E-22017 DSM Evaluation Reports
376 passages
oided GHG Emissions Quantification............................................................................ 13 3 IMPACT EVALUATION RESULTS ............................................................................................ 14 3...
AI summary The document evaluates the impact of Demand-Side Management (DSM) programs in Nova Scotia, analyzing residential and business initiatives, codes, standards, net-to-gross ratios, lifetime energy savings, and greenhouse gas reductions. It assesses portfolio performance, market evolution, and provides recommendations for DSM effectiveness.
with the peak demand period of the electricity grid in Nova Scotia. The Evaluator applied the results to the Instant Savings, Efficient Product Installation and Codes & Standards savings calculations. 2.8 Simulation Model Review A simulati...
AI summary The evaluation of 2017 DSM programs included a review of simulation models for new construction projects, an assessment of effective useful life values for energy-saving measures, and the consideration of multiple baselines for LED products across various programs to ensure accurate energy savings calculations.
oducts will no longer constitute an adequate baseline in the EUL of LED products and calculated an equivalent EUL that accurately yields lifetime energy savings when multiplying by first-year savings. 2.10 Avoided GHG Emissions Quantificat...
AI summary The document discusses the evaluation of 2017 DSM programs by Efficiency Nova Scotia, including the calculation of energy savings, peak demand reductions, and avoided GHG emissions using Nova Scotia-specific factors derived from Nova Scotia Power's 2016 data.
tracked energy and peak demand savings with those evaluated. The evaluated net- to-gross ratios, lifetime energy savings and greenhouse gas emission reductions are also presented in subsections below. 3.1 Individual Impact Evaluation Resul...
AI summary The document evaluates the energy and peak demand savings of the 2017 DSM programs, comparing evaluated net-to-gross ratios, lifetime energy savings, and greenhouse gas emission reductions. It outlines the methodology used to calculate adjusted gross savings and net savings, incorporating factors such as installation rates, in-service rates, and EUL values for efficient measures.
ems 1.752 1.402 1.00 1.402 4.112 1.752 1.752 Direct Installation Small Business Energy Solutions 10.036 8.920 0.88 7.887 100.854 10.036 8.757 BNI Subtotal 100.862 93.208 0.82 76.877 966.078 100.862 84.015 Portfolio Total 171.086 156.800 0....
AI summary The text presents numerical data related to energy efficiency programs, including Direct Installation, Small Business Energy Solutions, and BNI Subtotal, with values for different years and categories. It also mentions the absence of Strategic Energy Management (SEM) savings in 2017 due to the start date of the latest cohort.
Appliance Retirement 0.740 0.740 0.60 0.443 0.368 Residential Efficient Product Rebates Instant Savings 2.993 2.993 0.85 2.558 5.186 Home Energy Assessment 2.535 2.348 0.76 1.981 2.029 Existing Residential Green Heat 4.271 5.114 0.60 3.073...
AI summary The text presents a table with various energy efficiency programs and their associated metrics, including appliance retirement, residential and business rebates, and custom incentives. It includes numerical data such as costs, quantities, and percentages, but no explicit discussion or arguments are made.
Efficiency Nova Scotia Executive Summary The evaluated net peak demand savings are 49 percent lower than the tracked net peak demand savings. This difference is largely due to the same reasons as the lower energy savings, but is further ex...
AI summary The evaluated net peak demand savings for Efficiency Nova Scotia's Existing Residential programs are 49% lower than tracked savings, primarily due to lower evaluated peak demand-to-energy ratios from the 2017 Residential Lighting Metering Study. Home Energy Assessment achieved 7.007 GWh in net energy savings and 1.981 MW in net peak demand savings, slightly lower than tracked values due to a reduction in spillover levels in 2017.
Efficiency Nova Scotia Executive Summary Small Business Energy Solutions In 2017, among the 417 projects completed through Small Business Energy Solutions, 367 were implemented by following the do it yourself (DIY) path and 50 were impleme...
AI summary Efficiency Nova Scotia's Small Business Energy Solutions program had 417 completed projects in 2017, with 367 using the DIY path and 50 using the audit path. Evaluated net energy savings were 10% below tracked figures due to adjustments in lighting measures. Net peak demand savings were 24% lower due to revised peak coincidence factors for lighting measures. The Evaluator also examined the impact of federal and provincial energy codes and standards, including NRCan Amendment 13.
ch are offered across several program components and represent most of the 2017 energy savings, remained quite high in 2017. This result is discussed in the Market Evolution Section (section 5) below. 3.3 Lifetime Energy Savings The Evalua...
AI summary The evaluation of 2017 DSM programs highlights that energy savings remained high, with the ENS portfolio generating 1,620.838 GWh in lifetime energy savings. Measures affecting the building envelope, such as insulation, have longer effective useful lives, contributing significantly to lifetime savings.
g the methodology for calculating interactive effects associated with lighting projects for Business Energy Rebates, Small Business Energy Solutions and Custom was implemented in all three components. As part of the 2017 evaluation, the Ev...
AI summary The evaluation of ENS programs highlights that lighting measures accounted for most energy savings in 2017, but the evaluator recommends fostering non-lighting energy efficiency measures to achieve greater savings and mitigate declining lighting savings due to improving LED market efficiency.
led by last year’s participant survey), the program component is still useful in encouraging the retirement of inefficient appliances and educating people about the cost of maintaining old appliances. A total of 5,739 appliances were retir...
AI summary The Appliance Retirement program in Nova Scotia successfully retired over 6,000 inefficient appliances in 2017, including refrigerators, freezers, and air conditioners. Evaluations found that while metering improvements were made, larger sample sizes are needed to reduce error margins and better assess energy consumption variations among appliance types.
category. The Evaluator believes that the ASHP billing analysis should be conducted again in 2018 to obtain a larger sample of participants and improve the accuracy of savings. GH-R2. Conduct a survey with a larger sample of participants w...
AI summary The Evaluator recommends conducting a larger sample billing analysis in 2018 for ASHPs and a survey for MSHPs in non-electrically heated households to improve the accuracy of savings estimates and evaluate the impact of Green Heat on participant decisions.
ors such as those discussed in Section 7 to identify when some product categories should be removed from the service due to a high level of market transformation. BER-R2. Identify opportunities to diversify the portfolio of projects comple...
AI summary The text discusses the need to diversify the BER Mail-In program to avoid declining savings due to market transformation in LED lighting. It highlights the risk of free-ridership and baseline increases as LED technology becomes more widespread and recommends targeting underrepresented BNI sectors for greater savings.
e to conduct technical reviews of energy models. Those tools could include checklists of parameters to validate for certain types of projects or building systems.
AI summary The text discusses the need to conduct technical reviews of energy models, suggesting the use of tools such as checklists of parameters for validating specific types of projects or building systems.
SBES-R3. Investigate new ways to encourage the implementation of non-lighting measures to increase their share of savings and ultimately increase SBES’s total savings. Although SBES offers a wide variety of measures, lighting retrofits acc...
AI summary The SBES program needs to explore ways to encourage the implementation of non-lighting energy efficiency measures to increase overall savings. Currently, lighting retrofits account for most savings, but as the market becomes saturated, expanding into other measures is necessary. Educational materials and support for participants could help promote non-lighting upgrades.
who do not complete the audit path, for instance by having an ENS staff member follow up to help them consider non-lighting measures if the facility includes other large energy-consuming equipment. 7.2.5 Codes and Standards The 2017 evalua...
AI summary The 2017 evaluation of Codes and Standards in Nova Scotia estimates energy and peak demand savings of 21.914 GWh and 4.028 MW, respectively, and avoided GHG emissions of 14,312 tonnes of CO2 eq. The Evaluator recommends optimizing the evaluation process for these standards.
eport prepared for the England State Program Working Group, June 2007. INDEPENDENT ELECTRICITY SYSTEM OPERATOR, IESO Prescriptive Measures and Assumptions List, October 2015. ILLINOIS ENERGY EFFICIENCY STAKEHOLDER ADVISORY GROUP. Illinois...
AI summary The document includes a list of bibliographic references related to energy efficiency programs and technical manuals from various states and organizations, including Massachusetts, Illinois, and Rhode Island, as well as resources from the Lighting Research Center and the National Renewable Energy Laboratory.
NEWABLE ENERGY LABORATORY (NREL). 4.1.2. In-service Rates. http://ump.pnnl.gov/showthread.php/4839-4.12-In-Service-Rate (Last accessed February 16, 2014). NATIONAL RENEWABLE ENERGY LABORATORY (NREL). Uniform Methods Protocol Chapter 6: Res...
AI summary The text references the National Renewable Energy Laboratory (NREL) and its Uniform Methods Protocol Chapter 6, focusing on residential lighting evaluation protocols from February 2014. It also cites a webpage discussing in-service rates, though the content is not detailed.
Program Bibliographic References Components U.S. EPA and DOE, Savings Calculator for ENERGY STAR Qualified Appliances (2016), https://www.energystar.gov/sites/default/files/asset/document/appliance_calculator.xlsx (Last accessed December 4...
AI summary The text lists bibliographic references and sources related to energy efficiency programs, including calculators, life expectancy charts, and reports from various organizations such as the U.S. EPA, ASHRAE, and NREL. These resources are used to support energy efficiency initiatives and assessments.
Program Bibliographic References Components HAMELIN, M. C. ET AL. “Accounting for Real-Life Conditions in Mini-Split Heat Pump Savings: Findings from a Billing Analysis” in Proceedings of the 2017 International Energy Program Evaluation Co...
AI summary The text provides bibliographic references for a program analysis related to mini-split heat pump savings, energy conservation improvement programs, and technical reference manuals from various regulatory and research organizations.
4, 2017) PENNSYLVANIA PUBLIC UTILITY COMMISSION (PUC). Technical Reference Manual, Section 2.2 – HVAC, June 2015. PROVINCE OF NOVA SCOTIA, Nova Scotia Building Code Regulation, December 31, 2014. ROSENBURG M. AND HOEFGEN L. 2009. Market Ef...
AI summary The document text contains a list of references and citations related to energy efficiency programs, technical manuals, and regulations, including those from Nova Scotia, Pennsylvania, Illinois, Massachusetts, and other jurisdictions. These references include studies, manuals, and reports on energy efficiency measures, HVAC systems, and market transformation strategies.
Program Bibliographic References Components DATABASE FOR ENERGY EFFICIENCY RESOURCES (DEER). DEER 2008 EUL Table, 2008. DIFFUSION OF INNOVATIONS. Everett Rogers, 1983. DNV-GL. Massachusetts Commercial and Industrial Upstream Lighting Progr...
AI summary The text provides a list of bibliographic references related to energy efficiency programs, including technical manuals, studies, and reports from various organizations and government agencies. These references are used to support the development and evaluation of energy efficiency initiatives.
2/f19/UMPChapter23-estimating-net-savings_0.pdf (Last accessed on November 19, 2015). Rebates NATURAL RESOURCES CANADA. “Forward Regulatory Plan 2017-19”. Online: http://www.nrcan.gc.ca/energy/regulations-codes-standards/18318, Last modifi...
AI summary The text includes a list of references and citations related to energy efficiency, regulatory plans, and environmental reports, including sources such as Natural Resources Canada, Nova Scotia Power, and various studies and technical manuals.
Program Bibliographic References Components DATABASE FOR ENERGY EFFICIENCY RESOURCES (DEER). DEER 2008 EUL Table, 2008. EMERA INC., “Management’s Discussion & Analysis as at February 10, 2017”,http://investors.emera.com/Cache/1500095769.PD...
AI summary The text provides a list of bibliographic references related to energy efficiency programs and resources, including studies, reports, and methodologies used for measuring energy savings and emissions. These references include academic studies, industry reports, and government publications.
eport Calculation of the Margin of Error The margin of error of the unitary savings value was established by using the following formula, which applies to samples drawn from an infinite population. 0.022 √ Where N is the sample size, while...
AI summary The margin of error for unitary savings value was calculated using a formula for infinite population samples. The margin of error for MSHPs in fully electrically heated homes was determined as 0.022 kWh/Btu/h. This calculation was applied to Green Heat and Appliance Retirement and the Residential Lighting Metering Study.
_ _ _ _ _ FRFully Electrically Heated= 42% FRMainly Electrically Heated= 39% FRNon-Electrically Heated= 33% NTGR calculation NTGR = 1-FRtotal NTGRFully Electrically Heated= 58% NTGRMainly Electrically Heated= 61% NTGRNon-Electrically Heate...
AI summary The text presents calculations related to the percentage of buildings in different heating categories (fully, mainly, and non-electrically heated) and the Net Thermal Generation Rate (NTGR) derived from these percentages. The NTGR is calculated as 1 minus the total fraction of electrically heated buildings.
DEFINITIONS Accuracy Reflects the proximity of measurements to the true value. The ratio of evaluated results to tracked results. This ratio expresses the Adjustment ratio adjustment made to tracked savings or other tracked values such as...
AI summary The text defines key terms related to energy efficiency and measurement, including accuracy, adjustment ratio, base case, bias, billing calibration, confidence interval, displaced wattage, and EnerGuide rating. These terms are relevant to energy performance assessments and benchmarking.
measure of the home's energy performance. It is a measure of the efficiency of the building only and does not take into account occupant EnerGuide rating behaviour. It shows how energy efficient the home is through modelled heat losses of...
AI summary The text defines several energy efficiency and environmental metrics, including EnerGuide ratings, effective useful life, equipment life, and equivalent CO2. These metrics are used to evaluate building performance, energy savings over time, and the environmental impact of greenhouse gas emissions.
y measure introduced by a program after participating in it once, without participating in the program a second time. The proportion of incentivized products that are installed and operating. This rate is usually applied to programs throug...
AI summary The text defines several key terms related to energy efficiency programs, including in-service rate, lifetime energy savings, line loss factor, margin of error, market effects, net energy savings, and net-to-gross ratio. These terms are used to evaluate the effectiveness and impact of energy efficiency initiatives.
Errors arising during the course of all survey activities other than sampling. Non-sampling error Non-sampling errors tend to lead to bias in measurements and are very difficult to quantify. Peak coincidence The percentage of measure deman...
AI summary The text discusses various statistical and measurement concepts in energy efficiency programs, including non-sampling errors, precision, sample size, and tracked savings. It also defines terms such as peak coincidence factor, unitary savings, and secondary market impacts, which are relevant to energy efficiency tracking and evaluation.
review, an interview with the program manager, three visits to the recycling facility, an interview with a representative of the HRSB and a unitary savings review. ARet Key Findings ARet Performance ARet aimed to achieve 2.6 GWh in net ene...
AI summary The ARet program achieved significant energy and peak demand savings in 2017, retiring over 5,700 inefficient appliances and contributing to GHG emission reductions. The program's performance was evaluated through various methods, including interviews and facility visits, with results showing higher-than-targeted savings.
𝐺𝑟𝑜𝑠𝑠 𝑈𝑛𝑖𝑡𝑎𝑟𝑦 𝑆𝑎𝑣𝑖𝑛𝑔𝑠 Table 2 shows the equivalent NTGR for each appliance type. Table 2: ARet Equivalent Net-to-gross Ratios Gross Savings Effects Net Number Consumption Unitary Internal Equival. Appliance Type Free- Secondary Induced of...
AI summary Table 2 provides equivalent NTGR for various appliance types, with HomeWarming and pilot programs assuming an NTGR of 1. The impact evaluation shows that ARet generated 3.094 GWh in net energy savings and 0.443 MW in net peak demand savings in 2017.
NTGR Net Savings Savings Savings Energy Savings ENS Tracked Savings 23.562 GWh 23.562 GWh 1.11 26.162 GWh Evaluation Results 22.343 GWh 22.343 GWh 0.87 19.543 GWh Peak Demand Savings ENS Tracked Savings 4.615 MW 4.615 MW 1.12 5.186 MW Eval...
AI summary The evaluated net energy savings are 25% lower than tracked savings, primarily due to a 6% decrease in gross unitary savings from LED A-type lamps and lower market effects compared to 2016. This is attributed to fewer participants replacing incandescent lamps with CFLs and LEDs.
s had at least one LED lamp in 2016. In 2017, LED lamp shipments accounted for approximately one third of all lamps shipped in Atlantic Canada, among which A-types remained the dominant LED lamp type. LED lamps are available at major retai...
AI summary The text discusses the increasing adoption of LED lamps in Nova Scotia, noting the growth in shipments, declining prices, and reduced barriers to purchase. It also highlights the effectiveness of the Instant Savings program and mentions a 2016 socket study indicating LED adoption trends. An upcoming update to Canadian energy efficiency regulations may further promote LED use.
cycling facility to observe the metering process and (4) analyzing the raw data obtained from the metering activities to calculate average energy consumption. Development of the Sampling Plan Metering activities for the 2017 evaluation tar...
AI summary The document outlines the development of a sampling plan for metering activities in the 2017 evaluation of refrigerators and freezers, targeting three age ranges to reflect major updates in energy efficiency regulations. A total of 130 appliances were metered, with additional appliances added to the most popular category.
o reflect typical conditions expected in a home. A separate HOBO® data logger was used to continuously measure the room temperature, thereby ensuring that it was maintained within an acceptable range. At the start of each metering event, E...
AI summary ENS collected data on appliance performance using HOBO® data loggers, ensuring room temperature was maintained within acceptable ranges. Information such as ATO numbers, appliance details, and temperature settings were recorded, and loggers were named to avoid confusion. Adjustments to temperature set-points were avoided to reflect typical user settings.
water distributor and the ice-maker, which both increase per-cubic-foot energy consumption. However, the tracked data did not provide enough information for the Evaluator to validate this assumption. Although the age categories in the 2016...
AI summary The evaluation compared energy consumption data from 2016 and 2017 for refrigerators and freezers, noting that while most categories showed similar ranges, freezers manufactured before 1995 had significantly higher energy consumption. The Evaluator concluded that this higher value was reasonable due to the high consumption levels of most freezers in that age category.
he freezers’ data and concluded that this value was reasonable since more than 75 percent of the metered freezers in this age category had an annual energy consumption level of over 100 kWh/cu. ft. Appliance Retirement 16 Residential Effic...
AI summary The evaluation of the Appliance Retirement program discusses the data collection process for freezers, highlighting the reasonable energy consumption levels observed and the improvements in metering protocols. However, it notes that the sample size was insufficient due to unusable data, which affected the margin of error. The report also outlines the methodology used for calculating savings based on the UMP guidelines.
The Uniform Methods Project: Methods for Determining Energy Efficiency Savings for Specific Measures. Chapter 7: Refrigerator Recycling Evaluation Protocol, Prepared by the Camus Group, April 2013. Appliance Retirement 17 Residential Effic...
AI summary This section of the 2017 DSM Evaluation Report by Efficiency Nova Scotia presents tracked energy savings by appliance type, including refrigerators, freezers, air conditioners, and small refrigerators and freezers. It includes metrics like gross and net savings, net-to-gross ratios, and equivalent effective useful life.
rigerators 275 1.12 0.63 194 95 0.49 1% 0.50 Small Freezers 420 1.12 0.63 296 145 0.49 1% 0.50 For the 2017 evaluation, the Evaluator updated these tracked savings values using a methodology similar to that used in the four previous evalua...
AI summary The text discusses the evaluation of energy savings from appliance retirements in 2017, including updates to energy consumption based on metering results and the inclusion of a pilot project by ENS and HRSB. It outlines the methodology for calculating unitary savings for full-sized refrigerators.
rigerators in the 2017 tracking system. As a result, the average consumption value was established at 48.7 kWh/ft3. Table 13: Average Metered Annual Consumption for Retired Refrigerators Average Per-cubic-foot Annual Proportion of Refriger...
AI summary The document calculates the average annual energy consumption of retired refrigerators based on data from the 2017 tracking system. The average consumption was found to be 48.7 kWh/ft³, and with an average refrigerator size of 17 cubic feet, the total annual consumption is calculated as 828 kWh. An occupant adjustment factor of 1.12 was applied to account for differences between metering conditions and actual residential usage.
esponses to determine these effects. As previously mentioned, internal spillover is calculated separately from the unitary savings of each appliance category in ARet, and is discussed in Section 3.14. Table 19 presents the unitary savings...
AI summary The document discusses the calculation of unitary savings values for refrigerators retired through the Appliance Replacement and Conservation Assistance (ARet) program. It accounts for free-ridership and secondary market impacts, and calculates a net savings value of 410 kWh per unit retired.
15% 0 0 0 100% Weighted Average (kWh/unit) 10 Overall Savings (kWh/unit) 410 Appliance Retirement 23 Residential Efficient Product Rebates Program Efficiency Nova Scotia 2017 DSM Evaluation Report 3.4 Freezers Unitary Savings This section...
AI summary The document discusses the evaluation of unitary savings for full-sized freezers retired in 2017 under the Residential Efficient Product Rebates Program. It outlines the methodology used to calculate gross and net unitary savings, including the revision of energy consumption values based on metering data and the categorization of freezers by manufacturing year.
ound 1994 and 2001,14,15,16 and the age categories were defined accordingly. However, the Evaluator combined the two most recent age categories into one since the results did not significantly differ. Table 20 below lists the average annua...
AI summary The text discusses the evaluation of energy consumption data for retired refrigerators, combining age categories based on similar results and calculating an average annual consumption of 79.0 kWh per cubic foot using weighted values from 2017 metering data.
ion of Replacement Freezers Three energy consumption levels are assigned to possible categories of freezer replacement, based on the same principles as discussed in Section 3.3.1 about refrigerators. As with the 2016 evaluation, the Evalua...
AI summary The document discusses the energy consumption levels of replacement freezers, using the Canadian energy-efficiency standard. It calculates standard-efficiency and high-efficiency freezer consumption values, applying a 10% reduction for high-efficiency models based on the U.S. standard. The calculations include a weighted average of chest and upright freezers, resulting in 309 kWh for standard-efficiency and 278 kWh for high-efficiency.
Unitary Savings This section presents the methodology employed and the calculations made to evaluate the unitary savings of the room air conditioners retired in 2017. Gross Unitary Savings ENS uses a gross unitary savings value of 251 kWh...
AI summary This section outlines the methodology used to calculate the unitary savings from retiring room air conditioners in 2017. Energy Nova Scotia (ENS) uses a gross unitary savings value of 251 kWh per year, based on the appliance's capacity, hours of operation, and seasonal energy efficiency ratio (SEER).
hours of operation have been established at 312 hours. Capacity With the information available in the tracking system, the retired units’ average capacity has been established at 6,146 Btu/hr. SEER The 2017 ARet tracking report showed that...
AI summary The document calculates the average annual energy consumption of retired room air conditioners based on hours of operation, capacity, and SEER. It uses data from the 2017 ARet tracking report and references technical information from Ecox and NRCan.
esponses to determine these effects. As previously mentioned, internal spillover is calculated separately from the unitary savings of each appliance category in ARet, and is discussed in Section 3.14. Table 25 presents the unitary savings...
