated with Nova Scotia Power.
—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 annual incomes of $80,000 or more, while others did not disclose their income.
99. Refused [IF Q4 = 2, 8 OR 9 SKIP Q17] NMR Evaluation—2010 EnerGuide for New Houses Program Page A7
AI summary The text refers to a refusal and skips a question based on a conditional statement. It mentions the '2010 EnerGuide for New Houses Program' and includes a reference to 'NMR'.
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 text includes survey questions related to the 2010 EnerGuide for New Houses Program, asking about compliance with new building codes, changes in building practices, and the impact of energy efficiency measures on comfort and energy bills.
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 not installed following initial house plan reviews. It also references the Nova Scotia Power (NMR) and the 2010 EnerGuide for New Houses Program.
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 The text includes survey questions about the influence of various program elements on a homeowner's decision to build a highly energy-efficient home with an EnerGuide Rating of 83. The survey asks about the influence of incentives, information, feedback, and the EnerGuide label.
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 document contains a series of survey questions related to household occupancy, demographics, income, and gender. It appears to be part of an evaluation process for the 2010 EnerGuide for New Houses Program.
. Sustainable Housing and Education Consultants – 50% NMR Evaluation—2010 EnerGuide for New Houses Program Page A28
AI summary The document discusses the evaluation of the 2010 EnerGuide for New Houses Program by Sustainable Housing and Education Consultants, with Nova Scotia Power (NMR) involved in the process.
formation program, where the focus is on changing practices and building adoption, and ultimately effect changes in NS provincial energy standards? Or is it a combination of the two? Why?
AI summary The text questions whether an energy efficiency program is focused on changing practices and building adoption, changing provincial energy standards, or a combination of both, and seeks to understand the rationale behind the approach.
There were two sites that required unique methods to estimate their energy savings. One facility operating as a furniture retailer had received 22 – 13 W CFL‘s to replace 60 W incandescent bulbs used in display lamps. It was determined tha...
AI summary The document describes methods used to estimate energy savings from two unique sites. One site involved a furniture retailer where some CFLs were sold, and residential usage data was applied. Another site was an apartment complex with limited access, where data from a study was used for savings calculations. The NMR team used stratified ratio estimation and LRS software to estimate program-level impacts.
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 statistical equations for estimating population savings, using a beta coefficient ratio of weighted mean savings from engineering estimates (y) and tracking system estimates (x). It also includes formulas for confidence intervals, variance, and within-stratum variance of sample residuals.
ny independent, or part of a larger company? Independent Part of a larger company Don‘t know Refused Other ( _) 9. (Don‘t know/Don‘t recall) NMR Process and Impact Evaluation: Prescriptive Rebate Programs 2010 February 25, 2011 Final Repor...
AI summary This document is a final report on the process and impact evaluation of prescriptive rebate programs from 2010, submitted by NMR Group, Inc. to Efficiency Nova Scotia Corporation. It was prepared by a team of investigators including Rohit Vaidya, David Barclay, Cheryl Browne, Tom Ledyard, and Aditya Rohilla, with support from KEMA, Inc.
ses for smaller projects. NMR Evaluation of 2010 Prescriptive Rebate Programs Page 7 Short-Term Outcomes All eligible distributors are enrolled into the program. Distributors become more active in the program and continue promoting the...
AI summary The evaluation highlights short-term, mid-term, and long-term outcomes of the 2010 Prescriptive Rebate Programs, focusing on increased adoption of high-performance (HP) lighting, education of stakeholders, and long-term energy savings and emission reductions.
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 as part of the 2010 impact evaluation. Data from site visits showed average operating hours of 3,477 per year, close to the program's assumption of 3,400. This was compared to a 2009 telephone survey that estimated 4,514 hours annually, significantly higher than the program assumption.
ebate Program Page A16 5. In general, how often do you interact with NSPI energy efficiency program staff? Who do you interact with at NSPI? a. What types of interactions do you typically have with NSPI staff? [Probe: status calls, meeting...
