E-1Application
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der facilitation. For EMIS, this is addressed through financial incentives for initial audit, energy management information system implementation plan and installation. Lack of internal commitment & technical expertise: in-house staff may...
AI summary The document discusses challenges in implementing energy management systems (EMIS) and strategic energy management (SEM), including lack of internal commitment, technical expertise, and time constraints. These are addressed through financial and technical assistance, education, and support from E1 and service providers. Financial incentives are used to shorten payback periods for energy efficiency projects.
5 5.2.2.2 STRATEGIC ENERGY MANAGEMENT & ENERGY MANAGEMENT 6 INFORMATION SYSTEMS PROGRAM COMPONENT Strategic Energy Management (SEM) offers qualifying industrial organizations a comprehensive approach to energy management. Participants work...
AI summary The Strategic Energy Management (SEM) and Energy Management Information Systems (EMIS) program components provide industrial organizations with tools and support to improve energy efficiency. SEM offers a structured approach to energy management, while EMIS provides financial incentives for implementing technical systems to manage energy use more effectively.
22 Table 46: Three-Year Summary of the SEM & EMIS Program Component Annual Plan Investment ($M) Energy Savings (GWh) Demand Savings (MW) Participation (participants) 2023 Total 0.9 2.7 0.3 8 2024 Total 0.9 2.7 0.3 8 2025 Total 0.9 2.7 0.3...
AI summary Table 46 summarizes the three-year investment, energy savings, demand savings, and participation numbers for the SEM and EMIS program components. The SEM and EMIS programs target industrial and commercial/institutional customers, focusing on larger energy users.
5.2.3.1 PROGRAM DELIVERY - The Custom Incentives program structure is designed to overcome customer barriers associated with large - upfront costs, lack of in-house capacity and business case requirements. The program is delivered through...
AI summary The Custom Incentives program is structured to help customers overcome barriers to energy efficiency by providing financial and technical support. It involves multiple service components like Retrofit, NC, BOpt, EMIS, and SEM, each with different processes, incentives, and target markets. External consultants and service providers are engaged to deliver these services, ensuring compliance with industry standards and program goals.
ehouse. The DR Roadmap provides additional implementation details and considers how DR can ramp over the period 2021-2030. The DR Roadmap has been included as Attachment 5 – Demand Response Roadmap. E1's DSM Plan proposes expanding the dir...
AI summary The document discusses E1's Demand Response (DR) Roadmap and expansion of DR pathways, including behavioural DR, electric vehicle charging, and behind-the-meter battery. It highlights the inclusion of these new pathways to test technologies and delivery approaches, and to provide customers with more choices. The DR Roadmap and related studies are referenced, along with regulatory actions and legislation.
6.3.1 RESIDENTIAL DEMAND RESPONSE PROGRAM COMPONENT - The Residential DR program component aims to help facilitate a more flexible residential load that may - provide residential customers with economic incentives and/or more visibility an...
AI summary The Residential Demand Response (DR) program component aims to enhance residential load flexibility and provide customers with economic incentives and greater control over their energy usage. E1 will explore five implementation pathways, including battery control and direct load control, with details outlined in Table 55 and Attachment 5.
E-22021 DSM Evaluation Reports
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DEFINITIONS Reflects the proximity of measurements to the true value. The ratio of evaluated results to tracked results. This ratio expresses the adjustment made to tracked savings or other tracked values such as effective useful life. To...
AI summary The document defines key terms related to energy efficiency, measurement accuracy, and performance evaluation, including concepts like baseline establishment, displaced wattage, EnerGuide ratings, and effective useful life. These definitions support the evaluation of energy savings and efficiency measures.
2.1.2 Data-collection Tool Development and Sampling Strategy Data-collection tool development and sampling were carried out for Instant Savings, Efficiency Product Installation, Affordable Multifamily Housing, Green Heat, Business Energy R...
AI summary The section outlines the development of data-collection tools and sampling strategies for programs like Instant Savings, Efficiency Product Installation, and Business Energy Rebates. Instruments included surveys, interviews, and review protocols, informed by documentation and staff interviews, with an integrated approach to support process and market evaluations.
Table 3: 2021 Interviews Completed Program Component Program Manager 1 / EOne Staff Service Provider/ Distributors Participants Retailers Program Administrators Residential Appliance Retirement 2 - - - - Instant Savings 2 - - 8 - Home Ener...
AI summary Table 3 presents the number of interviews conducted in 2021 across various program components and stakeholder groups, including program managers, service providers, participants, and program administrators. The data highlights engagement levels for different programs such as appliance retirement, instant savings, and market transformation.
2.1.4 Effective Useful Life Review The Evaluator reviewed the EUL values for any new measures to ensure they were valid and revised them where appropriate. The EUL update was based on a literature review of the most recent technical refere...
AI summary The Evaluator reviewed and revised effective useful life (EUL) values for energy efficiency measures based on technical reference manuals and considered the evolution of baselines over time to calculate lifetime energy savings and adjusted EUL for projects.
sed for Appliance Retirement, Home Energy Assessment, and New Home Construction. The Evaluator did not establish free-ridership and spillover levels for the following program components and services: - › Energy Management Information Syste...