AI summary The document discusses the calculation of unitary savings for room air conditioners retired through the Appliance Retirement (ARet) program, factoring in free-ridership and secondary market impacts. The net savings per unit retired is calculated as 66 kWh.
100% Weighted Average (kWh/unit) 0 Overall Savings (kWh/unit) 66 Appliance Retirement 32 Residential Efficient Product Rebates Program Efficiency Nova Scotia 2017 DSM Evaluation Report 3.6 Small Appliance Retirement This section presents t...
AI summary The document discusses the methodology used to calculate the unitary savings of small refrigerators and freezers retired through the Appliance Retirement (ARET) program in 2017. It outlines the revision of gross unitary savings by updating parameters such as average energy consumption of retired and replacement appliances and part-use factors.
𝑘𝑊ℎ 𝐴𝑣𝑒𝑟𝑎𝑔𝑒 𝐴𝑛𝑛𝑢𝑎𝑙 𝐶𝑜𝑛𝑠𝑢𝑚𝑝𝑡𝑖𝑜𝑛 𝑜𝑓 𝑅𝑒𝑡𝑖𝑟𝑒𝑑 𝑆𝑚𝑎𝑙𝑙 𝐹𝑟𝑖𝑑𝑔𝑒𝑠 = 49.3 × 6 𝑐𝑢. 𝑓𝑡. = 296 𝑘𝑊ℎ 𝑐𝑢. 𝑓𝑡. To account for the difference between the metering conditions and the on-site conditions in a residential setting (i.e., door openings), the same...
AI summary The text calculates the average annual energy consumption of retired small refrigerators and freezers, adjusting for residential usage conditions and applying weights based on manufacture-year classes. For small refrigerators, the adjusted average is 332 kWh/year, while for small freezers, the average is 66.1 kWh/cu. ft, resulting in an estimated annual consumption of 462.7 kWh.
66.1 kWh/cu. ft Based on the 2017 tracking system, the average size of the retired small freezers is 7 cubic feet. Therefore, the Evaluator calculates their average annual consumption as follows: 𝑘𝑊ℎ 𝐴𝑣𝑒𝑟𝑎𝑔𝑒 𝐴𝑛𝑛𝑢𝑎𝑙 𝐶𝑜𝑛𝑠𝑢𝑚𝑝𝑡𝑖𝑜𝑛 𝑜𝑓 𝑅𝑒𝑡𝑖𝑟𝑒𝑑 𝐹...
AI summary The document calculates the average annual energy consumption of retired and replacement small freezers using data from the 2017 tracking system and 2016 participant surveys. It uses an occupant adjustment factor and energy consumption values from full-sized appliances to estimate consumption for small appliances.
𝑘𝑊ℎ = 𝐴𝑣𝑒𝑟𝑎𝑔𝑒 𝐴𝑛𝑛𝑢𝑎𝑙 𝐶𝑜𝑛𝑠𝑢𝑚𝑝𝑡𝑖𝑜𝑛 𝑝𝑒𝑟 𝑈𝑛𝑖𝑡 𝑆𝑖𝑧𝑒 [ ] × 𝐴𝑣𝑒𝑟𝑎𝑔𝑒 𝑆𝑖𝑧𝑒 [𝑐𝑢. 𝑓𝑡. ] 𝑐𝑢. 𝑓𝑡. Calculation details for refrigerators and freezers are shown in Table 31 and Table 32 respectively. Table 31: Average Metered Annual Consumption for Retir...
AI summary The text provides calculations for average annual energy consumption per cubic foot for retired refrigerators and freezers, based on data from the 2017 Tracking System - Pilot. It includes tables showing consumption values and proportions by manufacture-year class.
placement freezers installed in 2016 was established at 247 kWh. Therefore, replacing an old freezer with a new efficient model results in tracked unitary savings of 492 kWh per year. Revised Savings The Evaluator used the average annual c...
AI summary The document discusses energy savings from replacing old freezers with new efficient models under the HomeWarming Program. It calculates unitary savings based on average consumption data from 2016 and 2017, noting that ENERGY STAR certified models were limited in size and availability.
Natural Resources Canada, Energy Efficiency Ratings: Search – Freezers, http://oee.nrcan.gc.ca/pml- lmp/index.cfm?action=app.download-telecharger&appliance=FREEZERS (Last accessed January 19, 2018) Appliance Retirement 43 Residential Effic...
AI summary The document discusses the evaluation of energy efficiency programs, including the revised unitary savings for freezers and dehumidifiers. It highlights the updated kWh consumption values based on metering activities and the HomeWarming program's role in replacing inefficient dehumidifiers.
017. Table 34: Tracked and Revised Unitary Savings by Appliance Type Tracked Unitary Savings (kWh/yr) Revised Unitary Savings (kWh/yr) Gross Net Gross Net Refrigerator (ARet) 745 406 751 410 Freezer (ARet) 756 398 863 465 Room Air Conditio...
AI summary The table presents tracked and revised unitary savings by appliance type, including refrigerators, freezers, and room air conditioners under various programs such as ARET and HomeWarming. The section on peak demand savings outlines the timing of peak electricity demand in Nova Scotia, which occurs between 5 p.m. and 7 p.m. from December to February on non-holiday weekdays.
herefore expected to be negative, pushing the savings generated by such retirement or replacement downward. A number of other factors can also affect the interactive effects of the program component: › The focus of this ARet evaluation is...
AI summary The evaluation of the Appliance Retirement (ARET) program considers the interactive effects of appliance retirement on heating and cooling loads. It notes that only a portion of households in Nova Scotia use electricity for heating or cooling, limiting the impact of these effects. The Evaluator concluded that these interactive effects are negligible, setting the factor at 0 percent. The evaluation also addresses the effective useful life (EUL) of appliances in calculating energy savings.
eractive effects factor at 0 percent. 3.12 Effective Useful Life As part of the 2017 evaluation, the Evaluator reviewed the EUL values used by ENS in the calculation of lifetime energy savings. For ARet, the lifetime energy savings and equ...
AI summary The document discusses the evaluation of Effective Useful Life (EUL) values used by ENS in calculating lifetime energy savings for the Appliance Retirement (ARET) and HomeWarming programs. The Evaluator considered technical references, evaluation reports, and studies to determine EUL and Remaining Useful Life (RUL) values for eligible measures, favoring those based on measured data.
ee years was taken from the Database for Energy Efficiency Resources (DEER), which was specifically established for the retirement of a room air conditioner.30 Appliances Replaced through HomeWarming For appliances replaced through HomeWar...
AI summary The document discusses the evaluation of appliance replacement programs, specifically the HomeWarming Program and the retirement of a room air conditioner through the Database for Energy Efficiency Resources (DEER). It examines the Effective Useful Life (EUL) values used by ENS for new appliances and notes that first-year savings from appliance replacement may not persist over the full equipment life of the new appliance.
umption values for new standard refrigerator and freezer units were taken respectively from Section 3.3.1 and 3.4.1, while the new standard dehumidifier’s consumption value comes from Instant Savings. The Evaluator used an RUL of four year...
AI summary The document discusses the assumption values for new standard refrigerator, freezer, and dehumidifier units, citing specific sections and the Instant Savings program. It outlines the RUL for appliances replaced through HomeWarming, comparing it to those retired through ARet, and references Table 37 for equipment life and RUL values.
2017 DSM Evaluation Report Table 38: Equivalent Effective Useful Life Calculations for Appliances Replaced through HomeWarming Energy Consumption (kWh/year) Lifetime Equivalent Appliance First 4 Years Following 8 Years Savings EUL (kWh) (y...
AI summary The 2017 DSM Evaluation Report includes tables detailing energy consumption and equivalent effective useful life (EUL) calculations for appliances replaced through the HomeWarming program. These calculations help assess the energy savings from appliance replacements and retirements.
hip Market Impact Consump. Appliances (kWh) (kWh) (kWh) (kWh) (kWh) Refrigerators 3,847 751 278 53 10 410 0.55 Freezers 1,659 863 345 44 9 465 0.55 Air Conditioners 124 215 129 20 0 66 0.32 1% Small 78 209 92 14 0 103 0.50 Refrigerators Sm...
AI summary The text discusses energy savings from appliance replacements through the HomeWarming program and a pilot, using an NTGR of 1. Net energy savings were calculated as 3.094 GWh and 0.443 MW, leading to 2,021 tonnes of avoided CO2 eq annually. Lifetime energy savings were estimated at 23.050 GWh using an EUL of 7.4 years.
nually. Based on the average equivalent EUL of 7.4 years, the net lifetime energy savings at the generator were established at 23.050 GWh. The detailed savings results are shown in Table 42 below. 33 When the Evaluator was drafting this ev...
AI summary The evaluation report discusses energy savings from the Appliance Retirement program, using an average equivalent EUL of 7.4 years to establish net lifetime energy savings of 23.050 GWh. Data sources include Nova Scotia Power and Emera Inc.
Refrigerators Freezers Contioners Refrigerators Freezers Energy Savings Revised Gross Energy Savings – at the Meter (GWh) 2.889 1.432 0.027 0.016 0.010 NTGR 0.55 0.55 0.32 0.50 0.50 Net Energy Savings – at the Meter (GWh) 1.589 0.787 0.009...
AI summary The text presents data on energy savings and peak demand savings from refrigerators, freezers, and air conditioners, including revised gross energy savings, net energy savings, net lifetime energy savings, and net peak demand savings, along with factors like NTGR and line loss.
Refrigerators Freezers Refrigerators Freezers Dehumidifiers Refrigerator Energy Savings Revised Gross Energy Savings – at the Meter (GWh) 0.008 0.001 0.000 0.042 0.284 0.082 4.791 NTGR 1.00 1.00 1.00 1.00 1.00 1.00 - Net Energy Savings – a...
AI summary The document provides detailed energy savings and peak demand savings data for various appliances, including refrigerators, freezers, and dehumidifiers. It includes metrics such as gross and net energy savings, NTGR, line loss factors, and net lifetime energy savings, with specific values for each appliance category.
Implemented offerings when needed. 2016 Instant-R2. Closely monitor the evolution of the refrigerator and clothes washer markets. Implemented Recommendation 2016 Instant-R1 involves monitoring various key market indicators that include pro...
AI summary The document discusses the implementation of recommendations related to monitoring market indicators and assessing the impact of new energy efficiency regulations on appliance sales. ENS requested evaluations and data submissions from retailers to analyze the effectiveness of energy efficiency programs and the influence of the 2017 Canadian regulation.
estionnaire and complete participant survey results are presented in Appendices V and VI respectively. The intercept participant survey generated feedback on the following aspects of Instant Savings: › LED lamp purchases and expected uses...
AI summary The document presents survey results and evaluations related to the Instant Savings program, focusing on participant feedback, unitary savings reviews for LED lamps and other products, and the Effective Useful Life review. The Evaluator used literature reviews, engineering calculations, and technical references to assess savings values.
acking sheet. Technical reference manuals and public evaluation reports of jurisdictions similar to ENS were consulted with focus on the most recent and accurate sources. Effective Useful Life Review As part of the 2017 evaluation, to exam...
AI summary The 2017 evaluation of the Instant Savings program included interviews with retailers and a review of energy savings calculations using Effective Useful Life (EUL) values. The evaluation scope was adjusted compared to 2016 due to changes in campaign timing and product analysis.
h as ENERGY STAR certified LED lamps. Five retailers identified cost as the main barrier, while three retailers believe that insufficient knowledge now trumps price as the key barrier to LED adoption. Retailers offered few specific recomme...
AI summary The text discusses barriers to LED adoption, with cost and knowledge identified as key issues. Retailers suggest removing price floors, increasing public awareness, and expanding rebated products to encourage participation in the Instant Savings program. A survey of 100 LED purchasers found that 90% had already installed LEDs, and awareness of ENS and Instant Savings remained high.
𝑦𝑟 𝑊 1000 [ ] 𝑘𝑊 ENS uses displaced wattages of 24.9 W and 44.1 W respectively for LED A-type and Non-A-type lamps. Displaced wattage represents the difference between the old and new wattages. The new wattages were determined using the LE...
AI summary ENS calculates displaced wattages for LED lamps based on 2016 data, using two baseline approaches: early replacement and replace on burn-out. The daily hours of operation used in calculations is derived from the NERHOU Study, averaging 2.9 hours per day.
he value for the daily hours of operation used by ENS for the calculations is based on an average value of 2.9 hours per day, a value drawn from the NERHOU Study35 on efficient lamps. Revised Savings Starting in 2016, ENS tracks LED A-type...
AI summary The document discusses the methodology used by ENS to calculate energy savings from LED lamps, including the use of three unitary savings values based on lamp types and displaced wattage calculations. It also mentions the inclusion of survey questions to gather information on lamp replacement practices.
ils are presented in Table 49 below. Table 49: Wattage Calculations for the Early Replacement Baseline Purchased LED lamps Replaced Lamps Incandescent CFL Halogen LED Average LED Product Category Wattage Average Average Average Average % %...
AI summary The text discusses wattage calculations for LED lamps in an early replacement baseline scenario. It outlines the average wattage for different LED lamp categories and explains the methodology used to determine the baseline wattage based on the most popular LED lamp models and their efficiency.
the recent 12-month period is insufficient to provide the necessary levels of confidence and precision, a long term in-service rate can be used using all bulbs regardless of the time of purchase.” 40 As in the past three years, the Evaluat...
AI summary The Evaluator notes that using a long-term in-service rate for LED lamps may be more accurate due to storage patterns, but has continued to claim savings in the year of purchase. Storage patterns have changed, with more multipacks sold, and more participants replacing lamps as they burn out, suggesting a need for an in-service rate in 2018.
Also, ENS uses a daily hours of operation value of 2.9 based on the NERHOU study.41 Revised Savings The Evaluator reviewed the unitary savings value associated with LED recessed downlight fixtures. Displaced Wattage To establish the displa...
AI summary The document discusses the calculation of displaced wattage for LED recessed downlight fixtures in the Instant Savings program, using data from the 10 best-selling models and referencing the NERHOU study for daily hours of operation. The average wattage of the LED fixtures and their equivalent incandescent/halogen counterparts is analyzed to determine energy savings.
Efficiency Nova Scotia 2017 DSM Evaluation Report Hours of Operation Similar to LED lamps, the Evaluator concluded that the hours of operation value of LED lamps from the 2014 NERHOU Study (2.9 h/day) is still valid for LED recessed downli...
AI summary The 2017 DSM Evaluation Report by Efficiency Nova Scotia discusses the evaluation of LED fixtures, including the hours of operation and unitary savings values. It revises unitary savings values based on displaced wattage and uses data from the NERHOU study for hours of operation.
ue of 2.9 based on the NERHOU study.42 Revised Savings The Evaluator reviewed the unitary savings value associated with ENERGY STAR certified LED fixtures without a motion sensor. Displaced Wattage The Evaluator selected the 10 most popula...
AI summary The document discusses the evaluation of unitary savings associated with ENERGY STAR certified LED fixtures and the calculation of displaced wattage based on light output equivalency to incandescent lamps. The Evaluator used data from retailers and manufacturers, along with energy efficiency regulations, to determine these values.
descent Lamp Wattage43 Old Incandescent Lamps (W) ENERGY STAR Certified Lamp Light Output (Lumens) 40 450 60 800 75 1,100 100 1,600 150 2,600 This analysis indicates that for replaced lamps the average wattage value is 21.4 W and the avera...
AI summary The text discusses energy savings calculations for ENERGY STAR certified LED fixtures, comparing old and new wattage values and calculating unitary savings based on displaced wattage and hours of use. The analysis includes both fixtures with and without motion sensors, referencing data from 2016 and the Ontario Power Authority's 2011 guidelines.
n for Clothes Overall Electricity Consumption Electricity Consumption Washers Consumption52 (kWh) (kWh) Water Heating System 24.8% 163 110 Clothes Dryer 68.1% 448 302 Clothes Washer Drum 7.1% 47 31 Total 100.0% 658 443 To estimate the savi...
AI summary The text discusses electricity consumption by various household appliances, focusing on water heating systems, clothes dryers, and washers. It outlines a method for estimating energy savings from water-heating system improvements, using data from the Energy Efficiency Ratings directory.
Ratings directory. This same percentage was applied to efficient clothes washers. Where an internal heater was present, it was assumed that 100 percent of the water heating savings were to be claimed. For clothes washers using a domestic h...
AI summary The document discusses the methodology used to calculate water heating savings for efficient clothes washers, considering the proportion of electrical DHW tanks in Nova Scotia. Discrepancies in data from Natural Resource Canada and EPI participants led to an update in the values used, affecting energy consumption and savings calculations.
d at 577 kWh for a standard clothes washer and 389 kWh for an efficient clothes washer. As a result, the unitary savings were established at 188 kWh. ENERGY STAR Certified Room Air Purifiers This measure consists of the purchase and instal...
AI summary The document discusses energy efficiency measures, specifically the installation of ENERGY STAR certified room air purifiers and efficient clothes washers. It outlines minimum performance requirements for air purifiers and provides unitary savings estimates based on evaluations.
ty Prescriptive Measures and Assumptions report.62 These parameters are considered more accurate than parameters based on theoretical studies since they are based on field activities such as metering. Using the tracking sheet and the list...
AI summary The document discusses the evaluation of dehumidifier efficiency using real-world data, including the use of ENERGY STAR certified products and established energy factors. It highlights the energy factor requirements set by Canadian regulations and the weighted average water removal capacity used in the Instant Savings program.
a light instead of a new standard efficiency fan. It is a new measure this year and is part of the pilot. ENS tracked a unitary savings of 13 kWh per year based on an early estimate by the Evaluator. The ENERGY STAR specifications require...
AI summary The document discusses the evaluation of energy savings from replacing bathroom fans with more efficient models, using the ENERGY STAR specifications and an algorithm based on the ENERGY STAR Simple Savings Calculator. ENS tracked a unitary savings of 13 kWh per year for this new measure.
was compared to values found in the literature; outdoor motion sensors, clotheslines and drying racks; as well as some of the pilot products for which no ratios were calculated in the Navigant model. The metering study analyzed the HOU val...
AI summary The document discusses the analysis of peak demand-to-energy ratios for residential lighting and related products. It compares findings from different studies, recommending the use of a 0.162 W/kWh ratio based on the NERHOU study. It also sets ratios for clotheslines, outdoor drying racks, and outdoor motion sensors to zero due to their limited impact on winter demand or constant usage.
were available from Statistics Canada. Table 60 lists the interactive effects factors used for lighting products. Table 60: Interactive Effects Calculation for Lighting Products Energy Peak Demand Parameter % of Homes75,76 Interactive Inte...
AI summary The text discusses the calculation of interactive effects factors for lighting products, using data from Statistics Canada on home heating and air conditioning. It includes percentages of homes with different heating and cooling systems and their corresponding energy and peak demand effects factors.
eak Demand energy Ratio Savings Savings LED Lamps 0.162 -16.6% -27.3% 0.141 LED Recessed Downlight Fixtures 0.162 -18.0% -29.7% 0.139 ENERGY STAR Certified LED 0.162 -15.5% -25.5% 0.143 Fixtures Without Motion Sensors ENERGY STAR Certified...
AI summary The document discusses energy savings from various lighting and appliance upgrades, including LED lamps, fixtures, and dimmer switches, along with considerations for interactive effects in refrigerator replacements. It highlights the impact of efficiency improvements and the exclusion of certain interactive effects due to factors like home heating methods.
f homes in Nova Scotia are electrically heated, the interactive effects associated with the purchase of efficient refrigerators were not integrated into the program component net savings calculations. For all other products, interactive ef...
AI summary The 2017 evaluation of the Residential Efficient Product Rebates Program reviewed the Effective Useful Life (EUL) values used by Efficiency Nova Scotia (ENS) for calculating energy savings. The EUL values were adjusted based on literature reviews and technical references to account for increased baselines over time, ensuring accurate lifetime energy savings estimates.
35,010 1,059 33 LED Fixtures With Motion Sensors 43,555 1,077 40 The LED lamps market is evolving rapidly and driven by government regulations. LED lamps installed today are likely to become the baseline before the end of their rated life,...
AI summary The LED lamps market is evolving rapidly due to government regulations and technological advancements, leading to changes in baseline efficiency standards over the product's lifetime. Jurisdictions like Illinois and Massachusetts adjust baselines to reflect new regulations, such as the Energy Independence and Security Act (EISA) 2020, which impacts how energy savings are calculated for LED lamps.
e approach used in Illinois and Massachusetts, the Evaluator applied a triple baseline for LED A-type lamps over their 18-year EUL to find their equivalent EUL that accounts for the following factors:
AI summary The Evaluator applied a triple baseline approach for LED A-type lamps over their 18-year Equivalent Unit Load (EUL) to account for specific factors, similar to methods used in Illinois and Massachusetts.
tures was set to 8 years as shown in Table 69. Table 69: Equivalent Effective Useful Life Calculation Summary for LED Recessed Downlight Fixtures Halogen Incandescent CFL Equivalent Average Baseline – Baseline – American Canadian Legislati...
AI summary The text discusses the Equivalent Effective Useful Life (EUL) calculation for LED recessed downlight fixtures, comparing them to halogen incandescent and CFL equivalents. It references U.S. federal legislation and the Energy Independence and Security Act (EISA) in establishing baseline wattage values.
posed by U.S. federal legislation. Incandescent Equivalent 2nd Tier EISA 2007. 103 Baseline wattage values were established based on the minimum efficiency level of 45 lumen/watts dictated by the EISA regulation and on the assumed level of...
AI summary The document discusses the establishment of baseline wattage values based on EISA regulations and the calculation of equivalent effective useful life for LED fixtures without motion sensors, using a methodology similar to that for A-type lamps.
posed by U.S. federal legislation. Incandescent Equivalent 2nd Tier EISA 2007. 107 Baseline wattage values were established based on the minimum efficiency level of 45 lumen/watts dictated by the EISA regulation and on the assumed level of...
AI summary The document discusses the establishment of baseline wattage values based on EISA regulations and the updating of EUL values for indoor motion sensors and power bars, referencing various reports and standards to ensure accuracy in efficiency evaluations.
ars with integrated timers and load sensing power bars were drawn from a report on smart strips made by PowerSmart Engineering,110 which is the most referenced source in the TRM addressing power bars. For efficient bathroom fans, only the...
AI summary The text discusses the calculation of revised gross savings for energy efficiency measures, including the use of EUL values and line-loss factors. It references reports and data sources such as the GDS Measure Life Report and the DEER2014 EUL Table, and notes the contribution of Nova Scotia Power in providing the line-loss factor used for residential consumers.
Number of Units Number of Units – Spring 56 408 689 1,242 295 - 789 - - - - 265,401 Number of Units – Fall 34 2,049 1,957 228 34 273 107 601 133 1,309 762 385,891 Number of Units – Spring + Fall 90 2,457 2,646 1,470 329 273 896 601 133 1,3...