AI summary The text outlines questions related to interactions with NSPI energy efficiency program staff, the use of design professionals in project scoping, and the C&I Custom program delivery process, including steps such as preliminary audits, feasibility assessments, and verification.
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 about energy-efficient equipment and upgrades their company has implemented or is pursuing, including whether they are using Nova Scotia Power rebate programs, and the expected electricity savings in 2010 from 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 mathematical equations for estimating population savings, weighted mean estimates, and confidence intervals. It discusses the calculation of beta coefficients, variance, and relative precision in the context of energy savings estimation.
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 the calculation of energy savings from a lighting retrofit project, including direct savings and interactive cooling savings. It mentions the use of formulas to calculate these savings, as well as the assumptions made regarding operating hours, heat gain factors, and cooling system performance. No loggers were installed to monitor operating hours, and values were reviewed with facility personnel.
3.6 -17.5 Insulation 57,894 7,031 -50,863 6.7 0.1 -6.6 Total 247,408 251,470 4,062 28.4 3.7 -24.7 3.0 Project Overview As mentioned in Section 2.0, this project consisted of lighting, HVAC, and building shell measures. The lighting compone...
AI summary This project involved lighting, HVAC, and building shell improvements. Lighting upgrades included occupancy sensors reducing lighting usage. The HVAC system included GSHPs for heating and cooling, replacing older systems with lower efficiency. Baseline conditions were based on 1997 MNEC standards.
the installed and base cases consisted of identical sensible heat recovery ventilators. Exhaust fans and ventilation requirements were also consistent between the installed and baseline conditions. NMR Evaluation of 2010 C&I Custom Program...
AI summary The document evaluates the 2010 C&I Custom Program, focusing on the installation of improved wall and roofing insulation at a facility. The project achieved higher R-values than required by the Model National Energy Code. Savings calculations were performed using building energy modeling software, comparing baseline and installed scenarios to determine energy savings from insulation and HVAC measures.
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 critiques the tracking analysis used to calculate energy savings from a project, noting that it relied on spreadsheets rather than energy simulation software, used incorrect R-values for insulation, and applied overly conservative efficiency assumptions for heat pumps, which may have led to inaccurate savings estimates.
F was used, corresponding to an EER of 20. Given that the ground temperature is probably in the range of 45-50 oF, an entering condenser temperature of 64 oF is more probable during cooling operation. 5.0 On-Site Methodology An on-site met...
AI summary The document describes an on-site methodology used to collect data at a fire hall for constructing simulation models of proposed and baseline buildings. The site visit included verifying installed HVAC and lighting measures, discussing building operations, reviewing plans, and inspecting equipment to ensure accuracy in modeling.
After discussing building schedules, the site contact provided a set of building plans for review. The main floor plans, as well as the building elevations, were subsequently used to dimension the building model. The reviewed plans also co...
AI summary The document describes the process of creating baseline and as-built building models using eQuest and DOE2.2 software. It highlights the challenges in modeling ground source heat pumps (GSHP) with DOE2.2 and the workaround of modeling them as chillers to accurately represent the system, including ancillary equipment.
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 an in-slab radiant heating system using an electric boiler with a full load COPh of 4.15 and part load efficiency curve of a generic GSHP, as well as the modeling of air side fan coils and other equipment.
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 describes a modeling approach used to evaluate energy savings from various measures, including insulation and occupancy sensors. The approach uses eQuest and DOE2.2 to simulate HVAC systems and energy consumption, with a focus on comparing baseline and as-built models to determine annual and peak demand savings.
four data loggers. NMR Evaluation of 2010 C&I Custom Program Page A52 Interactive heating and cooling savings were also claimed for this project. Since the new fixtures operate at lower wattages, and thus impart less heat to the buildings,...
AI summary The document discusses interactive heating and cooling savings from a project involving new fixtures that operate at lower wattages. These fixtures result in negative heating savings in winter and positive cooling savings in summer, with the net effect calculated using a specific equation that includes factors like heat gain, seasonality, and cooling system efficiency.
iW prei n postiW posti )h ES L i 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...
