E-3E1 (NSPI) RIRs to IR-1 to IR-69
93 passages
Consider more ambitious In determining the appropriate level Please refer to the Evidence Preferred Plan with energy of energy savings for the Preferred - Section 4.1 – The 2014 savings at the 2014 Integrated Plan EfficiencyOne did rely on...
AI summary EfficiencyOne's Preferred Plan relies on the 2014 Integrated Resource Plan (IRP) but exceeds the $0.24/kWh unit cost threshold. The plan's investment level was guided by maximizing energy savings, ensuring a balanced portfolio, and determining appropriate investment levels, as outlined in referenced Evidence sections.
in public documents. The best practices were reviewed by the CLEAResult Subject Matter Expert (SME) team, which has significant experience in program design, delivery and evaluation. The result of the jurisdictional scans, contained in App...
AI summary The CLEAResult SME team reviewed best practices for energy efficiency programs, benchmarking ENS’s incentives and performance. Jurisdictional scans identified considerations for incentive setting, which were integrated into recommendations. The study also analyzed Nova Scotia’s energy market, demographics, and regulatory structure to tailor findings to the local context.
al Study, authored by Navigant Consulting in 2014,14 from information obtained from EfficiencyOne employees and from other industry data sources such as Stats Canada and ElectroFed.
AI summary A study conducted by Navigant Consulting in 2014, based on information from EfficiencyOne employees and industry data sources like Stats Canada and ElectroFed, is referenced in the text.
BUSINESS, NOT-FOR PROFIT AND INSTITUTIONAL SECTOR The commercial sector accounts for businesses, not-for-profits and institutional customers. In Nova Scotia, there are 37,679 accounts that are represented by the Small Business Advocate. Th...
AI summary The document discusses the commercial sector in Nova Scotia, highlighting the number of accounts, rate classes, and eligibility for energy programs. It also outlines weekly operating hours for different customer categories and emphasizes the importance of capturing operating hours for project applications. Indoor lighting energy consumption and fluorescent technology dominance are noted.
s from 2010-2014 below, along with a unit cost (first year energy savings), scale of relative effort, and a proxy for “residential customer motivation” comparison to the other jurisdictions: Business, Business, Fully Allocated Not for Prof...
AI summary The text presents data from 2010-2014, including energy savings, demand reduction, and expenditures for residential and business sectors, along with metrics such as unit cost, scale of effort, and customer motivation compared to other jurisdictions.
(MW) 2010 22 60 5.89 9.96 7.49 11.82 3.39 2011 44 98 12.11 16.75 19.71 13.12 2.96 2012 70 88 17.71 16.08 18.74 20.49 4.44 2013 80 84 16.80 17.30 17.68 18.09 3.85 2014 80 71 15.51 11.57 17.35 16.46 3.30 Total 297.15 401.30 68.02 71.65 80.97...
AI summary The text presents a table showing historical performance data for ENS from 2010 to 2014, including various metrics such as annual energy savings, unit cost of conservation, and residential electricity rates. The data highlights trends and figures over the years, providing a snapshot of ENS's performance.
$0.30/kWh (MACE Low Cost) 1.6% $0.1567/kWh $0.35/kWh (MACE High Cost) Massachusetts (National $0.46/kWh 2.94% $0.165-$0.185/kWh Grid) The dollar amounts for these jurisdictions are quoted in US dollars. Table 8: Unit Cost, Energy Savings,...
AI summary Table 8 compares energy efficiency portfolio performance and residential rates across different jurisdictions, showing that Nova Scotia's EfficiencyOne and energy efficiency targets are comparable to others. The 2016-2018 savings targets and budgets for ENS are outlined, with consistent unit costs of $0.25/kWh.
(incentives are not directly included in the TRC). Other jurisdictions have applied different approaches for measure level testing, choosing to exclude administration costs as these can vary greatly depending on the maturity of the measure...
AI summary The document discusses Nova Scotia Power's use of the Energy Efficiency Resource Assessment Model (EERAM) for long-term planning and the methodology for calculating avoided costs, which differ from other jurisdictions. Conservation activities compete with the lowest cost of supply, and avoided capacity costs are set at $0/kW until 2019, impacting how efficiency programs can claim benefits.
cognize local avoided costs, and to consider discount and premium zones for electricity conservation. This position will be considered in any incentive methodology recommendations. OTHER CONSIDERATIONS Through the most recent program evalu...
AI summary The document discusses the need to consider local avoided costs and discount/premium zones for electricity conservation. It highlights issues with savings attribution in educational initiatives, particularly the Home Energy Reports (HER) program, and notes the use of an average wattage approach for energy savings estimates, which may present challenges in determining lifetime energy savings.
Commercial, institutional and industrial customers are eligible to apply to the Custom Program for measures or projects that do not fit under a prescriptive project stream. Scoping and/or Feasibility studies have to be conducted before the...
AI summary The Custom Program allows commercial, institutional, and industrial customers to apply for energy efficiency measures not covered by standard project streams. Projects require scoping or feasibility studies, and incentives are calculated based on various factors. Interest-free financing is available, and there are specialized components for compressed air and recommissioning services.
payback, and unit cost), up to a maximum of $25,000 per building. Customers can access other programs for the other energy savings opportunities. For commercial and industrial customers planning a new build, a building expansion or a major...
AI summary The ENS program offers financial assistance and support for energy efficiency initiatives in commercial and industrial buildings, including design assistance, incentives for equipment, and access to energy management systems. The program also provides multi-year financing and support for strategic energy management approaches.
ed incentive level setting process, and identify if additional efforts are required. In many cases, the existing research efforts can be leveraged for both customer and technology research. TECHNOLOGY RESEARCH Technology research can provi...
AI summary The text discusses the importance of technology research in setting incentive levels for energy efficiency programs, emphasizing the need to understand energy savings, technology penetration, and pricing forecasts for both efficient and base case technologies.
can be leveraged to support the recommended research efforts. 25 Our Electricity Future: Nova Scotia’s Energy Plan 2015-2020, Nova Scotia Department of Energy, Available: http://energy.novascotia.ca/sites/default/files/Our-Electricity-Futu...
AI summary The text references a document titled 'Our Electricity Future: Nova Scotia’s Energy Plan 2015-2020' published by the Nova Scotia Department of Energy. It appears to be part of a regulatory proceeding, with a filing date of March 29, 2019, and is related to NS Power's submission.
General Principle Current Activities Recommended Activities For Instant Savings, EfficiencyOne gains an understanding of technology savings, price and penetration through the following activities: The current activities should be continu...
AI summary The text discusses EfficiencyOne's approach to understanding technology savings, including energy efficiency standards, program evaluation, industry data, and specific studies. It highlights the elimination of CFLs in 2014 as a proactive measure and recommends continuing current activities and implementing general principles to support the Instant Savings program.
Average (EEPS II) (EEPS II) Average New York $0.2005/kW ≈1% (NYSERDA) h $0.125- Vermont 2015-2017 107.27 GWh $43.43 55% $0.40/kWh 2% $0.195/kWh
AI summary The text presents average energy efficiency program performance metrics, including data from New York and Vermont, highlighting key figures such as energy savings, costs, and efficiency rates.
regulatory directions to BCUC as required. The Ministry is also involved with assessing if appropriate incentives are available for utilities to identify and pursue cost-effective programs. PORTFOLIO MATURITY AND HISTORICAL PERFORMANCE Fig...
AI summary The document discusses the assessment of incentives for utilities to pursue cost-effective energy efficiency programs, referencing historical electricity savings from 2003 to 2007 and a forecast of 10,610 GWh of savings in 2020. It also mentions the 2007 Energy Plan's conservation target and the Conservation Potential Review (CPR) conducted in 2006 and 2007.
08/BCH_LTAP_B-1- 1_APPENDICES/Appendix%20K.pdf 106 We change the way people use energy Date Filed: March 29, 2019 NS Power IR-15 Attachment 1 Page 123 of 206 Figure 26: Planned Energy Savings in F2020 (GWh/yr)4 Codes and Rate Programs Tota...
AI summary The document outlines planned energy and capacity savings for F2020, detailing contributions from residential, commercial, and industrial sectors through codes and standards, rate structures, and programs, with total energy savings expected to reach 10,610 GWh/yr and capacity savings of 5,150 MW.
Programs Total Standards Structures Residential 584 217 202 1,003 Commercial 65 63 194 322 Industrial 14 95 321 430 Total 662 375 719 1,756 Below is the cumulative rate of annual electricity savings resulting from DSM activities. This incl...
AI summary The document presents data on electricity savings from DSM activities, including residential, commercial, and industrial programs. It references the 2008 BC Energy Plan and outlines support initiatives in the DSM Plan, such as codes and standards, public awareness, and rate structures.
INCENTIVE LEVEL-SETTING METHODOLOGY The following is a rough sketch of what we have seen in other territories. BC Hydro is responsible for setting incentive levels for their programs and introducing new measures and programs. This is perfo...
AI summary This text outlines BC Hydro's methodology for setting incentive levels for energy efficiency programs. It includes benchmarking against other jurisdictions, market research, use of technical reference manuals, and incremental cost design to determine appropriate incentives for customers.
Energy Management management which produces a detailed report that highlights Assessment areas of opportunities within your organization (Commercial) Working together with BC Hydro to provide you with resources to Program implement recom...
AI summary The text describes an energy management program that includes assessments, benchmarking, and studies to help organizations identify energy efficiency opportunities. It outlines eligibility criteria and available study types, such as site investigations and audits, targeting industrial customers with high energy consumption.
$10,544,823 $16,589,934 $10,660,000 $3,832,285 $5,659,857 $2,593,500 N/A 2011 2012 $4,519,285 $5,564,562 $2,739,807 $5,907,497 2013 $29,365,716 $144,919,976 $111,567,548 $29,493,216 2014 $17,741,736 Three programs combined into Discontinue...
AI summary The text presents financial figures and program details, including gas program budgets and electric savings results, with references to energy efficiency studies and regulatory documents related to energy programs in New York.
We change the way people use energy Date Filed: March 29, 2019 NS Power IR-15 Attachment 1 Page 160 of 206 The costs calculated in the TRC are costs paid by the program administrators and participants plus the increase in supply costs for...
AI summary The text presents a table showing the costs calculated in the TRC, which include costs paid by program administrators and participants, as well as the increase in supply costs due to load increases. It lists various programs and their associated energy efficiency targets from 2009 to 2015.
he following are the retail prices for Con Edison customers in 2014: Residential: $0.2885/kWh Commercial: $0.2216/kWh Industrial: $0.2018/kWh NYSERDA ENERGY EFFICIENCY PROGRAM INCENTIVE AND COST EFFECTIVENESS POLICY Cost Effectivenes...
AI summary The text provides retail electricity prices for Con Edison customers in 2014 and discusses NYSERDA's energy efficiency programs under the Energy Efficiency Portfolio Standard (EEPS). It outlines cost-effectiveness testing using the Total Resource Cost (TRC) and the calculation of avoided supply costs provided by the NY-ISO. Energy efficiency programs are funded over three-year cycles and cover residential and commercial sectors.
Efficiency Vermont was the first state-wide energy efficiency utility of its kind in North America. It was established in 1999 through regulation from the PSB. Efficiency Vermont runs through a contract between the PSB and VEIC, the curren...
AI summary Efficiency Vermont was established in 1999 by the PSB to administer state-wide energy efficiency programs. It operates through a contract with VEIC, an independent not-for-profit. The PSB oversees the EEU Program and sets the Energy Efficiency Charge (EEC) on utility bills. Burlington Electric Department also administers similar programs.
Every measure has its energy savings assumptions evaluated every three years at a minimum. Usually, measures are reviewed for their savings assumptions every year or every two years.
AI summary The text discusses the periodic evaluation of energy savings assumptions for measures, typically reviewed every year or two, though a minimum requirement of every three years is in place.
for developing, planning, coordinating and implementing energy efficiency and alternative energy resource programs in the entire state; this includes electric and gas fuel programs. LOAD AND CONSUMPTION INFORMATION (ELECTRIC) Electricity i...
AI summary The text discusses energy efficiency and alternative energy programs in Maine, including electricity distribution by ISO New England and Northern Maine Independent System Operator, along with customer account numbers and electricity rates for residential, commercial, and industrial sectors.
Incentives are provided for the installation of qualifying energy management systems and vending miser controls For customers with a demand under 300 kW, offer http://www.mass a free audit for identifying energy savings save.com/en/bu...
AI summary The document outlines incentives for energy efficiency measures in commercial and small business settings, including free audits, financial support for retrofits, and financing options for energy management systems and equipment.
ustom measures r Renovation and siness/incentive- Commercial and sustainable office design. Incentives are Replacing Failed programs/new- provided on a prescriptive, quasi-prescriptive or Equipment construction- performance basis. Program...
AI summary The text outlines a commercial incentive program for replacing failed equipment and implementing sustainable office design, offering up to 75% of the incremental cost for installed equipment and $1.00/sqft for energy-efficient lighting and control systems in leased spaces.
provide additional detail about each of these challenges. Specific fields that program staff reported were unclear or posed technical challenges are listed in Appendix A. 2.2.1. Lack of Clarity about Needed Inputs All program staff reporte...
AI summary Program staff faced challenges with unclear input requirements in the Workbook, leading to uncertainty about the level of detail, acceptable assumptions, and the meaning of specific fields. Examples include confusion over the 'Estimated Participation Level' and 'Base Case Energy Consumption' fields.
• Small Business Energy Study; 20 • Residential Socket Study; 21 • DSM data tracking system implementation; 22 • electronic Technical Reference Manual (eTRM) development; 23 • tracking quality assurance and participant satisfaction; 24 • t...
AI summary The document outlines various studies and initiatives related to energy efficiency, including a Small Business Energy Study, Residential Socket Study, and the implementation of a DSM data tracking system. It also mentions the development of an electronic Technical Reference Manual (eTRM) and efforts to track participant satisfaction and attitudinal metrics among Nova Scotian households.
NON-CONFIDENTIAL 1 • a review of the economic impact of the energy efficiency industry in Nova Scotia; and 2 • receipt, analysis and utilization of NS Power customer usage data to aid in program- 3 specific marketing campaigns and promotio...
AI summary EfficiencyOne collaborates with governments to advance energy efficiency standards and regulations in Nova Scotia. It participated in various committees and working groups to support the development of national and regional energy efficiency standards, including the National Energy Code for Buildings and the Pan-Canadian Framework on Clean Growth and Climate Change.
its independent evaluator to evaluate impacts related to changes in codes 7 and standards on a year-to-year basis and intends to continue to do so as part of the 2020-2022 8 DSM Resource Plan. Date Filed: March 29, 2019 E1 (NS Power) IR-28...
AI summary The text discusses the evaluation of impacts related to changes in energy codes and standards on a year-to-year basis as part of the 2020-2022 DSM Resource Plan. It references a regulation amending the Energy Efficiency Regulations, 2016, published in the Canada Gazette.
ns were monetized and incorporated into the analysis using a social cost of carbon, as calculated by Environment and Climate Change Canada. Assumptions Key assumptions include the following: Businessasusual case reflects Canadian market...
AI summary The analysis assumes a business-as-usual scenario based on 2016 Canadian market conditions and uses a social cost of carbon calculated by Environment and Climate Change Canada. It estimates benefits and costs in real constant 2015 dollars with a 3% discount rate. The valuation of GHG emissions and incremental costs for efficient technology are key factors, with the latter assumed constant despite potential cost reductions over time.
3.76 15.76 121.23 — (petajoules) Positive impacts on Canadians GHG emission reductions 0.36 1.54 11.78 — (megatonnes) Note: Numbers may not add up to totals due to rounding. Sensitivity analysis As discussed above, the analysis assumed tha...
AI summary The analysis assumes that Canadian amendments to MEPS 22 have no spillover effects from the U.S., but sensitivity analysis shows that even with a 50% reduction in impacted product models, the total benefit to cost ratio remains about four to one, indicating significant net benefits.
ication — costs and alternative scheme for battery chargers A number of stakeholders including three industry associations inquired or raised concerns over verification and its associated costs. Canada’s compliance approach differs from th...
AI summary Stakeholders raised concerns about verification costs for battery chargers. Natural Resources Canada requires certification by accredited bodies for compliance, ensuring fairness and credibility. An alternative verification scheme was introduced to make the process more efficient for low-cost, high-volume products like battery chargers.
Indicators performance GHG emissions are reduced to contribute to Canada’s goal to reduce GHG Percentage of product models Energy efficiency reports emissions by at least 30% below 2005 levels by 2030 that meet MEPS Import reports Consumer...
AI summary The text outlines performance indicators related to GHG emissions reduction, energy efficiency, and cost savings from using efficient products. It emphasizes monitoring through compliance reporting, third-party verification, and market data collection to assess outcomes.
f these goals. It would also lead to missed opportunities to reduce energy consumption, leaving consumers and businesses with higher energy costs for heating associated with the building sector. The status quo option would not deliver on t...
AI summary The status quo and voluntary approach options fail to meet federal and provincial goals for energy efficiency, including the 2025 target for heating equipment. The status quo does not align with the Pan-Canadian Framework on Clean Growth and Climate Change, while the voluntary approach would not sufficiently reduce GHG emissions or energy consumption.
NS Power IR-28 Attachment 2 Page 21 of 44 3/15/2019 Canada Gazette, Part 1, Volume 152, Number 42: Regulations Amending the Energy Efficiency Regulations, 2016 (Amendment 15) According to the International Energy Agency, policies and progr...
AI summary The document discusses the cost-effectiveness of energy efficiency policies in reducing GHG emissions and highlights the benefits of stricter MEPS regulations. It argues that despite higher initial costs, compliance with these standards will lead to long-term energy savings and monetary benefits for consumers.
Lab testing commercial building floor space. Emission factors Businesses using regulated energyusing products save money that can lead to Energy prices increased productivity and competitiveness. Performance will be monitored through a co...
AI summary The text discusses the implementation of energy efficiency regulations, focusing on compliance monitoring, emission factors, and the role of lab testing and third-party verification. It outlines methods for tracking performance and the impact of energy consumption on both GHG emissions and consumer savings. The standards are part of a federal program, and progress is reported in various official documents.
e they are confidential business costs that vary based on business relationships. 18 However, they are estimated to be less than 10% of the total testing costs. Methodology to estimate benefits Energy savings for each product category were...
AI summary The text discusses a methodology for estimating energy savings and costs associated with meeting Minimum Energy Performance Standards (MEPS). Energy savings are calculated by comparing the energy use of benchmark and modified product models, factoring in usage patterns, shipments, and product lifespan. Results are monetized based on energy cost per unit.
ct categories to arrive at the estimate of total energy saved. This was then monetized by multiplying the results by the cost of energy per unit of energy saved (i.e. dollars per kilowatt hour). The reductions in GHG emissions were calcula...
AI summary The document outlines a methodology for estimating energy savings and GHG emissions reductions from an amendment. Energy savings are calculated using cost per unit of energy saved, while GHG reductions are determined using fuel-specific emission factors and a social cost of carbon for monetization.
f regulated products imported into Canada can be verified. The Regulations would continue to require dealers of prescribed products to provide the information needed for customs monitoring. Direct fieldwork: market survey and product testi...
AI summary The document outlines compliance and monitoring activities related to regulated products in Canada, including fieldwork, market surveys, product testing, and performance measurement. It emphasizes the role of Natural Resources Canada in ensuring compliance and the use of performance indicators to evaluate the effectiveness of regulations.
region for the factor; (f) off mode power consumption; and (g) phase of electric current.