AI summary The text presents numerical data on energy savings, including the number of units, energy savings values, line loss factors, and peak demand savings across different categories. The data includes metrics such as unitary savings value, gross energy savings, and effective useful life, but no specific claims or arguments are made.
Energy Savings Revised Gross Energy Savings – at 10.640 2.042 3.229 0.505 1.454 0.441 0.150 0.013 0.001 0.192 0.032 the Meter (GWh) NTGR 0.84 0.84 0.84 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 Net Energy Savings – at the 8.937 1.715 2.712 0...
AI summary The document presents data on energy savings and peak demand savings at various points in the energy system, including the meter and generator, with metrics like net energy savings, revised gross energy savings, and net lifetime energy savings measured in gigawatt-hours (GWh). It also includes factors such as the Net-to-Gross Ratio (NTGR) and Line Loss Factor.
Energy Savings Revised Gross Energy Savings 0.005 0.300 0.585 0.221 0.033 0.013 0.168 0.113 0.064 0.106 0.006 20.312 – at the Meter (GWh) NTGR 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 - Net Energy Savings – at the 0.005 0.300...
AI summary The text presents tables detailing energy savings and peak demand savings across various categories, including revised gross energy savings, net energy savings, line loss factors, effective useful life, and net lifetime energy savings. These metrics are calculated at both the meter and generator levels, and include factors such as the Net-to-Gross Ratio (NTGR) and line loss factors.
Efficiency Nova Scotia 2017 DSM Evaluation – Appendix Report Outdoor Motion Sensors ENS and the Evaluator used a unitary savings value of 159 kWh per year for outdoor motion sensors, based on last year’s evaluation results. This value is b...
AI summary The document details the methodology used by Efficiency Nova Scotia (ENS) in evaluating energy savings from outdoor motion sensors, power bars with integrated timers, and load sensing power bars. Savings values are based on past evaluations and assumptions from the OPA 2011 report and other technical references.
DEFINITIONS Accuracy Reflects the proximity of measurements to the true value. The ratio of evaluated results to tracked results. This ratio expresses the Adjustment ratio adjustment made to tracked savings or other tracked values such as...
AI summary The document defines key terms related to energy efficiency and measurement, including accuracy, adjustment ratio, base case, bias, billing calibration, confidence interval, displaced wattage, and EnerGuide rating. These definitions provide a foundation for evaluating energy performance and savings.
easure of the home's energy performance. It is a measure of the efficiency of the building only and does not take into account occupant EnerGuide rating behaviour. It shows how energy efficient the home is through modelled heat losses of t...
AI summary The text defines several energy efficiency and environmental metrics, including EnerGuide ratings, effective useful life, equipment life, equivalent CO2, and equivalent effective useful life. These metrics are used to assess building energy performance, equipment longevity, and greenhouse gas emissions equivalency.
Errors arising during the course of all survey activities other than sampling. Non-sampling error Non-sampling errors tend to lead to bias in measurements and are very difficult to quantify. Peak coincidence The percentage of measure deman...
AI summary The text discusses various concepts related to energy efficiency and measurement, including non-sampling errors, peak coincidence, precision, random sampling error, sample size, secondary market impacts, tracked savings, and unitary savings. These concepts are relevant to evaluating the effectiveness of energy efficiency programs.
am documentation review, interviews with the program manager and four EAs, a telephone survey of 70 participants and an effective useful life (EUL) literature review. HEA Key Findings HEA Performance HEA aimed to achieve 5.4 GWh in net ene...
AI summary The Home Energy Assessment (HEA) program achieved higher energy and peak demand savings in 2017 than its target, despite a decrease in participation due to the discontinuation of provincial funding. Savings per participant increased due to a shift in participant demographics and higher installation of space-heating appliances.
Efficiency Nova Scotia 2017 DSM Evaluation Report For the first time, a billing analysis was performed for the 2017 evaluation with participants who had installed an ASHP in previous years. A total of 33 participants were included in the f...
AI summary The 2017 DSM Evaluation Report analyzed energy savings from air-source heat pumps (ASHPs) installed in electrically heated households, finding an average energy savings value of 0.101 kWh/Btu/h. The report also established an EFLH value of 604 hours for non-electrical participants and noted that revised energy savings are lower than previously tracked due to the presence of other heating systems.
-electrically heated households generated lower savings, this feedback could provide more insight on whether the inclusion of this measure in Green Heat should be reconsidered. 2017 GH-R3. Improve the collection of technical information ab...
AI summary The document discusses the need to improve the collection of technical data on ASHPs and gather additional information on the MSHP market in Nova Scotia. It highlights the importance of accurate performance data for peak demand savings calculations and the lack of comprehensive market data for MSHPs.
Efficiency Nova Scotia 2017 DSM Evaluation Report The pre-retrofit assessment is carried out to examine the house, complete a blower door test and collect information, such as the levels of insulation (attic, exterior wall, etc.), the numb...
AI summary This report outlines the process of pre-retrofit assessments conducted by Efficiency Nova Scotia (ENS) to evaluate home energy efficiency. It details the use of tools like the Home Energy Assessment (HEA) and the Energy Action Plan (EAP) to inform homeowners about potential upgrades and their benefits. The EnerGuide rating system, updated in 2017 to use gigajoules (GJ), is also discussed.
9.3 The initial energy assessment overall (n=70) 9.3 The expertise of the EA (n=70) 9.2 Length of time allowed to complete your upgrades (n=69) 9.1 The Energy Efficiency Evaluation Report you received about home's energy use and recommenda...
AI summary Participants rated various aspects of the energy assessment process, with the Energy Action Plan (EAP) receiving an average rating of 8.0 out of 10. The EAP was found to be useful but had some criticisms regarding the lack of new information and specificity. Participants prioritized reducing energy costs and consumption over other factors like home value or cost.
those that are rarely implemented. This feedback highlights the importance and relevance of a tool such as the EAP. The other EAs did not offer any feedback about this matter. 3.2.4 Market Trends When looking at how energy efficiency has c...
AI summary The document discusses market trends in energy efficiency, noting increased awareness and adoption of energy-efficient products like heat pumps, improved insulation practices, and higher R-value requirements in new home construction compared to existing homes. These trends are observed through feedback from Energy Advisors.
Efficiency Nova Scotia 2017 DSM Evaluation Report All the EAs believed that existing homes have greater potential for improving energy efficiency because they are probably not up to the current building code. The EAs suggested that ENS sho...
AI summary The 2017 DSM Evaluation Report discusses the potential for improving energy efficiency in existing homes and suggests additional measures such as PV panels and tankless water heaters. It also outlines the impact evaluation of the Home Energy Assessment (HEA) program, focusing on gross and net energy savings.
of the wood and pellet space-heating equipment is considered to be electric baseboards, the tracked savings were considered accurate and the Evaluator made no adjustment to the unitary savings value. For those participants who used an air-...
AI summary The document discusses adjustments made to unitary savings values for wood and pellet stoves based on the use of air-source heat pumps (ASHP) as a baseline. The tracked savings were adjusted by dividing by an average coefficient of performance (COP) of 2.1, with revised values established for 2017. No savings values were established for solar air equipment due to lack of installations.
blic Utility Commission,Technical Reference Manual, June 2016, (Section 2.2.1 –Electric HVAC) 13 Unitary savings values with electrical resistance should be divided by a COP of 2.1 rather than 2.0. Home Energy Assessment 19 Existing Reside...
AI summary The text references a technical adjustment to unitary savings values for electric HVAC systems, suggesting a COP of 2.1 instead of 2.0. It also mentions the Home Energy Assessment and the 2017 DSM Evaluation Report by Efficiency Nova Scotia.
- - A mistake was detected in the 2016 evaluation report: a COP of 2 was used instead of 2.1. 4.1.3 Domestic Hot Water Savings Savings for DHW measures are calculated using a unitary savings value specific to each type of measure implement...
AI summary A mistake in the 2016 evaluation report used a COP of 2 instead of 2.1. Domestic hot water savings are calculated using unitary savings values rather than simulation results from HOT2000 software, as the latter overestimated space heating consumption and was not suitable for DHW modeling. The next section discusses the Evaluator's analysis of unitary savings values used by ENS.
ration which preheats cold water between the hot water tank and shower and an R3-60 model unit, which meets the HEA minimum efficiency requirement and is included in the list of NRCan eligible models. The Evaluator considered that the onli...
AI summary The text discusses the efficiency of drain water heat recovery (DWHR) systems and solar domestic hot water (DHW) systems under the Home Energy Assessment (HEA) program. It notes the use of a unitary savings value for DWHR systems and references a solar DHW savings value based on past installations.
Oreo et al.,Residential End Uses of Water, AWWA Research Foundation, 1999,pp. 99-102. 16 Mayer, P. W., W. B. Oreo et al., Residential End Uses of Water, AWWA Research Foundation, 1999, pp. 99-102. Home Energy Assessment 21 Existing Residen...
AI summary The document discusses the evaluation of residential energy efficiency programs, focusing on the unitary savings value of solar domestic hot water (DHW) systems installed through the Home Energy Assessment (HEA) program in 2017. The value was determined based on average system performance, with 39 systems installed through Green Heat between 2015 and 2017.
systems installed through Green Heat. The unitary savings value was established by the Evaluator at 2,803 kWh per year for the solar DHW systems installed through HEA in 2017. Heat Pump Water Heater The annual unitary savings value used by...
AI summary The document outlines energy savings values for solar DHW systems and heat pump water heaters (HPWH) installed through HEA. The unitary savings values are established using modeling techniques and historical data, with HPWH savings calculated based on differences in energy use between standard and HPWH systems.
Efficiency Nova Scotia 2017 DSM Evaluation Report 4.1.5 Interactive Effects In a home, interactive effects occur when the implementation of energy-efficiency measures has an impact on the energy consumption of other factors, such as heatin...
AI summary The 2017 DSM Evaluation Report discusses interactive effects of energy-efficiency measures in homes, noting that space-heating measures are already accounted for in simulations, while DHW measures like DWHRs and solar systems have no interactive effects. HPWHs had negligible effects due to low installation numbers. The report also reviews effective useful life (EUL) values for program measures, relying on literature and reliable data sources.
mon values found in TRMs, evaluation reports or relevant studies. Those sources that based their EUL estimates on measured data or other reliable methods were preferred, whenever these were available. Table 13 presents the tracked and the...
AI summary The document discusses the use of Energy Use Life (EUL) values in calculating lifetime energy savings for building-envelope measures and space-heating systems, with a weighted average of revised EUL values applied. It references Table 13 and mentions the Home Energy Assessment and Efficiency Nova Scotia's 2017 DSM Evaluation Report.
Life Report, Table 1; value for retrofit Wood or Pellet 18 heating and cooling systems Furnace/Boiler 17 GDS Associates, Inc., Measure Life Report: Residential and Commercial/Industrial Lighting and HVAC Measures, Report prepared for the E...
AI summary The document references a Life Report and a Measure Life Report discussing retrofit values for heating and cooling systems, including furnaces and boilers. It also cites sources such as the Database for Energy Efficiency Resources (DEER) and the United States Department of Energy, relating to energy efficiency measures and geothermal heat pumps.
Efficiency Nova Scotia 2017 DSM Evaluation Report ENS Tracked Revised Measure Reference EUL EUL Solar Air 20 ENERGY STAR, Save Money and More with ENERGY STAR Qualified Solar Water Heaters20 Heat Recovery Ventilation Natural Gas Energy Eff...
AI summary The 2017 DSM Evaluation Report by Efficiency Nova Scotia reviews energy efficiency measures and their Equivalent Full-Load Hours (EUL) based on various technical reference manuals (TRMs) and guidelines, including the Guide for Determining the Economic and Environmental Benefits of Energy Efficiency Measures (GDS). The report highlights the use of EUL values from the 2007 GDS Measure Life Report for estimating the lifespan of building envelope and heating measures.
et of EUL values that could be consistently used across the New England states. The EUL values documented in this report were obtained through a literature review as well as stakeholder consultations. ENS currently uses a EUL value of 26.7...
AI summary The document discusses the use of Energy Use Life (EUL) values for energy efficiency measures, suggesting the use of different EUL values for different types of measures to more accurately calculate lifetime energy savings. It references various reports and literature reviews to support these recommendations.
Efficiency Nova Scotia 2017 DSM Evaluation Report Regarding ASHPs, which include central ducted heat pumps, MSHPs and AWHPs, the literature review revealed that the EUL value is between 1524 and 18 years.25 Two sources were commonly used b...
AI summary The 2017 DSM Evaluation Report discusses the Energy Use Life (EUL) values for air-source heat pumps (ASHPs) and ground-source heat pumps (GSHPs), citing various sources such as TRMs, DEER, GDS Report, ASHRAE, and NRCan. The EUL for ASHPs is set at 18 years, while for GSHPs, it is determined to be 25 years. A weighted overall EUL of 20 years is established for building-envelope measures and heat pumps combined.
e combined under HOT2000. By using the proportions of participants who installed building-envelope measures and heat pumps, a weighted overall EUL value of 20 years was established for these measures. Since very few TRMs document the speci...
AI summary The document discusses the establishment of an Energy Use Life (EUL) value of 20 years for building-envelope measures and heat pumps, based on participant proportions. It also references the use of EUL values from various Technical Reference Manuals (TRMs) and reports, including ASHRAE and Natural Resources Canada (NRCan) sources.
w.culluminc.com/wp- content/uploads/2013/02/ASHRAE_Chart_HVAC_Life_Expectancy%201.pdf, (Last accessed February 28, 2018). 31 Database for Energy Efficiency Resources (DEER), DEER2014 EUL Table, 2014, https://www.google.ca/url?sa=t&rct=j&q=...
AI summary The Evaluator calculated a weighted average EUL value of 20 years for space-heating measures, using data from building-envelope measures, heat pumps, and biomass measures to determine lifetime energy savings for these measures in the 2017 DSM Evaluation Report.
for biomass measures, the Evaluator established a weighted average EUL value of 20 years for space-heating measures and used this average value to calculate lifetime energy savings for these measures. As for hybrid HPWHs, most jurisdiction...
AI summary The Evaluator assigned weighted average EUL values to various energy efficiency measures, including 20 years for biomass and solar air heating systems, 10 years for hybrid HPWHs based on DEER, and 20 years for DHW solar systems based on ENERGY STAR. These values were selected based on jurisdictional references and literature.
e Evaluator chose to use an EUL value of 20 years for both measures since this value is in line with the EUL value proposed in the Massachusetts report and the Ohio TRM. 4.1.7 Revised Gross Savings The annual gross savings for HEA are pres...
AI summary The Evaluator used an EUL value of 20 years for energy efficiency measures, aligning with Massachusetts and Ohio reports. Adjustments to gross savings for HEA included revised unitary savings for heating equipment, solar DHW systems, and Green Heat deductions. Line loss factors were applied to estimate generator-level savings, resulting in 8.306 GWh and 2.348 MW annual energy and peak demand savings, with 166.116 GWh in lifetime savings.
ounted to 8.306 GWh and 2.348 MW respectively. Based on the revised EUL values for various types of measures, the 2017 annual gross energy savings represents 166.116 GWh in lifetime energy savings. Home Energy Assessment 27 Existing Reside...
AI summary The document provides data on energy savings from the Home Energy Assessment (HEA) program, including revised gross energy and peak demand savings. It references the 2017 DSM Evaluation Report and Efficiency Nova Scotia's existing residential program.
nverted D assessment spillover savings do not depend on the number of regular HEA participants, they are accounted for in measurement units instead of a percentage, without being included in the NTGR. In the previous evaluation, a survey c...
AI summary The evaluation of unconverted D assessment spillover savings uses a 54% participation rate and an average electrical savings of 2,283 kWh per participant, derived from previous assessments. Peak demand savings are calculated using the same demand-to-energy ratio as for regular HEA participants, resulting in 0.632 GWh and 0.179 MW of savings.
0.283 Total Unconverted D Assessment Spillover Peak Demand Savings – at the Meter (MW) 0.179 4.4 Net Savings Net savings represent the savings that can be reliably attributed to a program component. They are calculated by applying the afor...
AI summary The text discusses net savings from a program, calculating them using a NTGR factor and unconverted D assessment spillover savings. It estimates energy and peak demand savings for HEA in 2017, and calculates avoided CO2 emissions based on Nova Scotia-specific GHG factors from 2016.
cy Nova Scotia 2017 DSM Evaluation Report Table 18: Evaluated Net Energy and Peak Demand Savings for HEA Savings Total Energy Savings Revised Gross Energy Savings – at the Meter (GWh) 7.558 NTGR 0.76 Unconverted D Assessment Spillover Ener...
AI summary This section of the 2017 DSM Evaluation Report presents evaluated net energy and peak demand savings for the Home Energy Assessment (HEA) program. It includes figures for energy savings at the meter and generator, as well as peak demand savings, and compares them with tracked savings in Table 19.
Table 21: Implementation Status of Recommendations in the 2016 Executive Summary 2016 Recommendations Status 2016 GH-R1. Monitor market progress to adapt the program component offer to the Implemented evolving market. 2016 GH-R2. Increase...
AI summary The document outlines the implementation status of recommendations from the 2016 Executive Summary, including monitoring market progress, increasing program advertising, and researching more accurate sources for savings calculations. It also mentions the temporary expansion of heat pump offerings to non-electrically heated homes.
rs that include equipment sales and prices. To implement this recommendation, ENS asked the Evaluator to conduct a market evolution assessment. The results of this analysis are presented in Section 9. Pursuant to Recommendation 2016 GH-R3,...
AI summary The document discusses updates to tracked savings for MSHPs based on 2016 and 2017 evaluations, including expanded participation in the Green Heat program and the inclusion of non-electrically heated homes. It also outlines the installation of various measures and the impact of policy changes on participation.
on the use of the different energy sources available in these homes. The on-site visit sampling methodology and the protocol used to collect information are presented in Appendix XIII. Savings Review The Evaluator applied various methodolo...
AI summary The document discusses the methodology used to evaluate energy savings from biomass, solar thermal, and heat pump measures, as well as a price sensitivity analysis conducted with MSHP participants. It also references the number of participants and measures installed under the Green Heat program and mentions the 2017 DSM Evaluation Report.
Efficiency Nova Scotia 2017 DSM Evaluation Report 8 GREEN HEAT IMPACT EVALUATION The objective of the 2017 Green Heat impact evaluation is to determine the gross and net electrical energy and peak demand savings achieved. 8.1 Gross Savings...
AI summary The 2017 Green Heat impact evaluation assesses the gross and net electrical energy and peak demand savings from the program. On-site visits were conducted for biomass, heat pump, and solar measures, with a focus on MSHPs and ASHPs. The peak demand savings period is defined as the coldest days between December and February.
M Evaluation Report Table 31: On-site Visits by Measure Category Measure Category Measure Number of On-site Visits Wood stove 2 Biomass Pellet stove 1 Wood Furnace or Boiler 1 Air-source heat pump 5 Ground-source heat pump 1 Heat Pump Mini...
AI summary The report details on-site visits for biomass and heat pump measures, confirming that new biomass equipment serves as the primary heating source, with electric baseboards as secondary. Heat pump installations were also evaluated, with no issues reported by participants.
Efficiency Nova Scotia 2017 DSM Evaluation Report 8.1.2 Savings Review of Biomass Measures, Solar Measures and Hybrid Heat Pump Water Heaters The Evaluator reviewed the savings methodologies and calculation values for all biomass and solar...
AI summary The document evaluates energy savings from biomass, solar, and hybrid heat pump water heaters installed under Green Heat in 2017. Unitary savings values for wood and pellet stoves are based on HOT2000 models, calibrated to historical electrical consumption, with adjustments made for participants using ASHPs based on COP values from the Pennsylvania Public Utility Commission's TRM45.
em. Therefore, the unitary savings values for those participants were calculated by dividing the unitary savings value by a COP of 2.1 based on the TRM45 of the Pennsylvania Public Utility Commission. With respect to peak demand savings, i...
AI summary The document discusses the calculation of unitary savings values for wood and pellet stoves, using a COP of 2.1 from the Pennsylvania Public Utility Commission's TRM. It also explains that peak demand savings were not adjusted for ASHP baselines, leading to two distinct baselines within the category.
Value (kWh/year) Savings Value (kW) Wood Stove with Electrical Resistance Baseline 10,443 4.0 Pellet Stove with Electrical Resistance Baseline 8,959 4.0 Wood Stove with ASHP Baseline 5,222 4.0 Pellet Stove with ASHP Baseline 4,480 4.0 Revi...
AI summary The document discusses energy savings values for various heating systems, including wood and pellet stoves with and without ASHP, and wood and pellet boilers and furnaces. It notes that revised savings values were applied due to a calculation error in a prior report and that tracked savings values are based on a 2010 program review and adjusted using billing analysis and energy modeling.
alysis and HOT2000 energy modelling to reflect the typical annual heating consumption values of actual 2012 program component participants. These values, listed in Table 33, have been used since 2013. Table 33: Tracked Unitary Savings Valu...
AI summary The document discusses the use of energy modelling and tracked unitary savings values for wood and pellet furnaces and boilers since 2013, including adjustments for electrical resistance and references to a 2010 report on a residential fuel substitution pilot program.
of the calculated energy savings values. Therefore, the Evaluator recommends that ENS continue using the RETScreen energy models to determine unitary savings. Heat Pump Water Heaters Tracked Savings The unitary savings value for HPWHs was...
AI summary The document discusses the calculation of energy savings values for heat pump water heaters (HPWHs) using energy models and the determination of unitary peak demand savings based on a demand-to-energy ratio. The Evaluator recommends continuing the use of RETScreen models for energy savings calculations.
Efficiency Nova Scotia 2017 DSM Evaluation Report Since a peak coincident demand savings factor could not be determined through the billing analysis, MSHP peak demand savings are calculated for each installed MSHP system for electrically h...
AI summary This section of the 2017 DSM Evaluation Report discusses the calculation of peak demand savings for Mini-Split Heat Pumps (MSHP) in electrically heated households, using a modified version of the Pennsylvania PUC TRM algorithm. It outlines the parameters and their numerical values used in the calculation.
_ kW/kW COP for the new heat pump at -15 °C installed system Non-electrically Heated Households For non-electrically heated households, tracked MSHP energy savings are currently calculated based on a slightly modified version of the Pennsy...
AI summary The document discusses modifications to the energy savings calculation for mini-split heat pumps (MSHPs) in non-electrically heated households, using a modified version of the Pennsylvania PUC TRM49. It also outlines changes to peak demand savings calculations, incorporating the rated heating capacity and COP at -15 °C.
Specification data for each installed system (Air conditioning, Heating Btu/h Rated heating capacity of the new heat pump and Refrigeration Institute [AHRI] Certified Value) Rated heating capacity of the new heat pump Specification data fo...