AI summary The text discusses the calculation of energy savings from a lighting retrofit, including direct savings and interactive effects on heating and cooling systems. It outlines equations used to estimate these savings and highlights assumptions made, such as heat gain factors for heating and cooling.
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 provides an equation for calculating 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, which accounts for the timing of lighting use relative to peak demand periods. The equation was applied to all retrofitted areas, and savings from all areas were summed.
for transmission and distribution losses. The evaluated energy savings were ultimately 14.3% less than the tracking savings. Table 1: Summary of Tracking and Evaluation Savings Results Customer Savings kWh kW Tracking Evaluated Difference...
AI summary The document evaluates energy savings from a C&I Custom Program, showing that evaluated energy savings were 14.3% less than tracking savings. Tables detail the differences in kWh and kW savings for motors under both tracking and evaluated results, as well as an overview of installed and replaced motors.
95.8 150 96.2 0.4 NMR Evaluation of 2010 C&I Custom Program Page A73 Notice that in all cases but one (Item 13), the specifications of the installed motors met or exceed the specifications claimed in the tracking analysis. In addition to g...
AI summary The evaluation of the 2010 C&I Custom Program shows that motor specifications met or exceeded claims, with revised operating hour data collected for analysis. This data was gathered as part of a power factor correction project and used in the evaluation process.
96.2 88.5 40 Not Logged NMR Evaluation of 2010 C&I Custom Program Page A75 Using the data collected on-site, a revised analysis methodology was employed to correct for the errors in the tracking analysis. For the 34 motors where roughly on...
AI summary The document discusses the evaluation of the 2010 C&I Custom Program, focusing on the methodology used to calculate energy savings. It details two calculation approaches: one using post-installation amperage data for 34 motors and another using pre-installation data for 8 instances.
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 could...
AI summary The text asks respondents to consider energy-efficient equipment or upgrades implemented or pursued by their company in the past two years, including whether these measures were done independently or through NSPI rebate programs, and the expected electricity savings in 2010.
achieve improved lighting quality. NMR Evaluation of 2010 Small Business Lighting Solutions Program Page 3 Increase in demand for energy efficient lighting equipment. Participants who install energy efficiency lighting recognize its bene...
AI summary The document outlines the long-term outcomes of the 2010 Small Business Lighting Solutions Program, including increased demand for energy-efficient lighting and equipment, sustained energy savings, emission reductions, and the adoption of energy-efficient practices by small businesses.
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 document evaluates the 2010 Small Business Lighting Solutions Program, using 2008 realization rates to calculate energy and demand savings. It highlights that energy savings were 12,052 MWh at the meter and 12,944 MWh at the generator, while connected demand savings were 3,712.7 kW and 3,987.5 kW, respectively. A line loss factor of 1.074 was applied for generator estimates.
. Other subsequent actions reported by respondents included upgrading insulation and actions related to air conditioners, water tanks, lighting, energy audits, windows and air compression. (Table 3-7)
AI summary Respondents reported various energy efficiency actions, including upgrading insulation, air conditioners, water tanks, lighting, energy audits, windows, and air compression, as detailed in Table 3-7.
E-6ENSC (EAC) IR-1 to IR-43 (Revised April 6, 2011) 3/29/2011
26 passages
a_0 + \beta_1(Household\ FE) + \beta_2(Month/Year\ FE) + \beta_3(Temp, Electric) +$ $\beta_4 TREAT + \beta_6(TREAT \times Party\ Registration) + \beta_7(TREAT \times Green\ Indicators) + \varepsilon$ - 3) $\ln(kWh) = \beta_0 + \beta_1(Hous...
AI summary The text presents econometric models evaluating the impact of Home Energy Reports (HER) on electricity consumption. It includes regression equations with fixed effects, temperature variables, and interaction terms, controlling for household and time-specific factors. Standard errors are clustered on households to address autocorrelation in monthly consumption data.
y a negligible amount. The treatment is also not "opening Home Energy Reports." It is difficult to measure letter open rates, and thus it would be difficult to estimate that second form of ITT Effect. From a policy perspective, the treatme...