AI summary The text outlines various factors related to energy consumption, including off mode power consumption and the phase of electric current. These factors are likely relevant to energy efficiency and regulatory considerations.
U.S. Interagency Working Group on the Social Cost of Carbon (IWGSCC), 2010. Technical Support Document: Social Cost of Carbon for Regulatory Impact Analysis under Executive Order 12866. 18 Vary by manufacturer and are based on a number of...
AI summary The text references technical documents and studies related to energy efficiency, including the Social Cost of Carbon, appliance standards, and the impact of regulations on emissions. It also mentions cost calculations for technologies and installation, as well as benefits from energy savings and GHG reductions.
NON-CONFIDENTIAL 1 Global variables (e.g., line losses, avoided costs, and discount rate) were compiled by 2 EfficiencyOne using the most up-to-date data available. Indices that form the reporting 3 schema (e.g., definitions of program and...
AI summary EfficiencyOne developed a model to optimize energy efficiency programs by defining global variables and applying constraints to ensure realistic outcomes. The model was tested and refined iteratively, with adjustments made to address issues such as market saturation in certain programs.
ement for Electricity Efficiency and Conservation Activities between E1 and Nova Scotia Power Inc. (DSM 2020- 2022) M09096 (E-ENS-R-19) E1 Responses to Nova Scotia Power Inc. (NS Power) NON-CONFIDENTIAL 1 Request IR-41: 2 3 Attachment 1 to...
AI summary E1 provides responses to Nova Scotia Power Inc. regarding data sources and supporting documentation for measure life data, Gross Peak Demand Savings, abbreviations, and Present Value Avoided Cost Benefits related to Residential Demand Reduction measures in the DSM 2020-2022 proceeding.
inition Based on a critical review of previous definitions2 by GDS and discussion with the SPWG, the following measure life definition was agreed on for use in this report: For programs delivered by program administrators in New England, M...
AI summary The document outlines the agreed-upon definition of Measure Life for energy efficiency programs, distinguishing between equipment life and measure persistence, and presents recommended measure life values for residential and commercial/industrial lighting and HVAC measures.
able 2 – Commercial and Industrial (C&I) Measures • Lighting • Lighting Controls • HVAC • HVAC Controls • Motors 2 One key source for the SPWG’s measure life definition came from the October 10, 2005 Measure Life Study Report prepared for...
AI summary The text references a measure life study conducted by ERS for The Massachusetts Joint Utilities in 2005, which was used by the SPWG as a key source for defining measure life. It also mentions GDS Associates, Inc. and refers to a document titled 'Introduction and Results Page 1-2'.
25 years - new construction (ESTAR Homes) Air Conditioner or Heat Pump Commisioning Air Conditioner or Heat Pump ECM 18 years Refrigerant Charge - at time of installation Heating & Cooling System repair/tune-up/recharge 5 years Room/Window...
AI summary The text outlines various components of home energy systems along with their expected lifespans, including air conditioners, heat pumps, insulation, ventilation systems, and more. It provides a breakdown of different systems and their respective service lives, which may be relevant to energy efficiency and maintenance planning.
rs HVAC Controls Programmable Thermostat 8 years N/A Energy Management Systems (EMS) 10 years 15 years Motors Motors 15 years 20 years Also applies for installation in common areas of multifamily buildings Primary Source: Measure Life Stud...
AI summary The text provides information on the expected lifespans of HVAC controls and motors, with specific values for programmable thermostats, energy management systems, and motors. It also references a study by ERS and mentions additional measure life information compiled for non-lighting/HVAC measures, included in Appendix C of the report.
n. Where applicable, all tables include notes to identify specific measures that might be good candidates for further research or a targeted measure life/persistence study. Appendix B provides more comprehensive reference information for t...
AI summary The text discusses the inclusion of notes in tables to identify measures suitable for further research and the provision of appendices with reference information and background details for residential and C&I lighting and HVAC measures, as well as other collected measures.
age 9 of 36 APPENDIX A Background Detail Considered in Development of Common Measure Life Values The following tables provide the source information on the residential and C&I lighting and HVAC measures that were the subject of this report...
AI summary This document discusses the development of common measure life values for residential and C&I lighting and HVAC measures. It outlines the process used by the SPWG and GDS to review and establish these values based on source data and supporting information such as daily usage and location.
10 years - NH, VT, ME 9 years - DEER; 9.4 years - CALMAC Residential Lighting Controls 10 years - consistent with C/I sector Retrofit value Occupancy Sensors 10 years 15 years - VT GDS Associates, Inc. Appendix A Page A-1 Date Filed: March...
AI summary The document presents information on the lifespan of residential heating and cooling measures, including examples from various states and organizations such as DEER, CALMAC, and GDS Associates, Inc. It includes a table referencing residential heating and cooling measures and their measure life.
New: 15 years (MA, RI, NH, VT) Commercial & Industrial Lighting Controls 9 years (retrofit) - MA, RI, NH 10 years (new) - MA, RI, NH Occupancy Sensors 9 years 10 years 10 years (retrofit and new) - VT 15 years (new) - CT 8, 10 years - CALM...
AI summary The text provides information on the lifespan of various lighting control measures, including occupancy sensors and daylight dimming, across different states and regions. It includes notes on the primary source of the data and mentions that some measures are not included in the study or require further research.
nal Grid, May 2, 2005. Connecticut - UI and CLP -2007 Connecticut - UI and CLP Programs Savings Documentation - 2007 Table 1.4 Commercial and Industrial Lifetimes Page 222 Study Primary Source CALMAC Public Workshops on PY Energy Efficienc...
AI summary The text lists various studies and sources related to energy efficiency programs, including studies from Connecticut, Vermont, and California, as well as reports from organizations such as CALMAC and Efficiency Vermont. These documents provide data on program lifetimes, technical potential, and resource databases.
ERS, 11/17/05, p. 1-4. Connecticut - UI and CLP -2007 Connecticut - UI and CLP Programs Savings Documentation - 2007 Table 1.4 Commercial and Industrial Lifetimes Page 222 Study Primary Source CALMAC Public Workshops CALMAC Public Workshop...
AI summary The text includes references to various energy efficiency studies and programs, including CALMAC Public Workshops, a Vermont Technical Potential Study, and Efficiency Vermont's TRM Users Manual. It also references a document from NS Power dated March 29, 2019, discussing targeted measures and preliminary measure life value data for residential and commercial and industrial end use equipment.
APPENDIX C – Additional Documentation on Targeted Measures and Preliminary Measure Life Value Data for Other Residential and C&I End Use Equipment GDS Associates, Inc. Appendix C Page C-0 Date Filed: March 29, 2019 NS Power IR-41 Attachmen...
AI summary This document provides additional documentation on targeted measures and preliminary measure life value data for residential and commercial and industrial (C&I) end use equipment. It is part of a larger submission by GDS Associates, Inc. dated March 29, 2019.
Current Value (in Years, or Hours if indicated) Basis and Documentation Source(s) May Vary by: Retail Store (RS), Retail Catalog (RC), Residential Measures Basis: Equipment Life (EL) or EL and Measure Persistence (EL&MP) Installed, Multifa...
AI summary The text provides information on the current value and lifespan of residential interior lighting measures, including factors such as equipment life and measure persistence. It references data sources like manufacturer information and studies, and notes variations in lighting lifespans based on usage and installation type.
s at 3.4 hours/day; PSNH RS EL=6.4 8,000 hours at 3.4 hours/day; RC 8.1; RS 6.4; 8.6 ES Homes New Const EL=8.6 for Energy Star Homes Program EL(=6 [22]; 7.2 [19]; 9 [20] [22]) & MP(persistence value not specified, however sources reference...
AI summary The text provides energy usage data and efficiency metrics for various lighting and energy programs, including LED exit signs, CFL fixtures, and Energy Star Homes Program. It references multiple entities and studies with varying efficiency levels and persistence values.
ms [17] CT-07 20 [16] Fixture - CFL EL, manufacturer data and stipulated values, 10.87 for homes withouth CFL installation, 12.08 for VT TPS 10.87 - 12.08 homes with partial CFL installation [23] EL(=16) [37] [38] & MP(persistence value no...
AI summary The text discusses energy efficiency measures, specifically focusing on the use of compact fluorescent lamps (CFLs) in residential and commercial settings, including their energy savings, persistence values, and associated programs such as Home Energy Solutions and Home Energy Assistance Programs.
Current Value (in Years, or Hours if indicated) Basis and Documentation Source(s) Residential Measures May Vary by: Retail Store (RS), Retail Catalog (RC), Basis: Equipment Life (EL) or EL and Measure Persistence (EL&MP) Installed, Multifa...
AI summary The text discusses the current value and lifespan of residential energy efficiency measures, including factors like equipment life and measure persistence. It references various sources such as manufacturer data, studies, and stipulated values to determine the lifespan of fixtures like Circline.
presented in Table A on page 211 of VT TRM) & MP(assumed to be 1.0), no source listed GDS Associates, Inc. Appendix C Page C-2 Date Filed: March 29, 2019 NS Power IR-41 Attachment 1 Page 19 of 36 Current Value (in Years, or Hours if indica...
AI summary The text provides information on the current value of residential measures, focusing on exterior lighting, with details on equipment life and measure persistence. It includes data from various utilities and studies, such as NG and PSNH, and references to the VT TRM and NS Power IR-41 Attachment 1.
ure - CFL unspecified numerous persistence and retention studies) EL(=20 [41] [42], rated lifetime of most ballasts is 40,000 hrs and most CFL bulbs is 10,000 hrs; using VT TRM LI MF: 20 Table A on p. 207 of VT TRM a more accurate lifetime...
AI summary The text discusses the rated lifetimes of various lighting fixtures and bulbs, referencing studies on persistence and retention. It includes data on ballasts, CFL bulbs, and different fixture types with their respective lifetimes and persistence values.
Current Value (in Years, or Hours if indicated) Basis and Documentation Source(s) May Vary by: Retail Store (RS), Retail Catalog (RC), Residential Measures Basis: Equipment Life (EL) or EL and Measure Persistence (EL&MP) Installed, Multifa...
AI summary The document provides information on the current value and lifespan of various residential heating measures, including burner replacement, ECM air furnaces, and furnace replacement, based on equipment life and measure persistence, with sources such as manufacturer data and studies.
Sku 15 numerous persistence and retention studies) Heating System replacement NG 20 EL and Measure Persistence [1] Heating System repair/service NG 5 HP flow/charge NG 18 EL and Measure Persistence [2] NG 25 EL and Measure Persistence [3]...
AI summary The text presents various energy efficiency measures with associated costs, including heating system replacement, repair, and pipe wrap, along with persistence and retention values from multiple sources such as EL, MP, CALMAC, DEER, and VT TPS. These values are used for evaluating the long-term effectiveness of the measures.
Current Value (in Years, or Hours if indicated) Basis and Documentation Source(s) Residential Measures May Vary by: Retail Store (RS), Retail Catalog (RC), Basis: Equipment Life (EL) or EL and Measure Persistence (EL&MP) Installed, Multifa...
AI summary The text outlines the current value and lifespan of residential cooling measures, including central AC replacements, with varying lifespans based on installation type and source data such as manufacturer's data, studies, and stipulated values. It references specific entities and studies, such as NG, VEIC, CT, and PSNH.
10 LI, SF, MF EL (=10 years) & MP(assumed to be 1.0); no source listed PSNH 12 [17] Programmable Thermostat EL(=12 [18] [20] [22]) & MP(persistence value not specified, however sources referenced included CALMAC 12 numerous persistence and...
AI summary The text presents data on energy efficiency programs, including programmable thermostats and water heater controls, with varying estimated lifespans and measure persistence values. Entities like PSNH, CALMAC, and DEER are referenced as sources. The data is part of a regulatory proceeding related to Nova Scotia Power's IR-41 attachment.
numerous persistence and retention studies) Low Flow Showerhead DEER 10 - EL(=10) [31] [34] [35] 9 9 VT TRM EL(=9 [41]) & MP(assumed to be 1.0) LI SF MF: 9 LI SF MF: 9 Room AC (turn-in) VT TPS 6 EL, turn-in measure so measure life divided...
AI summary The text presents data on measure persistence and retention for various energy efficiency programs, including low flow showerheads, room AC units, windows with sunscreen, and high efficiency ducts. It references studies and technical reference manuals such as DEER and VT TRM, and includes measure life values and assumptions about persistence.
[13] Residential Torchiere Assumptions, EPA Savings Calculator – Torchieres [14] Engineering estimate of wattage savings and annual hours use of 912.5 hours from October 1, 2004 Massachusetts, ME Rhode Island and Vermont Impact Evaluation...
AI summary The text references various energy efficiency programs and their associated assumptions, documentation, and data sources, including savings calculations, program lifetimes, and technical references from multiple states and organizations.
lighting operating hours by building type" table on page 56 of VT TRM [44]) & MP(assumed to be 1.0) Hardwired CFL PSNH 13 15 EL and Measure Persistence [1] CT-07 13 15 [48] EL(=10 [5]; 16 [4] [6] [8]) & MP(persistence value not specified,...
AI summary The text references various studies and data sources related to lighting operating hours by building type, including hardwired CFLs and LED exit signs, citing organizations like PSNH, CALMAC, and VT TPS, along with sources such as EL and Measure Persistence.
Current Value (in Years, or Basis and Documentation Source(s) C&I Measures Hours if indicated) Basis = Equipment Life Only or EL and Measure Persistence Sources: Manufacturer's data, studies, stipulated values, etc. Utility/Study Retrofit...
AI summary The document provides details on the expected lifespan (equipment life) and persistence of various energy efficiency measures for commercial and industrial (C&I) applications, including CFL lamps, delamping, and exit signs. The values are derived from manufacturer data, studies, and stipulated values from sources such as CALMAC and VT TPS.
VT TRM EL(=15; operating hours are collected from prescriptive application form or by using "operating HID Fixture (w/electronic ballast) 15 hours by building type" table on page 121 of VT TRM [44]) & MP(assumed to be 1.0) EL(=1.7 [4] [8])...
AI summary The text provides efficiency (EL) and measure persistence (MP) values for various lighting technologies and system modifications, referencing the Vermont Technical Reference Manual (VT TRM) and CALMAC studies. Persistence values are noted as not specified but referenced in multiple studies.
Current Value (in Years, or Basis and Documentation Source(s) C&I Measures Hours if indicated) Basis = Equipment Life Only or EL and Measure Persistence Sources: Manufacturer's data, studies, stipulated values, etc. Utility/Study Retrofit...
AI summary The text provides information on the current value, basis, and documentation sources for C&I measures, including delamp/reflectors and optical reflectors for retrofit and new construction. It references equipment life and measure persistence based on manufacturer data and studies.
ed, however sources Optical Reflectors 10 12 referenced included numerous persistence and retention studies) EL(=16) [17] [18] [36] & MP(persistence value not specified, however sources referenced Sku HID (interior) 16 included numerous pe...
AI summary The text discusses persistence and retention studies related to various lighting technologies, including optical reflectors, HID fixtures, and CFL bulbs, referencing studies and technical documents such as the VT TRM.
Current Value (in Years, or Basis and Documentation Source(s) C&I Measures Hours if indicated) Basis = Equipment Life Only or EL and Measure Persistence Sources: Manufacturer's data, studies, stipulated values, etc. Utility/Study Retrofit...
AI summary The document provides data on the expected lifespan and persistence of energy efficiency measures, specifically lighting controls and occupancy sensors, for commercial and industrial (C&I) applications. It includes information from various studies and sources, such as manufacturer data and stipulated values.
ure Persistence [1] CT-07 13 15 [48] EL(=15; operating hours are 800 cooling full load hours and 1600-2200 heating full load hours VT TRM 15 according to page 37 in VT TRM) & MP(assumed to be 1.0), no source listed NG 20 EL and Measure Per...
AI summary The text provides data on equipment efficiency, operating hours, and measure persistence, referencing various sources such as the VT TRM and manufacturer data. It includes details on cooling and heating full load hours, as well as equipment lifespans for chillers and other systems.
15 EL&MP, manufacturer data, studies [12] Heat Pump (hydronic) VT TPS 20 EL&MP, manufacturer data, studies [13] CT-07 20 [48] Solar Water Heating System VT TPS 15 EL&MP, manufacturer data, studies [14] CT-07 15 [48] Heat Recovery VT TPS 23...
AI summary The text lists various energy efficiency programs and technologies with associated data sources and studies, including heat pumps, solar water heating systems, and heat recovery systems. It references multiple organizations and studies, but no explicit arguments or positions are made.
Current Value (in Years, or Basis and Documentation Source(s) C&I Measures Hours if indicated) Basis = Equipment Life Only or EL and Measure Persistence Sources: Manufacturer's data, studies, stipulated values, etc. Utility/Study Retrofit...
AI summary The text provides details on the expected lifespan of various energy efficiency measures for commercial and industrial (C&I) applications, including water heaters, demand-controlled ventilation, and low-flow aerators, along with the sources of this information such as manufacturer data, studies, and stipulated values.
Current Value (in Years, or Basis and Documentation Source(s) C&I Measures Hours if indicated) Basis = Equipment Life Only or EL and Measure Persistence Sources: Manufacturer's data, studies, stipulated values, etc. Utility/Study Retrofit...
AI summary The document outlines the expected lifetimes and documentation sources for various energy efficiency measures, particularly focusing on motors and associated programs. It references studies, manufacturer data, and stipulated values to determine equipment life and measure persistence.
Current Value (in Years, or Basis and Documentation Source(s) C&I Measures Hours if indicated) Basis = Equipment Life Only or EL and Measure Persistence Sources: Manufacturer's data, studies, stipulated values, etc. Utility/Study Retrofit...
AI summary The document outlines the expected lifespan of various energy efficiency measures for commercial and industrial (C&I) applications, including refrigeration compressors and controls. Lifespans are based on equipment life and measure persistence, with sources including manufacturer data and studies. Different utilities and studies provide varying lifespans for similar measures.
pressor CT-07 13 15 [48] Refrigerated Air Dryer CT-07 13 15 [48] Measure life values may vary by type of installation (i.e., retrofit/early replacement, new construction/replace on burnout) GDS Associates, Inc. Appendix C Page C-19 Date Fi...
AI summary The document includes technical data on energy efficiency measures, such as the CT-07 conservation technology, and references a filing by GDS Associates, Inc. dated March 29, 2019, related to NS Power IR-41 Attachment 1.
Inventory Group, May 1994 [26] "Consortium for Energy Efficiency Residential Clothes W asher Initiative, 1996", revised 2002 by the DEER Consortium for Energy Efficiency DEER [27] US DOE Technical Brief: "Dem and (Tankless or Instantaneous...
AI summary The text lists various technical references and studies related to energy efficiency and demand-side management programs, including appliance recycling, energy savings algorithms, and useful life reports. These documents are cited in the context of energy management and efficiency initiatives.
ement for Electricity Efficiency and Conservation Activities between E1 and Nova Scotia Power Inc. (DSM 2020- 2022) M09096 (E-ENS-R-19) E1 Responses to Nova Scotia Power Inc. (NS Power) NON-CONFIDENTIAL 1 prepared by H. Gil Peach & Associa...
AI summary EfficiencyOne (E1) responds to Nova Scotia Power Inc. (NS Power) regarding the reliance on evaluated and verified LES results for reporting purposes. E1 states that Econoler's evaluations are within accepted industry frameworks and that uncertainty in EUL values is addressed through qualitative technical assessments.
ticed produces a systemic bias against DSM as compared with supply-side options. As a result, the test often fails to fairly reflect its intended “total” cost and benefit perspective. 3. Ratepayer Value: The TRC perspective itself is focus...