AI summary The document provides technical specifications for installed heating and cooling systems, including rated capacities, performance factors, and energy efficiency ratios for heat pumps and air conditioning units, referencing AHRI certified values and PUC TRM standards.
C system Central AC: 13 Room AC: 11.3 Seasonal energy efficiency ratio for the Specification data for each installed Btu/W·h new equipment system (AHRI Certified Value) h/year Full heating load hours 2,280 (Minnesota TRM) h/year Full cooli...
AI summary The document discusses energy efficiency calculations for homes with MSHPs, noting differences in savings based on whether homes are electrically heated. It references a billing analysis conducted in 2017 with more participants and longer post-installation periods than the 2016 evaluation.
ublic Utility Commission (PUC), Technical Reference Manual, June 2015, Section 2.2 – HVAC. 51 Fully electrically heated households correspond to households that are 100 percent electrically heated. Green Heat 68 Existing Residential Progra...
AI summary The 2017 DSM Evaluation Report by Efficiency Nova Scotia analyzed electrical consumption data from 292 participants before and after the installation of Mini-Split Heat Pumps (MSHPs). A regression model based on the Princeton Scorekeeping Method was used to compare energy consumption changes.
participant instead of analyzing the data as a whole. The linear regression model is expressed in the following equation: CONS A B x HDD Where: › CONS is the average daily consumption › A is the daily base consumption constant › B is the u...
AI summary The document discusses the use of a linear regression model to analyze electricity consumption, distinguishing between base consumption and temperature-related consumption. It focuses on comparing pre- and post-installation billing data to measure energy savings from MSHP installations, using normalized HDD values for comparison.
unting for Real-Life Conditions in Mini-Split Heat Pump Savings: Findings from a Billing Analysis” in Proceedings of the 2017 International Energy Program Evaluation Conference, Baltimore, MD, 2017. Green Heat 70 Existing Residential Progr...
AI summary The document discusses findings from a billing analysis on the energy savings of mini-split heat pumps (MSHP) in residential settings, including average energy savings and energy savings per installed capacity for fully and mainly electrically heated households. It also mentions the calculation of heating equivalent full load hours (EFLH) from the analysis.
ating equivalent full load hours (EFLH) value resulting from the billing analysis of energy savings. To do so, the EFLH variable was isolated from the general heat pump energy savings algorithm below. 1 1 ∗ – ∗ Where: › HC is the heat pump...
AI summary The text discusses the calculation of heating equivalent full load hours (EFLH) for fully and mainly electrically heated households using energy savings data, including average heating capacities and HSPF values for heat pumps. The calculated EFLH values were 852 hours and 330 hours for the respective household types, with an overall average of 668 hours.
holds respectively. The average EFLH value for all participants included in the billing analysis (118 fully electrically heated household and 52 mainly electrically heated households) is 668 hours. Green Heat 71 Existing Residential Progra...
AI summary The evaluation report compares EFLH values from billing analyses and metering studies, noting that cold climate heat pumps in Massachusetts had EFLH values similar to the average of 668 hours found in Nova Scotia's billing analysis, despite some units not being used regularly during heating seasons.
FLH for cold climate heat pumps specifically (526 hours in winter 2015 and 420 hours in winter 2016) are of the same magnitude as the average value of 668 hours obtained through this billing analysis. The significant impact of secondary no...
AI summary The document discusses the impact of secondary non-electrical heating systems on energy savings from heat pumps, referencing studies from Ecotope and the Cadmus Group. It highlights a significant decrease in savings for households with such systems and notes the methodology used for calculating savings in non-electrically heated homes.
ured using electrical billing data prior to the installation of the heat pump. 54 The Cadmus Group, Inc., Ductless Mini-Split Heat Pump Impact Evaluation, Prepared for the Electric and Gas Program Administrators of Massachusetts and Rhode...
AI summary The evaluation report considers basecase scenarios for non-electrically heated households under the Green Heat program, assessing how different participant behaviors affect energy savings based on whether they would have purchased a heat pump, switched to electrical heating, or kept their existing non-electrical heating system.
are purchasing heat pumps sooner than anticipated because of Green Heat, the Evaluator did not make adjustments to account for the change in timing due to Green Heat influence for the 2017 evaluation. The Evaluator conducted a sensitivity...
AI summary The evaluation found that Green Heat influenced participants to purchase heat pumps earlier than expected, impacting savings calculations. Sensitivity analysis showed that 30% of non-electrically heated households would need to have a non-electrical basecase for average first-year savings to be nil. However, only 19% of participants indicated they would have delayed purchases without Green Heat, suggesting a positive overall energy savings impact.
nil (i.e. the overall energy savings impact from non-electrical participants would be positive if only 19% of participants would have waited to purchase their heat pump in the absence of Green Heat). The Evaluator also considered the impac...
AI summary The evaluation of the Green Heat program considers the impact of early heat pump purchases on energy savings, noting that even with some participants buying heat pumps earlier, lifetime energy savings remain positive. However, there is uncertainty about the extent of any savings decrease, and the Evaluator recommends more precise quantification of negative savings in the future.
or all non-electrically heated households, the Evaluator used the previously defined general heat pump energy savings algorithms to calculate annual energy savings and peak demand savings, as follows: 1 1 ∗ – ∗ 1 1 ∗ 3.412 _ _ Capacities a...
AI summary The document discusses the methodology used to calculate energy and peak demand savings for non-electrically heated households using MSHPs. It outlines the use of specific efficiency levels and capacities for MSHPs, referencing federal energy efficiency regulations and baseline efficiency standards.
d by the survey results. Revised Parameters Summary Table 39 summarizes the parameters used in the energy and peak demand savings equations for MSHPs installed in non-electrically heated households. Table 39: Parameters Used for Savings Ca...
AI summary The document discusses the parameters used in energy and peak demand savings equations for MSHPs installed in non-electrically heated households. It references Energy Efficiency Regulations and AHRI Certified Values as sources for these parameters.
2017 DSM Evaluation Report 8.1.4 Savings Review of Central Air-source, Air-to-water and Ground-source Heat Pumps Central Air-source and Air-to-water Heat Pumps The central air-source heat pump category under Green Heat currently includes c...
AI summary The 2017 DSM Evaluation Report reviews energy savings from central air-source and air-to-water heat pumps. Savings are calculated using a modified Pennsylvania PUC TRM57 algorithm, AHRI-certified capacities, and performance metrics based on Northern Minnesota energy modelling data.
d cooling EFLH of 2,28059 and 213 hours per year are based on the values for Northern Minnesota retrieved from the 2017 State of Minnesota TRM60 which obtained these results through energy modelling. 1 1 ∗ – ∗ 1000 1 1 ∗ ∗ ∗ 1000 Peak dema...
AI summary The text discusses the calculation of cooling EFLH based on data from Minnesota's TRM and the determination of peak demand savings using performance data from fifteen ASHPs installed in 2015. A transcription error in 2016 is also noted.
60 Minnesota Department of Commerce – Division of Energy Resources, State of Minnesota Technical Reference Manual for Energy Conservation Improvement Programs – Version 2, Effective January 1, 2017. Green Heat 78 Existing Residential Progr...
AI summary The document references a technical reference manual from the Minnesota Department of Commerce and discusses energy conservation improvement programs. It also mentions an evaluation report related to Efficiency Nova Scotia's 2017 DSM program, including a table defining parameters for tracked energy and peak demand savings, specifically focusing on Air Source Heat Pumps (ASHP).
Specification data for each installed Btu/h Rated heating capacity of the new heat pump system (AHRI Certified Value) Rated heating capacity of the new heat pump Specification data for each installed Btu/h at an outdoor air temperature of...
AI summary The text provides technical specifications for heat pump systems, including heating and cooling capacities, seasonal performance factors, and efficiency ratios. It references certified values from AHRI and the PUC TRM, indicating a focus on performance metrics for energy efficiency programs.
Room AC: 11.3 Seasonal energy efficiency ratio for the Specification data for each installed Btu/W·h new equipment system (AHRI Certified Value) h/year Full heating load hours 2,280 (Minnesota TRM) h/year Full cooling load hours 213 (Minne...
AI summary The document includes technical specifications for room AC units and heat pumps, referencing the Pennsylvania Public Utility Commission's Technical Reference Manual. It also mentions the 2017 DSM Evaluation Report by Efficiency Nova Scotia, which discusses revised savings in an existing residential program.
io than for the fully electrically heated participants in the present study. 62 Cadmus and IESO, Evaluation of Verifying Cold Climate Air Source Heat Pumps in Electrically Heated Residential Homes in Ontario, Canada, Poster presented at th...
AI summary The evaluation of air-source heat pumps (ASHPs) in residential homes found that cooling degree days (CDD) were not effective in predicting energy consumption. A unitary savings value of 0.101 kWh/Btu/h was used to revise savings estimates for ASHPs, based on participants with fully electric heating systems. The small sample size of non-electrical heating participants led to their exclusion from the analysis.
t allow outliers to be identified, and therefore it was considered best to exclude those results from the sample. By considering participants of categories 1 and 3, EFLH were established at 604 hours. Like the MSHP billing analysis, the AS...
AI summary The analysis excludes outliers and uses EFLH of 604 hours for categories 1 and 3. Peak demand savings for ASHPs are estimated using a 2015 value of 3.04 kW, but the Evaluator recommends tracking ASHP parameters at -15°C for greater accuracy. The methodology for calculating revised savings for ASHPs in non-electrically heated households considers three scenarios participants might have taken without the program.
1 ∗ 0 _ Thus, an average unitary energy savings value of 352 kWh and an average unitary peak demand savings value of 1.06 kW were used to calculate savings generated by ASHPs installed in non-electrically heated households. Ground-source H...
AI summary The document discusses energy savings calculations for ASHPs and GSHPs, including the use of standardized algorithms and performance data. It references specific values for energy efficiency and heating/cooling hours based on external technical references.
66 Minnesota Department of Commerce – Division of Energy Resources “State of Minnesota Technical Reference Manual for Energy Conservation Improvement Programs – Version 2” Effective January 1, 2017. Green Heat 84 Existing Residential Progr...
AI summary The document references a technical manual from the Minnesota Department of Commerce and discusses efficiency programs, including a table related to Ground-Source Heat Pump (GSHP) parameters and their numerical values.
3412 / Table 43: Definition of the Parameters and their Numerical Values - GSHP Acronym Unit Variable Value/Source Btu/h Heating capacity of installed system Specification data for each installed system Btu/h Cooling capacity of installed...
AI summary Table 43 defines parameters and their numerical values for GSHP systems, including heating and cooling capacities, performance factors, and derating factors, sourced from specification data and PUC TRM.
No AC in baseline = 0 67 Pennsylvania Public Utility Commission (PUC), “Technical Reference Manual”, June 2015, Section 2.2 – HVAC. Green Heat 85 Existing Residential Program Efficiency Nova Scotia 2017 DSM Evaluation Report Revised Saving...
AI summary The document discusses the evaluation of energy savings for Ground-Source Heat Pumps (GSHPs) and the challenges in updating savings estimates based on existing studies. It highlights differences in operational characteristics between ASHPs and GSHPs and questions the applicability of previous findings.
ions; one major difference is that GSHPs run at a constant capacity and efficiency independently of outside air temperature. Despite this, the value of 2,280 hours seems too high for two main reasons: › This savings value is based on a hea...
AI summary The document evaluates the energy savings of Ground-Source Heat Pumps (GSHPs) installed through the Green Heat program, noting that the estimated savings of 24,000 kWh may be too high compared to an average of 14,600 kWh based on billing analysis. Factors such as secondary heating systems and the heating capacity used in calculations are cited as reasons for potential overestimation.
ulated the difference in electricity consumption between the pre-installation and post- installation periods. The Evaluator also analyzed the annual electricity consumption prior to GSHP installation. Electricity savings were obtained for...
AI summary The evaluation analyzed electricity consumption before and after GSHP installation, finding significant savings for five of nine participants. Results for others were not statistically significant, possibly due to existing central heat pumps. The analysis focused on four participants without prior central heat pumps.
8 GSHP Wood/Pellet Stove Yes 16,778 1,171 9 GSHP Natural Gas Yes 47,422 4,284 It was not possible to obtain annual energy consumption or savings for one of the fully-electrically heated households because sufficient data was not available....
AI summary The analysis of energy savings from GSHP installations shows that the current ENS value is too high. Savings for some participants were lower than expected, and the Evaluator suggests using an ELFH value of 1,384 hours for more accurate calculations. The same methodology was used for peak demand savings.
esponds to the number of hours a three-ton GSHP would need to operate to meet a heating load of 14,600 kWh. For peak demand savings, the Evaluator used the same methodology as for tracked savings. Green Heat 87 Existing Residential Program...
AI summary This section discusses interactive effects and effective useful life (EUL) in the context of the Green Heat program. It explains that high-efficiency heating measures do not change heating or cooling loads, except for heat pump water heaters (HPWHs), where interactive effects are already accounted for. EUL values were reviewed based on literature and reliable data sources for the 2017 evaluation.
vant studies. Sources that based their EUL estimates on measured data or other reliable methods were preferred when possible. Table 45 presents the tracked and revised EUL values by measure category. Table 45: Summary of Effective Useful L...
AI summary The document discusses the Effective Useful Life (EUL) values for various energy efficiency measures, with some revisions based on reliable data sources. For instance, Ground-source Heat Pumps had their EUL revised from 18 to 25 based on the United States DOE, while Hybrid Heat Pump Water Heater EUL was revised from 13 to 10.
with ENERGY STAR Qualified Solar Solar Air Heating System 10 20 Water Heaters70 69 United States Department of Energy, Geothermal Heat Pumps Department of Energy, http://energy.gov/energysaver/articles/geothermal-heat-pumps> (Last accessed...
AI summary The document discusses the use of the GDS Associates Measure Life Report for estimating the measure life of residential heating measures, referencing EUL values from ASHRAE and DEER. It notes that few TRMs document specific EUL values for biomass measures, so the GDS report's value is used instead.
lue is consistent with the value suggested by the ASHRAE72 for furnaces (18 years) and the value suggested by the Database for Energy Efficiency Resources (DEER)73 for boilers and furnaces (20 years). For air-source heat pumps, which inclu...
AI summary The document discusses the estimated useful life (EUL) of various heating systems, including furnaces, air-source heat pumps (ASHPs), and ground-source heat pumps (GSHPs). It references multiple sources such as ASHRAE, DEER, GDS, and NRCan to determine appropriate EUL values for these systems.
up, June 2007, Table 1, pp. 1-3, https://energy.mo.gov/docs/default-source/energy_division/measure-life-report-2007.pdf. 72 ASHRAE, ASHRAE Equipment Life Expectancy Chart, http://www.culluminc.com/wp- content/uploads/2013/02/ASHRAE_Chart_H...
AI summary The document references various sources, including reports and databases, that provide information on equipment life expectancy and energy efficiency, particularly related to heat pumps and energy-saving measures. It also mentions the 2017 DSM Evaluation Report for Efficiency Nova Scotia.
ting has very few mobile mechanical components. 8.1.7 Summary of Savings Values Table 46 and Table 47 list the tracked and revised savings values for each measure installed under Green Heat. Table 46: Tracked and Revised Unitary Savings Va...
AI summary The text provides a summary of savings values for various energy efficiency measures under the Green Heat program, including tracked and revised unitary energy and demand savings for biomass, solar, and domestic hot water (DHW) measures. Tables list specific savings values for different technologies such as wood stoves, pellet stoves, and heat pump water heaters.
Energy Savings Number of Units 50 20 2 0 14 3 Tracked Energy Savings (GWh) 0.484 0.171 0.028 0.000 0.036 0.007 Adjustment Ratio for Energy Savings N/A N/A N/A N/A 1.000 N/A Revised Unitary Energy Savings (kWh) 10,443 8,959 13,804 13,765 N/...
AI summary The text presents data on energy savings and peak demand savings across various categories, including the number of units, tracked energy savings, adjustment ratios, and gross energy savings at different points in the system. It also includes metrics such as line loss factor, effective useful life, and gross lifetime energy savings.
Revised Gross Energy and Peak Demand Savings for Green Heat (Continued) MSHP – MSHP – MSHP – ASHP and ASHP and Measure Category Fully Mainly Non- AWHP – AWHP – Non- GSHP Total Electrical Electrical electrical Electrical electrical Energy S...
AI summary The text presents revised gross energy and peak demand savings for various heating technologies, including MSHP, ASHP, and GSHP, with data on the number of units, energy savings, adjustment ratios, and effective useful life. This information is used to evaluate the impact of energy efficiency measures in Nova Scotia.
Table 51: Evaluated Net Energy and Peak Demand Savings for Green Heat Wood Furnace/ Pellet Furnace/ Measure Category Wood Stove Pellet Stove Solar DHW HPWH Boiler Boiler Energy Savings Revised Gross Energy Savings – at the Meter (GWh) 0.51...
AI summary Table 51 presents evaluated net energy and peak demand savings for the Green Heat program, comparing various heating measures such as wood and pellet stoves, boilers, solar DHW, and HPWH. The table includes energy savings at the meter and generator, net-to-gross ratios, line loss factors, and net lifetime energy savings.
Efficiency Nova Scotia 2017 DSM Evaluation Report 9.2.5 Codes and Standards The ultimate indicator of market transformation is the adoption of more stringent codes and standards. The latest version of the building code for small residentia...
AI summary The 2017 DSM Evaluation Report discusses the adoption of building codes and standards in Nova Scotia, noting that current codes do not require more efficient heating systems than electric resistance heating. It also highlights free-ridership rates for MSHPs in 2015, 2016, and 2017, with varying rates based on the heating type of homes.
2 sets × 94.0 W × 232 h/yr = 43.6 Unitary Energy Savings Value (per exchange) kWh/year Efficient Product Installation 121 Existing Residential Program Efficiency Nova Scotia 2017 DSM Evaluation Report 13.1.4 Faucet Aerators Tracked Savings...
AI summary The document discusses the unitary energy savings values for faucet aerators installed in single-family homes and apartments, based on evaluations from 2014 and 2016. These values are calculated using a custom equation that considers flow rate reduction, total domestic hot water consumption, and the number of faucet aerators per home.
ow rate, the total DHW consumption and the number of faucet aerators per home. This algorithm was established in the 2014 evaluation report and was used again for the 2016 evaluation. Revised Savings The algorithm used in the three previou...
AI summary The text discusses the algorithm used to determine the unitary savings values for faucet aerators, noting that it has remained consistent since the 2014 evaluation. Adjustments were made in 2017 based on average occupancy and faucet counts for single-family homes and apartments, with specific values provided in Table 62.
(kWh/year) (kWh/year) Faucet Aerator 98 95 13.1.5 Low-flow Showerheads Tracked Savings As presented in Table 63, for single-family homes, ENS uses unitary savings values of 369 kWh, 553 kWh or 738 kWh for low-flow showerheads (or shower wa...
AI summary This section discusses the energy savings from low-flow showerheads in single-family homes and apartments. Unitary savings values are provided for different flow reductions, calculated using a custom DHW consumption equation based on evaluations from 2014 and 2016.
tank wraps installed through EPI have a thermal resistance of 1.21 m2·°C/W. ENS uses a unitary savings value of 131 kWh per year for single-family homes and a value of 118 kWh per year for apartments. These two unitary savings values have...
AI summary The document discusses revised energy savings values for hot water tank wraps installed through the Efficient Product Installation (EPI) program, noting a change in thermal resistance for single-family homes. It also mentions the use of a unitary savings value for smart power controllers for audio-visual equipment since 2013.
ontrollers for Audiovisual Equipment Tracked Savings Since 2013, ENS has used a unitary savings value of 411 kWh per year for the installation of a smart power controller for audio-visual equipment. This unitary savings value is based on a...
AI summary Since 2013, ENS has used a unitary savings value of 411 kWh per year for smart power controllers for audiovisual equipment. This value was based on a South African study and validated by the Victorian State Government. In 2015, the Evaluator confirmed this value was appropriate but noted that homes with more than two controllers may have reduced savings, recommending a limit of two controllers per home.
sed to estimate peak demand savings for EPI, except for lighting products, for which measured data obtained from the Residential Lighting Metering Study was compared to values found in the literature. The study analyzed the HOU values spec...
AI summary The text discusses a study comparing peak-demand-to-energy ratios for residential lighting, finding that previous estimates were overestimated. It recommends using a more accurate ratio from the NERHOU study for both indoor and outdoor lamps, including LED nightlights, due to lower margin of error and broader sample coverage.
oling load during summer. The same effect occurs for hot water insulation measures. 102 Nova Scotia Power, Open Access Same-Time Information System, Hourly Total Net Nova Scotia Load, available at (Last accessed January 18, 2016). Efficien...
AI summary The 2017 DSM Evaluation Report discusses the methodology used by Energy Nova Scotia (ENS) to calculate interactive effects for energy and peak demand savings, noting that most jurisdictions use separate factors for each. ENS updated its approach in 2016 to reflect this practice.
E12 LED lamps. 108 Adjusted peak-demand-to-energy ratio = peak-demand-to-energy ratio × (1 + interactive effects factor for peak demand savings) / (1 + interactive effects factor for energy savings) Efficient Product Installation 133 Exist...
AI summary The document discusses the calculation of adjusted peak-demand-to-energy ratios, incorporating interactive effects factors for peak demand and energy savings. It also details the methodology used in the 2015 RP&C evaluation for determining energy interactive effects factors for DHW measures, noting differences between apartments and single-family homes.
dered the most common values found in TRMs, evaluation reports or relevant studies. The sources that based their EUL estimates on measured data or other reliable methods were preferred when available. The EUL value found in the literature...
AI summary The text discusses the adjustment of Effective Useful Life (EUL) values based on data from TRMs, evaluation reports, and studies. It emphasizes the use of reliable methods and the application of a single EUL value across all EPI building types.
he following measures’ EUL values tracked by ENS are accurate since these values are used by most of the TRMs consulted: › Low-flow showerheads › Pipe insulation › Smart power controllers 109 Database for Energy Efficiency Resources (DEER)...
AI summary The document discusses the adjustment of Energy Use Life (EUL) values for various energy efficiency measures based on literature reviews and reports, including updates for faucet aerators, hot water tank wraps, and LED lamps, referencing the Database for Energy Efficiency Resources (DEER) and other studies.
chusetts also uses a similar methodology and has set the equivalent EUL value at eight to nine years for LED bulbs, which takes into account baseline increases that will occur because of EISA 2020.115 The Canadian market may change less qu...
AI summary The document discusses the Equivalent Useful Life (EUL) of LED bulbs, comparing methodologies used in Massachusetts and Illinois, and considers the impact of Canadian regulations on baseline technology. It suggests using the equipment life of LED A19 lamps as the EUL and applies a triple baseline approach over 25 years to account for changes in regulations and technology.
to determine the lifetime energy savings. ∆ 1 ∆ 6 ∆ 18 ∆ The resulting equivalent EUL values for A19 LED lamps typically replacing 40 W, 60 W and 100 W incandescent lamps are respectively seven, nine and ten years. It should be noted that...