AI summary The text discusses the measurement of treatment effects in a program aimed at electricity conservation, focusing on the challenges of estimating impact based on Home Energy Reports and the use of Average Treatment Effects (ATE) to assess program effectiveness across a population. It also outlines the timeline of meter readings and when post-treatment effects can be observed.
6 Conclusion This paper evaluates the effects of the Positive Energy Home Energy Reports, which give households easily-understandable feedback on past energy consumption, compare them to their neighbors, and provide energy conservation tip...
AI summary The document evaluates the effectiveness of Positive Energy Home Energy Reports, which provide households with energy consumption feedback and conservation tips. The program uses behavioral science and randomized controlled trials. The Average Treatment Effect in Minnesota is 1.9 percent below baseline, and the effectiveness of quarterly reports may depend on cost structures.
- [20] Bernheim, Douglas (1994). "A Theory of Conformity." Journal of Political Economy, Vol. 102, No. 5(October), pages 847-877. - [21] Bertrand, Marianne, Esther Duflo, and Sendhil Mullainathan (2004). "How Much Should We Trust Differenc...
AI summary The text lists a series of academic references related to behavioral economics, psychology, and energy policy. These references include studies on conformity, peer influence, advertising content, and market transformation. The focus is on theoretical and empirical research that could inform policy and program design.
Dependent variable for the first two specifications is the household's average daily electricity consumption (kilowatt-hours), normalized by average control group consumption in the Post period. For the third specification, it is the log o...
AI summary The dependent variable in the first two specifications is the household's average daily electricity consumption, normalized by the control group's consumption in the Post period. For the third specification, it is the logarithm of that normalized value.
7.4 Decay of Quarterly Treatment Effects I II T x Quarterly x Post 0.0140 ( 0.0049 ) 0.0140 ( 0.0049 ) T x Quarterly x Post (1st Bill) -0.0081 ( 0.0048 ) T x Quarterly x Post (2nd Bill) -0.0067 ( 0.0044 ) T x Quarterly x Post (1st or Secon...
AI summary The section presents statistical analysis of the decay of quarterly treatment effects, showing coefficients and confidence levels for various interactions and variables. The data includes regression results for different bill periods and fixed effects, with a high F statistic indicating strong model fit.
8.4 Treatment Effects Over Time
AI summary Section 8.4 discusses treatment effects over time, referencing a figure that likely illustrates changes or impacts over a period, though specific details are not provided in the text.
II. Impact Evaluation Methods Two statistical analyses were used to estimate savings during the first year of the program. These methods are a) difference-in-difference (DID) analysis, and b) linear fixed effects regression(LFER) analysis....
AI summary The document discusses two statistical methods used to estimate program savings: difference-in-difference (DID) analysis and linear fixed effects regression (LFER) analysis, noting that DID estimates can be derived from LFER analysis.
Expanding the basic LFER model to account for degree days In a second model the simple LFER model described above is expanded to include two weatherrelated variables: heating degree days per day ( HDDdt ) in bill period t , and cooling deg...
AI summary The document describes an expanded LFER model that includes heating and cooling degree days to better assess the impact of energy efficiency programs on customer savings. The model accounts for seasonal variations and differential effects across treatment and control groups.
uly-August. Every household has a bill covering July 15-August 15. The 30-day plateau implies lower correlation of errors across households and reduced volatility. The plateau is centered on August 1. Figures 3.7-3.8 present DID estimation...
AI summary The text examines the DID estimation results for July-August periods from 2008 to 2010, comparing high consumption (HC) and low consumption (LC) households. It notes that savings percentages increased over time but the differences between 2009 and 2010 were not statistically significant.
Long term trend in program savings Using the LFER results for the degree day model and its polynomial trend extensions, we developed annualized savings trends –trends scaled up to annual average savings—by using average annual heating and...