AI summary The text discusses limitations of the Total Resource Cost (TRC) methodology in evaluating Demand-Side Management (DSM) programs, highlighting biases against DSM compared to supply-side options, lack of consideration for ratepayer value, and potential conflicts with policy objectives. It notes that many leading DSM regions have moved toward alternative tests like the Program Administrator Cost (PAC) test.
8 Date Filed: March 29, 2019 NS Power IR-44 Attachment 1 Page 13 of 46 CONCERNS WITH THE CONVENTIONAL TRC INTRODUCTION The Total Resource Cost test is meant to measure cost-effectiveness from the perspective of consumers, writ large, i.e....
AI summary The document discusses concerns with the conventional Total Resource Cost (TRC) test, highlighting four key issues: accuracy of calculation, potential bias in neglecting benefits, lack of ratepayer value perspective, and possible policy conflicts. It also mentions innovative practices elsewhere.
nts found productivity benefits to exceed 120% the value of energy savings alone (Worrell, Laitner, Ruth, & Finman, 2001). Even residential lighting and appliances have been shown to generate NEB benefits that participants value at between...
AI summary The text discusses non-energy benefits (NEB) of energy efficiency programs, noting that participants value them significantly, sometimes exceeding energy savings alone. It also highlights market price premiums for energy-efficient homes in various regions, indicating that real estate markets value efficiency, though the TRC does not account for these benefits.
ate, which is commonly viewed as the government’s cost of borrowing?23 New York and many New England states use a societal discount rate within their own TRCs. SUMMARY OF NEB ISSUES Increasingly, non-energy benefits – especially those that...
AI summary Nova Scotia's current Total Resource Cost (TRC) does not account for non-energy benefits, creating a bias against Demand-Side Management (DSM). Other regions have modified their TRC to include non-energy benefits or adopted different tests, such as the Modified TRC. This omission affects the evaluation of DSM programs and their overall impact on participants and society.
osts and not just program costs, it may arguably be an unfair measure by which to compare options. This is noted in the California Standard Practice Manual’s own discussion of the TRC: “In addition, the costs of the DSM ‘resource’ in the T...
AI summary The text discusses the limitations of the Total Resource Cost (TRC) in evaluating Demand-Side Management (DSM) programs, noting that it may unfairly compare options by including participant costs, unlike supply-side resources. It also highlights that TRC may distort savings opportunities due to varying consumer value. Nova Scotia uses TRC for DSM screening, but the Program Administrator Cost (PAC) test is the only one reflecting utility least-cost procurement.
e a recurring focus on such measures as deep envelope retrofits, solar hot water, and advanced construction techniques, among others, needed to secure deeper, long-term energy savings. This is not a theoretical issue. In fact, we are incre...
AI summary The text discusses the need for deep energy-saving measures such as envelope retrofits and solar hot water to achieve long-term savings. It highlights the tension between policy goals and cost-effectiveness tests in determining which demand-side management (DSM) measures to prioritize. An example from British Columbia is provided, where a legislated savings target exceeded TRC cost-effectiveness benchmarks.
22 Date Filed: March 29, 2019 NS Power IR-44 Attachment 1 Page 27 of 46 In Nova Scotia, this is not yet an important concern in that specific electric DSM goals are based on an assessment of the potential for cost-effective DSM, and not on...
AI summary Nova Scotia's DSM goals are based on cost-effective assessments rather than legislated targets. The Electricity Efficiency and Conservation Restructuring (2014) Act emphasizes least-cost procurement, aligning with the PAC test rather than the TRC. The use of the TRC for screening DSM was inconsistent with this policy, and the framework was modified in December 2011.
the corresponding guidelines recently developed by the National Efficiency Screening Project and adopted by the Northeast Energy Efficiency Partnerships’ EM&V Forum – for Nova Scotia. Fig. 7. Overview of Concerns & Implications for Nova Sc...
AI summary The text discusses concerns related to the accuracy and bias in the Total Resource Cost (TRC) methodology, emphasizing the need for transparency and the inclusion of non-energy benefits. It references guidelines from the National Efficiency Screening Project (NESP) and the Northeast Energy Efficiency Partnerships’ EM&V Forum, suggesting a shift to the Potential Annual Cost (PAC) test for better symmetry and vetting.
d 28 accepted as Performance Targets. Incremental Energy and Demand savings were 29 first proposed and accepted as Performance Targets for the purposes of the 2015 Date Filed: March 29, 2019 E1 (NS Power) IR-46 Page 1 of 2 EfficiencyOne –...
AI summary The document discusses the use of Performance Targets in DSM planning, referencing the 2015 DSM Resource Plan and the tracking of Lifetime Energy Savings (LES). It highlights the importance of metrics in planning and implementation and notes the potential impact of future regulatory changes on LES thresholds and evaluation treatment.
ement for Electricity Efficiency and Conservation Activities between E1 and Nova Scotia Power Inc. (DSM 2020- 2022) M09096 (E-ENS-R-19) E1 Responses to Nova Scotia Power Inc. (NS Power) 1 Request IR-69: 2 3 Reference: Appendix D, Direct Ev...
AI summary The document contains a request for a study conducted by Synapse Energy Economics on behalf of Vermont Energy Investment Corporation (VEIC) regarding the benefits of efficiency programs. Dr. David Hill provided a response, noting that the study was completed in 2018 and included slide decks and conference calls between Synapse and VEIC.
E-52018 DSM Evaluation Reports
232 passages
DEFINITIONS Accuracy Reflects the proximity of measurements to the true value. Adjustment ratio The ratio of evaluated results to tracked results. This ratio expresses the adjustment made to tracked savings or other tracked values such as...
AI summary The document defines key terms and concepts related to energy efficiency, measurement accuracy, and evaluation methodologies. It includes definitions such as accuracy, adjustment ratio, base case, bias, billing calibration, confidence interval, displaced wattage, EnerGuide rating, effective useful life, equivalent CO2, and equivalent effective useful life.
2.6 Billing Analysis Billing analyses were used for two purposes in 2018. For Green Heat, a billing analysis was conducted again with participants who had a centrally ducted air-source heat pump installed in previous years to establish the...
AI summary In 2018, two billing analyses were conducted: one for Green Heat participants with air-source heat pumps (inconclusive due to data issues) and another for Home Energy Assessment participants to calibrate HOT2000 software. The latter improved accuracy for energy consumption calculations in Home Energy Assessment and New Home Construction programs.
2.7 Simulation Model Review Simulation model reviews were performed for four New Construction projects completed in 2018 to thoroughly verify the accuracy of energy models. This activity involved reviewing simulation models against as-buil...
AI summary Simulation model reviews were conducted for four New Construction projects in 2018 to verify energy model accuracy against as-built drawings, documentation, and on-site verification results. Adjusted models were used to calculate evaluated savings.
Efficient Product Installation In 2018, Efficient Product Installation achieved 12.777 GWh in net electrical savings and 1.463 MW in net peak demand savings. In total, 10,813 households participated in Efficient Product Installation in 201...
AI summary In 2018, the Efficient Product Installation program achieved 12.777 GWh in net electrical savings and 1.463 MW in net peak demand savings, with 10,813 households participating. Participation declined due to fewer potential participants, but ENS offered incentives like free clotheslines and LED holiday lights to encourage participation. Savings were slightly lower than tracked values due to adjustments in unitary savings and NTGR.
Table 16: Recommendations on Residential Program Components No. Recommendation ARet-R1. Continue to perform the metering activity and ensure the metering protocol is followed. In the 2017 evaluation, the Evaluator recommended continuing th...
AI summary The table recommends continuing the metering activity in residential programs to improve data accuracy, particularly by following the metering protocol and ensuring controlled temperature environments for accurate appliance consumption measurements.
Executive Summary – Appendix Report Program Components Bibliographic References NOVA SCOTIA POWER. Total System Emissions, https://www.nspower.ca/en/home/about us/environmental-commitment/air-emissions-reporting/total-system-emissions-all-...
AI summary The document provides a list of bibliographic references and citations related to energy efficiency, heating systems, and emissions in Nova Scotia. It includes references to Nova Scotia Power, Energy Nova Scotia, and various studies and reports on energy efficiency programs and technologies.
Program Components Bibliographic References Estimating Net Savings: Common Practices, September 2014, p. 3, available at http://energy.gov/sites/prod/files/2015/02/f19/UMPChapter23-estimating-net-savings_0.pdf Custom (Last accessed Novembe...
AI summary The text lists bibliographic references for program components related to energy efficiency practices and evaluations, including reports and studies on retrocommissioning, lighting and HVAC interactions, and energy savings measurement protocols.
Program Components Bibliographic References Small Business Energy Solutions DATABASE FOR ENERGY EFFICIENCY RESOURCES (DEER). DEER 2014 EUL TABLE, 2014. EMERA INC., "Management's Discussion & Analysis as at February 9, 2018", http://investo...
AI summary The text provides bibliographic references related to the Small Business Energy Solutions program, including sources such as the Database for Energy Efficiency Resources (DEER), EMERA Inc.'s Management Discussion and Analysis, the National Renewable Energy Laboratory's Uniform Methods Project, and Nova Scotia Power's Total System Emissions report.
Calculation of the Margin of Error The margin of error of the LED lamps' installation rate was established by using the following formula, which applies to samples drawn from an infinite population (defined as being at least 10 times large...
AI summary The margin of error for the LED lamps' installation rate was calculated using a formula involving weighted standard deviation and a coefficient. The result was ±1.3%, determined specifically for EPI in the 2018 evaluation.
Margin of Error of the Adjustment Ratios What follows is a description of the steps followed to calculate the margin of error for the adjustment ratio applied to energy savings, using the example of lighting measures from the 2017 BER Mail...
AI summary This section outlines the process for calculating the margin of error for the adjustment ratio applied to energy savings, using the example of lighting measures from the 2017 BER Mail-In evaluation.
Calculation of the Weighted Standard Deviation Since the overall adjustment ratio is based on a weighted average, the Evaluator also used the weighted standard deviation of the adjustment ratio for the calculation instead of the standard d...
AI summary The weighted standard deviation of the adjustment ratio for energy savings was calculated using a specific formula, resulting in a value of 0.360 for lighting measures. This approach was used instead of the standard deviation to account for the weighted average of the adjustment ratio.
Margin of Error for Measured Energy Consumption The Evaluator used the margin of error calculation of the unitary savings value established for mini-split heat pumps (MSHPs) installed through Green Heat in fully electrically heated househo...
AI summary The Evaluator calculated the margin of error for measured energy consumption using the unitary savings value of mini-split heat pumps (MSHPs) installed through Green Heat in fully electrically heated households in 2017. This methodology was used to determine the margins of error for metered results.
Calculation of the Average of Unitary Savings Values The simple average was calculated by using the following formula: $$Average\ Unitary\ Savings = \frac{\sum_{i=1}^{N} Unitary\ Savings_{i}}{N} = 0.179 \frac{kWh}{Btu/h}$$ Where N is the n...
AI summary The average unitary savings value was calculated using a simple average formula, resulting in 0.179 kWh/Btu/h. This value was determined based on data from fully electrically heated participating households.
The evaluated gross energy savings are 3 percent higher than the tracked gross energy savings. This slight difference is mainly due to the increase in gross unitary savings associated with LED A-type lamps and LED R, BR and decorative lamp...
AI summary The evaluated gross and net energy savings are higher than the tracked savings, primarily due to increased unitary savings from LED lamps and a higher spillover level in the 2018 NTGR compared to 2017. This resulted in a 3% increase in gross energy savings and a 10% increase in net energy savings.
Instant Savings Recommendations The evaluation revealed that Instant Savings again succeeded to achieve high levels of participation and savings in 2018. Some indicators such as low LED prices and a slight decrease in A-type LED lamp sales...
AI summary The 2018 Instant Savings program achieved high participation and savings, but A-type LED lamps have reached market maturity, leading to the removal of rebates in 2019. Challenges include diversifying product offerings and monitoring LED market indicators to stay informed about market changes.
4.2 Calculation Methodology The ARet impact evaluation was conducted using the savings calculation methodology developed for the 2013 evaluation to comply with the general guidelines of the Uniform Methods Project (UMP) for refrigerator re...
AI summary The ARet impact evaluation uses a methodology developed for the 2013 evaluation, aligned with the Uniform Methods Project (UMP) guidelines. However, the methodology was adjusted due to updates in the UMP, specifically the removal of induced consumption calculations. The evaluation includes factors such as part-use, free-ridership, and secondary market impact, and uses tracked savings values from 2017.
Appliance Type Metered Energy Consumption (kWh) Occupant Adjustment Factor Part-Use Factor Gross Unitary Savings (kWh) Net Unitary Savings (kWh) Ratio of Net to Gross Participant Spillover Equivalent NTGR Refrigerators 828 1.12 0.81 751 41...
AI summary The document presents a table summarizing energy consumption and savings data for various appliance types, including refrigerators, freezers, air conditioners, and small fridges. The Evaluator updated tracked savings values using a methodology similar to that used in the previous five evaluations, relying on 2017 metering results and 2018 survey data to calculate energy consumption and savings.
4.6 Small Appliance Retirement This subsection summarizes the main parameters used to determine the unitary savings of small refrigerators and small freezers retired through ARet in 2018. 12 NRCan's Office of Energy Efficiency. Air Conditi...
AI summary This subsection discusses the parameters used to determine the unitary savings of small refrigerators and freezers retired through ARet in 2018. The Evaluator updated key parameters, including a part-use factor of 0.42, based on participant responses about appliance usage patterns.
Residential Efficient Product Rebates Program Efficiency Nova Scotia 2018 DSM Evaluation Report Net Energy Savings = Gross Energy Savings × NTGRequiv Overall, the total net energy and net peak demand savings for ARet amounted to 2.657 GWh...
AI summary The 2018 DSM Evaluation Report discusses the Residential Efficient Product Rebates Program and Appliance Retirement (ARET) results, showing net energy savings of 2.657 GWh and 0.378 MW, leading to 1,628 tonnes of avoided CO2 eq annually. The report uses Nova Scotia Power's 2017 emissions data to calculate GHG savings.
7 INSTANT SAVINGS EVALUATION OBJECTIVES AND METHODOLOGY The main objectives of the Instant Savings evaluation are as follows: - › Reporting on participant and partner perspectives - › Calculating program results, namely electrical first-ye...
AI summary The Instant Savings evaluation aims to report on participant and partner perspectives, calculate program results such as energy savings and GHG emissions, and analyze the market evolution of LED lamps. The methodology involved reviewing documentation, meeting with the program manager, and preparing data-collection instruments.
9.1.2 Peak Demand Savings Peak demand savings correspond to the demand savings that coincide in time with the peak demand of the electricity system. The projected electricity peak demand period in Nova Scotia is between 5 p.m. and 7 p.m. f...
AI summary The document discusses methods for calculating peak demand savings for various energy efficiency products in Nova Scotia. It references the Navigant ratios from the 2016-2018 DSM Plan, with exceptions for certain products like lighting, outdoor motion sensors, clotheslines, and room air purifiers, each with specific assumptions and ratios applied.
Environment Survey, Primary Heating System, Canada, Provinces and Census Metropolitan Areas , 2015, CANSIM, November 1, 2018. 27 ADS ASSOCIÉS, Évaluations des effets énergétiques combinés des mesures d'économies d'énergie – résidence unifa...
AI summary The text discusses the interactive effects of energy-efficient lighting products, particularly LED lamps and fixtures, when installed indoors versus outdoors. It references studies and data from Nova Scotia to adjust factors for these effects, including the use of the 2016 Socket Study and tracking sheets from the Instant Savings program.
9.1.4 Effective Useful Life As part of the 2018 evaluation, the Evaluator reviewed the EUL values used by ENS in the calculation of energy savings that are expected to persist over time. Except for smart thermostats introduced to Instant S...
AI summary The document discusses the evaluation of effective useful life (EUL) values for energy-saving products, particularly LED lamps and fixtures, as part of the 2018 assessment. The EUL values were updated based on the 2017 methodology, with a focus on how increased baselines during the lifetime of LED products affect their EUL. The revised EUL values are used to calculate gross and net lifetime energy savings.
The Evaluator calculated the annual gross savings based on the revised unitary savings values established for each product sold in 2018. The results are presented in Table 39 further below. Table 39 also presents the gross savings at the g...
AI summary The Evaluator calculated annual gross savings based on revised unitary savings values for products sold in 2018. Table 39 presents these results, including gross energy savings at the generator, estimated using a line loss factor of 1.100 provided by NSP. The gross energy savings at the generator were 24.262 GWh, translating into 208.193 GWh in lifetime savings with a weighted average EUL of 8.6 years.
12 OVERALL SAVINGS OF THE RESIDENTIAL EFFICIENT PRODUCT PROGRAM Table 46 summarizes the participation levels, as well as gross and net savings for each Residential Efficient Product Rebates program component and the whole program.
AI summary Table 46 summarizes participation levels and gross and net savings for each component of the Residential Efficient Product Rebates program, as well as the overall program.
All freezers were considered as primary; this means that they were all assumed to have had the same level of use. Therefore, only one part-use factor value was calculated for freezers, based on the results of the 2018 participant survey. T...
AI summary The analysis assumes all freezers are used equally, calculating a single part-use factor based on a 2018 survey. Participants reported the number of months per year their freezers were in use, leading to a weighted average calculation detailed in Table 14.
Hours of Operation In the 2017 evaluation, the Evaluator used the annual hours of operation of room air conditioners found through the literature review of the 2015 evaluation; that literature review compared different studies about climat...
AI summary The document discusses the evaluation of annual hours of operation for room air conditioners in Nova Scotia, relying on data from the NRCan EnerGuide Room Air Conditioner Directory and adjusting for regional differences using participant data from 2018. The weighted average hours of operation across the province were calculated as 328 hours.
Table 26: Calculation of Part-use Factors for Small Appliances Level of Use Proportion Part-use Factor Not in use 32% 0.00 Used part-time 47% 0.45 Used full-time 21% 1.00 Total 100% 0.42 The weighted average part-use factor of 0.42 is lowe...
AI summary Table 26 presents the calculation of part-use factors for small appliances, showing a weighted average of 0.42, lower than the 2016 value due to changes in survey responses regarding appliance usage patterns.
Hours of Operation The value for the daily hours of operation is based on the Northeast Residential Lighting Hours-of-Use Study (NERHOU) 27 study, which found that the average usage is 2.9 hours per day for efficient bulbs without the snap...
AI summary The document discusses the determination of daily hours of operation for efficient lighting based on studies, including the NERHOU study and a metering study conducted by the Evaluator. The NERHOU study's findings are preferred due to their larger scale and alignment with the Evaluator's results.
Parameter Entertainment Centre Computer System Lighting Other Proportion 40.3% 15.7% 19.4% 24.6% Average Standby Wattage 38.1 W 28 W 60 W 28 W Old Operating Time 9 h/day 14 h/day 6 h/day 11 h/day New Operating Time – with Timer 5 h/day 8 h...
AI summary The table presents energy consumption data for different devices, including the proportion of usage, average standby wattage, operating time, and calculated unitary savings. The data highlights the potential energy savings from using load sensing power bars (smart strips).
Efficient Refrigerators For efficient refrigerators, the unitary savings value is determined by comparing the standard and efficient refrigerator energy consumption values. As part of the 2018 evaluation, the Evaluator selected the 10 most...
AI summary The unitary savings value for efficient refrigerators is calculated by comparing the energy consumption of standard and efficient models. Based on 2018 data, the weighted average energy consumption of efficient refrigerators was 394 kWh, while standard refrigerators averaged 439 kWh, resulting in an estimated savings of 45 kWh per year.