AI summary The document discusses the equivalent useful life (EUL) of A19 LED lamps and reflector lamps (GU10) based on energy efficiency standards. It notes that EUL for A19 LED lamps ranges from seven to ten years, depending on wattage, and highlights the impact of EISA 2020 on baseline efficiency levels. For reflector lamps, the EUL is capped at seven years due to the lack of intermediate technology between halogen and LED lamps.
gen and LED reflector lamps, it is recommended to cap the equivalent EUL of reflector lamps at seven years. Table 75: Baseline Evolution during the Effective Useful Life of LED Reflector Lamps Halogen Baseline CFL Equivalent Baseline – Ame...
AI summary The text discusses recommendations for capping the equivalent useful life (EUL) of LED reflector lamps at seven years. It also compares baseline wattage values for halogen and CFL lamps with efficient LED lamps, noting that for decorative lamps, CFL replacements are not widely available and baseline wattage values are close to efficient LED lamps.
s for Programs, Poster presented at the 2017 International Energy Program Evaluation Conference, Baltimore, MD. 125 As imposed by US federal legislation. Incandescent Equivalent 2nd Tier EISA 2007. Efficient Product Installation 139 Existi...
AI summary The document discusses the evaluation of an existing residential energy efficiency program in Nova Scotia, specifically focusing on the Efficient Product Installation (EPI) initiative. It references the Energy Independence and Security Act (EISA) 2020 and compares halogen and CFL baseline wattages for decorative lamps over different time periods.
33 7 0 E12 40 5 40 35 7 2 Chandelier Finally, LED nightlights and LED holiday lights are not affected by the Canadian or American legislation since they are not defined as general-service lamps (they generate less than 310 lumens). For LED...
AI summary The text discusses the exclusion of LED nightlights and holiday lights from certain energy efficiency legislation due to their lumens output. It also provides data on energy savings from EPI installations in 2017, including gross energy and peak demand savings, and explains the line loss factor used in calculations.
Table 77: Revised Gross Energy and Peak Demand Savings by Product Category for EPI Single-family Homes LED Lamps Category of Product 9W 9W 9W 9.5W 9.5W 9.5W Replacing Replacing Replacing Replacing Replacing Replacing 40W 60W 100W 40W 60W 1...
AI summary The table presents revised gross energy and peak demand savings by product category for EPI single-family homes, focusing on LED lamps replacing various wattage bulbs. It includes metrics such as total number of units, installation rates, unitary savings value, and total gross energy savings at the meter and generator.
Category of Product 11W 18W 18W 7W GU10 7W GU10 5W Replacing Replacing Replacing Replacing Replacing 7W G25 Chandelier 60W 75W 100W 35W 50W E12 Energy Savings Total Number of Units 12 191 1,596 1,806 11,410 4,041 28,298 Installation Rate (...
AI summary The text presents a detailed breakdown of energy savings data for various lighting products, including installation rates, energy savings values, and lifetime energy savings. It includes metrics such as energy savings in kWh, gross energy savings at the meter and generator, and peak demand savings. The data spans multiple product categories and highlights the impact of energy-efficient lighting solutions.
Energy Savings Total Number of Units 661 8,533 7,317 883 1,225 2,438 Installation Rate (%) 100% 97% 93% 89% 89% 89% Total Number of Units Installed 661 8,277 6,805 786 1,090 2,170 Unitary Savings Value (kWh) 43.6 28.5 98 236 354 472 Intera...
AI summary The text presents data on energy savings from various programs, including the number of units installed, installation rates, energy savings values, and peak demand savings. It includes metrics such as unitary savings value, interactive effects factor, and gross lifetime energy savings.
Revised Gross Energy and Peak Demand Savings by Product Category for EPI Single-family Homes (Continued) Hot Water Smart Power Total for Single- Category of Product Pipe Insulation Tank Wrap Controllers Family Homes Energy Savings Total Nu...
AI summary The document provides revised data on gross energy and peak demand savings by product category for EPI single-family homes, including details on installation rates, energy savings, and lifetime energy savings for various products such as pipe insulation, hot water tank wrap, and smart power controllers.
Category of Product 9W 9W 9W 9.5W 9.5W 9.5W Replacing Replacing Replacing Replacing Replacing Replacing 40W 60W 100W 40W 60W 100W Energy Savings Total Number of Units 397 23,390 1,052 68 438 4 Installation Rate (%) 98% 98% 98% 98% 98% 98%...
AI summary The text presents a detailed table of energy savings and peak demand reductions for various lighting products, including metrics like energy savings, installation rates, and lifetime energy savings. It reflects data on efficiency improvements and their impact across different wattage categories.
Revised Gross Energy and Peak Demand Savings by Product Category for EPI Apartments (Continued) Hot Water Smart Power Category of Product Pipe Insulation Total for Apartments Tank Wrap Controllers Energy Savings Total Number of Units 1,543...
AI summary The document provides revised data on gross energy and peak demand savings by product category for EPI apartments, including metrics such as energy savings, installation rates, and lifetime energy savings. It details the performance of various energy efficiency measures like pipe insulation, hot water tank wraps, and smart power controllers.
avings and using the following equation: Net Savings = Gross Savings × NTGR This equation was used to calculate both peak demand savings and energy savings. Efficient Product Installation 151 Existing Residential Program Efficiency Nova Sc...
AI summary The document calculates net energy and peak demand savings from the Efficient Product Installation (EPI) program in 2017, estimating 17.877 GWh in energy savings and 2.129 MW in peak demand savings. It also estimates annual CO2 emissions avoided due to these savings and provides the methodology used, including the application of Nova Scotia’s specific GHG emissions factor.
Category of Product 9W 9W 9.5W 9.5W 9.5W 9W Replacing Replacing Replacing Replacing Replacing Replacing 60W 40W 100W 40W 60W 100W Energy Savings Total Gross Energy Savings – at the Meter (GWh) 0.153 9.436 0.281 0.039 1.020 0.062 NTGR 0.87...
AI summary The text presents data on energy savings and peak demand savings for various categories of products, including metrics like gross and net energy savings, net-to-gross ratio (NTGR), line loss factor, effective useful life, and net lifetime energy savings. It also includes peak demand savings at the meter and generator levels.
Category of Product 11W 18W 18W 7W GU10 7W GU10 5W Replacing Replacing Replacing Replacing Replacing 7W G25 Chandelier 60W 75W 100W 35W 50W E12 Energy Savings Total Gross Energy Savings – at the Meter (GWh) 0.000 0.009 0.108 0.042 0.426 0....
AI summary The text presents a table of energy savings and peak demand savings for various lighting products, including metrics such as total gross and net energy savings, NTGR, line loss factor, effective useful life, and net lifetime energy savings. It also includes peak demand savings at both the meter and generator levels.
Evaluated Net Energy and Peak Demand Savings by Product Category for EPI (Continued) Low-flow Showerheads LED Holiday LED Faucet Category of Product 0.5 gpm 0.75 gpm 1.0 gpm Lights Nightlights Aerators Reduction Reduction Reduction Energy...
AI summary The document evaluates the energy and peak demand savings by product category for the Efficient Product Installation (EPI) program, focusing on low-flow showerheads, LED holiday lights, LED nightlights, and faucet aerators. It includes metrics such as gross and net energy savings, line loss factors, and net lifetime energy savings.
Evaluated Net Energy and Peak Demand Savings by Product Category for EPI (Continued) Hot Water Smart Power Total for All Category of Product Pipe Insulation Tank Wrap Controllers Products Energy Savings Total Gross Energy Savings – at the...
AI summary The document presents evaluated net energy and peak demand savings by product category for the Efficient Product Installation (EPI) program, including metrics such as gross and net energy savings, line loss factors, and net lifetime energy savings at the generator level.
NTGR Net Savings Savings Savings Energy Savings ENS Tracked Savings 21.257 GWh 20.460 GWh 0.88 18.082 GWh Evaluation Results 21.308 GWh 19.439 GWh 0.92 17.877 GWh Peak Demand Savings ENS Tracked Savings 3.487 MW 3.461 MW 0.87 3.012 MW Eval...
AI summary The document discusses energy and peak demand savings tracked by ENS and evaluated results, noting a 1% decrease in net energy savings and a 29% decrease in net peak demand savings. These differences are attributed to changes in installation rates and adjustments to savings calculations.
S7. Why do you give the report a rating of [INSERT RATING IN S6]? Reasons for Rating of Energy Action Report 2017 Sample Size 35 Didn’t provide new information/Already knew information 20% Informative/Covered a lot of information 17% Infor...
AI summary The report is being rated based on feedback from respondents, with the most common reasons being that it provided new information, was informative, and covered a lot of content. However, some respondents found the information not specific enough or difficult to understand.
g Methodology For solar projects, the Evaluator selected a sample of three sites to check for installation issues because the 2015 evaluation showed installation-related concerns with solar projects. In preparation for the on-site visits o...
AI summary The Evaluator selected a sample of solar projects based on installation issues identified in 2015 and prepared a sampling plan for heat pump and biomass projects using gross savings data. The sample size for each equipment category was calculated based on statistical proportions, with an additional focus on solar projects.
Efficiency Nova Scotia Final Report EXECUTIVE SUMMARY Econoler was commissioned by Efficiency Nova Scotia (ENS) to conduct a metering study of LED lamps’ usage patterns to improve the accuracy of the energy and peak demand savings calculat...
AI summary Efficiency Nova Scotia commissioned Econoler to study LED lamp usage patterns to improve the accuracy of energy and peak demand savings calculations for residential lighting measures. The study involved installing data collection devices in 75 households over three months, with data cleaning to ensure accuracy.
close attention to device installation and retrieval issues, corrupted data files and potential outliers. This process resulted in 434 of the 526 installed devices being kept for the result analysis. The UMP chapter on residential lighting...
AI summary The study analyzed 434 out of 526 installed devices, focusing on data quality and outliers. The UMP chapter recommended annualizing metering data to account for daylight hours, but sinusoidal modeling failed, leading to the use of a simple mean approach. The average daily HOU for LED lamps was found to be 2.48 hours.
ciency Nova Scotia Final Report Table 1: Results Summary for Daily HOU Relative Range of Possible Values Room Type Weight Average HOU Margin of for HOU Error Minimum Maximum Basement 12% 1.54 68% 0.49 2.59 Kitchen 12% 4.45 19% 3.62 5.27 Li...
AI summary The table presents a summary of daily HOU (Hours of Use) results by room type, including weighted averages, margins of error, and ranges of possible values. The weighted overall HOU is reported as 2.48 with a 9% margin of error, indicating variability in energy usage across different room types.
stalled indoors. As for lamps installed outdoors, which were not included in the sample, a value of 0.228 W/kWh can be applied, which has been estimated based on typical usage during winter nights. Project No. 6138 193 Residential Lighting...
AI summary This study focuses on estimating the average daily hours of use for residential LED lamps in Nova Scotia and their alignment with peak demand periods. It was conducted by Econoler for Efficiency Nova Scotia to improve the accuracy of energy and peak demand savings estimates in various programs.
s. The results of this study are expected to help improve the accuracy of energy and peak demand savings estimation in the EPI and Instant Savings program components, as well as for Codes & Standards. To carry out this assignment, Econoler...
AI summary This study aims to improve the accuracy of energy and peak demand savings estimation in the EPI and Instant Savings programs, as well as for Codes & Standards. Econoler and Equilibrium Engineering collaborated on the methodology, analysis, and data collection for the study, which follows the Residential Lighting Evaluation Protocol of the UMP.
Efficiency Nova Scotia Final Report The Uniform Methods Project Protocol for Residential Lighting Evaluation17 states that metering several weeks before and after an equinox is an appropriate method to obtain HOU representative of the annu...
AI summary The report discusses the metering schedule for a study conducted by Efficiency Nova Scotia, which was divided into three rounds over nearly a year. Due to the timing and the need to capture peak electricity demand, the study used an annualization method as recommended by the Uniform Methods Project Protocol.
instead, they were reviewed and compared with the participants’ estimated HOU values so as to identify data collection devices that might have malfunctioned, thereby recording the abnormal HOU values. For those cases showing extremely high...
AI summary The text describes the process of reviewing and comparing data collection devices' HOU values with participants' estimates to identify malfunctions. High HOU values were addressed by removing 13 lamps, while low HOU values were evaluated based on room type criteria, leading to the removal of 44 lamps from the study.
ential Light Metering Study. Retrieved from http://www.neep.org/sites/default/files/resources/1340978.pdf 20 NMR Group, Inc. (2014). Northeast Residential Lighting Hours-of-Use Study. Retrieved from http://www.neep.org/sites/default/files/...
AI summary The document references several studies and reports related to residential lighting efficiency, including a light metering study, a Northeast Residential Lighting Hours-of-Use Study, and an Efficiency Maine Retail Lighting Program Evaluation Report. These studies provide insights into energy usage patterns and efficiency savings from lighting measures.
eral changes were made to the room type classification so as to create more robust categories (i.e. larger samples), and help gain more in-depth insight about the LED lamp usage patterns by room type. The Evaluator combined the original “M...
AI summary The text discusses changes made to room type classifications in a study on LED lamp usage patterns. Categories such as 'Master Bedroom' and 'Other Bedroom' were consolidated into a single 'Bedroom' category to improve data accuracy and reduce margin of error. Similar consolidations were applied to 'Office', 'Garage', and 'Other' categories, creating a new 'Other' category with 50 lamps.
e sinusoidal model was performed only for the room types where lamp usage was suspected to be affected by daylight, namely all room types except basements and closet or storage areas. 3.1.1 Model As previously mentioned, the UMP recommends...
AI summary A sinusoidal model was applied to estimate lighting hours of use (HOU) for room types where daylight exposure affects lamp usage, excluding basements and storage areas. The model uses annualized data and fits a sinusoidal regression to represent daily HOU variations throughout the year, with the intercept corresponding to the average annual HOU.
Statistic Fit” above 1.64 above 1.64 272 0.069 2.609 0.341 90% -0.212 0.498 23% Both regression coefficients were analyzed to determine the validity of the model. In the case of the sine coefficient , the magnitude of the average error was...
AI summary The analysis of a sinusoidal model to predict HOU found that the model was not statistically significant due to low R2 values and insignificant sine coefficients. The Evaluator concluded that no correlation could be established between days of the year and HOU, leading to the use of a simple mean approach instead.
Efficiency Nova Scotia Final Report 3.3.1 Margin of Error Calculating margins of error is useful for establishing ranges in which the true values of the results are found. The detailed methodology for calculating the margins of error is pr...
AI summary The report discusses the margin of error in calculating hours of use (HOU) for residential lighting, noting high margins for specific room types but a lower overall margin of 10% due to weighted averages. It also compares the study's HOU results with those from other jurisdictions, finding them consistent with existing literature.
atios that were based on HOUdaily peak values that might not be representative because they were based on too few readings. Table below shows the results by room type for the remaining 257 loggers. Project No. 6138 213 Residential Lighting...
AI summary The report presents peak-demand-to-energy ratios (PDER) by room type based on data collected from 257 loggers. The weighted average PDER is 0.161, with the highest ratios found in basements and kitchens, and the lowest in bathrooms. The data highlights variability in energy usage patterns across different room types.
s installed on a total of 526 lamps recorded the relative duration of a single lamp’s use every fifteen minutes. After data cleaning, the data from 83 percent of these lamps were used in the analysis. To calculate the average HOU per day,...
AI summary The document describes a study analyzing the average hours of use (HOU) per day for lamps, using data from 526 lamps. After data cleaning, 83% of the lamps were used in the analysis. The average HOU was calculated as 2.48 hours/day, with a margin of error of ±0.24 hours/day. This value is comparable to a previously used value from a large study in the Northeast, and the study recommends continuing to use that value.
f outdoor lamps installed through EPI. The metering study conducted by the Evaluator did not include outdoor lamps, which usually have higher HOU values and would have increased the average HOU value. An analysis of the HOU values was spec...
AI summary The residential lighting metering study conducted by Efficiency Nova Scotia found that the previously used peak-demand-to-energy ratio for residential lighting was overestimated. The study recommends updated values for indoor and outdoor lamps based on actual HOU values measured during peak demand periods.
otia Final Report Figure 5: Site Visit Protocol – Data Collection Device Installation (2/3) Project No. 6138 218 Residential Lighting Metering Study Efficiency Nova Scotia Final Report Figure 6: Site Visit Protocol – Data Collection Device...
AI summary The document outlines the site visit protocols for data collection device installation and retrieval as part of the Residential Lighting Metering Study conducted by Efficiency Nova Scotia. It includes figures depicting the process for installing and retrieving devices, as well as socket count assessments.
Efficiency Nova Scotia Final Report Model Accuracy: Coefficient of Determination R2 R2 is the coefficient of determination and also provides insight into the model’s accuracy in predicting the HOU as a function of the daily number of dayli...
AI summary The document discusses the accuracy of a model used to predict HOU (Hours of Use) based on daylight hours, using the coefficient of determination R2. It also describes the calculation of relative margins of error for HOU measurements, following guidelines from the IPMVP, with a 90% confidence interval.
is set at 90% and the population size as infinite. The resulting margins of error are reported in Subsection 3.3. This calculation is useful to provide a range in which the true value of HOU is found. At first, it was necessary to use the...
AI summary The text describes a statistical method used to calculate margins of error for estimating HOU (Home Occupancy Unit) values, including the use of sample means, standard deviation, and t-values based on sample size. It also mentions the calculation of relative margin of error and its application across room types.
program after participating in it once, without participating in the program a second time. The proportion of incentivized products that are installed and operating. This rate is usually applied to programs through which rebates are offere...
AI summary The text defines several key metrics related to energy efficiency programs, including in-service rate, lifetime energy savings, line loss factor, margin of error, market effects, net energy savings, and net-to-gross ratio. These metrics are used to evaluate the effectiveness and impact of energy efficiency initiatives.
Errors arising during the course of all survey activities other than sampling. Non-sampling error Non-sampling errors tend to lead to bias in measurements and are very difficult to quantify. Peak coincidence The percentage of measure deman...
AI summary The text discusses various statistical and measurement concepts in energy efficiency programs, including non-sampling errors, peak coincidence, precision, sample size, secondary market impacts, tracked savings, and unitary savings. These concepts are relevant to the evaluation and measurement of energy savings in demand-side management initiatives.
ion Report Figure 1: Performance Overview of NHC (2011-20172) and Passive House (2017) Participation Net Savings 7.913 5.890 7.009 6.917 4.942 4.572 5.241 5.009 5.404 3.988 3.908 3.371 3.816 1,176 2.454 943 846 1.478 1.545 643 1.175 1.025...
AI summary The document presents a performance overview of New Home Construction (NHC) and Passive House programs from 2011 to 2017, showing participation numbers, net savings, energy savings, and peak demand savings. It highlights the market evaluation results of these programs over the period.
heating source. This is why the 2011 and 2012 numbers of participants reported in the 2013, 2014 and 2015 evaluation reports are different from those reported in the 2011 and 2012 evaluation reports. New Residential Program x New Residenti...
AI summary The 2017 impact evaluation for the New Residential Program assessed net energy and peak demand savings for new home construction and the Passive House pilot. Energy savings were calculated using to-code and as-built models, with EnerGuide ratings used for participants without to-code data.
o-code energy consumption value, the difference between the baseline average EnerGuide rating and the as-built EnerGuide rating, and an average savings value per EnerGuide point increase were applied. To calculate the Passive House pilot’s...
AI summary The document details the methodology used to calculate energy savings for the Passive House pilot and NHC programs. It outlines the use of baseline and as-built energy consumption values, the application of an overestimation ratio, and the calculation of net savings using the net-to-gross ratio (NTGR), which accounts for free-ridership and market effects.
rket effects levels established, the NTGRs for NHC and the Passive House pilot were established at 1.06 and 0.39 respectively, as shown in Table 2 below, and were used to determine the net savings. New Residential Program xi New Residentia...
AI summary The document presents net-to-gross ratios (NTGR) for the New Home Construction (NHC) and the Passive House pilot, which are 1.06 and 0.39 respectively. These ratios are used to calculate net energy and peak demand savings, with values of 3.351 GWh and 0.948 MW for NHC, and 0.020 GWh and 0.006 MW for the Passive House pilot.
d on October 20, 2015, and any funding beyond that date was provided only to participants registered before the aforementioned date. Since then, only electrically-heated households have been eligible. Once a new home is registered, an ener...
AI summary The document outlines the eligibility criteria for the New Home Construction (NHC) program, the use of energy analysis tools like HOT2000, and the role of energy advisors in evaluating house plans and ensuring compliance with energy efficiency standards. Changes to the incentive structure were implemented in 2017.
as shown in Figure 3 below. Nonetheless, the per-participant gross energy savings value has never been higher. Figure 2: Summary of Participation in NHC (2011-2017) and Passive House (2017)5 Participation Participation in NHC as a Percenta...
AI summary The text provides data on participation in the New Home Construction (NHC) and Passive House programs from 2011 to 2017, highlighting the number of participants and gross energy savings per participant. It also shows the percentage of NHC participants relative to housing completions in Nova Scotia.
lculations, overestimation ratio, and peak demand savings. The methodology for evaluating these elements is described in the following subsections. 4.1.1 Gross Energy Savings Calculation for NHC The final tracking system provided by ENS fo...
AI summary This section discusses the methodology for calculating gross energy savings for new home construction (NHC) in 2017. It outlines two methods used by ENS: the to-code and as-built model for most participants and an older method for those who registered before 2015. Only homes using electricity as the main heating source are eligible for NHC, and all savings are claimed as electrical.
with the following equation: To‐Code As‐Built Where EC corresponds to the total energy consumption of the house. Electrical heating systems must provide all or most of the home heating. When a non-electrical heating system is used as backu...
AI summary The document outlines two methods for calculating energy savings in home energy assessments. Method 1 uses a to-code and as-built comparison, while Method 2 uses savings per EnerGuide point for participants without a to-code value. The approach ensures conservative estimates and avoids double-counting fuel-switching savings.
sumption value. The savings calculation is here based on the following equation: As‐Built Baseline Where ER corresponds to the EnerGuide rating. The average baseline EnerGuide rating is established at 78. This value is based on Revision 20...
AI summary The document discusses the calculation of energy savings based on EnerGuide ratings, referencing the 2012 NBC and HOT2000 Version 10. It uses an average baseline EnerGuide rating of 78 and references the 2015 NHC Evaluation Report for the savings per EnerGuide point value of 1,521 kWh.
on the average savings per EnerGuide point of 2015 NHC participants for whom savings had been calculated using the modelled energy consumption values and whose final EnerGuide ratings were available. The number of participants using the En...