AI summary The analysis discusses the long-term trend in program savings using LFER results and polynomial trend extensions. It indicates that program savings for HC households involve a 10-12 month ramp-up period followed by stable annual savings of around 390-400 kWh, while LC households show a continued upward trend. Adjustments were made to account for possible distortions in polynomial fits, leading to refined estimates of steady-state savings.
Table B.1 LFER Analysis Result: Degree Day Model Table B.1 LFER Analysis Result: Degree Day Model Variables Coefficient Estimates nsumption (HC) ouseholds Consumption (LC) Households Coefficient t-statistic Coefficient t-statistic HDDd 0.8...
AI summary Table B.1 presents the results of a Linear Fixed Effects Regression (LFER) analysis on a Degree Day Model, showing coefficient estimates and t-statistics for various variables, including HDDd, CDDd, and their interactions with Treatment and Post periods.
Table B.2. LFER Analysis Results: Degree Day Model with Linear Trend Table B.Z. LFER Allalysis Results. Degit ee Day Model With Li ileai Treilu Variables Coefficie nt Estimates nsumption (HC) ouseholds onsumption (LC) Households Coefficien...
AI summary Table B.2 presents the results of a Linear Fixed Effects Regression (LFER) analysis on a Degree Day Model with a Linear Trend. The table includes coefficients and t-statistics for various variables, such as HDDd, CDDd, and their interactions with treatment and post periods, indicating the statistical significance of these factors in analyzing energy consumption patterns.
Table B.3. LFER Analysis Results: Degree Day Model with Quadratic Trend Variables nt Estimates nsumption (HC) ouseholds onsumption (LC) Households Coefficient t-statistic Coefficient t-statistic HDDd 0.89108 338.5 0.33794 173.81 CDDd 2.880...
AI summary Table B.3 presents the results of a Linear Fixed Effects Regression (LFER) analysis using a Degree Day Model with a quadratic trend. The table includes coefficients and t-statistics for various variables related to heating and cooling degree days (HDD and CDD), treatment effects, and post-treatment interactions.
Table B.4. LFER Analysis Results: Degree Day Model with Cubic Trend Table B.4. LFER Analysis Results: Degre ee Day Model With Cu ibic i rend Variables Coefficie nt Estimates 3 nsumption (HC) ouseholds Consumption (LC) Households Coefficien...
AI summary Table B.4 presents the results of a Linear Fixed Effects Regression (LFER) analysis using a Degree Day Model with a Cubic Trend. It includes coefficient estimates and t-statistics for various variables, such as Heating Degree Days (HDD), Cooling Degree Days (CDD), and their interactions with treatment and post-treatment periods.
O E Table 3: PS LS regression of natural log of k Wh/day, ther E C ms/day, U/day clustering on household id Wh/day k Wh/day k ms/day ther ms/day ther C/day E C C/day E C without ( with ( without ( with controls) ( without ( with controls)...
AI summary The text presents a statistical analysis table showing regression results for energy usage, including variables like household characteristics, energy usage in 2007, and climate factors. The table includes significance levels and controls applied in the analysis.
Table 4: PSE Projected Cost Savings and Environmental Impact me Na Variable ment Experi n=49570 n=41841 n=41856 n=42276 n=41851 Affluence1 0.01 0.01 0.01 0.01 0.01 0.01 Affluence2 0.03 0.03 0.03 0.03 0.03 0.03 Affluence3 0.16 0.15 0.16 0.1...
AI summary The text presents Table 4, which outlines PSE Projected Cost Savings and Environmental Impact, including various affluence levels and variables like 'Electric heat' and 'Greenergy.' It also includes Table A2, which compares pre-treatment variables between the experiment and control groups, such as house square foot, house age, and usage statistics.
3.2 Method 2: Linear Regression (LR) Models A second approach is to cast household energy use as a function of a variety of explanatory variables including: a) group membership (treatment vs. control); b) observation period (pre- versus po...