Efficient Clothes Washers For efficient clothes washers, the unitary savings value was determined by comparing the standard and efficient clothes washer annual energy consumption values. These energy consumption values were determined by u...
AI summary The document evaluates the energy efficiency of clothes washers by comparing standard and efficient models using the Integrated Modified Energy Factor (IMEF) and capacity. The analysis calculates annual energy consumption for both types of washers based on 290 loads per year and determines the unitary savings value. The evaluation uses data from ENERGY STAR and Natural Resources Canada to establish consumption values and highlights that hot and cold water usage was not considered in the initial calculations.
APPENDIX XI IS: DETAILED CALCULATIONS OF EQUIVALENT EFFECTIVE USEFUL LIFE FOR LED LAMPS AND FIXTURES This appendix presents the details on how the equivalent effective useful life (EUL) values of LED lamps and fixtures were calculated, wit...
AI summary This appendix details the calculation of equivalent effective useful life (EUL) for LED lamps and fixtures, considering changes in Canadian regulations. The methodology from the 2017 DSM Evaluation Report is used, with the first year adjusted to 2018. The regulation change in 2024 is expected to increase baseline wattages for LED lamps and fixtures offered through Instant Savings.
Table 48: Equivalent Effective Useful Life Calculation Summary for LED Non-A-type Lamps (Excluding R, BR and Decorative Lamps) Average Replaced Average Wattage of Efficient Lamp Halogen Incandescent Baseline – Canadian Legislation 6 Years...
AI summary The table summarizes the equivalent effective useful life (EUL) calculation for LED non-A-type lamps, comparing halogen incandescent and CFL equivalents based on legislation and energy savings. The data highlights energy savings and EUL over different periods.
DEFINITIONS Accuracy Reflects the proximity of measurements to the true value. Adjustment ratio The ratio of evaluated results to tracked results. This ratio expresses the adjustment made to tracked savings or other tracked values such as...
AI summary The text defines several key terms used in energy efficiency and measurement, including accuracy, adjustment ratio, base case, bias, billing calibration, confidence interval, and displaced wattage. These definitions provide clarity on methodologies used to evaluate energy savings and performance.
Table 1: Overall Participation and Savings for Existing Residential Participation Level Gross Savings NTGR Net Savings HEA Energy Savings 6.366 GWh 0.90 5.724 GWh Lifetime Energy Savings 2 791 participants 127.258 GWh 0.90 114.488 GWh Peak...
AI summary Table 1 provides an overview of participation levels and energy savings from various residential programs in Nova Scotia, including Home Energy Assessments, Green Heat, and Efficient Product Installation. It highlights gross and net savings in terms of energy consumption and peak demand reduction.
HEA Performance HEA aimed to achieve 7.5 GWh in net electrical energy savings and 2.1 MW in net peak demand savings at the generator in 2018. The Evaluator determined that HEA achieved 5.724 GWh in net electrical energy savings and 1.600 M...
AI summary The Home Energy Assessment (HEA) program achieved 5.724 GWh in net electrical energy savings and 1.600 MW in net peak demand savings in 2018, with 791 participants. Savings decreased compared to 2015 due to the removal of provincial funding for non-electrically heated households. However, net energy savings per participant increased due to changes in eligible measures and billing analysis. Non-electrically heated households were reintroduced in 2018 with federal funding, though impacts are yet to be observed.
Green Heat Performance Green Heat aimed to achieve 3.7 GWh in net electrical energy savings and 3.8 MW in net peak demand savings at the generator in 2018. The Evaluator determined that Green Heat achieved 4.227 GWh in net electrical energ...
AI summary Green Heat achieved significant energy and peak demand savings in 2018, with 4.227 GWh in net electrical energy savings and 4.042 MW in net peak demand savings. Participation increased due to factors like removal of pre-approval processes and marketing efforts. Most installations were MSHPs, and participants were satisfied with the program and equipment quality.
Table 7: Comparison of EPI Tracked and Evaluated Savings at the Generator Initial Gross Savings Adjusted Gross Savings NTGR Net Savings Energy Savings ENS Tracked Savings 16.093 GWh 14.468 GWh 0.93 13.480 GWh Evaluation Results 15.914 GWh...
AI summary Table 7 compares EPI tracked and evaluated savings at the generator, showing that evaluated net energy savings are 5% lower than tracked net energy savings. The differences are attributed to small decreases in installation rates and NTGR values, as well as unitary savings adjustments.
Billing Analysis As part of the 2018 evaluation, a billing analysis was conducted to revise the OR used since the last billing analysis conducted as part of the 2015 evaluation. The new billing analysis served to compare each participant's...
AI summary A billing analysis was conducted as part of the 2018 evaluation to revise the overestimation ratio (OR) used since the 2015 evaluation. The analysis compared participants' electricity billing consumption with HOT2000 simulation models. Methodology details are found in the Impact Evaluation section and Appendix II.
3.1 On-site Visits and Simulation Reviews As part of the 2018 evaluation, the Evaluator conducted on-site visits and reviewed the simulation files of ten projects selected among those that generated electrical savings and completed both a...
AI summary The 2018 evaluation involved on-site visits and simulation reviews of ten projects to assess the completeness and accuracy of data collected through DCFs and simulation files. The review protocol was enhanced based on the updated EnerGuide Rating System (version 15), which requires more detailed on-site data collection.
HVAC Equipment The EnerGuide Rating System (version 15) includes enhanced specifications for HVAC equipment. The protocol describes in greater detail which data must be collected to provide a more standardized home assessment, especially w...
AI summary The EnerGuide Rating System version 15 includes enhanced specifications for HVAC equipment, improving standardized home assessments. Review of ten files identified 16 errors related to HVAC equipment, with some having a significant impact on energy consumption. Issues included failure to record non-functional equipment, incorrect SEER values, and incomplete modelling of heating systems. Errors in HRV flow rate calibration also occurred, though their impact was limited.
3.2 Gross Savings Gross savings correspond to the change in energy consumption resulting from the building envelope measures, space heating measures as well as DHW measures implemented by HEA participants, regardless of why they participat...
AI summary Gross savings refer to the change in energy consumption from building envelope, space heating, and DHW measures implemented by HEA participants. The Evaluator adjusted tracked savings calculations for solar DHWs and HPWHs to ensure consistency between tracked and revised savings.
Table 11: HEA Eligible Energy Efficiency Upgrades Eligible HEA Upgrade Measures HOT2000 Energy Consumption Modelling Used to Calculate Savings Implementation Rate (%) Yes No Building Envelope Measures Attic Insulation x Cathedral Ceiling I...
AI summary Table 11 outlines eligible Home Energy Assessment (HEA) upgrades and their implementation rates in Nova Scotia. It details various building envelope measures, space heating equipment, and domestic water heating equipment, with some measures having high implementation rates and others showing low or zero adoption.
3.2.2 Building Envelope and Space Heating Savings Calculated in HOT2000 Savings for the building envelope and space heating measures were calculated using the following equation: ൌ ሻܹ݄݇ሺ ݏ݅݊݃ݒܵܽ ݅݊݃ݐ݁ܽܪ ܽܿ݁ܵ ݏݏݎܩ $$\frac{\left[\left(ESHEC_...
AI summary The building envelope and space heating savings were calculated using a specific equation involving ESHEC values and an overestimation ratio (OR) for different scenarios (D and E), with the result converted from MJ to kWh.
Where: - › Electrical space heating energy consumption (ESHEC) is obtained from HOT2000 (for the D and E assessments) - › OR is used to adjust the modelled energy consumption (according to the space heating system in place during the D and...
AI summary The document outlines the methodology for calculating energy savings using the Electrical Space Heating Energy Consumption (ESHEC) metric derived from HOT2000 software. It discusses the use of an Overestimation Ratio (OR) to adjust modelled energy consumption and the transition from a single OR in 2017 to distinct ORs based on heating systems in the 2018 evaluation. The calculation also accounts for fuel switching and the distribution of savings between DSM and PNS funded programs.
The Overestimation Ratio As illustrated in the space heating savings equation, ORs are used to adjust the modelled space heating consumption values generated by HOT2000 because it tends to overestimate savings. The ORs are obtained by comp...
AI summary The Overestimation Ratio (OR) is used to adjust space heating consumption values generated by HOT2000, as it tends to overestimate savings. Billing analyses in 2015 and 2018 revealed that heat pump installations had a more significant impact on ORs than the version of HOT2000. Three distinct ORs were calculated based on whether participants had heat pumps installed or not, and the OR used for tracked savings calculation was 16% for all scenarios.
3.2.3 Wood, Pellet and Solar Air Equipment Savings Wood, pellet, and solar air space heating equipment is not simulated in HOT2000. Since these types of equipment are also offered under Green Heat, the Evaluator relied on the results of th...
AI summary The document discusses the lack of simulation for wood, pellet, and solar air space heating equipment in HOT2000 and reliance on previous evaluations for savings values. Solar air equipment was not installed under HEA or Green Heat in 2018, so no savings value was established for it.
3.2.4 Domestic Hot Water Savings Savings for DHW measures are calculated using a unitary savings value specific to each type of measure implemented. The Evaluator established unitary savings for the small number of DHW measures implemented...
AI summary The document discusses the calculation of energy savings for domestic hot water (DHW) measures, emphasizing the use of unitary savings values over simulation results from HOT2000 software due to inaccuracies in modeling DHW energy consumption. The Evaluator reviewed these values, and the annual average COP formula provided by Natural Resources Canada is referenced.
Drain Water Heat Recovery ENS uses a unitary savings value of 805 kWh per year for DWHR. This value was determined in the 2017 evaluation using the online calculator from the Centre for Energy Advancement through Technology Innovation,11 w...
AI summary ENS uses a unitary savings value of 805 kWh per year for Drain Water Heat Recovery (DWHR) systems, calculated using data from the 2017 HEA participant survey and the Centre for Energy Advancement through Technology Innovation's online calculator. This value remains unchanged for 2018 despite no installations under HEA that year.
3.2.7 Effective Useful Life For the 2018 evaluation, the Evaluator relied on equivalent effective useful life (EUL) values established through a thorough literature review conducted as part of the 2017 evaluation. These values remained val...
AI summary The 2018 evaluation used equivalent effective useful life (EUL) values from the 2017 evaluation, which were deemed adequate. The Evaluator did not change the EUL values but recalculated the lifetime savings per unit using 2018 unitary savings values.
Table 15: HEA Equivalent Effective Useful Life Values Measure Tracked Equivalent EUL (Years) Revised Equivalent EUL (Years) Revised Lifetime Gross Energy Savings per Unit (kWh) Space Heating Equipment Building Envelope Space heating Equipm...
AI summary Table 15 presents HEA Equivalent Effective Useful Life (EUL) values for various energy efficiency measures, including space heating equipment, drain water heat recovery equipment, and solar domestic hot water systems. The EUL for building envelope measures and space heating equipment was established in 2018 and remains unchanged.
3.2.8 Revised Gross Savings The annual gross savings at the generator are presented in Table 16 further below. Overall, the annual gross energy and peak demand savings at the generator amounted to 6.366 GWh and 1.800 MW respectively, which...
AI summary The annual gross energy and peak demand savings at the generator are reported as 6.366 GWh and 1.800 MW, respectively, with a total lifetime energy savings of 127.258 GWh. The weighted average EUL value for gross energy savings is 20.0 years, calculated using a line loss factor of 1.099, derived from HEA participants' rate codes.
3.4 Unconverted D Assessment Spillover Since the 2014 evaluation, another spillover effect associated with unconverted D assessment savings has been considered. This effect corresponds to the savings associated with those measures implemen...
AI summary This section discusses the unconverted D assessment spillover effect, which includes energy savings from participants who did not complete an E assessment within the 12-month period. Data from 2016 and 2018 evaluations show that 54% of expired participants installed upgrades, with an average electrical savings of 2,283 kWh per participant. In 2018, total spillover savings were estimated at 0.836 GWh and 0.236 MW.
Table 19: Unconverted D Assessment Spillover 2018 Results Total Number of Unconverted D Assessment Participants 679 Ratio of Unconverted D Assessment Participants Who Implemented At least One Measure 54% Total Number of Unconverted D Asses...
AI summary Table 19 provides data on the Unconverted D Assessment Spillover from 2018, including the number of participants, implementation rates, energy savings, and peak demand savings. Section 3.5 discusses Green Heat Savings Deductions, indicating a focus on energy efficiency and savings related to heating systems.
Table 20: Evaluated Net Energy and Peak Demand Savings for HEA Savings Total Energy Savings Revised Gross Energy Savings – at the Meter (GWh) 5.792 NTGR 0.76 Unconverted D Assessment Spillover Energy Savings – at the Meter (GWh) 0.836 Net...
AI summary Table 20 evaluates the net energy and peak demand savings from the Home Energy Assistance (HEA) program, including gross savings, adjustments, deductions, and lifetime impacts. It highlights energy and peak demand savings at both the meter and generator levels, with a focus on the effective useful life and line loss factors.
14 At the time of writing, 2018 data was not available. The Nova Scotia-specific factor was obtained from NSP's 2017 total system emissions data (6,725,126 CO2 eq tonnes), and total electricity generation (10,978 GWh) from the following tw...
AI summary The document discusses the calculation of a Nova Scotia-specific factor using 2017 data from NSP on total system emissions and electricity generation. It also references a table comparing energy and peak demand savings from the 2018 evaluation and tracking sheet calculations.
4 HEA RECOMMENDATIONS The 2018 evaluation revealed that HEA succeeded in achieving significant net and peak demand energy savings, although at lower levels than in previous years. Significant changes to HEA occurred in the second half of 2...
AI summary The 2018 evaluation of the Home Energy Assistance (HEA) program showed significant but lower-than-previous energy savings. Changes in 2018, such as reinstating funding for non-electrically heated households and revising incentive structures, were too recent to show impacts in the 2018 evaluation. The Evaluator recommends conducting a billing analysis to evaluate overestimation ratios and the impact of different HOT2000 versions on energy savings.
8.1.2 Summary of Savings Values To review Green Heat unitary savings, the Evaluator conducted on-site visits for biomass, heat pump, and solar measures, performed a billing analysis for ASHPs and a literature review for all other measures,...
AI summary The Evaluator reviewed Green Heat unitary savings through on-site visits, billing analysis, and literature reviews, with detailed results in Appendix VIII. Tables 26 and 27 show revised savings values for various measures, excluding solar DHW and solar air heating, which rely on simulations. Peak demand savings were calculated based on the coldest days between December and February.
Table 26: Tracked and Revised Unitary Savings Values for Biomass and DHW Measures Measure Unitary Energy Savings (kWh) Unitary Peak Demand Savings (kW) Tracked Revised Tracked Revised Wood Stove with Electrical Resistance Baseline 10,443 N...
AI summary The document presents tables detailing tracked and revised unitary savings values for biomass and DHW measures, highlighting changes in HPWHs and discrepancies in MSHPs due to outdated values from the 2016 Evaluation Report. These revisions aim to improve accuracy in energy savings calculations.
8.1.4 Effective Useful Life For the 2018 evaluation, the Evaluator relied on equivalent EUL values established through a thorough literature review conducted as part of the 2017 evaluation. The Evaluator also validated that ENS correctly a...
AI summary The 2018 evaluation used equivalent EUL values from the 2017 evaluation, validated by ENS. Table 28 shows the tracked and revised EUL values applied to calculate gross and net lifetime energy savings, leading to differences in weighted average EUL values.
8.1.5 Revised Gross Savings The annual gross savings for each category of equipment installed through Green Heat in 2018 are listed below in Table 29. Overall, the total gross electrical energy and peak demand savings amounted to 9.078 GWh...
AI summary The annual gross savings from equipment installed through the Green Heat Program in 2018 are detailed, with total electrical energy and peak demand savings of 9.078 GWh and 8.647 MW respectively. Lifetime savings are estimated at 163.749 GWh, with a weighted average EUL value of 18.04 years.
Table 29: Revised Gross Energy and Peak Demand Savings for Green Heat Me Ca te as ur e g or y W d S to oo ve Pe l le S t to ve W d Fu / oo rn ac e Bo i le r Pe l le Fu / t rn ac e Bo i le r So la D H W r H P W H En Sa in er g y v g s Nu be...
AI summary Table 29 presents revised gross energy and peak demand savings for the Green Heat Program, including data on units, energy savings, and adjustment ratios for different categories such as Wood Stove, Fuel/Boiler, and Solar DHW.
20 This value represents the average unitary savings value, accounting for a combination of pellet stoves with electrical resistance baseline and ASHP baseline.
AI summary This value represents the average unitary savings value, accounting for a combination of pellet stoves with electrical resistance baseline and ASHP baseline.
Revised Gross Energy and Peak Demand Savings for Green Heat (Continued) Ca Me te as ur e g or y M S H P – Fu l ly E le ic l tr c a M S H P – in M ly a E le ic l tr c a M S H P No n – le ica l tr e c A d A S H P an W H P – E le ic l tr c a...
AI summary The document presents revised gross energy and peak demand savings data for the Green Heat Program, including figures for various categories such as fully electric, partially electric, and non-electric technologies, as well as adjusted ratios for energy savings.
13.1 Gross Savings For EPI, gross savings correspond to the change in energy consumption resulting from installing the energy efficient products in participants' homes, regardless of why they participated.43 The Evaluator revised the gross...
AI summary The document discusses the calculation of gross savings for the Efficient Product Installation (EPI) program, focusing on energy consumption changes from installing energy-efficient products. The Evaluator revised methods for tracking savings, using values from the 2017 evaluation and adjusting calculations for LED lamps and fixtures.
13.1.1 Unitary Savings Values The Evaluator reviewed the unitary savings values used in the tracking sheet for each product installed through EPI in 2018. For this program component, ENS establishes separate unitary savings values for sing...
AI summary The Evaluator reviewed and revised unitary savings values for products installed through EPI in 2018, including adjustments to DHW products and updates based on a more recent study. Lighting product values were found valid, and new products like retractable clotheslines and LED lamps were evaluated for their energy savings.
13.1.3 Peak Demand Savings Peak demand savings correspond to the demand savings that coincide in time with the peak demand of the electricity system. The projected electricity demand peak period in Nova Scotia is between 5 p.m. and 7 p.m....
AI summary Peak demand savings are calculated based on the timing of electricity demand during peak periods in Nova Scotia, specifically between 5 p.m. and 7 p.m. in December to February. The Evaluator used various studies and ratios, including those from the 2016-2018 DSM Plan and the Residential Lighting Metering Study, to determine peak demand-to-energy ratios for different product categories such as DHW products, lighting, and LED holiday lights.
Lighting Products The interactive effects factors used by ENS for energy savings are based on a methodology developed by the Evaluator in 2015 and are still valid for 2018. As for peak demand savings, the Evaluator adjusted the methodology...
AI summary The Evaluator updated the interactive effects factors for LED lighting products in 2018, adjusting peak demand-to-energy ratios for specific products and considering the efficiency of heat pumps used in homes with electrical heating. The interactive effects factor for heating was adjusted based on the COP of a heat pump, resulting in an overall factor of -24.0% for electrically heated buildings.
55 The proportions of heating types and participants who use a heat pump or air conditioner are drawn from the 2018 EPI tracking sheet. 56 ADS ASSOCIÉS, Évaluations des effets énergétiques combinés des mesures d'économies d'énergie – résid...
AI summary The text discusses the interactive effects of energy-saving products based on their installation locations, referencing data from 2017 and 2018 tracking sheets. It highlights how different types of LED lamps have varying indoor and outdoor installation proportions, impacting energy and peak demand savings calculations.