AI summary The text discusses energy savings calculations for NHC participants using the EnerGuide point method and the Passive House pilot. It highlights the use of a fixed savings value from 2015 and the calculation of gross energy savings using a linear regression analysis based on to-code energy consumption and house area.
in the NHC tracking sheet. Figure 6 illustrates the results of the linear regression analysis along with the linear equation used to estimate the baseline energy consumption versus the house area. New Home Construction 14 New Residential P...
AI summary The document presents a linear regression analysis of to-code energy consumption versus house area for new home construction, with a regression equation and R-squared value provided to illustrate the relationship between the two variables.
- 1,000 2,000 3,000 4,000 5,000 6,000 7,000 8,000 House Area (ft2) The linear regression analysis was established using 911 points (one point per participant). The resulting coefficient of determination (R2) of 0.8848 means that the regres...
AI summary A linear regression analysis with an R2 of 0.8848 was performed using 911 data points to calculate baseline energy consumption for Passive House pilot participants. Energy consumption per square footage was determined using PHPP or WUFI® software, with eligibility requiring a heating demand of 7.1 kBtu/ft²/yr or lower.
must be modelled under either software to determine whether the project is eligible for the Passive House pilot or not. To be eligible, projects must meet a heating demand of 7.1 kBtu/ft²/yr or lower. PHPP and WUFI® use the treated floor a...
AI summary The document outlines the eligibility criteria for the Passive House pilot program, emphasizing the use of specific tools like PHPP and WUFI® for energy modeling. It also describes the methodology developed by ENS for calculating energy savings and mentions the validation of simulation results by the Evaluator.
late energy savings generated by passive houses is considered appropriate. Therefore, the Evaluator used the same approach to calculate 2017 Passive House pilot savings. 4.1.3 Overestimation Ratio The overestimation ratio is used to adjust...
AI summary The document discusses the use of an overestimation ratio of 16% to adjust energy savings calculations from the HOT2000 software, based on a regression analysis comparing simulated and actual heating consumption data from HEA participants. This ratio is applied to both HEA and NHC houses due to similar energy savings patterns.
he savings achieved through NHC and the Passive House pilot also relate to measures affecting space heating consumption justifies applying the HEA overestimation ratio to the total energy consumption. It should be noted that the energy sav...
AI summary The document discusses energy savings calculations for New Home Construction (NHC) and the Passive House pilot, noting the use of the Home Energy Assessment (HEA) overestimation ratio. It highlights the transition to a new version of HOT2000 for more accurate energy savings calculations and the recommendation to conduct billing analyses with NHC participants.
egression analysis. 4.1.4 Interactive Effects No additional interactive effects are considered in the NHC savings calculation since they were already taken into account in the HOT2000 simulations. For the Passive House pilot, the interacti...
AI summary The document discusses the calculation of energy savings, including interactive effects, peak demand savings, and effective useful life (EUL) values. It references the use of simulation models, the on-peak demand-to-energy ratio from the 2016-2018 DSM Plan, and the review of EUL values based on literature and technical reference manuals.
ENS Tracked Revised Equivalent Measure Reference EUL EUL Weighted average EUL of insulation, New Home Construction 34.9 30.0 heating system and lighting measures Weighted average EUL of insulation, Passive House Pilot 34.9 36.0 heating sys...
AI summary The document discusses the calculation of Effective Useful Life (EUL) for new home construction measures, noting that ENS uses a simple average of EUL for insulation, efficient lighting, and heating systems, whereas the Evaluator suggests that these measures should be weighted differently based on their contribution to savings, though exact weights are not available.
ings among total savings. Therefore, of all the Passive House pilot projects, insulation, efficient heating systems and efficient lighting were respectively assigned a weight of 70, 15 and 15 percent. In addition to using a weighted averag...
AI summary The document discusses the assignment of weights to insulation, heating systems, and lighting in Passive House pilot projects, as well as the revision of Effective Useful Life (EUL) values based on a literature review for measures in New Home Construction and Passive House projects.
ad installed heat pumps. Thus, the tracked value of 18.0 years was considered adequate for the heating system measures since it is the value used by most jurisdictions who all refer to the GDS Report. For efficient lighting, ENS currently...
AI summary The document discusses the effective useful life (EUL) of heating systems and LED lighting, referencing the GDS Report and practices in Illinois where LED savings are adjusted over time due to technological advancements and regulatory changes.
2017 DSM Evaluation Report Table 8: Baseline Evolution During the Effective Useful Life of LED Lamps Halogen Incandescent Baseline – CFL Equivalent Baseline – Canadian Legislation18,19 American Legislation20 Typical 7 Years (2017-2023) 18...
AI summary The 2017 DSM Evaluation Report discusses the baseline evolution of LED lamps over their effective useful life, comparing halogen incandescent and CFL equivalents. It calculates an equivalent EUL value of 13.0 years and revised equivalent EUL values of 30.0 and 36.0 years for NHC and Passive House pilot projects, respectively.
ojects and at 36.0 years for Passive House pilot projects. 4.1.7 Revised Gross Savings The annual gross savings for NHC and the Passive House pilot are presented in Table 9 and Table 10 below. The gross savings at the generator were calcul...
AI summary The document discusses the calculation of annual and lifetime energy savings for New Home Construction (NHC) and Passive House pilot projects, using line loss factors and effective useful life (EUL) values. It also references regulations related to energy efficiency for lighting products.
ergy EnerGuide Total Savings Point Savings Number of Participants 414 6 420 Energy Savings Total Number of Delta EnerGuide Points - 42 - Unitary Energy Savings (kWh) - 1,521 - Initial Gross Energy Savings (GWh) 3.364 0.064 3.428 Overestima...
AI summary The text presents energy savings data from a program involving 414 participants, showing total gross energy savings at the generator level of 94.849 GWh over an effective useful life of 30 years. It also includes peak demand savings of 0.895 MW and details related to line loss factors and energy efficiency metrics.
as exemplified in the following equation: Net Savings = Revised Gross Savings × NTGR This equation was used to calculate both peak demand savings and energy savings. The net energy and peak demand savings were respectively established at 3...
AI summary The text presents calculations of net energy and peak demand savings for NHC and the Passive House pilot, using a formula involving the Net Total Generation Ratio (NTGR). Net lifetime energy savings and associated annual CO2 emissions avoided are also provided, using a Nova Scotia-specific GHG emissions factor.
DSM Evaluation Report Table 15: Overall Participation and Savings for New Residential Participation Level Gross Savings NTGR Net Savings NHC Energy Savings 3.162 GWh 1.06 3.351 GWh Lifetime Energy Savings 420 participants 94.849 GWh 1.06 1...
AI summary The document presents a DSM Evaluation Report focusing on the participation levels and savings achieved by the New Residential Program under Efficiency Nova Scotia. It details energy and peak demand savings for the NHC and Passive House Pilot programs, along with lifetime energy savings and NTGR metrics.
DEFINITIONS Accuracy Reflects the proximity of measurements to the true value. The ratio of evaluated results to tracked results. This ratio expresses the Adjustment ratio adjustment made to tracked savings or other tracked values such as...
AI summary The text defines key terms used in energy efficiency and measurement, including accuracy, adjustment ratio, base case, bias, billing calibration, confidence interval, displaced wattage, and EnerGuide rating. These definitions are relevant to assessing energy savings and performance.
stributors across the province of Nova Scotia. 1 Throughout this report, energy savings always refer to first-year energy savings rather than lifetime energy savings, unless specified otherwise. Efficient Product Rebates Program xi Efficie...
AI summary The Efficient Product Rebates Program (BER) under Efficiency Nova Scotia achieved significant energy savings in 2017, exceeding its targets with 46.583 GWh in net electricity savings and 7.286 MW in net peak demand savings. These savings avoided 30,423 tonnes of CO2 eq in greenhouse gas emissions.
epresent 30,423 tonnes of CO2 eq in avoided greenhouse gas (GHG) emissions. The net lifetime energy savings are 547.135 GWh based on a weighted average effective useful life (EUL) value of 11.7 years. Figure 1 below provides an overview of...
AI summary The Business Energy Rebates (BER) program achieved significant energy and peak demand savings from 2011 to 2017, with the highest savings recorded in 2017 due to increased participation in Instant Rebates and higher average unitary savings. The program avoided 30,423 tonnes of CO2 eq in GHG emissions and saved 547.135 GWh of energy over its lifetime.
s available. With this information, the Evaluator came to the conclusion that LEDs continue to be in a growth phase, but are approaching maturity as the BNI sector increasingly adopts these products. BER Recommendations Overall, the Evalua...
AI summary The Evaluator concludes that the Business Energy Rebates (BER) program generated significant savings, with stable participation in BER Mail-in and increased sales and savings in BER Instant Rebates. Recommendations are provided to optimize the program.
Table 6: Implementation Status of Recommendations in the 2016 Executive Summary 2016 Recommendations Status 2016 BER-R1. Continue improving the BER Mail-in internal review procedure for savings Implemented calculations 2016 BER-R2. Impleme...
AI summary The 2016 BER recommendations have been fully implemented, including updates to the ENS CIRx Screening Tool, revisions to the methodology for calculating interactive effects, and the establishment of new procedures for baseline wattages in new construction projects and Instant Rebates.
213 40 100 175 50 106 20 0 0 2011 2012 2013 2014 2015 2016 2017 Number of Participants Gross Savings per Participant (MWh) Figure 3 below illustrates the distribution of gross savings among the product types for BER Mail-in. With 62 percen...
AI summary Figure 3 shows the distribution of gross energy savings by product type for the BER Mail-in program, with lighting and HVAC products contributing the majority of savings. This trend has been consistent in previous years, with lighting accounting for significant portions of savings in 2015 and 2016.
215,121 100,000 0 2011 2012 2013 2014 2015 2016 2017 Figure 5 below provides an overview of the distribution of gross savings in BER Instant Rebates among the different pumps and lighting products. In 2017, LED downlight lamps generated th...
AI summary Figure 5 shows the distribution of gross savings from BER Instant Rebates by product type in 2017, with LED downlight lamps contributing the largest share at 44%. Figure 6 highlights that BER generated 60.465 GWh in gross energy savings, with BER Instant Rebates accounting for 70% of the total.
oss energy savings at the generator, which is the highest result since inception. BER Mail-in accounted for 30 percent of the savings, while BER Instant Rebates accounted for the remaining 70 percent. The increase in overall savings is mos...
AI summary The Business Energy Rebates (BER) program achieved significant energy savings in 2017, with LED lamps and fixtures contributing greatly. BER Instant Rebates saw a 31% increase in savings since 2016, while peak demand savings rose by 4%. Lighting measures accounted for 61% of savings in BER Mail-in.
tion Report Figure 6: Summary of Gross Savings for BER 2011-20175 Gross Energy Savings (GWh) Gross Peak Demand Savings (MW) 10.756 42.119 32.103 37.287 18.120 5.902 6.432 4.775 19.209 4.545 3.734 17.808 2.708 10.513 26.522 3.550 3.014 2.86...
AI summary The document outlines the methodology for evaluating the Business Energy Rebates (BER) program in 2017, highlighting data collection activities used in the evaluation process. It includes a summary of gross energy and peak demand savings from 2011 to 2017, categorized under Mail-in Rebates and Instant Rebates.
647 Multi-family Tracked 2,208 213 Adjusted 2,280 228 The most common adjustment made to the HVAC category was revising the heating capacity value at - 15 °C to estimate peak demand savings. In the tracking sheet, three measures were ident...
AI summary Adjustments were made to HVAC measures, particularly heat pumps, to correct heating capacity values and improve accuracy in peak demand savings calculations. These changes included aligning with NEEP specifications and correcting unit conversion factors for better performance evaluation.
it was found that the load connected to the economizer was three times higher. Also, the HOU was doubled for another measure, which led to a 15 percent increase in the energy savings of this project. For one other project, refrigerated str...
AI summary The text discusses energy efficiency projects, including adjustments to variables like interactive effects factors and quantities. It mentions refrigerated strip curtains and motor and variable frequency drive measures, referencing the Pennsylvania Public Utility Commission's Technical Reference Manual for calculation methodologies. Adjustments were made to energy and peak demand savings for reviewed projects.
uation report specifically addressed the issue of confusing exhaust and return fans and recommended that ENS further validate applications for these measures to reduce the number of large adjustments. The motor and drive category required...
AI summary The evaluation report highlights issues with exhaust and return fan applications, suggesting ENS validate them to reduce adjustments. Motor and drive revisions showed inconsistent energy savings, prompting recommendations for short-term metering. A compressed air project adjustment increased energy savings due to extended operating hours, impacting the PCF.
uantity of cows listed because the participant declared the maximum capacity of the barn and not the current average number of cows milked per day. This led to a 30 percent decrease in energy savings. The second adjustment was to the PCF u...
AI summary Adjustments were made to energy savings calculations for a barn project and commercial kitchen measures due to inaccuracies in data inputs. These adjustments significantly impacted overall category savings, with the barn project accounting for 98% of the category’s total savings. The Evaluator recommended providing specific tools for future accuracy.
iewed based on the findings of a literature review. When establishing the EUL of a given measure, the Evaluator considered the most common values found in TRMs, evaluation reports or relevant studies. For BER, ENS tracked a single EUL valu...
AI summary The document discusses the Effective Useful Life (EUL) values for various energy efficiency measures, comparing the EUL values tracked by ENS with revised equivalent EUL values. The revised values are based on average EULs weighted by revised gross savings, but were not used in calculations.
Kitchen Water Heating Pumping Laundry Solar Categories Energy Savings Tracked Gross Energy Savings (GWh) 0.143 0.038 0.019 0.005 0.013 18.121 Adjustment Ratio on Energy Savings 0.989 1.000 1.000 1.000 1.000 - Gross Energy Savings – at the...
AI summary The text presents a table with energy and peak demand savings data for various categories including Kitchen, Water Heating, Pumping, Laundry, and Solar. It includes metrics such as tracked gross energy savings, adjustment ratios, line loss factors, and effective useful life, providing a detailed overview of energy efficiency program performance.
Kitchen Water Heating Pumping Laundry Solar Categories Energy Savings Revised Gross Energy Savings – at the Meter (GWh) 0.141 0.038 0.019 0.005 0.013 17.211 NTGR 0.86 0.86 0.86 0.86 0.86 - Net Energy Savings – at the Meter (GWh) 0.122 0.03...
AI summary The text presents a table showing energy and peak demand savings across various categories, including kitchen, water heating, pumping, laundry, and solar. It includes metrics like Revised Gross Energy Savings, Net Energy Savings, Line Loss Factor, Effective Useful Life, and Net Lifetime Energy Savings, as well as Peak Demand Savings, with values in GWh and MW.
1.066 1.066 1.066 1.066 - Net Peak Demand Savings – at the Generator (MW) 0.020 0.009 0.004 0.001 0.000 2.462 Business Energy Rebates 34 Efficient Product Rebates Program Efficiency Nova Scotia 2017 DSM Evaluation Report Table 12 compares...
AI summary This table compares energy and peak demand savings from the BER Mail-in program as tracked by Efficiency Nova Scotia and as evaluated in the 2017 DSM Evaluation Report. The evaluation results show slightly lower adjusted gross savings and net savings compared to the tracked figures.
on Report 5 IMPACT EVALUATION FOR BER INSTANT REBATES The objective of the 2017 BER Instant Rebates impact evaluation is to determine gross and net electrical energy and peak demand savings. 5.1 Gross Savings Gross savings refer to changes...
AI summary This section evaluates the impact of the 2017 BER Instant Rebates, focusing on gross and net energy and peak demand savings. It discusses the methodology used to calculate savings, including baseline wattage, actual wattage, and factors like PCF and ISR, and notes that a full literature review was not conducted in 2017.
ps. Table 14 below lists the variables recommended in the 2016 evaluation report for the savings calculations in this category. Table 14: Recommended Values for Linear LED Lamps Subcategory Baseline Wattage (W) HOU 4-foot Replacement Lamps...
AI summary The document discusses the revision of efficient wattage values for linear LED lamps based on discrepancies found between tracked wattages and DLC listings. This adjustment impacts a large number of data entries and lamps.
20.5 20.5 LED15ET8 15, 18 18 LED12ET8 12, 15 15 Hours of Use In 2017 the value of 4,410 hours per year was adopted for all lighting products except outdoor fixtures and occupancy sensors. This value was correctly applied to over 95 percent...
AI summary The text discusses the correction of hours of use for LED lighting products in 2017, leading to an overall adjustment ratio for energy and peak demand savings. It also outlines the recommended baseline wattage for general-use and decorative LED lamps based on federal energy efficiency regulations.
from 40 W to 60 W. The baseline wattage values were correctly applied for all omnidirectional type lamps. 15 Natural Resources Canada. General Service Lamps and Modified Spectrum Incandescent Lamps http://www.nrcan.gc.ca/energy/regulations...
AI summary The document discusses the evaluation of efficient product rebate programs, specifically focusing on the accuracy of wattage and hours of use for various lamp types. It notes that no adjustments were needed for the most frequently purchased products, and only minor revisions were required for reflector LED lamps.
lations for this product category. Therefore, the adjustment ratios were 1.000 for both energy savings and peak demand savings. Directional and Architectural LED Fixtures Recommended Savings The directional and architectural LED fixtures c...
AI summary The document discusses energy savings and peak demand savings adjustments for directional and architectural LED fixtures, noting an overall adjustment ratio of 1.037 for energy savings and 1.000 for peak demand savings. It also mentions the use of occupancy sensors and the evaluation of baseline wattage and hours of use.
in the near future. 22 As imposed by U.S. federal legislation. Incandescent Equivalent 2nd Tier EISA 2007. 23 As imposed by U.S. federal legislation. Incandescent Equivalent 2nd Tier EISA 2007. Business Energy Rebates 51 Efficient Product...
AI summary The document discusses the Efficient Product Rebates Program under Efficiency Nova Scotia, focusing on the use of EUL values for occupancy sensors and pumps. It confirms the use of 10 years for occupancy sensors and 15 years for pumps, aligning with industry standards and literature. The revised gross savings calculation includes unitary savings values, ISRs, and line loss factors.
.066 1.066 Total Gross Energy Savings – at the Generator (GWh) 5.158 5.327 2.535 3.261 18.542 4.642 Effective Useful Life (years) 11.3 11.3 5.7 5.7 8.4 15.7 Gross Lifetime Energy Savings – at the Generator (GWh) 58.288 60.195 14.451 18.586...
AI summary The text presents a table of energy savings metrics, including gross energy savings, effective useful life, peak demand savings, and various adjustment factors. These metrics are used to evaluate the performance and impact of energy efficiency programs and initiatives.
ixtures Lamps Decorative Lamps Fixtures Lamps Fixtures Energy Savings Revised Gross Energy Savings – at the Meter (GWh) 4.839 4.997 2.378 3.059 17.395 4.354 NTGR 0.68 0.62 0.62 1.00 0.64 1.00 Net Energy Savings – at the Meter (GWh) 3.291 3...
AI summary The text presents tables with energy savings and peak demand savings metrics across various categories, including lamps and fixtures. It includes figures for revised gross energy savings, net energy savings, line loss factors, and effective useful life for different products. It also provides data on peak demand savings at the meter and generator levels.
ry Pumps Architectural Fixtures Sensors Products Energy Savings Revised Gross Energy Savings – at the Meter (GWh) 0.128 2.031 0.331 39.512 NTGR 1.00 1.00 1.00 - Net Energy Savings – at the Meter (GWh) 0.128 2.031 0.331 28.899 Line Loss Fac...
AI summary The text provides data on energy savings and peak demand savings across various categories, including revised gross energy savings, net energy savings, line loss factors, and net lifetime energy savings, measured in gigawatt-hours and megawatts. It also includes the effective useful life of energy-saving measures in years.
∆ 4.7 7 Natural Resources Canada. “Forward Regulatory Plan 2017-19”. Online: http://www.nrcan.gc.ca/energy/regulations-codes- standards/18318, (last modified July 25, 2017). Project No. 6138 83 Efficient Product Rebates Program Efficiency...
AI summary The document discusses the baseline evolution of LED A-type lamps and reflector lamps, noting that their average rated life is 25,000 hours, translating to an EUL of 5.7 years. The baseline for these lighting products remains constant throughout their EUL.
Table 6: Revised Equivalent Effective Useful Life Values by Measure Category Revised EUL Measure Category Measure Reference (years) Agriculture heat pads 10 IESO PMA, 201512 Dairy scroll compressors 15 PA Consulting Group, 200913 Energy ef...
AI summary The table presents revised Equivalent Effective Useful Life (EUL) values for various energy efficiency measures in the agriculture sector, referencing multiple studies and organizations such as IESO PMA, PA Consulting Group, and DEER.
Revised EUL Measure Category Measure Reference (years) DEER, 2008, 2011, 2014 Ice machines 10 PA Consulting Group, 2009 DEER, 2008, 2011 Ovens 12 ENERGY STAR Calculator PG&E, 2007 DEER, 2008, 2011 Steam cookers 12 ENERGY STAR Calculator Co...
AI summary The document presents revised Estimated Useful Life (EUL) measures for various commercial equipment, including ice machines, ovens, steam cookers, commercial clothes dryers, washing machines, and brushless DC motors, with references to multiple studies and resources such as DEER, ENERGY STAR, and PA Consulting Group.
15 Vermont TRM, 2015 Vertical refrigeration open to closed DEER, 2008 12 cooler conversions Zero energy doors 12 DEER 2008 Solar Solar water heaters 20 ENERGY STAR 24 Electric to natural gas water heating 15 DEER, 2014 Water Heating Heat p...
AI summary The document references various energy efficiency measures and their associated savings algorithms, cost assumptions, and rebates. It includes data from studies and reports on technologies such as solar water heaters and heat pump water heaters, as well as references to efficiency programs like the Efficient Product Rebates and Efficiency Nova Scotia's 2017 DSM Evaluation Report.
Table 7: Tracked Variables for Example Calculation Baseline Measure – 295 W High Pressure Sodium Lamp Parameter Value Source Existing Lamp Quantity 33 Tracking Report Decommissioned Lamp Wattage (W) 295 Tracking Report Hours of Use per Wee...
AI summary The text presents a table detailing the calculation of energy consumption for baseline and new measures involving high-pressure sodium lamps. It includes parameters such as lamp quantity, wattage, hours of use, and energy consumption, with values derived from tracking reports and calculations based on annual usage.
DEFINITIONS Accuracy Reflects the proximity of measurements to the true value. The ratio of evaluated results to tracked results. This ratio expresses the Adjustment ratio adjustment made to tracked savings or other tracked values such as...
AI summary The text defines key terms related to energy efficiency and measurement, including accuracy, base case, bias, billing calibration, confidence interval, displaced wattage, and EnerGuide rating, which is a standard measure of a home's energy performance.
standard measure of the home's energy performance. It is a measure of the efficiency of the building only and does not take into account occupant EnerGuide rating behaviour. It shows how energy efficient the home is through modelled heat l...