AI summary This section describes Method 2, which uses linear regression models to analyze household energy use. The model includes variables such as treatment group assignment, pre- and post-treatment periods, weather data, and housing characteristics. The coefficient α3 captures the difference in energy use changes between treatment and control groups.
4 FINDINGS The calculation of the difference-in-difference statistic from (1) is straightforward, but the calculation of energy savings from the LR model (method 2) and the DLFE model (method 3) depends on the particular specification of t...
AI summary This section outlines the methodology for calculating energy savings using the difference-in-difference statistic, LR model, and DLFE model. It mentions the analysis of average annual savings and the distribution of savings across different household contact frequencies.
Table 4-5. Parameter estimates using the baseline Linear Regression (LR) Model (Dependent variable: Average daily Kwh; treatment terms shaded) Variable Parameter estimate Standard error t-statistic Intercept 20.03454 0.05397 371.24 Treatme...
AI summary The tables present parameter estimates from linear regression and differenced linear fixed effects models analyzing the impact of treatment variables, heating degree days (HDD), and cooling degree days (CDD) on average daily kWh usage. The analysis extends to examining how housing characteristics and treatment variables influence energy savings.
Dependent Variable: AveDailyKWH Number of Observations Read 2029885 Number of Observations Used 2029885 Analysis of Variance Source DF Sum of Mean F Value Pr > F Squares Square Model 11 46553310 4232119 14082 <.0001 Error 2.03E+06 61004371...
AI summary The text presents an analysis of variance and parameter estimates for the dependent variable 'AveDailyKWH' based on a statistical model. The model includes variables such as heating degree days (hddD), cooling degree days (cddD), and several post and participation-related variables. The results show significant relationships between these variables and the average daily kilowatt-hour usage.
redefined. Analysis of Variance Source DF Sum of Mean F Value Pr > F Squares Square Model 5 1901600 380320 19722.3 <.0001 Error 240163 4631247 19.28376 Uncorrected Total 240168 6532846 Root MSE 4.39133 R-Square 0.2911 Dependent Mean -4.51E...
AI summary The text presents an analysis of variance table and parameter estimates from a statistical model. It includes the model's sum of squares, mean square, F value, and p-value, along with root mean square error and R-squared values. The parameter estimates and their standard errors, t-values, and p-values are also provided, indicating the significance of various variables.
Dependent Variable: diffaveDailykWh Number of Observations Read 586698 Number of Observations Used 586698 Note: No intercept in model. R-Square is
AI summary The text presents statistical analysis data with a dependent variable 'diffaveDailykWh' and provides observation counts. It notes the absence of an intercept in the model and mentions the R-Square value, though it is not fully provided.
Heating Ventilation and Air Conditioning (HVAC) - high efficiency packaged HVAC equipment (packaged terminal air-conditioners (PTAC), rooftop units) - high efficiency chillers - enthalpy and dry-bulb economizer controls for HVAC systems -...
AI summary The document outlines various high-efficiency HVAC equipment and technologies that may be relevant to energy efficiency programs, including packaged terminal air-conditioners, chillers, and energy management systems.
OE Topic Emissions Suggestions/Comments Lower CO2 base case for 2030 to 5.5M tonnes (difference between low and high). Response The Federal Government has referred to a reduction of up to 65% from current levels by 2040 to 2050. Based on r...
AI summary Stakeholders suggest adjusting emission targets and provide feedback on offset requirements and renewable energy goals. NSPI and NSDOE respond with revised targets and explanations for their positions.
1 Request IR-31A: 2 3 Please explain if and how ENSC's utilization of biomass in a pilot project relates to 4 provincial government policy initiatives such as the Natural Resources Strategy and other 5 planned utilization of biomass in the...
AI summary ENSC's biomass pilot project relates to provincial initiatives like the Renewable Electricity Plan, focusing on large-scale renewable energy generation. The project uses biomass for direct space heating in residential and potential commercial applications, aiming for job creation, economic development, and GHG reductions while emphasizing sustainable biomass use.