13.1.5 Effective Useful Life As part of the 2018 evaluation, the Evaluator reviewed the EUL values used by ENS in the calculation of energy savings that are expected to persist over time. These EUL values were consistent with those establi...
AI summary The document discusses the evaluation of Effective Useful Life (EUL) values for energy-saving products used by Energy Efficiency Nova Scotia (ENS) in 2018. It highlights updates for LED lamps and the retention of EUL values for thermostatic shower valves and retractable clotheslines based on prior evaluations and literature reviews.
13.1.6 Revised Gross Savings The annual gross savings for each category of products installed in 2018 through EPI are listed below. Table 46 presents the results for single-family homes and Table 47 for apartments. Overall, the total gross...
AI summary The document provides details on the revised gross savings from energy efficiency programs implemented through the Efficient Product Installation (EPI) program in 2018. It highlights annual and lifetime energy and peak demand savings, along with the weighted average EUL value and line loss factors used in the calculations.
Table 46: Revised Gross Energy and Peak Demand Savings by Product Category for EPI Single-family Homes L E D La m p s i fe im Sa in ( ) G L En he Ge G W h t t t to ro ss e er g g s a ne ra r y v – 0. 3 8 2 5 4. 3 8 9 0. 5 1 5 0. 2 6 2 2. 1...
AI summary Table 46 presents revised gross energy and peak demand savings by product category for EPI single-family homes, including data for LED, lamps, and other categories. The table outlines energy savings and demand reductions associated with different product types.
Table 47: Revised Gross Energy and Peak Demand Savings by Product Category for EPI Apartments LED Lamps L ine Lo Fa to ss c r 1. 0 9 9 1. 0 9 9 1. 0 9 9 1. 0 9 9 1. 0 9 9 1. 0 9 9 To l G Pe k De d Sa in he Ge ta t t to ro ss a m an v g s a...
AI summary Table 47 outlines the revised gross energy and peak demand savings by product category for EPI apartments, detailing the number of units, installation rates, and energy savings associated with various efficiency measures such as LED lamps, thermostatic valves, and smart power controllers.
Table 50: Evaluated Net Energy and Peak Demand Savings by Product Category for EPI L E D La m p s Sa in ( ) To ta l Ne t En t t he Ge to G W h er g g s a ne ra r y v – 0. 0 5 7 5. 9 0 8 0. 0 4 6 0. 0 3 9 0. 2 2 2 0. 0 2 4 E f fe ive Us fu...
AI summary Table 50 evaluates the net energy and peak demand savings by product category for the Efficient Product Installation (EPI) program. It includes metrics such as net energy savings, effective useful life, net life energy savings, and peak demand savings, along with the net-to-gross ratio (NTGR).
- 5. Upon completion of the File Assessment and Modeling Verification, enter your name and date in the form (top of form). Quality assurance auditor / Quality Assurance Specialist File number ( D) File number (E :) Date of quality assuranc...
AI summary This section provides a form for quality assurance auditors and energy advisors to complete upon finishing the File Assessment and Modeling Verification process. It includes fields for entering names, dates, building type, service type, and evaluating energy consumption differences and data collection sufficiency.
Modelling Verification Criteria Reflect DCFs, photos, notes & sketches Yes No N/A Information\nin accordance with the Data Collection Forms, Pictures and Drawings Impact of the error on the energy consumption (in %) only if the difference...
AI summary The document contains a table with criteria for verifying energy consumption models, focusing on house specifications, construction details, and error significance. It includes checks for HOT2000 files, default values, insulation, geometry, and other factors affecting energy efficiency modeling.
APPENDIX II HEA: BILLING ANALYSIS DETAILS The overestimation ratios (ORs) are used to adjust the heating consumption values resulting from the HOT2000 simulations, which tend to slightly overestimate houses' space heating consumption. This...
AI summary This appendix discusses the billing analysis conducted in 2018 to establish overestimation ratios (ORs) for the Heating Energy Assessment (HEA). 300 participants were selected, and their energy consumption was analyzed using regression models. The analysis compared energy consumption data from the D assessment period with data from the HOT2000 software to calculate ORs.
Executive Summary 1. Conduct a billing analysis to review the overestimation ratio when a sufficient participant sample becomes available. The billing analysis conducted in 2018 was initially aimed at estimating a new overestimation ratio...
AI summary The document recommends conducting a billing analysis to assess overestimation ratios, particularly focusing on the impact of different HOT2000 software versions and heating systems like heat pumps. It also emphasizes sharing evaluation findings with EAs to ensure accurate simulations.
Tracked Savings ENS uses unitary savings values to track the energy and peak demand savings associated with wood and pellet stoves. The unitary savings values are based on HOT2000 energy models created for the 2013 evaluation. The baseline...
AI summary ENS uses unitary savings values based on HOT2000 models to track energy and peak demand savings from wood and pellet stoves. For participants with air-source heat pumps (ASHPs), these values are adjusted by dividing by a COP of 2.1 from the Pennsylvania PUC's TRM. Peak demand savings are assumed to be the same for ASHP and electrical resistance baselines.
Table 4: Tracked Unitary Savings Values for Wood and Pellet Stoves Category of Equipment Tracked Energy Savings Value (kWh/year) Tracked Peak Demand Savings Value (kW) Wood Stove with Electrical Resistance Baseline 10,443 4.0 Pellet Stove...
AI summary Table 4 provides tracked unitary savings values for wood and pellet stoves under different baseline scenarios. The data includes energy savings in kWh/year and peak demand savings in kW for each category of equipment.
Tracked Savings The tracked unitary savings values for wood and pellet boilers and furnaces are based on the 2010 Residential Fuel Substitution Program review carried out by Dunsky Energy Consulting.6 The energy savings values were adjuste...
AI summary The tracked unitary savings values for wood and pellet boilers and furnaces are based on a 2010 review by Dunsky Energy Consulting. These values were adjusted using billing analysis and HOT2000 energy modelling to reflect actual 2012 program participant data and have been used since 2013.
Tracked Savings Currently, the tracked energy savings values for solar domestic hot water (DHW) and solar air heaters are based on RETScreen energy models. ENS creates the energy models for each participant using manufacturer technical spe...
AI summary The tracked energy savings for solar domestic hot water and solar air heaters are based on RETScreen energy models, but peak demand savings are zero as solar equipment does not operate during peak demand periods when the sun has set.
Revised Savings The Evaluator carried out a literature review to determine if any recent studies supported adopting another approach than energy modelling and found none that would improve the accuracy of the calculated energy savings valu...
AI summary The Evaluator conducted a literature review and found no recent studies supporting an alternative approach to energy modelling. Therefore, the Evaluator recommends continuing the use of RETScreen energy models to calculate unitary savings.
Table 6: Unitary Savings Values for Heat Pump Water Heaters Parameter Symbol Value for Electrical Resistance Space Heating Value for HP Space Heating Source Heat Delivered to Water in HPWH Tank Annually QDHW 2,618 Efficiency Vermont Energy...
AI summary The table presents unitary savings values for heat pump water heaters, comparing electrical resistance space heating and heat pump space heating. It includes parameters such as heat delivered to water, energy factors, and coefficient of performance. Energy savings are calculated and converted to peak demand savings using an equivalent full-load hour value.
Revised Savings To review the new unitary savings calculations, the Evaluator first assessed the reasonableness of each variable. - › QDHW: This value is drawn from Efficiency Vermont, but the source of the calculation is not publicly avai...
AI summary The Evaluator reviewed and revised savings calculations for water heating and heat pump systems. Key variables like QDHW, EFBase, EFHPWH, WHHF, and COP were reassessed using data from Efficiency Vermont, literature reviews, and performance studies. Revised savings values were set at 790 kWh and 1,312 kWh for homes with different heating systems, with recommendations for using updated metrics like COP and demand-to-energy ratios for peak demand savings.
Table 8: Definition of Parameters – Energy Savings for MSHPs in Non-electrically Heated Households Acronym Unit Variable Value/Source НС BTU/h Rated heating capacity of the new heat pump Specification data for each installed system (AHRI c...
AI summary The text defines parameters for calculating energy savings from mini-split heat pumps (MSHPs) in non-electrically heated households, including rated heating capacity, heating seasonal performance factors, and full heating load hours. These values are used to calculate peak demand unitary savings for each MSHP.
Electrically Heated Households A billing analysis was performed again in the 2018 evaluation to more accurately estimate ASHP energy savings. All participants from 2013 to 2017 who installed ASHPs that did not replace existing heat pumps w...
AI summary A 2018 billing analysis evaluated ASHP energy savings by comparing electrical consumption before and after installation. The analysis included 147 participants, but 30 were removed due to unusual billing data or insufficient data. A regression model based on the Princeton Scorekeeping Method was used to assess individual participant data.
Table 11: Definition of the Parameters and Corresponding Numerical Values - GSHPs Acronym Unit Variable Value/Source ܥܪ BTU/h Heating capacity of installed system Specification data for each installed system ܥܥ BTU/h Cooling capacity of in...
AI summary Table 11 defines various parameters and their numerical values related to ground-source heat pumps (GSHPs), including heating and cooling capacities, performance factors, efficiency ratios, and load hours. These parameters are essential for evaluating the energy performance of GSHP systems.
INTRODUCTION Hello, my name is _________, I am with Corporate Research Associates and we are performing an evaluation of energy efficiency services provided by Efficiency Nova Scotia. Our records indicate that you or your household recentl...
AI summary This text outlines an introduction to a survey conducted by Corporate Research Associates evaluating energy efficiency services provided by Efficiency Nova Scotia. The survey aims to gather feedback from participants of the Efficient Product Installation Service, which involves the installation of energy-efficient products at no cost.
Table 12: Unitary Savings Values by LED Category Type of LED Old Wattage (W) New Wattage (W) Displaced Wattage (W) Operating Hours (hrs/day) Unitary Savings Value for Single- family Homes (kWh/year) Unitary Savings Value for Apartments (kW...
AI summary Table 12 presents unitary savings values by LED category, showing the energy savings from replacing traditional light bulbs with more efficient LED alternatives in both single-family homes and apartments. The table includes displaced wattage, operating hours, and annual savings in kilowatt-hours.
Table 14: Unitary Savings Values for LED Holiday Lights Parameter Value for Single- family Homes Value for Apartments Source Average Old Wattage [W] 99.6 99.6 Calculation New Wattage [W] 0.08 W/lamp × 70 lamps/set = 5.6 0.08 W/lamp × 70 la...
AI summary Table 14 presents unitary savings values for LED holiday lights in single-family homes and apartments. It includes parameters like average old wattage, new wattage, displaced wattage, daily hours of operation, days of use per year, and unitary savings in kWh/year.
Thermostatic Shower Valves To estimate the unitary savings of thermostatic shower valves, TRMs usually present equations for calculating the unitary savings of low-flow showerheads with modifications to two parameters, namely flow rates an...
AI summary The document discusses the method for calculating unitary savings from thermostatic shower valves using equations similar to those for low-flow showerheads. It details parameters such as flow rate, shower duration, and hot water usage, with a specific focus on the domestic hot water reduction equation and energy savings calculation. A literature review established a behavioural waste time value of 0.98 minutes based on a study referenced by Maine and Pennsylvania.
APPENDIX XIV EPI: DETAILED CALCULATIONS OF EQUIVALENT EUL OF LED LAMPS This appendix presents the details on how the equivalent effective useful life (EUL) of LED lamps were calculated with an updated duration pending the changes in Canadi...
AI summary This appendix details the calculation of the equivalent effective useful life (EUL) of LED lamps, considering updated Canadian regulations for general-service lamps. The methodology used is similar to the 2017 DSM Evaluation Report, with changes in baseline efficiency affecting the EUL value and lifetime energy savings calculations.
As for decorative lamps (G25 and chandelier lamps), compact fluorescent lamp (CFL) replacements are not widely available in the market. Using an approximate level of 300 lumens for G25 lamps and E12 chandelier lamps, the baseline wattage v...
AI summary The text discusses the limited availability of compact fluorescent lamp (CFL) replacements for decorative lamps such as G25 and chandelier lamps. It notes that LED lamps are nearly as efficient as baseline incandescent lamps and that savings for decorative lamps are capped until 2024 due to EISA 2020 requirements. The equivalent useful life (EUL) of LED decorative lamps is set at six years for the 2018 evaluation.
Table 25: Baseline Evolution During the Effective Useful Life of LED Decorative Lamps and Resulting Equivalent EUL Lamp Type Replaced Lamp (W) Typical Efficient Lamp _ n Baseline 2016-2023) Baseline - Legis uivalent - American lation 56 20...
AI summary Table 25 outlines the baseline evolution and equivalent energy use life (EUL) for LED decorative lamps over time, comparing different lamp types and their wattage displacement. It references US federal legislation, specifically the Energy Independence and Security Act (EISA) 2007, as a basis for the equivalent incandescent wattage.
NHC Overview Administered by Efficiency Nova Scotia (ENS), NHC encourages homeowners and builders to exceed energy efficiency building code requirements for new homes. Participation in NHC involves completing the following steps: (1) revie...
AI summary The New Home Construction (NHC) program, administered by Efficiency Nova Scotia (ENS), encourages energy efficiency in new homes by offering incentives based on performance levels. The program was updated in 2017 with a new EnerGuide rating system and again in 2018. A 2018 evaluation included documentation reviews, interviews, and on-site assessments to evaluate program effectiveness.
NHC Performance NHC aimed to achieve 4.6 GWh in net electrical energy savings and 1.3 MW in net peak demand savings at the generator in 2018. The Evaluator found that NHC achieved 4.515 GWh in net electrical energy savings and 1.278 MW in...
AI summary In 2018, the New Home Construction (NHC) program achieved 4.515 GWh in net electrical energy savings and 1.278 MW in net peak demand savings, representing 2,766 tonnes of CO2 eq in avoided greenhouse gas emissions. Participation in the program increased compared to the previous three years, with 652 participants completing projects, including seven in the Passive House pilot.
Incentives and Home Labels Jurisdictions use a range of incentive amounts and base their incentives on different benchmarks depending on their location, program delivery history, market research, and home label certifications. Offering a r...
AI summary Jurisdictions use varying incentive amounts based on location, program history, and home label certifications to attract different types of builders. Incentives help builders improve efficiency over time, and associating programs with labels like ENERGY STAR helps builders stand out to customers.
NHC On-site Visits and Simulation Review Highlights On-site visits and simulation file reviews were conducted for 10 NHC projects to determine the completeness and accuracy of the information in the as-built simulation files and data-colle...
AI summary On-site visits and simulation file reviews for 10 NHC projects revealed incomplete documentation, with eight projects missing key building plans and as-built reports. Adjustments to energy consumption values were made following NRCan protocols, showing a 0.3% global adjustment, a significant improvement from 3% in 2016.
NHC Energy Savings The objective of the 2018 NHC impact evaluation was to establish net energy and peak demand savings. Prior to reviewing the gross savings calculations, the Evaluator reviewed the contents of the 2018 tracking sheet to en...
AI summary The 2018 NHC impact evaluation calculated net energy and peak demand savings by adjusting gross energy savings with overestimation ratios and applying net-to-gross ratios (NTGRs). Free-ridership and market effects levels from 2017 were used, resulting in NTGRs of 0.95 for NHC and 0.39 for the Passive House pilot. Net savings were determined as 4.481 GWh and 1.268 MW for NHC, and 0.035 GWh and 0.010 MW for the Passive House pilot.
Table 3: Overall Comparison of Tracked and Evaluated Savings at the Generator Initial Gross Savings Adjusted Gross Savings NTGR Net Savings Energy Savings ENS Tracked Savings 5.901 GWh 4.946 GWh 0.90 4.451 GWh Evaluation Results 5.901 GWh...
AI summary Table 3 compares tracked and evaluated energy and peak demand savings. The evaluated savings are slightly lower than tracked values for adjusted gross savings but higher for net savings due to changes in the NTGR value for NHC and Passive House. This reflects updated ORs and revised NTGR values used in the evaluation.
- 2018 NHC-R3. Share evaluation findings with the EAs to ensure sustained quality simulations and that all required documentation is included in participant files. As part of the 10 NHC on-site visits and HOT2000 simulation reviews, the Ev...
AI summary The 2018 NHC-R3 recommendation emphasizes the need to share evaluation findings with Energy Advisors (EAs) to improve simulation accuracy and ensure all required documentation is included in participant files. NHC-R4 calls for a billing analysis to review overestimation ratios (ORs) using a sufficient sample of NHC participants, particularly as more projects are completed under the HOT2000 version 11 rating system.
Table 4: Types of Evaluations Conducted for Each Program Component Program Component 2017 2018 Program Process Market Impact Process Market Impact Residential Efficient Appliance Retirement R C C Product Rebates Program Instant Savings R R...
AI summary Table 4 outlines the types of evaluations conducted for each program component in 2017 and 2018, focusing on process, market, and impact evaluations across various residential and business energy efficiency programs.
1.2 Follow-up on 2017 Evaluation Report Recommendations The Evaluator evaluated NHC in 2017 and made improvement recommendations. [Table](#page-0-0) 5 below provides a brief summary of the implementation status of each recommendation prese...
AI summary The 2017 Evaluation Report provided recommendations for improving NHC, and Table 5 summarizes the implementation status of these recommendations. The section discusses follow-up actions taken based on the report's findings.
1.3 Participation History [Figure](#page-2-0) 2 below illustrates the evolution of NHC participation levels as well as in net energy and peak demand savings from 2012 to 2018. The 2017 and 2018 figures also include the results from the Pas...
AI summary The document discusses the participation history of the New Home Construction (NHC) program from 2012 to 2018, highlighting increased participation in 2018 and the associated energy and peak demand savings. It also notes the impact of the Passive House pilot and the decrease in per-participant savings despite overall growth.
2 NHC EVALUATION OBJECTIVES AND METHODOLOGY The main objectives of the NHC evaluation are as follows: - › Assessing the effectiveness of NHC design and delivery - › Calculating program results, namely electrical first-year and lifetime ene...
AI summary The NHC evaluation aims to assess the effectiveness of NHC design and delivery and calculate program results such as energy savings and GHG emissions. The methodology includes reviewing documentation, meeting with the program manager, and preparing data-collection instruments.
On-site Visits and Simulation Review As part of the evaluation, 10 NHC projects were reviewed. The project reviews consisted of: (1) an on-site visit at participating houses after the completion of the as-built assessment (or N assessment)...
AI summary As part of the evaluation, 10 new home construction projects were reviewed through on-site visits and simulation file verification. The process aimed to validate data collected by energy advisors and ensure assumptions in simulation files reflected actual energy performance. The on-site visits also confirmed the implementation of energy efficiency measures in the new homes, conducted by EcoPlus.
Savings Calculation Review For NHC, energy savings are calculated using the energy consumption values obtained from the HOT2000 simulation models and by applying ORs obtained from a billing analysis. The Evaluator reviewed the different st...
AI summary The savings calculation methodology for new home construction (NHC) and the Passive House pilot is reviewed. Energy savings are calculated using HOT2000 simulation models and overestimation ratios (ORs) from billing analysis. The 2017 evaluation's equations and parameters were reused for the 2018 evaluation.
Lessons Learned by Respondents Some jurisdictions have found value in having an online application process that requires less work by the program administrator to approve project registrations . One respondent noted that their organization...
AI summary Respondents highlighted the benefits of an online application process that reduces administrative burden for program administrators. One organization is implementing an automated system for project approval and tracking, while another already has such a system in place.