AI summary The text defines several key terms related to energy efficiency and performance metrics. It explains the EnerGuide rating, effective useful life, equipment life, equivalent CO2, and equivalent effective useful life, emphasizing their roles in assessing energy efficiency and environmental impact.
ted in the final project savings. All the projects reviewed were included in the adjustment ratio calculation, which yielded a value of 0.995 for energy savings, with a margin of error of 1.2 percent. The peak demand savings required more...
AI summary The document discusses adjustments made to energy and peak demand savings calculations, highlighting issues with documentation and measurement procedures. An adjustment ratio of 0.995 was calculated for energy savings, while peak demand savings required more adjustments due to missing data and reliance on assumptions. Four projects lacked proper M&V documentation, affecting 19.4% of energy and 15.9% of peak demand savings.
represent 9,415 tonnes of CO2 eq of avoided greenhouse gas emissions annually. Based on an average EUL of 13.6 years, the net lifetime energy savings were established at 196.090 GWh. New Construction In 2017, six projects were completed th...
AI summary The New Construction service completed six projects in 2017, with five reviewed for energy efficiency. Discrepancies in modeling and errors in calculations led to adjustments, reducing energy savings by 30% and increasing peak demand savings by 3.41 times. These projects avoided 3,756 tonnes of CO2 eq annually, with a net lifetime energy savings of 113.288 GWh.
2017-Custom-R2. Continue conducting an in-depth review of energy models as part of the evaluation and improve ENS staff’s capacity to identify discrepancies in energy models. The more in-depth review of energy models conducted during the 2...
AI summary The 2017 evaluation found discrepancies in energy models across five projects, leading to significant downward adjustments in savings. Issues were particularly notable in heat pump system modeling and baseline calculations. The Evaluator recommends a systematic review of energy models and improved staff training. Additionally, Building Optimization projects varied widely in scope, and the Evaluator suggests establishing clear objectives to better align support with participants' needs.
based on a program component documentation review, interviews with the program manager and a review of four projects (including phone interviews with participants). EMIS Key Findings EMIS Performance EMIS aimed to achieve 4.0 GWh in net en...
AI summary The EMIS program aimed for 4.0 GWh in net energy savings and 0.1 MW in net peak demand savings in 2017 but achieved 1.402 GWh and 0.255 MW, respectively. The program also avoided 916 tonnes of CO2 eq annually. Four participants consistently reported savings from 2015 to 2017, while three additional projects were in various stages of implementation.
and in previous years. Instead, the Evaluator made an effort to ensure that the selected projects represented a variety of measure categories and to sample a higher proportion of the largest projects. The project sample included projects f...
AI summary The Evaluator selected a diverse sample of 46 completed projects across various measure categories (excluding renewables) to ensure representation and accurate adjustment ratios. Gross savings are tracked by ENS for each project, and this section summarizes adjustments made to specific projects.
20 Custom – Other 10 Water Heating 15 Currently, these EUL values are not shown for each project in the Custom tracking sheet. For each project reviewed, the Evaluator assigned the corresponding EUL value based on the measure category iden...
AI summary The Evaluator assigned Equivalent Useful Lifetime (EUL) values to energy efficiency measures based on technical references and project baselines. A dual-baseline scenario, where baseline efficiency increases over time, was not found in the 26 sampled Retrofit projects, though it may occur in future projects.
uation: ∑ ∑ Where Evaluated ES are evaluated energy savings and i represents each project included in the sample. This calculation yielded an average adjustment ratio of 1.057, which, despite being close to unity, has a large margin of err...
AI summary The evaluation found that the average adjustment ratio had a large margin of error and therefore was not applied. Instead, a weighted average of evaluated EUL values was used. The Evaluator recommends that ENS select EUL values specific to each project. A true-up adjustment ratio was calculated for projects completed in 2017 to ensure accuracy in savings calculations.
Efficiency Nova Scotia 2017 DSM Evaluation Report For 2017, Retrofit generated 14.418 GWh in net energy savings and 1.045 MW in net peak demand savings at the generator. The results obtained are listed in Table 12 below. Overall, using the...
AI summary The 2017 DSM Evaluation Report by Efficiency Nova Scotia shows that Retrofit generated 14.418 GWh in net energy savings and 1.045 MW in net peak demand savings. Using a Nova Scotia-specific factor, these savings are estimated to avoid 9,415 tonnes of CO2 eq annually, with a total lifetime energy savings of 196.090 GWh over 13.6 years.
year Completed Projects in 2017 Energy Savings Revised Gross Energy Savings – at the Meter (GWh) 7.057 7.412 0.509 14.978 NTGR 0.91 0.91 0.91 - Net Energy Savings – at the Meter (GWh) 6.422 6.745 0.463 13.630 True-up Adjustment for Net Ene...
AI summary The text provides a summary of energy savings metrics for projects completed in 2017, including revised gross energy savings, net energy savings, true-up adjustments, and net lifetime energy savings at both the meter and generator levels.
13.6 13.6 13.6 - Net Lifetime Energy Savings – at the Generator (GWh) 92.282 97.046 6.762 196.090 Revised Gross Peak Demand Savings – at the Meter (MW) 0.563 0.483 0.037 1.083 NTGR 0.91 0.91 0.91 - Net Peak Demand Savings – at the Meter (M...
AI summary The text presents data on energy savings and demand reductions related to a generator and meter, including net lifetime energy savings and net peak demand savings. It references Nova Scotia Power's 2016 emissions data and electricity generation figures from external sources.
ented as planned. However, all five projects saw their savings adjusted because errors were found in the energy models or in the subsequent savings calculations performed with the model output values. The two projects where savings had the...
AI summary Five projects had their energy savings adjusted due to errors in energy models and subsequent calculations. The largest adjustments were made because the base case electricity consumption was miscalculated by not accounting for heating system efficiency. Adjustments were made by converting natural gas consumption to equivalent electricity consumption, but some conversions overestimated savings.
e heating load of some zones in the building was not met; this also had a downward impact on the evaluated savings. Those two projects’ energy savings were decreased by 38 and 43 percent respectively. The remaining three projects saw their...
AI summary The energy savings of several projects were reduced due to incorrect modelling of heating loads and heat pump systems. Two projects saw savings decrease by 38% and 43%, while three others had a 23% reduction due to improper COP values and system modelling in an ice skating rink project.
°C (corresponding to the actual temperature of the lobster tank water) to establish a more representative COP. Along with other minor adjustments, this resulted in a downward adjustment of 29 percent. The last project for which heat pump m...
AI summary The text discusses adjustments made to heat pump models in a multi-unit residential building, leading to a 25% reduction in estimated energy savings. The adjustments were made to better represent the actual performance of the systems, including the use of monitoring data to obtain a yearly COP for modeling purposes.
tion of both the proposed and reference buildings, the interactive effects are already included. No further interactive effects factor has thus been applied to savings. 6.1.3 Effective Useful Life As part of the 2017 evaluation, the Evalua...
AI summary The document discusses the evaluation of energy savings from New Construction projects, focusing on the Effective Useful Life (EUL) of measures. The EUL values were revised based on a literature review and specific projects reviewed in 2017, with an average tracked EUL of 19.3 years for all projects generating savings that year.
on Report Table 13: Revised EUL Values for Common New Construction Measures Measure Revised EUL (years) Reference Household appliances 12 DEER 200813 Heat pumps 18 GDS, 200714 Insulation 25 GDS, 2007 Windows 20 DEER 2008 Motors and variabl...
AI summary The document provides revised Effective Useful Life (EUL) values for various energy efficiency measures in new construction, along with gross energy and demand savings for 2017 New Construction. Adjustments were made to account for one-time savings changes in reviewed projects.
Number of Projects 1 5 1 7 Energy Savings Tracked Gross Energy Savings – at Meter (GWh) 2.375 4.405 0.261 7.041 Adjustment Ratio for Energy Savings 1.000 0.758 0.571 - Gross Energy Savings – at Meter (GWh) 2.375 3.339 0.149 5.862 True-up A...
AI summary The text provides a detailed table of energy and demand savings metrics across multiple projects, including tracked energy savings, adjustment ratios, gross energy savings at different points, and peak demand savings. It includes metrics such as effective useful life and line loss factors, reflecting energy efficiency program performance.
to be 1.00, net savings are equal to the gross savings presented in Table 14. For 2017, New Construction generated 5.751 GWh in net energy savings and 2.520 MW in net demand savings at the generator. Overall, using the Nova Scotia-specific...
AI summary The text discusses energy savings from New Construction in 2017, calculating net energy and demand savings, and translating these into avoided CO2 emissions using a Nova Scotia-specific factor. It also mentions the Building Optimization Market Evaluation and participant feedback collected during on-site visits.
n the project engineering calculations used to establish their initial gross savings. No other adjustment was made to the gross savings of these four projects reviewed. Effective Useful Life As part of the 2017 evaluation, the Evaluator re...
AI summary The evaluation of the Custom Incentives Program under Efficiency Nova Scotia in 2017 reviewed the Effective Useful Life (EUL) values assigned to energy efficiency measures, particularly the HVAC category, which was assigned a 20-year EUL. This value was considered too high for the type of measures covered by Building Optimization projects.
ed and Total Savings Completed in 2017 Number of Projects 1 6 7 Energy Savings Tracked Gross Energy Savings – at the Meter (GWh) 0.176 0.722 0.898 Adjustment Ratio for Energy Savings 1.000 0.845 - Gross Energy Savings – at the Meter (GWh)...
AI summary The text presents data on energy and peak demand savings from completed projects in 2017, including gross energy savings at the meter and generator, adjustment ratios, and effective useful life. It references a study by Roberts and Tso on the longevity of retrocommissioning savings.
te savings as of December 2017. Therefore, only four participants generated savings in 2017, and they were the same four participants that had generated savings in 2015 and 2016, as shown in Figure 8. The distribution of gross energy savin...
AI summary The text discusses energy savings from EMIS participation between 2015 and 2017, noting that only four participants generated savings in 2017. It explains that incremental savings decreased over time due to the maintenance and optimization of initial measures, while peak demand savings increased in 2017 due to improved data and calculation methods.
pants Effective Useful Life n=4 Analysis Report The Evaluator first reviewed the EMIS program component documentation and then held a meeting with the program manager in August 2017 to verify the implementation status of the previous evalu...
AI summary The Evaluator reviewed EMIS program documentation, met with the program manager, and conducted phone interviews with participants to assess changes and savings persistence. This contributed to the development of data-collection instruments and the evaluation of program effectiveness.
Baseline Referring to the systems, time period, energy use, or conditions that provide a reference to which later performance of an energy conservation measure can be compared. Baseline Period Defined period of time chosen to represent the...
AI summary The text defines key terms related to energy efficiency and performance measurement, including baseline, baseline period, baseline regression, cumulative savings, incremental baseline, incremental savings, independent variable, and reporting period. These definitions are sourced from the International Performance Measurement and Verification Protocol.
mentation of an energy conservation measure. The definitions marked with an asterisk are taken from the International Performance Measurement and Verification Protocol.21 13.2 Gross Savings This section describes the methodology used to re...
AI summary This section outlines the methodology used to review four EMIS projects that generated energy savings in 2017, focusing on gross savings and interactive effects, as part of the 2017 DSM Evaluation Report by Efficiency Nova Scotia.
ant, the Evaluator had recommended adjusting the baseline in 2016; however, not enough information was available to allow for accurately performing the calculations at the time of the 2016 evaluation.
AI summary The Evaluator suggested adjusting the baseline in 2016, but insufficient information was available to perform accurate calculations at that time.
This year, ENS and the service provider did not adjust the cumulative baseline for Measure 3.1 and did not provide the Evaluator with compressor baseline data for the Custom Retrofit projects. Without such data, the Evaluator made a non-ro...
AI summary ENS and the service provider did not adjust the cumulative baseline for Measure 3.1 or provide compressor baseline data for Custom Retrofit projects. The Evaluator made a non-routine adjustment due to missing data, but this may have affected precision. Adjustments were not made for some Retrofit projects due to unspecified implementation periods and fluctuation in data.
avings values for the other three projects. Overall, the tracked savings calculated by the service provider were accurately documented and reflected the normal operation of the other three facilities. As for cumulative peak demand savings,...
AI summary The document discusses the evaluation of energy management projects, focusing on the accuracy of tracked savings and adjustments made to peak demand savings. Adjustments were made based on data analysis and historical comparisons, resulting in calculated peak demand savings values for specific projects.
valuator calculated the incremental savings by using the 2016 data as the baseline instead of the 2014 data used for cumulative savings. This adjustment resulted in an energy adjustment ratio of 0.89. The second adjustment made to incremen...
AI summary The valuator adjusted the baseline data used to calculate incremental energy savings, leading to a significant decrease in the energy adjustment ratio. The incorrect baseline for cumulative savings and changes in production levels on weekends in 2017 caused negative incremental savings for one project, while others showed a range of 23% to 58% of their cumulative savings.
ised compressor baseline changes made by the Evaluator. The incremental energy savings of the other three projects ranged from 23 percent to 58 percent of their cumulative energy savings respectively. Incremental peak demand savings were c...
AI summary The document discusses incremental energy and peak demand savings from various projects, highlighting the need for standardized tracking methods. Adjustments to baseline consumption data resulted in increased incremental savings, and the Evaluator recommends using 2017 data to track 2018 savings more accurately.
incremental savings. Consequently, persisting savings and avoided decay are accounted for through their effect on the EUL. To estimate the EUL to be applied to savings, two elements were considered: › The remaining time in the program comp...
AI summary The document discusses how energy savings are accounted for through the Effective Useful Life (EUL) based on program participation duration and potential decay after participation ends. It assumes an average of four years of EMIS participation and uses a sensitivity analysis to estimate savings decay.
Savings Provider Support in Savings after Program Maintaining Savings Support Ends 1 9 9.5 10 2 9 9 10 3 8.5 8.5 8 or 9 4 9 7 10 The interviewed participants rated the likelihood of maintaining savings for each implemented measure after pr...
AI summary The text discusses the decay rate of energy savings post-program participation and calculates the Effective Useful Life (EUL) of savings. It outlines how savings persist over time, depending on the decay rate, and adds this to the EUL during participation to determine the total EUL.
vings after participation. For savings occurring in a third year of participation, the EUL would therefore be 2 years plus 1 to 4 years (depending on the decay rate), reaching a total of 3 to 6 years. Even though the decay rate is currentl...
AI summary The document discusses the calculation of Effective Useful Life (EUL) for energy savings from the EMIS program, applying different EULs based on participation duration and decay rates. It also outlines revised gross savings for 2017, including energy and peak demand savings at the generator, and the impact of line loss factors on these figures.
2017 DSM Evaluation Report Since all four 2017 participants have been continuing since 2015 or 2016, the conclusion that free- ridership is nil is still valid. The internal spillover effects were expected to be negligible because energy ma...
AI summary The 2017 DSM Evaluation Report concludes that free-ridership is nil for all participants since 2015 or 2016. Internal spillover effects are negligible due to energy management information systems measuring savings at the facility level. Net savings from the program are calculated as 1.752 GWh for energy and 0.137 MW for peak demand, with adjusted gross savings and net savings being equal due to no spillover or free-ridership effects.
Efficiency Nova Scotia 2017 DSM Evaluation Report The large increase in peak demand savings (86%) is attributable to the addition of peak demand savings to two projects that had not reported any. The NTGR used by ENS remained unchanged. En...
AI summary The 2017 DSM Evaluation Report highlights a significant 86% increase in peak demand savings due to the inclusion of peak demand savings from two previously unreported projects. The NTGR used by ENS remained unchanged, and the report includes data on the Custom Incentives Program's participation levels and savings for 2017.
luated savings, and so they were the focus of this evaluation. The 2017 evaluation revealed that EMIS achieved 1.402 GWh in net energy savings and 0.255 MW in net peak demand savings at the generator. Overall, the savings were well documen...
AI summary The 2017 evaluation of EMIS showed 1.402 GWh in net energy savings and 0.255 MW in net peak demand savings. Savings were well documented but had a 20% gap due to estimation methods. Participants were satisfied with EMIS, finding it useful for real-time energy decision-making.
Sections Recommendations 1 Continue relying on BDMs to assist participants and find new markets. The 2017 evaluation showed that many participants heard about Retrofit from a BDM and those who worked with a BDM were satisfied with their in...
AI summary The evaluation recommends continuing to use BDMs to support participants and expand outreach to industrial and agricultural sectors. It also highlights the need for a more in-depth review of energy models to identify discrepancies, particularly in heat pump systems and baseline calculations, to improve accuracy in savings estimates.
service would result in providing the right level of support to each participant and maximizing the added value of ENS support, that is, involving specialized consultants in retrocommissioning only when detailed investigation of energy-sav...
AI summary The text discusses the need for better definition of objectives and eligibility criteria for Building Optimization projects to ensure proper allocation of resources and accurate basecase establishment. It also highlights the importance of documenting pre-implementation conditions to verify project outcomes.
nsider all aspects of the program: Participation process, program forms, marketing, interactions with ENS staff or contractors, etc. _ Project No. 6138 37 Custom Incentives Program Efficiency Nova Scotia 2017 DSM Evaluation – Appendix Repo...
AI summary The document outlines the evaluation process for the New Construction projects under the Custom Incentives Program, including the review of energy model documentation and on-site validation of energy-efficiency measures implemented in buildings.
rations. The compilation involved summarizing the proposed energy-efficiency measures and the associated baseline used for each measure. On-site Validation of the Measures Implemented in the Building For the 2017 New Construction review, t...
AI summary The document describes the on-site validation process for energy-efficiency measures in the 2017 New Construction review. The Evaluator visited four out of five projects to confirm that proposed measures were installed and operational, and to assess participant satisfaction and building operations. Discrepancies identified were used to adjust energy consumption and demand savings estimates for each project.
Table 3: Tank Insulation Variables and Tracked Savings Values Variable Unit Value Abase ft2 292 Surface area of the storage tank prior to adding the tank wrap Ainsul ft2 314 Surface area of the storage tank after addition of the tank wrap...
AI summary This table outlines the variables and tracked savings values related to tank insulation, including surface area, heat transfer coefficients, temperature setpoints, and energy savings. The revised savings calculation highlights the impact of adding a tank wrap on energy efficiency.
was considered standard industry practice. Since ENS established all of its program component savings targets as incremental savings, the evaluated savings were modified to correspond to that definition. Energy savings that persist year ov...
AI summary The evaluation of ENS program savings found that incremental savings were considered standard practice, but savings dependent on ongoing support were not captured. A project involving a compressed air system replacement led to double-counting savings, requiring baseline adjustments and suggesting the need for systematic reviews to ensure accuracy.
DEFINITIONS Accuracy Reflects the proximity of measurements to the true value. The ratio of evaluated results to tracked results. This ratio expresses the Adjustment ratio adjustment made to tracked savings or other tracked values such as...
AI summary The text defines several key terms related to energy efficiency and measurement, including accuracy, adjustment ratio, base case, bias, billing calibration, confidence interval, displaced wattage, and EnerGuide ratings. These definitions are essential for understanding energy performance assessments and savings calculations.
es Canada) rating is a standard measure of the home's energy performance. It is a measure of the efficiency of the building only and does not take into account occupant EnerGuide rating behaviour. It shows how energy efficient the home is...
AI summary The text defines several key terms related to energy efficiency and environmental impact, including EnerGuide ratings, effective useful life, equipment life, and equivalent CO2. These metrics help assess building performance, energy savings over time, and the environmental impact of greenhouse gas emissions.
lement the energy Internal spillover efficiency measure introduced by a program after participating in it once, without participating in the program a second time. The proportion of incentivized products that are installed and operating. T...
AI summary The text defines various terms related to energy efficiency programs, including internal spillover, in-service rate, lifetime energy savings, line loss factor, margin of error, market effects, net energy savings, and net-to-gross ratio. These terms help measure the effectiveness and impact of energy efficiency initiatives.
Errors arising during the course of all survey activities other than sampling. Non-sampling error Non-sampling errors tend to lead to bias in measurements and are very difficult to quantify. Peak coincidence The percentage of measure deman...
AI summary The text discusses various statistical and measurement concepts related to energy efficiency programs, including non-sampling errors, peak coincidence factor, precision, random sampling error, sample size, secondary market impacts, tracked savings, and unitary savings. These metrics are used to evaluate the effectiveness of energy efficiency initiatives.
Efficiency Nova Scotia 2017 DSM Evaluation Report 4 SBES IMPACT EVALUATION The objective of the 2017 SBES impact evaluation is to determine the gross and net electrical energy and peak demand savings. This section discusses the gross and n...
AI summary The 2017 SBES impact evaluation assesses gross and net energy and peak demand savings from the Small Business Energy Solutions program. Five site visits were conducted with three SBEA companies, using an updated audit protocol that categorizes projects and auditors into three tiers based on complexity.
The Evaluator reviewed ENS’s gross savings estimates by conducting a desk review using the information contained in the tracking system, the CIRx Screening Tool and the findings of the on-site visits. In 2017, the SBES tracking sheet recor...
AI summary The Evaluator assessed ENS’s gross savings estimates using a desk review and on-site visits. In 2017, 1,823 measures were implemented across 10 categories, with lighting measures making up 94% of the total. A stratified sampling approach was used due to lighting's dominance in savings. Adjustments to baseline wattage, efficient wattage, and annual hours of use were noted.
uring sectors. Third, the applicant or the contractor applies a single facility schedule to an operation that involves several sub-schedules, like the schedule of a warehouse connected with an office. The peak coincidence factor (PCF) valu...
AI summary The text discusses the evaluation of energy efficiency measures, focusing on the peak coincidence factor (PCF) adjustments made in 2017. Modifications to PCF values were made based on verified facility operating schedules, with some adjustments resulting in lower peak demand savings ratios. The evaluation process showed only minor differences from previous years.
Efficiency Nova Scotia 2017 DSM Evaluation Report 4.2.2 Non-lighting Measures Three HVAC projects, one custom project and three kitchen projects were visited as part of the 2017 SBES evaluation. For two of the three kitchen measures, the t...
AI summary The 2017 DSM Evaluation Report discusses non-lighting measures, including HVAC and kitchen projects. Adjustments were made to tracked savings, such as using RETScreen software for a custom project and modifying heating capacity values to align with industry standards like NEEP Cold Climate Heat Pump lists.
Institute test value. In another case, a measure’s low-temperature heating capacity and low-temperature efficiency was changed to match the values contained in the NEEP Cold Climate Heat Pump list.10 Of the three kitchen measures reviewed...
AI summary The document discusses adjustments made to energy savings calculations for kitchen measures, including the use of the Savings Calculator for ENERGY STAR Certified Commercial Kitchen Equipment and recalculations based on the CIRx Screening Tool. These adjustments led to increased energy and peak demand savings estimates.
tor recommends that in the future, ENS provide copies of the Savings Calculator for ENERGY STAR Certified Commercial Kitchen Equipment to ensure that all of the input model variables can be confirmed. Only one custom measure was included i...