4.1 On-site Visits and Simulation Review The Evaluator conducted on-site visits for and reviewed the simulation files of 10 NHC projects selected among those that generated electrical savings and completed the as-built assessment (or N ass...
AI summary The Evaluator conducted on-site visits and reviewed simulation files for 10 NHC projects to assess the accuracy and completeness of as-built simulation data. The review used the EnerGuide home evaluation framework, with a focus on improved data collection due to the updated EnerGuide version 15.
Building Envelope Constituents The values related to building envelope constituents were adjusted in eight projects (23 adjustments), and only one contained a geometry error affecting energy consumption by more than 5 percent. Overall, the...
AI summary A review of HOT2000 simulations found that while most building envelope data was accurately recorded, some transcription errors and incorrect assumptions impacted energy consumption estimates. These discrepancies were generally small, with impacts under 5 percent, though one error increased energy consumption by over 20 percent due to incorrect wall perimeter dimensions.
4.2.1 Gross Energy Savings Calculations for NHC The final 2018 tracking sheet provided by ENS contained data for a total of 645 NHC participants who generated electrical savings. To establish the modelled gross energy savings associated wi...
AI summary The document discusses two methods for calculating gross energy savings for NHC participants: modelled energy consumption and savings per EnerGuide point. Since 2015, modelled energy consumption values have been used for most participants, while the EnerGuide point method was applied to a few cases due to data inconsistencies.
Method 1: Modelled Energy Consumption The modelled gross energy savings were calculated by comparing the to-code and as-built modelled energy consumption (EC) levels resulting from the HOT2000 simulations, minus the baseload consumption (B...
AI summary The modelled gross energy savings are calculated by comparing to-code and as-built energy consumption levels, adjusted by an overestimation ratio. The baseline consumption is subtracted, and the method is preferred when as-built consumption data is available.
Overestimation Ratio The OR is used to adjust the modelled energy consumption values generated by the HOT2000 software because it tends to slightly overestimate savings. The ORs established as part of the HEA evaluation were used to adjust...
AI summary The Overestimation Ratio (OR) is used to adjust energy consumption values from the HOT2000 software, which overestimates savings. ORs were established for the 2018 HEA evaluation, distinguishing between homes with and without heat pumps. Additional analyses were conducted for the to-code model, which uses electrical baseboards. The OR used for tracked savings calculation was 16 percent across all scenarios.
Scenario Number of Participants in the Billing Analysis Difference Between Modelled and Actual Space Heating Consumption Margin of Error OR To-code Model – With Neither Heat Pump Nor Wood/Pellet Stove 400 9% 2% 9% As-built Model – With Hea...
AI summary Table 13 presents overestimation ratio values for new home construction (NHC) under different scenarios, including models with and without heat pumps, showing differences between modelled and actual space heating consumption.
Non-electrical Heating System Used as Backup In NHC, the baseline heating system modelled in the to-code simulation corresponds to 100 percent electrical baseboards. The total as-built modelled energy consumption is subtracted from this ba...
AI summary In new home construction (NHC), the baseline heating system is modeled as 100% electrical baseboards. Energy savings calculations subtract total as-built consumption from this baseline, even if non-electrical heating systems are used, ensuring conservative estimates and excluding fuel-switching savings. Only 11% of 2018 homes had non-electrical backup systems, and 2% used only non-electrical systems but claimed all savings as electrical.
Method 2: Savings per EnerGuide Point For 2018, the savings per EnerGuide point method was used for one participant who registered before 2015 and who did not have a to-code energy consumption value. The method was also used for one partic...
AI summary The document discusses the use of the 'Savings per EnerGuide Point' method in 2018 for energy efficiency evaluations. It explains that the method was applied to two specific cases due to inconsistencies in energy consumption data. The average baseline EnerGuide rating of 78 is based on the 2012 National Building Code and used in HOT2000 Version 10. The savings per EnerGuide point value of 1,278 kWh was calculated using data from 2015 NHC participants and adjusted by an overestimation ratio of 16%.
Where: - › ECBaseline is the baseline energy consumption (kWh) - › ECAs-built is the as-built energy consumption per square footage (kWh/ft2 ) - › TFA is the treated floor area (ft2 ) 14 Nova Scotia, Building Code Regulation, " Nova Scotia...
AI summary The document outlines the methodology for calculating baseline and as-built energy consumption values for Passive House pilot participants. It references the 2017 NHC evaluation and explains the use of software like PHPP and WUFI® for energy modeling, while noting differences in floor area definitions between HOT2000 and treated floor area calculations.
4.2.3 Interactive Effects No interactive effects were added by the Evaluator savings calculation since they were already taken into account in the HOT2000 simulations. For the Passive House pilot, the interactive effects were already consi...
AI summary The text discusses the evaluation of interactive effects in energy savings calculations. It notes that interactive effects were not added by the Evaluator because they were already included in HOT2000 simulations and that similar considerations apply to the Passive House pilot, where simulations already account for these effects.
4.2.5 Effective Useful Life For the 2018 evaluation, the Evaluator relied on equivalent effective useful life (EUL) values established through a literature review conducted as part of the 2017 evaluation. [Table](#page-25-0) 14 below prese...
AI summary The 2018 evaluation used equivalent effective useful life (EUL) values from the 2017 evaluation, with no changes applied to the EUL values for NHC and the Passive House pilot.
4.2.6 Revised Gross Savings The gross savings at the generator were calculated using an NSP line loss factor of 1.100 between the meter and the generator. The revised gross energy and peak demand savings at the generator amount to 4.716 GW...
AI summary The document discusses the revised gross savings at the generator for NHC and the Passive House pilot, calculated using an NSP line loss factor of 1.100. The lifetime energy savings are estimated at 141.493 GWh for NHC and 3.212 GWh for the Passive House pilot, based on average EUL values of 30 and 36 years respectively.
Table 15: Revised Gross Energy and Peak Demand Savings NHC Passive House Pilot Total Number of Participants 645 7 652 Energy Savings Initial Gross Energy Savings (GWh) 5.256 0.109 5.365 Overestimation Ratio - - - Revised Gross Energy Savin...
AI summary Table 15 presents revised gross energy and peak demand savings from the NHC and Passive House Pilot programs. It includes metrics such as initial and revised energy savings, line loss factors, and effective useful life, providing a detailed breakdown of energy and demand savings at both the meter and generator levels.
Table 17: Evaluated Net Energy and Peak Demand Savings Parameter NHC Passive House Pilot Total Energy Savings Revised Gross Energy Savings – at the Meter (GWh) 4.288 0.081 4.369 NTGR 0.95 0.39 - Total Net Energy Savings – at the Meter (GWh...
AI summary Table 17 presents evaluated net energy and peak demand savings for the NHC and Passive House Pilot programs. It includes metrics such as energy savings, peak demand savings, line loss factors, and effective useful life to assess the overall impact of these initiatives.
The savings tracked by ENS were compared with the results established by the Evaluator for 2018. Both the gross energy and peak demand savings calculated as part of the 2018 evaluation are equal to the initial gross savings tracked by ENS....
AI summary The savings tracked by ENS were compared with the 2018 evaluation results, showing that adjusted gross savings are 3% lower due to updated ORs, while net savings are higher due to an increased NTGR value for NHC. For Passive House, the NTGR was revised from 0.90 to 0.39 based on the 2017 evaluation.
- 2018 NHC-R3. Share evaluation findings with the EAs to ensure sustained quality simulations and that all required documentation is included in participant files. As part of the 10 NHC on-site visits and HOT2000 simulation reviews, the Ev...
AI summary The 2018 NHC-R3 recommendation emphasizes the need to share evaluation findings with EAs to improve simulation accuracy and ensure required documentation is included in participant files. NHC-R4 suggests conducting a billing analysis to review occupancy rates when a sufficient NHC participant sample becomes available, highlighting the significant impact of heat pumps on ORs.
Table 1: Overview of Data Collection Activity Descriptor This Instrument Instrument Type In-depth interview Estimated Time to Complete 30 minutes Population Description Program Managers of New Homes Programs in North America Population Cou...
AI summary This table outlines the data collection activity involving in-depth interviews with program managers of New Homes Programs in North America, estimated to take 30 minutes each. The population count is 25+, and the contact list is sourced from Efficiency Nova Scotia Staff and a review of EE program literature.
Building Enveloppe Ceiling and roof assembly configurations Wall assemblies Floor header information Exposed floor information Windows Significant window overhangs Doors Foundation Foundation configuration (s) Basement information Crawlspa...
AI summary The text contains a table and images related to building envelope components, mechanical systems, and energy efficiency measures. It includes data collection criteria for photographic requirements and a section for assessing the impact of errors on energy consumption.
Renewables Solar domestic hot water (SDHW) Photovoltaic panels Wind turbines Building Envelope Attic (gable, hip, scissor) Basement wall Pony wall (can be included in basement wall photo) Crawl space Header Exposed floor Half storey Other...
AI summary The text includes tables related to renewable energy technologies, building envelope components, and modelling verification criteria for energy assessments, with a focus on data collection forms, photos, and verification of input parameters for accuracy.
Wall assemblies Wall construction details (structure type, framing, interior/exterior finishes) Insulation (type, thickness, RSI/R-value) Buffering effect Geometry (height/perimeter) Wall area (avg. Wall height) for gable walls + If attach...
AI summary The document contains a table detailing wall assemblies, floor headers, exposed floors, and windows, focusing on construction details, insulation, buffering effects, and modeling accuracy. It includes sections for evaluating the significance of errors in modeling.
Type Number of single doors Have the doors been placed in the correct wall section/location? Windows in doors (orientation, type)? Double doors or door assemblies (rough opening measurements)? Was the buffering effect added appropriately?...
AI summary The document contains a table with questions related to the placement and configuration of doors, windows, and foundation elements in a building model. It includes criteria for evaluating the accuracy of these elements and their impact on the model's performance.
This appendix summarizes all the recommendations made by the Evaluator throughout the report as well as the section from which the recommendations originated. Sections Recommendations Executive Summary 1. Increase support and guidance to b...
AI summary This appendix summarizes recommendations made by the Evaluator, including increasing support for builders by involving DAs and EAs in the NHC participation process. DAs and EAs are seen as valuable partners in new home construction programs, offering technical assistance and improving builder satisfaction.
BER Recommendations The 2018 impact evaluation revealed that the accuracy of reported savings had improved, especially for Mail-in. In addition, ENS has been proactive in adapting their Instant Rebates offerings to the evolving market by r...
AI summary The 2018 impact evaluation of the Business Energy Rebates (BER) program highlights the need for process improvements, including reviewing eligibility criteria, improving data tracking, connecting participants with non-lighting contractors, and analyzing incentive levels for non-lighting measures. These recommendations aim to enhance program performance and savings accuracy.
2 BER EVALUATION OBJECTIVES AND METHODOLOGY The main objectives of the BER evaluation are as follows: - › Assessing the effectiveness of BER design and delivery - › Reporting on participant and partner perspectives - › Calculating program...
AI summary The BER evaluation objectives include assessing the program's effectiveness, reporting on stakeholder perspectives, calculating energy and GHG savings, and analyzing LED lamp market evolution. The methodology involved document reviews, meetings with program managers, and statistical sampling with a 10% margin of error at a 90% confidence level.
4.1 Gross Savings Gross savings refer to changes in energy consumption resulting from actions taken by participants, regardless of their reasons for participating.7 For each Mail-in Rebates project, ENS tracks annual gross savings using th...
AI summary Gross savings are calculated based on energy consumption changes from participant actions. ENS uses the CIRx Screening Tool to track annual savings for Mail-in Rebates projects. In 2018, 366 projects were implemented by 257 participants, with 78 projects reviewed through on-site visits. An adjustment ratio is used to revise savings estimates for each measure category.
Effective Useful Life As part of the 2018 evaluation, the Evaluator reviewed the effective useful life (EUL) values used by ENS to calculate the energy savings that are expected to persist over time. The EUL values of all measures were rev...
AI summary The 2018 evaluation reviewed ENS's use of effective useful life (EUL) values for energy savings calculations. Most non-lighting measures were accurately tracked, but some lighting measures, such as downlight fixtures and LED luminaires, had inaccurately tracked EUL values. The Evaluator revised these values based on the 2017 DSM Evaluation Report.
Table 13: Revised Net Energy and Peak Demand Savings for BER Mail-in Ca Me te as ur e g or y C H V A L ig h in t g Re fr ig io t er a n M d V to o rs a n F Ds Co d A m p re ss e ir Ag ic l l tu r u ra En Sa in er g y v g s Re ise d G En Sa...
AI summary Table 13 presents revised net energy and peak demand savings for the BER Mail-in program, detailing energy savings and peak demand reductions across various sectors such as commercial, residential, and agricultural. The table includes metrics like revised gross energy savings, net energy savings, effective life, and peak demand savings in gigawatt-hours and megawatts.
Revised Net Energy and Peak Demand Savings for BER Mail-in (Continued) Me Ca te as ur e g or y K i he tc n W He in te t a r a g Pu in m p g So la r fo To l A l l ta r Ca ies te g or En Sa in er g y v g s Re ise d G En Sa ing he M ( G W h )...
AI summary The document presents revised net energy and peak demand savings for the Bill-Entry Rebate (BER) mail-in program, including various metrics such as energy savings, peak demand savings, and effective useful life in years. These figures are categorized under different headings and are presented in a table format.
Summary of Adjustments to Gross Savings As mentioned above, the Evaluator reviewed the contents of the 2018 tracking sheet to ensure that the 2016 recommended savings values were applied correctly. Seven evaluation categories required adju...
AI summary The Evaluator reviewed the 2018 tracking sheet to ensure correct application of 2016 recommended savings values. Seven evaluation categories required adjustments, including LED lighting and occupancy sensors, with adjustment ratios listed in Table 15 and detailed in Appendix XIII.
5.3 Net Savings Net savings are defined as the changes in energy use that are specifically attributable to Instant Rebates. Net savings were estimated by applying the overall NTGR presented above to the revised gross savings, as exemplifie...
AI summary Net savings are calculated using the Netting and Transfer Guidance Ratio (NTGR) applied to revised gross savings. Total net energy and peak demand savings are estimated at 54.884 GWh and 8.255 MW, respectively, leading to 35,622 tonnes of avoided CO2 eq annually. These calculations use a 2017 Nova Scotia-specific GHG factor and data from Nova Scotia Power.
Evaluated Net Energy and Peak Demand Savings for BER Instant Rebates (Continued) Ca Me te as ur e g or y L E D D ire io l a d t c na n Ar h i l F ix te tu tu c c ra re s Oc cu p an cy Se ns or s Pu m p s To l fo A l l ta r Me as ur es Sa E...
AI summary This table evaluates the net energy and peak demand savings for BER Instant Rebates, showing various metrics such as energy savings in gigawatt-hours, peak demand savings in megawatts, and effective useful life in years across different categories like LED directional and occupancy sensors, pumps, and total measures.
Table 22: Comparison of Overall Tracked and Evaluated Savings at the Generator for BER Initial Gross Savings Adjusted Gross Savings NTGR Net Savings Energy Savings ENS Tracked Savings 101.271 GWh 101.271 GWh 0.76 77.208 GWh Evaluation Resu...
AI summary Table 22 compares tracked and evaluated savings for the Bill-Entry Rebate (BER) program, including energy and peak demand savings. ENS Tracked Savings and Evaluation Results are presented for both energy and peak demand, with adjustments made based on the Netting and Transfer Guidance Ratio (NTGR).
8 BER RECOMMENDATIONS The 2018 impact evaluation revealed that the accuracy of reported savings had improved, especially for Mail-in. In addition, ENS has been proactive in adapting their Instant Rebates offerings to the evolving market by...
AI summary The 2018 impact evaluation highlights improvements in reported savings accuracy for Mail-in and Instant Rebates, but identifies process issues, including overlapping eligibility and limited data tracking. Recommendations focus on aligning BER logic models, improving data systems, connecting participants with non-lighting contractors, and adjusting incentive levels for non-lighting measures with longer payback periods.
CONCLUSION The 2018 evaluation revealed that BER largely surpassed planned energy and peak demand savings, which were 50.6 GWh and 7.9 MW respectively, by achieving 75.298 GWh in net energy savings, the highest savings level in its history...
AI summary The 2018 evaluation of the Bill-Entry Rebate (BER) program showed significant energy and peak demand savings, surpassing initial targets. Instant Rebates and Mail-in services contributed substantially, with lighting measures being the most popular. The program achieved 75.298 GWh in net energy savings and avoided 46,128 tonnes of CO2 eq annually.
FR2. A RANGE Efficiency Nova Scotia paid your organization $[REBATE VALUE FROM SAMPLE BY CATEGORY] for the energy-efficient [MEASURE CATEGORY] measures. If your organization had not received the rebate from Efficiency Nova Scotia, would yo...
AI summary The text discusses a rebate program by Efficiency Nova Scotia, asking respondents about their likelihood of implementing energy-efficient measures without the rebate. It includes questions about lighting products and their certification, as well as the impact of the rebate on purchasing decisions.
Would Have Paid 201 15 2016 2017 201 18 Cost of Project Sample Size Mean Sample Size Mean Sample Size Mean Sample Size Mean Mean (0 = "Definitely Would Not Have Paid" 10 = "Definitely Would Have Paid") Paid cost of project 72 5.6 69 6.7 70...
AI summary The text presents survey data on awareness and willingness to pay for energy efficiency programs, focusing on the Business Energy Rebates Program. Respondents were asked about their awareness of premium lighting products and their actions if the program had not been available. Results indicate a moderate level of awareness and a tendency to implement similar measures even without the program.
Previously Seen ENS Energy Efficiency Promotional Materials Led to Examine Options for Facility 2016 2017 2018 Sample Size 59 65 53 Agree 61% 62% 53% Disagree 37% 35% 43% Don't know/refused 2% 3% 4% Base: Respondents who previously saw ENS...
AI summary This chunk presents survey data on the impact of Efficiency Nova Scotia's energy-efficiency promotional materials on company representatives' decision-making processes, particularly regarding the cost-effectiveness of energy measures. It also includes data on the use of contractors listed on the Efficiency Trade Network under the Business Energy Rebates Program.
Motors : Existing Equipment New Equipment Tracking sheet Validation on-site Tracking sheet Validation on-site Location Motor Type HP Rating Nameplate Efficiency Hours/wk Runtime Function Speed (RPM) Quantity Difference (Y/N) Explanation if...
AI summary The document contains a table with information related to motor and VFD (Variable Frequency Drive) equipment, including details about existing and new equipment, their specifications, operational status, and energy consumption. It is used for tracking and validation purposes.
HVAC: Total number of AC & Air-Source Heat Pumps (Split & Unitary) installed: Total number of Ground & Water Source Heat Pumps installed: Are there any other heating and cooling systems than the ones being replaced/installed? (note % of he...
AI summary The document contains a table and form related to HVAC systems, specifically focusing on the installation and performance metrics of air-source and ground-source heat pumps. It includes fields for tracking and validating equipment details, energy efficiency ratios, and operational status.
Heating, Ventilation and Air-conditioning (HVAC) Measures Eleven (11) HVAC projects were evaluated in 2018, comprising 20 different commercial HVAC measures. - › Adjustments were limited, with adjustment ratios of 0.990 for tracked energy...
AI summary In 2018, eleven HVAC projects were evaluated, with adjustments made to energy and peak demand savings ratios, the use of CIRx Screening Tool values, and AHRI performance ratings. Errors were identified and corrected in several projects, including the use of incorrect values and adjustments for product quantities and baseline conditions.
Commercial Water Heating Measures Two (2) water heating projects were evaluated in 2018, comprising two different commercial water heating measures. - › Adjustments were made in both measures, resulting in adjustment ratios of 1.321 for tr...
AI summary In 2018, two commercial water heating projects were evaluated. Adjustments were made to both measures, resulting in specific energy and peak demand savings ratios. One heat pump water heater (HPWH) was installed in a boiler room, leading to a revised Fadj variable to account for higher COP in a warmer environment. One HPWH setpoint was found to be higher than the default value used in the CIRx tool.
The revised savings calculations are based on three adjustments. The first adjustment consisted of revising the ESVG and DSVG values based on the motor use, as identified during an on-site visit. The motor was identified in the application...
AI summary The revised savings calculations involve three adjustments: updating ESVG and DSVG values based on motor use, revising the coincidence factor to 1.0 based on confirmed operational periods, and adjusting the motor's rated efficiency based on on-site observations. These changes were made to align with the actual system configuration and usage patterns.
Lighting Measures As part of the 2018 evaluation, the Evaluator updated the EUL value of each lighting measure type to account for the approaching scheduled change in regulations. The same methodology as for 2017 was applied. The Evaluator...
AI summary The 2018 evaluation updated the Equivalent Useful Life (EUL) values for lighting measures to reflect changes in regulations. The methodology used in 2017 was applied, with the only change being the starting year updated from 2017 to 2018. Adjustments were made to account for increases in baselines over the lifetime of the measure, and specific product types like LED lamps and fixtures had their rated life values modified.
Table 7: Revised Equivalent Effective Useful Life Values by Lighting Measure Category L ig h in t g Me as ur e Ca L is t te g or y Tr ke d ac Eq iva le t n u E U L ( ) y ea rs Ra d L i fe te ( ho ) ur s An l H O U nu a ( ho ) ur s Re ise d...
AI summary The table presents revised Equivalent Useful Life (EUL) values for different lighting measure categories, including directional accent architectural LED fixtures, ceiling retrofit, and wall retrofit. The data includes values for track, radial life, annual hours, and revised EUL in years.
Table 1: 2018 Overall Participation and Savings for Custom Incentives Participation Level Gross Savings NTGR Net Savings Custom Energy Savings 14.315 GWh 0.81 11.603 GWh Lifetime Energy Savings 69 projects completed 196.661 GWh 0.79 156.07...
AI summary Table 1 presents 2018 participation levels and savings for custom incentives, including energy savings, lifetime energy savings, and peak demand savings across different programs such as Energy Savings, EMIS, and SEM. The table also includes metrics like NTGR and net savings for each category.
Custom Performance Custom aimed to achieve 24.2 GWh in net electrical energy savings and 2.4 MW in net peak demand savings at the generator in 2018. Overall, 79 projects generated savings, among which 69 projects were completed. The Evalua...
AI summary Custom achieved 11.603 GWh in net electrical energy savings and 1.200 MW in net peak demand savings in 2018, with 79 projects contributing to these results. The savings correspond to 7,024 tonnes of CO2 eq in avoided GHG emissions, and the net lifetime energy savings were 156.077 GWh, with a weighted average effective useful life of 13.5 years.
Building Optimization In 2018, six projects were completed through Building Optimization service. The 2018 evaluation included a review of three of those projects for which both a project file review and an on-site visit was conducted. Sim...
AI summary In 2018, six Building Optimization projects were completed, with three reviewed through on-site visits and project file reviews. Participant satisfaction was high, but energy savings were reduced by 39% and peak demand savings by 22% due to engineering errors. The net electrical energy savings were 1.184 GWh, avoiding 725 tonnes of CO2 eq in annual GHG emissions.
EMIS Performance EMIS aimed to achieve 0.90 GWh in net electrical energy savings and 0.2 MW in net peak demand savings at the generator in 2018. The Evaluator determined that EMIS achieved 1.616 GWh in net electrical energy savings and 0.0...
AI summary The EMIS program achieved higher-than-expected energy and peak demand savings in 2018, with 1.616 GWh in net electrical energy savings and 0.051 MW in net peak demand savings. These results contributed to significant GHG emissions reduction and demonstrated the program's effectiveness over time, with a weighted average EUL of 2.3 years.
SEM Performance SEM aimed to achieve 0.7 GWh in net electrical energy savings and 0.1 MW in net peak demand savings at the generator in 2018. The Evaluator determined that SEM achieved 1.455 GWh in net electrical energy savings and 0.190 M...
AI summary The SEM program aimed for 0.7 GWh in energy savings and 0.1 MW in peak demand reduction in 2018 but achieved 1.455 GWh and 0.190 MW, respectively. These results equate to 891 tonnes of CO2 eq in avoided GHG emissions. Four new participants contributed to these savings, with projects starting in January 2018 after launching in the fall of 2017.
4.1.4 Effective Useful Life For each of the 25 sampled projects, the Evaluator reviewed the effective useful life (EUL) values based on the literature review performed in 2017 and on an analysis of each project baseline. The Evaluator foun...
AI summary The Evaluator reviewed 25 projects to assess their effective useful life (EUL) values and found that 13 required adjustments due to incorrect categorization or dual-baseline issues. Adjustments resulted in a weighted average adjustment ratio of 0.940, and EULs for 2018 projects were reduced from 12.2 to 11.2 years.
Table 9: Revised Gross Energy and Peak Demand Savings for Retrofit Partial Savings Final Savings for Projects Started and Completed in 2018 Final Savings for Multi-year Projects Total Number of Projects 9 44 14 67 Energy Savings Tracked Gr...
AI summary Table 9 presents revised gross energy and peak demand savings for retrofit projects, including data on the number of projects, energy savings tracked and adjusted at the meter and generator, and peak demand savings with adjustments. This data provides a comprehensive overview of energy efficiency outcomes from 2018 and multi-year projects.
Table 10: Evaluated Net Energy and Peak Demand Savings for Retrofit Partial Savings Final Savings for Projects Started and Completed in 2018 Final Savings for Multi-year Projects Total Energy Savings Revised Gross Energy Savings – at the M...
AI summary Table 10 presents evaluated net energy and peak demand savings for retrofit projects, including revised gross energy savings, net energy savings, and peak demand savings at both the meter and generator levels, along with adjustments and factors such as NTGR and line loss.
6.1 Gross Savings In 2018, the Evaluator performed detailed technical reviews of four of the five New Construction completed projects. These four projects were those for which documentation was available at the time of site visits, in late...
AI summary In 2018, the Evaluator conducted detailed technical reviews of four out of five New Construction completed projects, representing 78 percent of 2018 reported savings, as documentation was available during site visits in late November.
6.1.2 Interactive Effects Since New Construction savings are based on the results of simulation models that encompass the total electricity consumption of both the proposed and reference buildings, interactive effects are already included....
AI summary New Construction savings calculations incorporate interactive effects through simulation models that account for total electricity consumption of both proposed and reference buildings. As a result, no additional interactive effects factor was applied.
6.1.4 Revised Gross Savings The 2018 gross energy and peak demand savings calculated for New Construction are presented in Table 13 below. The line loss factor was calculated as a weighted average of each project's line loss based on savin...
AI summary This section discusses the 2018 gross energy and peak demand savings for New Construction, including a line loss factor calculated as a weighted average. The gross electrical energy savings at the generator were 2.344 GWh, and gross peak demand savings were 0.782 MW. Lifetime energy savings were calculated at 40.563 GWh with a weighted average EUL value of 17.3 years.
Table 13: Revised Gross Energy and Peak Demand Savings for New Construction Partial Savings Final Savings for Projects Started and Completed in 2018 Final Savings for Multi-year Projects Total Number of Projects 1 5 0 6 Energy Savings Trac...
AI summary Table 13 presents revised gross energy and peak demand savings for new construction projects, detailing energy savings at the meter and generator, adjustment ratios, and lifetime energy savings. The data includes metrics for projects started and completed in 2018 and multi-year projects.
6.3 Net Savings For New Construction, the total net electrical energy and peak demand savings amounted to 1.500 GWh and 0.500 MW respectively at the generator. To calculate the avoided GHG emissions resulting from New Construction, the Eva...
AI summary The section discusses net savings from New Construction, including 1.500 GWh of electrical energy and 0.500 MW of peak demand savings. It calculates avoided GHG emissions using Nova Scotia's specific factor and estimates 835 tonnes of annual CO2 eq avoided. The net lifetime energy savings are 25.960 GWh, with a weighted average EUL value of 17.3 years.
Table 14: Evaluated Net Energy and Peak Demand Savings for New Construction Partial Savings Final Savings for Projects Started and Completed in 2018 Final Savings for Multi-year Projects Total Energy Savings Revised Gross Energy Savings –...
AI summary Table 14 presents evaluated net energy and peak demand savings for new construction in Nova Scotia. It details energy savings, peak demand savings, and associated metrics such as line loss factors and effective useful life. The data includes contributions from projects started and completed in 2018 and multi-year projects.
8.1.3 Effective Useful Life As part of the 2018 evaluation, the Evaluator reviewed the lifetime energy savings and corresponding EUL values used by ENS. The EUL of an implemented measure serves to calculate the energy savings achieved thro...
AI summary The document discusses the evaluation of effective useful life (EUL) values for energy efficiency measures in Building Optimization projects by ENS. It notes discrepancies between assigned EUL values and those recommended in a 2017 study, leading to a weighted average EUL of 6.7 years for 2018.
8.3 Net Savings Since the NTGR is assumed to be 1.00 for Building Optimization, net savings are equal to gross savings, as outlined in Table 15 above. For 2018, Building Optimization generated 1.184 GWh in net electrical energy savings and...
AI summary The net savings from Building Optimization in 2018 are detailed, including 1.184 GWh in electrical energy savings and 0.027 MW in peak demand savings. Using a Nova Scotia-specific GHG factor, these savings resulted in 725 tonnes of avoided CO2 eq. annually, with a weighted average EUL value of 6.7 years for net energy savings.
11.3 Participation History Two participants took part in EMIS in 2018; one was a continuing participant that began with EMIS in 2014 and the other was a new participant that reported savings through a special EMIS project. The special proj...
AI summary In 2018, participation in the Energy Management Information System (EMIS) decreased compared to previous years, with only two participants. One was a continuing participant since 2014, and the other was a new participant involved in a special project using a building automation system. Despite fewer participants, gross energy savings remained similar to 2017 due to data from a 2017 participant becoming available in 2018. However, incremental peak demand savings were significantly lower, partly due to overestimated 2017 savings.
Table 18: Definition of Terms Related to SEM and EMIS Term Definition Baseline Referring to the systems, time period, energy use, or conditions that provide a reference with which later performance of an energy conservation measure is comp...
AI summary Table 18 defines key terms related to SEM and EMIS, including baseline, baseline period, baseline regression, cumulative savings, incremental baseline, incremental savings, independent variable, and reporting period. These terms are used for evaluating energy conservation measures and are based on IPMVP guidelines.
Continuing Participant For the continuing participant, a documentation review was conducted with information provided by ENS in November, which included a monthly savings report from the service provider and a preliminary tracking sheet pr...
AI summary The continuing participant's energy savings were reviewed using documentation from ENS and the EMIS service provider. The evaluation confirmed accurate tracking of incremental and cumulative savings, with a non-routine adjustment made for equipment changes. The 2018 cumulative savings were established at 3,210,515 kWh.
14.2.3 Effective Useful Life As discussed in the 2017 Evaluation Report, the Evaluator decided to estimate savings conservatively by not claiming additional incremental savings as a result of avoided decay. However, persisting savings and...
AI summary This section discusses the calculation of Effective Useful Life (EUL) for energy savings in the EMIS program. It considers the remaining time in the program component and a conservative decay rate of 50% after participation ends. The EUL is calculated for each participant based on their participation timeline and the assumption that savings persist for a certain period after withdrawal.
14.2.4 Revised Gross Savings EMIS gross energy and peak demand savings are listed in Table 19 below only for incremental savings since those are the savings reported by ENS. The average line loss factors were obtained by dividing total gro...
AI summary The section discusses revised gross savings, focusing on EMIS data for incremental energy and peak demand savings. It calculates average line loss factors and lifetime energy savings, resulting in an average equivalent EUL value of 2.3 years.
15.2 Follow-up on 2016 Evaluation Report Recommendations SEM was evaluated in 2016 and improvement recommendations were made by the Evaluator. Table 21 below provides a brief summary of the implementation status of each recommendation pres...
AI summary The 2016 Evaluation Report on SEM provided recommendations for improvement, and Table 21 summarizes the implementation status of these recommendations. Energy Kaizens focus on reducing waste and improving energy consumption, while an SEM project involves implementing a strategic energy management system in a facility.
Effective Useful Life Review The Evaluator reviewed the EUL values used by ENS to calculate lifetime energy savings since lifetime energy savings were evaluated for the first time in 2018. To do so, the Evaluator surveyed participants abou...
AI summary The Evaluator reviewed EUL values used by ENS to calculate lifetime energy savings, which were first evaluated in 2018. The review included surveying participants on the persistency of savings and a literature review of technical manuals, evaluation reports, and relevant studies.
18.1 Gross Savings This subsection describes the methodology used to review the four SEM projects that generated savings in 2018 and summarizes the review findings. Interactive effects and revised gross savings are also assessed. As recomm...
AI summary This section outlines the methodology for reviewing four SEM projects that generated savings in 2018 and summarizes the findings. It notes that ENS now tracks both incremental and cumulative savings, and since all 2018 participants are new, incremental savings equal cumulative savings. The evaluation focuses on the incremental savings reported to regulators.
18.1.1 Project Review Findings In November 2018, ENS provided the Evaluator with an interim tracking sheet, copies of the SEM planning tools, and monthly performance workbooks for each site. The information was used to prepopulate the SEM...
AI summary ENS provided documentation for the SEM planning tools and performance workbooks to the Evaluator, who used them to prepopulate SEM protocols and understand key operating variables. Site visits confirmed participants' understanding of regression models, and a desktop review verified the statistical significance of the models and adjustments for 2018 savings calculations.
18.1.3 Effective Useful Life To establish the EUL of SEM, the Evaluator conducted a literature review and also questioned participants about savings persistency. The literature review revealed that there is no consensus on SEM savings pers...
AI summary The Evaluator assessed the Effective Useful Life (EUL) of Sustainable Energy Management (SEM) by reviewing literature and surveying participants. The literature review found no consensus on SEM savings persistency, and participant responses indicated varying levels of confidence in maintaining energy consumption tracking without support from Energy Nova Scotia (ENS).
18.1.4 Revised Gross Savings For incremental savings, the 2018 SEM gross energy and peak demand savings at the generator are listed in Table 22 below. The average line loss factors were obtained by dividing total gross savings at the gener...
AI summary The section discusses revised gross savings from the 2018 SEM program, including incremental energy and peak demand savings at the generator, average line loss factors, and lifetime energy savings calculated using an equivalent EUL value of 3.0 years.
Table 22: SEM Revised Gross Energy and Peak Demand Savings Incremental Savings Number of Projects 4 Energy Savings Tracked Gross Energy Savings – at the Meter (GWh) 1.597 Adjustment Ratio for Energy Savings 0.921 Gross Energy Savings – at...
AI summary Table 22 presents SEM Revised Gross Energy and Peak Demand Savings, including energy savings metrics, adjustment ratios, and peak demand savings. The table includes data on number of projects, energy savings at the meter and generator, line loss factors, and effective useful life. Section 18.2 discusses the Net-to-gross Ratio.
Table 23: SEM Revised Gross Energy and Peak Demand Savings Annual Savings Energy Savings Revised Gross Energy Savings – at the Meter (GWh) 1.471 Special Deduction (GWh) -0.089 Net Energy Savings – at the Meter (GWh) 1.382 Line Loss Factor...
AI summary Table 23 presents the revised gross energy and peak demand savings from the Sustainable Energy Management (SEM) program. It includes metrics such as energy savings at the meter and generator, line loss factors, effective useful life, and peak demand savings, providing an overview of the program's impact on energy efficiency.
Using the Nova Scotia-specific factor23 for greenhouse gas emissions generated by electricity production, 0.6126 kg CO2 eq/kWh, it was estimated that the net energy savings resulted in 891 tonnes of avoided CO2 eq annually. Based on an equ...
AI summary The text discusses energy savings from the SEM program, using a Nova Scotia-specific factor to estimate avoided greenhouse gas emissions. It also notes a discrepancy in the NTGR value due to an adjustment for the BER Instant Rebates project, with a recommendation to use a NTGR of 1.00 in 2019.
On-site Visit Protocol In 2018, the Evaluator made only minor improvement to the on-site visit protocol used for the 2017 evaluation. The on-site protocol form was used by the Evaluator to collect technical data and summarize information,...
AI summary In 2018, the Evaluator made minor improvements to the on-site visit protocol used for the 2017 evaluation. The protocol form was used to collect technical data and summarize information, including project details, building systems, and previous M&V activities. Prior to visits, the Evaluator reviewed project documentation submitted by Efficiency Nova Scotia.
Factor (READ AND RANDOMIZE) Responses a. The program financial incentives Response 97 N/A 98 Don't Know 99 Refused b. The recommendations and technical assistance provided by the Business Development Manager or other ENS staff in selecting...
AI summary The text presents a table with factors related to energy efficiency programs and responses, including questions about financial incentives, technical assistance, and decision-making criteria such as payback period thresholds. The responses are categorized as N/A, Don't Know, or Refused.
Non-prescriptiv e lighting measur es (Lighting measures incented through New Constructio n) Measure 1: Name Description from documentation On-site visit As modeled by participant Changes to model by Econoler Location Туре Fixture Quantity...
AI summary The document contains a table with lighting and building envelope measures, including descriptions, on-site visits, modeling by participants, and changes to the model by Econoler. It outlines various measures, their locations, types, quantities, wattage, schedules, and comments.
Savings Equations This project involved replacing seven old refrigeration condensers with three new efficient compressors and upgrading three older pumps with one new efficient pump. Documenting the energy savings calculations consisted of...
AI summary The project involved replacing old refrigeration condensers and pumps with more efficient models. Energy savings were calculated using an Excel workbook with two tables, applying the standard three-phase power formula to compute power demand and energy consumption for both basecase and proposed case scenarios.
Figure 2: Revised Savings Values Revisved Sav /ings Energy Demand Case # Units Amps Volts Phase PF Hrs/day Days/yr % On Annual kWh kW Defriceration Base Case 7 9.96 575 3 0.85 24 182.5 100% 258,511 59.0 Refrigeration Condensing 1 6.54 575...
AI summary Figure 2 presents revised savings values for energy and demand across different cases, showing a decrease in annual energy savings by 21,720 kWh/year and an increase in demand savings by 7.30 kW. The data includes details for refrigeration, pumps, and other units under base and efficient cases.
to identify discrepancies in energy models. The more in-depth review of energy models conducted during the 2017 evaluation identified discrepancies in all five projects and resulted in significant downward adjustments to savings. Modelling...
AI summary The evaluation identified discrepancies in energy models across five projects, leading to significant downward adjustments in savings. Heat pump systems and manual baseline adjustments were problematic. The Evaluator recommends a systematic review process and the provision of tools and training to ENS staff for better technical reviews of energy models.
8. Estimated Useful Life of the project Type of replacement If early replacement, indicate the remaining useful life of th ne equipment Observations that justify the type of replacement choice Main equipment considered in EUL calculation T...
AI summary The text provides a table related to the estimated useful life of a project and energy and demand savings adjustments. It includes fields for equipment replacement, energy savings, demand savings, and peak coincidence factor (PCF) adjustments. The table also includes notes on project status and adjustments made to energy and demand savings.