AI summary The text discusses the need for Energy Nova Scotia (ENS) to provide copies of the Savings Calculator for ENERGY STAR Certified Commercial Kitchen Equipment to ensure accurate input model variables. It also highlights issues with a building envelope upgrade project for an arena, where assumptions in the energy model did not align with industry best practices, leading to the project's removal from 2017 tracked savings.
Error Adjustment Ratio Error 1,822 measures 193 measures 0.889 9.3% 0.744 10.4% 4.2.4 Interactive Effects When a measure installed as part of SBES is affected by interactive effects, this is taken into account by the gross savings standard...
AI summary The document discusses the evaluation of energy savings measures, including the use of interactive effects factors and effective useful life (EUL) values in the calculation of energy savings. Adjustments were made to align methodologies with other program components and to ensure accurate long-term savings projections.
13 12.3 Motors and VFDs 15 15.0 Pumps 15 15.0 Refrigeration 10 15.0 Water heating 15 15.0 Overall, the revised equivalent EUL values are similar to those tracked by ENS. The most important increases in EUL were for kitchen (5 years) and re...
AI summary The text discusses revisions to Equivalent Useful Life (EUL) values for various energy efficiency measures, noting increases for kitchen and refrigeration products and decreases for custom and lighting measures. The decrease in lighting EUL is attributed to a drop in linear replacement lamps' EUL. The overall EUL for SBES remains unchanged at 12.8 years. Revised gross savings are calculated using line loss factors for audit and DIY paths.
0.013 0.000 0.005 0.002 0.031 7.772 Savings Adjustment Ratio 0.889 0.889 0.889 0.889 0.889 0.889 0.889 0.889 0.889 0.889 0.889 Total Gross Energy Savings - at 6.001 0.705 0.000 0.005 0.151 0.012 0.000 0.005 0.001 0.028 6.907 the Meter (GWh...
AI summary The text presents a series of numerical values related to energy savings, including gross energy savings at the meter and generator, line loss factors, effective useful life, and peak demand savings. These metrics are used to evaluate the performance and impact of energy efficiency programs.
et impacts were estimated by applying the NTGR listed above to the revised gross savings, and using the following equation: Net Savings = Revised Gross Savings × NTGR It should be noted that the NTGR was not applied to the revised gross sa...
AI summary The document calculates net energy and peak demand savings for the Small Business Energy Solutions Direct Installation Program, estimating annual CO2 eq savings and lifetime energy savings based on the Nova Scotia-specific GHG factor and effective useful life (EUL).
esulted in 5,151 tonnes of avoided CO2 eq annually. Based on the average EUL of 12.8 years for both DIY and Audit projects combined, the net lifetime energy savings were established at 100.854 GWh. 13 At the time of writing, 2017 data was...
AI summary The text discusses energy savings from the Small Business Energy Solutions (SBES) Audit Path program, highlighting 5,151 tonnes of avoided CO2 eq annually and 100.854 GWh of net lifetime energy savings based on an average EUL of 12.8 years. It references data sources for Nova Scotia Power’s emissions and electricity generation.
Energy Savings Revised Gross Energy 6.001 0.705 0.000 0.005 0.151 0.012 0.000 0.005 0.001 0.028 6.907 Savings – at the Meter (GWh) NTGR 0.87 0.87 0.87 0.87 0.87 0.87 0.87 0.87 0.87 0.87 - Net Energy Savings – at the 5.221 0.645 0.000 0.004...
AI summary The text presents tables detailing energy savings and peak demand savings at various points in the energy system, including at the meter, generator, and net lifetime savings. It includes metrics such as Effective Useful Life (EUL) and Line Loss Factor, which are used to calculate overall energy efficiency and savings.
e by having an ENS staff member follow up to help them consider non-lighting measures if the facility includes other large energy-consuming equipment. 2016 4. Consider working with auditors to make the process of developing cost Recommenda...
AI summary The text outlines recommendations for improving the efficiency of the Direct Installation Program by involving ENS staff in helping participants consider non-lighting energy measures and by working with auditors to streamline the cost estimation process. It also mentions the distribution of the Savings Calculator for ENERGY STAR Certified Commercial Kitchen Equipment to ensure accurate input variables.
ined for SBES. The Evaluator also consulted the specification sheets of the most popular products of each measure type to establish their rated lifetimes. Changes in regulation and baseline evolution The Evaluator examined the possibility...
AI summary The Evaluator assessed baseline evolution for lighting measures, considering changes in Canadian and U.S. regulations. The analysis focused on general-use, decorative, and reflector lamps, as well as LED downlight fixtures, with particular attention to the impact of the U.S. Energy Independence and Security Act (EISA) on minimum efficiency standards starting in 2020.
∆ 4.7 5 Natural Resources Canada. “Forward Regulatory Plan 2017-19”. Online: http://www.nrcan.gc.ca/energy/regulations-codes- standards/18318, (last modified July 25, 2017). Project No. 6138 52 Direct Installation Program Efficiency Nova S...
AI summary The document discusses the baseline evolution of LED A-type lamps and reflector lamps over their effective useful life (EUL), noting that the baseline for LED reflector lamps does not increase over their 5.7-year EUL. It also mentions the replacement of halogen lamps with LED reflector lamps.
4,380 8, 14, 15 or 18 13.7 13.7 Luminaires Parking Garage Luminaires 100,000 4,380 15 or 18 22.8 22.8 Project No. 6138 56 Direct Installation Program Efficiency Nova Scotia 2017 DSM Evaluation – Appendix Report Other Products For product t...
AI summary The document discusses the establishment of Equivalent Effective Useful Life (EUL) values for energy efficiency measures beyond lighting in the Direct Installation Program by Efficiency Nova Scotia. These values were determined based on a literature review and reliable sources, including technical reference manuals and evaluation reports.
mon values found in technical reference manuals, evaluation reports and relevant studies. The sources that based EUL estimates on measured data or other reliable methods were preferred when available.
AI summary The text discusses the preference for using sources that base Equivalent Effective Useful Life (EUL) estimates on measured data or reliable methods, as found in technical reference manuals, evaluation reports, and relevant studies.
Table 6: Revised Equivalent Effective Useful Life Values by Measure Category Measure Revised EUL Measure Reference Category (years) Agriculture heat pads 10 IESO PMA, 201510 Dairy scroll compressors 15 PA Consulting Group, 200911 GDS, 2007...
AI summary The table presents revised Equivalent Effective Useful Life (EUL) values for various energy efficiency measures in the agriculture category, citing references from multiple sources including consulting groups, TRMs, and databases.
Pennsylvania TRM, 2016 PG&E Workpapers, 2004, Demand controlled kitchen exhausts 15 2007, 2012 DEER, 2014 Energy Star Calculator17 Dishwashers 10 or 15 10 for under the counter, 15 for door type DEER, 2008, 2011, 2014 Freezers/refrigerator...
AI summary The text lists various kitchen equipment and their associated energy efficiency standards, referencing multiple sources such as the Pennsylvania TRM, PG&E Workpapers, DEER, and Energy Star Calculator. It provides specific energy efficiency values for items like dishwashers, freezers, fryers, griddles, and hot food holding cabinets.
The Evaluator considered all this information and revised the HOU to 11.5 hours per day over 255 days, or an annual total of 2,932.5 hours, and adjusted the CF to 0.5 based on the 6:00 p.m. shut-off. The variables used in the calculation o...
AI summary The Evaluator revised the Hours of Use (HOU) to 11.5 hours per day over 255 days, resulting in an annual total of 2,932.5 hours, and adjusted the Capacity Factor (CF) to 0.5 based on a 6:00 p.m. shut-off. These variables are detailed in Table 8.
OU Northeast Residential Lighting Hours-of-Use Study NHC New Home Construction NRCan Natural Resources Canada NSP Nova Scotia Power Codes and Standards ii Codes and Standards Efficiency Nova Scotia 2017 DSM Evaluation Report
AI summary The document references the Northeast Residential Lighting Hours-of-Use Study, New Home Construction, and Natural Resources Canada, in the context of a 2017 DSM Evaluation Report by Efficiency Nova Scotia under the Codes and Standards section.
without participating in the program a second time. The proportion of incentivized products that are installed and operating. This rate is usually applied to programs through which rebates are offered in-store In-service rate and products...
AI summary The text defines several metrics used in energy efficiency programs, including in-service rate, lifetime energy savings, line loss factor, margin of error, market effects, net energy savings, and net-to-gross ratio. These metrics are essential for evaluating the effectiveness and impact of energy efficiency initiatives.
ket .......................................... 23 Table 23: Per-square-meter Electric Energy Needs by Building Archetype, as per the NECB............. 23 Table 24: Energy Savings Associated with the Introduction of the Building Code Regula...
AI summary The text references a 2017 DSM Evaluation Report by Efficiency Nova Scotia, discussing energy efficiency codes and standards, including building archetypes and energy savings from building code regulations for large buildings, apartments, and condominiums.
- 1&news=295B1964-9737-4F80-B064-B3088D9910BE> (Last accessed February 5, 2018) 3 Natural Resources Canada, Publication of Regulations Amending Canada’s Energy Efficiency Regulations, 2011, available at (Last accessed February 5, 2018) 4 N...
AI summary The 2017 DSM Evaluation Report by Efficiency Nova Scotia discusses the evaluation of energy efficiency regulations, including the latest MEPS for incandescent lamps, street lights, and energy codes for various building types, alongside new regulations from 2011 and 2016.
ier 1 Yes CAN/CSA-C360-13 Refrigerators Yes CAN/CSA-C300-15 To evaluate the impacts of the new regulations on these products and codes listed in Table 1, Efficiency Nova Scotia (ENS) contracted the Evaluator to assess the achieved annual i...
AI summary Efficiency Nova Scotia (ENS) contracted an Evaluator to assess the annual incremental energy and peak demand savings from new regulations on products and codes listed in Table 1. Evaluations were conducted annually from 2012 to 2016 and again in 2017, with the methodology updated in 2015 to use Statistics Canada sources and industry data for more accurate results.
Efficiency Nova Scotia 2017 DSM Evaluation Report Key Findings The 2017 evaluation has estimated the 2017 annual impact in terms of energy and peak demand savings as a result of introducing new regulations into the Nova Scotia market gover...
AI summary The 2017 DSM Evaluation Report by Efficiency Nova Scotia estimates energy and peak demand savings resulting from new regulations governing products under Amendment 13 and provincial MEPS regulations. The total energy savings were 21.914 GWh and peak demand savings were 4.028 MW, equivalent to 14,312 tonnes of CO2 eq in annual avoided GHG emissions.
Efficiency Nova Scotia 2017 DSM Evaluation Report Recommendation International experience and the Evaluator’s own experience suggest that evaluating the energy impact of regulations or policies is usually more difficult than calculating th...
AI summary The 2017 DSM Evaluation Report recommends that evaluating the energy impact of codes and standards (C&S) is more complex than evaluating demand-side management (DSM) programs due to the difficulty in understanding the entire market for targeted products and obtaining detailed market data.
4043B-1&news=295B1964-9737-4F80-B064-B3088D9910BE (Last accessed February 5, 2018). 8 Natural Resources Canada, Notice – Publication of Energy Efficiency Regulation, 2016- Amendment 13. December 2016, available at (Last accessed February 5...
AI summary The text references several regulatory documents and amendments related to energy efficiency regulations in Canada, including amendments to lighting product standards and Nova Scotia's building code. It also mentions Efficiency Nova Scotia's 2017 DSM Evaluation Report, highlighting the focus on energy efficiency and regulatory compliance.
Efficiency Nova Scotia 2017 DSM Evaluation Report Table 3: Product Categories and Codes Impacted by Recent Changes to Nova Scotia’s Energy-Efficiency Regulations Existing MEPS before Reference Product Category Provincial Initiative Standar...
AI summary This table from Efficiency Nova Scotia's 2017 DSM Evaluation Report outlines product categories and their associated energy-efficiency standards, including existing MEPS and provincial initiatives, such as the National Energy Code for Houses and Small Buildings and the National Energy Code for Large Buildings.
rt 9 Clothes Washers – Tier 1 Yes CAN/CSA-C360-13 Refrigerators Yes CAN/CSA-C300-15 To evaluate the impact of these regulations, Efficiency Nova Scotia (ENS) hired the Evaluator to assess the annual energy and peak demand savings achieved...
AI summary Efficiency Nova Scotia (ENS) evaluated the impact of energy efficiency regulations on the Nova Scotia market from 2012 to 2017. The evaluation focused on five regulations, measuring market size, regulation impact, and energy savings differences between baseline and new standards.
assessed based on the information gathered from secondary data research and interviews with market actors and then compiled and analyzed, as described in more detail below. Secondary Data Collection This evaluation made extensive use of th...
AI summary The evaluation of the incandescent bulb market in Nova Scotia used secondary data from industry associations and government sources, including shipment trends and population ratios, to estimate market size and project 2017 conditions.
Table 4: Methodology Used to Estimate Market Sizes Method for Estimating Method for Estimating Total Shipments Shipments Sent Product Categories Sent to Canada or to Nova Scotia the Atlantic Region Using the population ratio Database for 2...
AI summary The document outlines methods used to estimate market sizes for various product categories, including incandescent lamps, refrigerators, and clothes washers, using data from industry associations and population ratios. It also mentions interviews with market actors.
anadian customers three main types of products that meet the maximum wattage requirements set by the new standard, namely the incandescent halogen, the CFL and the LED. 3.1.3 Market Size Estimate EFC provided information about lighting pro...
AI summary The text discusses market size estimates for lighting products in Nova Scotia based on data from 2004 to 2017, including the impact of new energy efficiency standards implemented in 2014. It outlines the types of products that meet wattage requirements and provides a breakdown of wattage proportions based on historical sales data.
dential sector since 90 percent of all incandescent lamps were sold in that sector. These estimates are applied to the peak demand savings per unit to calculate the annual energy savings estimates. Codes and Standards 8 Codes and Standards...
AI summary The document discusses the energy savings from replacing incandescent lamps with more efficient alternatives, focusing on peak demand and annual energy savings. It also addresses interactive effects, such as changes in heating and cooling loads due to these replacements.
e street-lighting requirements of Nova Scotia’s municipalities. Many lighting manufacturers have been making strong efforts to develop LED products, and the technology has been advancing rapidly.17 16 NMR Group Inc. and DNV GL, Northeast R...
AI summary Nova Scotia passed legislation in 2011 requiring the replacement of street lighting with LED technology. NSP has until 2019 to complete replacements, while municipalities have until 2022. The average lifespan of current high-pressure sodium street lights is about five years, necessitating replacements within the next decade.
Efficiency Nova Scotia 2017 DSM Evaluation Report Although a similar baseline (high-pressure sodium) was used and most methodologies met the Illuminating Engineering Society of North America RP-8-0027 criteria of the American National Stan...
AI summary The 2017 DSM Evaluation Report by Efficiency Nova Scotia discusses energy savings from LED street-lighting installations. A conservative estimate of 35% energy savings was used, resulting in 4.966 GWh of annual energy savings from 21,685 LED units installed in 2017.
Class Units Replaced Savings Savings at the Meter in 2017 in 2017 (kWh/unit) (GWh) LED Street Lighting (HRM and NSP) 21,685 229 4.966 Total 21,685 4.966 3.2.7 At the Meter Peak Demand Savings The Evaluator estimates that 1.236 MW was saved...
AI summary The document reports on energy savings achieved through the replacement of traditional street lighting with LED lighting in Nova Scotia. A total of 21,685 units were replaced, resulting in 4.966 GWh of savings at the meter in 2017 and 1.236 MW of peak demand savings, attributed to the high peak coincidence factor of 100% during the winter peak load period.
d NSP) Total 21,685 1.236 27 Illuminating Engineering Society of North America, http://www.ies.org/ Codes and Standards 15 Codes and Standards Efficiency Nova Scotia 2017 DSM Evaluation Report 3.3 New Building Energy Codes 3.3.1 Product De...
AI summary The document discusses the adoption of the National Energy Code for Buildings (NECB) 2011 by provinces such as Ontario, British Columbia, and Nova Scotia, which has contributed to increased energy efficiency in the building sector. The NECB enhances minimum requirements for energy-efficient building design and construction.
buildings in the commercial sector is 109,170 m2. To estimate the energy use associated with the commercial sector, a breakdown has been made between large-scale and small-scale development projects. There is no published data available on...
AI summary The document estimates the floor area of commercial and industrial buildings in Nova Scotia based on 2017 building permit data and a 2009 NRCan study. It uses a construction cost factor to estimate the total floor area of industrial buildings and applies a ratio from the study to split commercial floor area into small-scale and large-scale projects.
2009, December 2012, available at (Last accessed January 15, 2018). 42 Based on a construction cost of $1,500 per square meter. Codes and Standards 19 Codes and Standards Efficiency Nova Scotia 2017 DSM Evaluation Report Table 18: Estimate...
AI summary The document discusses estimated floor areas in the commercial and industrial sectors, including data on permits and the number of buildings. It also outlines the evaluation of unitary savings values for different building types, such as houses, small buildings, and large buildings.
estimated the unitary savings values separately for (1) houses and small buildings and (2) large buildings, apartments and condos (including multi-unit residential units). Houses and Small Buildings NRCan performed analyses using HOT2000 s...
AI summary The document discusses energy performance analyses conducted by NRCan using HOT2000 simulations to evaluate the 2012 Revision of Part 9 of the NBC. It compares the EnerGuide ratings of houses built before and after the regulation, showing an increase of 1 point post-implementation.
per EnerGuide point at 1,521 kWh/year. Using the overestimation ratio of 16 percent resulting from the billing analysis, the final savings value per EnerGuide point was established at 1,278 kWh/year. The literature review conducted by the...
AI summary The document calculates energy savings based on EnerGuide ratings and adjusts for overestimation. It also discusses heating sources in Nova Scotia, noting a high percentage of new homes use electricity for heating. A non-compliance rate of 58% was applied to savings due to regulation enforcement in 2014.
on-compliance rate of 58 percent, which was applied to the savings. 48 Corporate Research Associates Inc., 2011 ENS Socket Study, Final Report Prepared for Efficiency Nova Scotia, December 2011. Codes and Standards 21 Codes and Standards E...
AI summary The document discusses a study on the energy and operating cost savings associated with the proposed NECB – 2011 building code, using results from a Caneta Research Inc. study conducted in 2010. The study modeled changes in seven Canadian locations, with Montreal's results used as a proxy for Nova Scotia.
ts in the Caneta study regarding Montreal as a proxy for Nova Scotia. The building archetypes used by the Caneta study for large buildings, apartments and condominiums are described in Table 19 below. Table 19: Building Archetypes Used in...
AI summary The text references the Caneta study, which uses building archetypes from Montreal as a proxy for Nova Scotia, including details on building sizes and types. Table 20 compares estimated electric energy savings by building type, using NECB, MNECB, and ASHRAE standards.
13,380 1,595.0 0.119 Warehouse 3,891 153.1 0.039 Codes and Standards 23 Codes and Standards Efficiency Nova Scotia 2017 DSM Evaluation Report The factors ranged from 0.047 MWh/m2 for mid-rise apartments to 0.119 MWh/m2 for a strip mall in...
AI summary The document discusses energy savings associated with the introduction of the Building Code Regulation for large buildings, apartments, and condominiums. It provides energy use factors for different building types and estimates total incremental energy savings based on building permit data and the NECB.
emand savings were determined by using the average maximum monthly demand reduction for this three- month period. The energy savings used are based on Custom’s New Construction service energy savings. Table 26: Total Peak Demand Savings As...
AI summary The evaluation report discusses peak demand savings associated with the introduction of the Building Code Regulation for various building types, including multi-unit residential, small commercial, large commercial, and industrial buildings. The total peak demand savings were estimated at 0.816 MW, with multi-unit residential and large commercial buildings contributing the majority of the savings.
Efficiency Nova Scotia 2017 DSM Evaluation Report 3.4 Clothes Washers 3.4.1 Product Description Residential clothes washers are common household appliances. Clothes washers are classified in Canada according to size (standard over 45 L or...
AI summary This section of the 2017 DSM Evaluation Report discusses residential clothes washers, their classification, and the regulation of their energy efficiency. It outlines the amendment to the Energy Efficiency Regulations in 2016, which introduced two tiers of minimum energy performance standards (MEPS) effective from 2015 and 2018, with the latter not covered in the report.
Efficiency Nova Scotia 2017 DSM Evaluation Report 3.4.4 Portion of the Market Impacted by the Regulation The NRCan cost-benefit analysis report on the standards covered by Amendment 13 provided the non- compliance rate for Tier 1 clothes w...
AI summary The report discusses the impact of Amendment 13 on the clothes washer market in Nova Scotia, estimating the portion of the market affected and calculating unitary savings values based on water heating sources. Non-compliance rates are assumed to be the same as Canada-wide rates due to lack of province-specific data.
in Nova Scotia from the Instant Savings 2017 evaluation to calculate a weighted average of all types of clothes washers. Table 29: Unitary Savings Values for Clothes Washers Product Class Annual Energy Annual Energy Weighted Average Saving...
AI summary This section discusses energy savings from the introduction of new minimum energy performance standards (MEPS) for Tier 1 clothes washers in Nova Scotia. It calculates unitary savings values and estimates overall energy savings of 2.447 GWh at the meter in 2017.
estimate peak demand savings for clothes washers. The Evaluator estimates that the introduction of the regulation generated 0.337 MW in peak savings in Nova Scotia in 2017, as summarized in Table 31. Table 31: Peak Demand Savings Associate...
AI summary The text discusses peak demand savings from the introduction of clothes washer standards in Nova Scotia in 2017, estimating total peak demand savings of 0.337 MW. It references Table 31, which provides detailed breakdowns of energy and peak demand savings by product class.
cessed February 2, 2018). 57 Dunsky Energy Consulting, Update - Market and Technology Assessment for Residential Clothes Washers in Canada, Final Report submitted to Natural Resources Canada), 2015. Codes and Standards 30 Codes and Standar...
AI summary The text discusses unitary savings values for refrigerators under Amendment 13 by NRCan and estimates energy savings from new MEPS regulations in Nova Scotia, reporting 0.052 GWh at the meter in 2017.
0.043 0.138 0.006 Total 0.052 0.007 3.6 Total Savings at the Generator Incremental annual energy savings at the meter were calculated by taking into account all product categories, for which the necessary information about the market size,...
AI summary The document calculates incremental annual energy savings at the generator level, using line loss factors provided by NSP for different sectors. It estimates 21.914 GWh and 4.028 MW of energy and peak demand savings in 2017, resulting in 14,312 tonnes of avoided CO2 eq annually, based on a Nova Scotia-specific GHG factor derived from 2016 data.