This appendix summarizes all the recommendations made by the Evaluator as part of the 2018 EMIS and SEM evaluations, as well as all 2017 evaluation recommendations that were not fully implemented. Sections Recommendations SEM Project Revie...
AI summary This appendix outlines recommendations from the Evaluator regarding the 2018 EMIS and SEM evaluations, emphasizing the need for ENS and service providers to track peak demand savings and prepare incremental baselines for future SEM cohorts.
Table 1: SBES Overall Participation and Savings in 2018 Participation Level Gross Savings NTGR Net Savings Audit Path Energy Savings 0.912 GWh 0.95 0.868 GWh Lifetime Energy Savings 281 13.903 GWh 0.95 13.272 GWh Peak Demand Savings 0.204...
AI summary Table 1 presents the participation levels and savings from the Small Business Energy Solutions (SBES) program in 2018, including both audit and DIY paths, with metrics such as gross and net energy savings, peak demand savings, and NTGR factors.
SBES Performance SBES aimed to achieve 9.6 GWh in net electrical energy savings and 1.7 MW in net peak demand savings at the generator in 2018. The Evaluator determined that SBES achieved 9.589 GWh in net electrical energy savings and 1.44...
AI summary SBES achieved 9.589 GWh in net electrical energy savings and 1.441 MW in net peak demand savings in 2018, contributing to 5,874 tonnes of CO2 eq in avoided greenhouse gas emissions. A total of 529 projects were completed, a 30% increase from 2017, including four projects from the AMH pilot.
2 SBES EVALUATION OBJECTIVE AND METHODOLOGY The main objectives of the SBES evaluation are as follows: - › Collecting information during site visits on non-lighting measures that participants are most interested in upgrading - › Calculatin...
AI summary The SBES evaluation aims to collect information on non-lighting measures participants are interested in upgrading and to calculate program results such as energy savings and GHG emissions. The methodology includes reviewing program documentation, meeting with the program manager, and using a sample-based approach with a 10% margin of error at a 90% confidence level.
Project Reviews and On-site Visits In October and November 2018, a technical review of the project documentation and on-site visits were carried out by Equilibrium Engineering for a sample of projects. The sampling methodology and the prot...
AI summary In 2018, Equilibrium Engineering conducted technical reviews and on-site visits for 50 SBES projects to validate energy efficiency measures and assess spillover effects. The reviews focused on verifying project data, equipment details, and participant interest in additional upgrades.
4 SBES IMPACT EVALUATION The objective of the 2018 SBES impact evaluation was to determine the gross and net electrical energy and peak demand savings. This section discusses the gross and net savings results, as well as the findings from...
AI summary The 2018 SBES impact evaluation aimed to assess gross and net electrical energy and peak demand savings, discussing results from energy audits and on-site visits.
4.1.4 Effective Useful Life As part of the 2018 evaluation, the Evaluator reviewed the effective useful life (EUL) values used by ENS to calculate energy savings that are expected to persist over time. The EUL values established through a...
AI summary The 2018 evaluation reviewed Energy Nova Scotia's effective useful life (EUL) values for calculating energy savings. The EUL values from the 2017 evaluation were used, with revisions for lighting measures. The revised EUL values were found to be higher than tracked values, with a weighted average of 12.4 years compared to 11.4 years.
4.3 Net Savings Net savings are defined as the energy use reductions that are specifically attributable to SBES. Program component net impacts were estimated by applying the NTGR listed above to the revised gross savings by using the follo...
AI summary The document discusses net savings from the Smart Building Energy Savings (SBES) program, including energy use reductions, calculations using the NTGR factor, and the impact on GHG emissions. It provides data on energy and demand savings, as well as the methodology used to estimate net savings and their environmental benefits.
Water Heating: Heat Pump or Switch to Natural Gas New HP COP: Manufacturer & Model #: Is the HWHP used for DHW heating? Space Heating Energy Type? Hot Water Demand Metric Hot Water temp? Hours per day operation? Is HWHP in conditioned loca...
AI summary The text presents a table for collecting information related to water heating systems, including heat pumps and natural gas, as well as commercial dish washers. It outlines data points such as manufacturer details, operational parameters, and energy usage metrics for tracking and evaluation purposes.
Revised Savings Calculation The revised savings calculations are based on two adjustments, and, as a result, the energy and demand savings have been impacted. The first adjustment made was the revision of the base case HVAC systems to thos...
AI summary The revised savings calculations involved two adjustments: revising the base case HVAC systems to reflect actual site conditions and correcting the Cooling Efficiency Factor. These changes impacted both energy and demand savings estimates. The baseline HSPF was updated, but the Coefficient of Performance at -15°C remained undetermined, leading to nil demand savings. The discrepancy in the Cooling Efficiency Factor value was not fully explained due to insufficient documentation.
Table 3: An Example of the Revised Variables Calculation Measure – 10-ton Rooftop Heat Pump Parameter Value Source Heating Capacity 82.5 AHRI Ratings Low Temp Heating Capacity 0 Manual override for DS Cooling Capacity 114 AHRI Ratings Heat...
AI summary Table 3 provides an example of the revised variables calculation for a 10-ton rooftop heat pump, including parameters such as heating and cooling capacity, efficiency factors, full load hours, and energy savings. The table highlights differences between base case and efficient case scenarios.
Lighting Measures As part of the 2018 evaluation, the Evaluator updated the EUL values of each lighting measure type as it is now one year nearer to the effective date of incoming regulations. The same methodology as that of last year was...
AI summary The 2018 evaluation updated Equivalent Useful Life (EUL) values for lighting measures, using the same methodology as 2017 but adjusting the first year to 2018. EUL values were calculated based on annual hours of use from BER Instant Rebates and rated life estimates from product specifications. Changes were made to outdoor LED fixtures and wall-mounted luminaires, with recalculations for specific lamp types.
General-use and decorative lamps The methodology used for establishing the equivalent EUL of general-use and decorative lamps is based on the information shown in [Table](#page-98-0) 4 and the equation below. The equivalent EUL calculation...
AI summary The document explains the methodology for calculating the equivalent EUL (Energy Use Life) of general-use and decorative lamps, using a blend of incandescent and halogen incandescent lamps as the baseline technology. The calculation considers the remaining lifetime of lamps, the impact of legislation changes, and the use of LED A-type lamps with a rated life of 25,000 hours.
The 2018 evaluation served to estimate the 2018 annual impact on energy and peak demand savings as a result of introducing new regulations into the Nova Scotia market, which govern the products targeted by the federal government's Amendmen...
AI summary The 2018 evaluation estimated energy and peak demand savings from new regulations in Nova Scotia, including federal Amendment 13 and provincial MEPS regulations. The savings were 23.809 GWh and 4.008 MW at the generator, equivalent to 14,585 tonnes of CO2 eq in avoided GHG emissions.
Table 2: Evaluated Energy and Peak Demand Savings at the Generator for 2018 Product Energy Savings at the Generator (GWh) Peak Demand Savings at the Generator (MW) Incandescent Lamps 9.899 1.178 LED Street Lighting 1.291 0.321 New Building...
AI summary Table 2 presents energy and peak demand savings at the generator for 2018, attributed to various products and building categories. The savings from Codes & Standards (C&S) are distinct from those from Energy Nova Scotia (ENS) programs, as C&S savings result from increased mandatory minimum efficiency levels, while ENS savings are based on product efficiency improvements compared to regulated standards.
Recommendations International experience and the Evaluator's own experience suggest that evaluating the energy impact of regulations or policies is usually more difficult than calculating the impacts of DSM programs that have lists of part...
AI summary The Evaluator recommends removing houses, small buildings, and incandescent lamps from the scope of the 2019 C&S evaluation due to negligible energy impact and existing reporting. The focus should shift to more recent lighting regulations and large buildings under the 2015 NECB.
2 METHODOLOGY Figure 1 below illustrates the research strategy used and the various activities carried out as part of the 2018 evaluation. Figure 1: Methodological Model The Evaluator selected the standards to be evaluated based on the pre...
AI summary The 2018 evaluation aimed to quantify the annual impact of seven regulations in the Nova Scotia market by assessing market size, the portion of the market affected, and unitary savings values based on energy consumption differences between previous and new regulations.
Secondary Data Collection This evaluation made extensive use of the market data provided by industry associations, particularly Electro-Federation Canada (EFC, with lamp-related shipment data), the Association of Home Appliance Manufacture...
AI summary The evaluation used market data from industry associations and government sources to estimate product market sizes in Nova Scotia. Data from 2018 was used, with projections based on historical trends and population ratios. A methodology summary is provided in Table 4.
Table 4: Methodology Used to Estimate Market Sizes Source for Estimating Total Shipments Sent to Canada or the Atlantic Region Method for Estimating Total Shipments Sent to Canada or the Atlantic Region Method for Estimating Shipments Sent...
AI summary Table 4 outlines the methodology used to estimate market sizes for various product categories in Nova Scotia. It includes sources such as industry associations, CMHC/StatCan, and Nova Scotia municipalities, along with methods like population ratio calculations and trade data analysis.
Analysis Once all the interviews were completed and the data were collected, market size estimates were developed. With the market size for each product category, the portion of the Atlantic market impacted by the regulations were determin...
AI summary The analysis estimates the market impact of new regulations in Nova Scotia by determining the number of units affected and the resulting energy savings. Efforts were made to avoid overlap with savings from ENS programs, as C&S savings stem from increasing regulated minimum efficiency standards, while ENS savings are based on product efficiency improvements.
Table 9: Interactive Effects Calculations for Lighting Products Parameter % of Homes14 Energy Interactive Effects Factor15 Peak Demand Interactive Effects Factor Heat Pump Heating with Air Conditioning 15% -24.0% -90.0% Electrical Heating...
AI summary Table 9 presents interactive effects calculations for lighting products, showing how different heating and air conditioning configurations impact energy use and peak demand. The weighted interactive effects factors are -22.20% for energy and -43.00% for peak demand.
Table 10: Energy Savings Associated with Phasing Out Incandescent Light Lamps in the Nova Scotia Market Product Class Shipments to Nova Scotia Affected by the Standard in 2018 (lamps) Annual Energy Savings (kWh/yr/lamp) Interactive Effects...
AI summary Table 10 outlines the energy savings associated with phasing out incandescent light lamps in Nova Scotia, showing the number of lamps, annual energy savings per lamp, interactive effects factor, and total energy savings in 2018. The table highlights energy savings for different wattage classes and provides a total energy savings of 9.000 GWh.
Peak demand savings correspond to the demand savings that coincide in time with the peak demand of the electricity system. The projected electricity demand peak period in Nova Scotia is between 5 p.m. and 7 p.m. from December through Febru...
AI summary The document discusses peak demand savings and the use of the NERHOU ratio for incandescent lamps. It highlights that the 2017 Evaluation Report's recommendation remains valid and that the NERHOU ratio is preferred due to its accuracy and lower margin of error. Interactive effects are accounted for using factors outlined in Table 11.
3.2.4 Portion of the Market Impacted by the Regulation In the abovementioned report, DMD & Associates Ltd. estimated that street light total electricity consumption in 2009 was 88,886,988 kWh. This represents an average annual electricity...
AI summary The text discusses the impact of LED street light conversions in Nova Scotia, highlighting the ownership transfer of street lights to HRM in 2014 and the subsequent replacement of units with LEDs. It details the number of conversions by HRM and NSP, estimates the energy savings, and notes potential underestimation due to non-response from some municipalities.
3.3.3 Market Size Estimate To estimate market size, the Evaluator analyzed the data available from Statistics Canada regarding the monetary value represented by building permits for residential, commercial, and industrial buildings in the...
AI summary The Evaluator estimated market size by analyzing building permit data from Statistics Canada for residential, commercial, and industrial buildings in Nova Scotia up to November 2018. The data is used to understand the monetary value of construction activity in the province.
Large Buildings, Condos and Apartments Table 19 further below outlines the estimated floor areas of commercial and industrial facilities built in 2018 in Nova Scotia. The first line in Table 19 provides an estimate of the multiple housing...
AI summary The document discusses the estimated floor areas and construction values for residential, commercial, and industrial buildings in Nova Scotia in 2018, based on building permit data and assumptions about construction costs and energy use. It references a 2009 Natural Resources Canada study to estimate the breakdown of commercial sector floor area into small and large-scale projects.
3.3.4 Unitary Savings Values The Evaluator estimated the unitary savings values separately for (1) houses and small buildings, and (2) large buildings, apartments and condos (including multi-unit residential units). Industrial N/A 103,359,...
AI summary The Evaluator estimated unitary savings values for different building types, including houses, small buildings, and large buildings, apartments, and condos. The data includes industrial values and various numerical figures.
The number of buildings is based on approximately 50 units per building on average. 48 Construction Innovation. (2016). Changes in Part 9 of NBC 2015. Retrieved from https://www.nrc-cnrc.gc.ca/ci- ic/en/article/v20n1-4/ (Last accessed Febr...
AI summary The analysis estimates the number of buildings based on an average of 50 units per building. It references studies on building codes and energy efficiency, including the 2012 Revision of Part 9 of the NBC and the EnerGuide ratings of homes built before and after the regulation. The average EnerGuide rating of homes built prior to the new regulations was 77, and the implementation of the new regulations is expected to increase this rating by 1.
51 Corporate Research Associates Inc., 2011 ENS Socket Study, Final Report prepared for Efficiency Nova Scotia, December 2011. 52 Caneta Research. (2017). NECB 2015 Update to Economic Analysis for Archetype Buildings. Retrieved from https:...
AI summary Table 21 compares the estimated electrical energy savings from adopting NECB 2015 relative to NECB 2011 by building type, with savings ranging from 1.35% for warehouses to 5% for office buildings.
Table 22: Energy Savings Associated with the Introduction of the Building Code Regulation in the Houses and Small Buildings Sectors in the Nova Scotia Market Product Class Number of Single Houses Non-compliance Rate (%) Annual Energy Savin...
AI summary Table 22 outlines energy savings from the introduction of the Building Code Regulation in the Houses and Small Buildings sectors in Nova Scotia. It indicates that 58% of 1,869 single houses were non-compliant, resulting in an annual energy saving of 1,278 kWh per house and a total incremental energy saving of 1.385 GWh in 2018.
Table 23: Energy Savings Associated with the Introduction of the Building Code Regulation for Large Buildings, Apartments and Condominiums Building Type Total Floor Area (m2) Energy Savings (kWh/m2) Total Energy Savings at the Meter in 201...
AI summary Table 23 presents energy savings associated with the introduction of the Building Code Regulation for various building types in Nova Scotia, including multi-unit residential, commercial, and industrial buildings. The data highlights the total floor area, energy savings per square meter, and total energy savings at the meter in 2018.
In Amendment 13, NRCan specifies the average unitary savings values for Tier I and Tier II clothes washer categories according to their water heating sources, as listed in Table 28 below.56 Higherefficiency clothes washers use less water i...
AI summary Amendment 13 outlines average unitary savings values for Tier I and Tier II clothes washers based on water heating sources. Higher efficiency washers reduce water usage, leading to savings in domestic hot water heating, especially if electrically heated. The Evaluator used 2018 Instant Savings evaluation data to calculate a weighted average for Nova Scotia.
Interactive effects occur when the implementation of energy efficiency measures has an impact on the energy consumption of other elements such as heating and cooling. In the case of C&S, replacing lamps with more efficient products causes...
AI summary The text discusses interactive effects of energy efficiency measures, specifically focusing on how replacing lamps with more efficient products affects heating and cooling loads. The Evaluator used factors derived from past evaluations and onsite visits to calculate these effects for residential and commercial/industrial lamps, adjusting for factors like recessed fixtures.
Table 46: Peak Demand-to-energy Ratios for Commercial and Industrial Lamps Type of Building Average Peak Demand to-energy Ratio per Sector (W/kWh) Overall Average Peak Demand-to-energy Ratio (W/kWh) Commercial 0.125 Industrial 0.180 0.139...
AI summary Table 46 presents peak demand-to-energy ratios for commercial and industrial lamps, showing 0.125 for commercial and 0.180 for industrial. The text notes that interactive effects factors from Subsection 3.6.6 were applied to residential lamps, while commercial and industrial ratios already accounted for these effects through whole-building energy modelling.
Table 49: Fluorescent Lamp Ballast Market Size Estimates for Nova Scotia, 2018 Product Class NRCan Share of Class Shipments in 2017 Actual Shipments to Nova Scotia in 2018 Com – 2 lamp med bi-pin (IS) 4-ft 84% 16,402 Ind – 2 lamp med bi-pi...
AI summary Table 49 presents market size estimates for fluorescent lamp ballast shipments in Nova Scotia in 2018, categorized by product class and usage (commercial, industrial, residential), with data on NRCan share of class shipments in 2017 and actual shipments in 2018.
Table 52: Interactive Effects for Fluorescent Lamp Ballasts Product Class Energy Interactive Effects Factor Peak Demand Interactive Effects Factor Com – 2 lamp med bi-pin (IS) 4-ft -2.32% - Ind – 2 lamp med bi-pin (IS) 4-ft -2.32% - Res –...
AI summary Table 52 presents interactive effects for various fluorescent lamp ballasts, showing energy and peak demand effects for different product classes and usage categories (commercial, industrial, residential). The data indicates significant differences in impact across categories, particularly for residential applications.
Table 54: Peak Demand Savings Associated with the Introduction of Fluorescent Lamp Standards in the Nova Scotia Market Product Class Total Energy Savings at the Meter in 2018 (GWh) Adjusted Peak Demand-to-energy Ratio (MW/GWh) Total Peak D...
AI summary Table 54 provides data on peak demand savings from the introduction of fluorescent lamp standards in Nova Scotia, showing energy savings and their impact on peak demand across different product classes and sectors.
3.8 Total Savings at the Generator Incremental annual energy savings at the meter were calculated by taking into account all product categories for which information about the market size, non-compliance rates, and unitary savings values w...
AI summary The text discusses the calculation of incremental annual energy savings at the generator, taking into account transmission and distribution losses for different sectors. It also estimates the 2018 overall energy and peak demand savings for C&S and the corresponding avoided CO2 emissions based on Nova Scotia Power's 2017 data.
Table 55: Codes and Standards Overall Incremental Annual Energy and Peak Demand Savings, 2018 Pr du Ca t te o c g or y In de t ca n sc en La m p s D S L E t L tre e ig h in t g Ne w Bu i l d in g s ( Ho d us es a n Sm l l a i in ) Bu l d g...
AI summary Table 55 presents the overall incremental annual energy and peak demand savings from codes and standards in 2018, categorized by different types of lighting and building types. The data includes savings for various lamp types and building categories.
3.9 Recommendations International experience and the Evaluator's own experience suggest that evaluating the energy impact of regulations or policies is usually more difficult than calculating the impacts of DSM programs that have lists of...
AI summary The Evaluator recommends removing houses, small buildings, and incandescent lamps from the scope of the 2019 C&S evaluation due to negligible energy impact and existing reporting on past regulations. Large buildings, condos, and apartments with updated energy codes should remain in the evaluation scope.
This appendix summarizes all the recommendations made by the Evaluator as part of the 2018 evaluation. There were no incomplete 2017 recommendations at the time of writing. Sections Recommendations Executive Summary Consider removing house...
AI summary The appendix outlines recommendations from the Evaluator for the 2019 evaluation. It suggests removing houses and small buildings from the scope due to negligible impact from the 2015 NBC, while retaining large buildings and the 2015 NECB. Incandescent lamps are also recommended for removal, with a focus on more recent lighting regulations.