AI summary The Evaluator found no free-ridership or spillover effects for Energy Management Information Systems, Strategic Energy Management, and low-income and Mi'kmaw community programs due to limited market penetration and prior knowledge.
Energy Management Information Systems The key findings of the EMIS impact evaluation were as follows: - › Due to a low level of participation, EMIS net energy savings did not reach target levels. - › Both the evaluated energy and peak dema...
AI summary The EMIS impact evaluation found that participation levels were low, resulting in energy savings not meeting targets. Evaluated energy and peak demand savings matched those tracked by EOne.
ABBREVIATIONS BAS Building automation system BDM Business development manager BNI Business, non-profit, and institutional BPA Bouthillette Parizeau COP Coefficient of performance CPA Custom Project Agreement DSM Demand-side management EMIS...
AI summary This section provides a list of abbreviations used in the document, including terms related to energy management, building automation, efficiency programs, and regulatory processes. Each abbreviation is paired with its full form for clarity and reference.
14 EMIS OVERVIEW This section describes the Energy Management Information Systems (EMIS) program component, follows up on past evaluation recommendations, and provides an overview of participation history.
AI summary This section outlines the Energy Management Information Systems (EMIS) program component, addresses past evaluation recommendations, and provides an overview of participation history.
14.2 Follow-up on Past Evaluation Report Recommendations The Evaluator evaluated EMIS in previous years and issued improvement recommendations. [Table](#page-96-2) 36 provides a summary of the implementation status of each recommendation p...
AI summary The Evaluator reviewed the implementation status of past recommendations related to the Energy Management Information System (EMIS) from the 2020 Evaluation Report. No recommendations from previous years have been carried forward.
# Recommendations Status Comments 2020 EMIS – R1 Use the Evaluator's peak demand savings calculation guidelines to develop a protocol to track peak demand savings. Being implemented Although EOne has taken proper note of the approach recom...
AI summary The document discusses the implementation status of a recommendation related to the Energy Management Information System (EMIS), specifically the use of the Evaluator's peak demand savings calculation guidelines to develop a tracking protocol. The recommendation is currently being implemented, though not yet formally included in internal guidelines.
14.3 Participation History Only one participant took part in EMIS in 2021, and that participant was also an SEM participant; therefore, their savings were divided between the two program components. The participant was a continuing partici...
AI summary In 2021, only one participant joined the Energy Management Information System (EMIS) program, and they were also part of the Strategic Energy Management (SEM) program. Their savings were split between the two programs. Participation and savings under EMIS have been declining since 2015. The participant had been active in SEM for four years and thus generated minimal additional savings in 2021.
15 EMIS EVALUATION APPROACH The 2021 EMIS evaluation comprises a comprehensive impact evaluation. The main objective of the EMIS evaluation is as follows: › Calculate gross and net EMIS results, namely electrical first-year and lifetime en...
AI summary The 2021 EMIS evaluation aims to calculate gross and net energy savings, peak demand savings, and avoided GHG emissions. The evaluation approach includes tracking sheet audits, desk reviews, site visits, phone interviews, and calculations using evaluation results.
Desk Reviews and Phone Interviews In January 2021, a savings review was conducted through desk reviews supported by phone interviews. The Evaluator also contacted the service provider for clarifications. Since the only EMIS participant thi...
AI summary In January 2021, a savings review was conducted using desk reviews and phone interviews. The Evaluator contacted the service provider for clarifications. Since the only EMIS participant was also an SEM participant, the SEM project review protocol was used for EMIS projects. First-year savings are based on typical energy consumption and do not consider changes due to the COVID-19 pandemic.
16 EMIS IMPACT EVALUATION The objective of the 2021 EMIS impact evaluation is to determine gross and net electrical energy and peak demand savings, as well as annually avoided GHG emissions, EUL, and associated lifetime energy savings.
AI summary The 2021 EMIS impact evaluation aims to assess gross and net electrical energy and peak demand savings, along with annually avoided GHG emissions, EUL, and associated lifetime energy savings.
16.1 Impact Definitions [Table](#page-100-2) 38 defines certain terms to allow the reader to better understand the vocabulary and concepts used in the EMIS Impact Evaluation section of this report. SEM and EMIS vocabulary being the same, t...
AI summary Section 16.1 defines key terms used in the EMIS Impact Evaluation and SEM program components, ensuring consistency in vocabulary and concepts for better understanding.
Table 38: Definition of Terms Related to EMIS and SEM 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 38 defines key terms related to Energy Management Information Systems (EMIS) and Strategic Energy Management (SEM), including baseline, baseline period, cumulative savings, and incremental savings. Definitions are drawn from the IPMVP where indicated.
16.3.4 Evaluated Gross Savings EMIS gross incremental energy and peak demand savings are listed in [Table](#page-102-1) 39 below. Gross incremental energy savings at the generator were established at 0.027 GWh while gross peak demand savin...
AI summary The document discusses evaluated gross savings from EMIS, including energy and peak demand savings at the generator level. It mentions the use of line loss factors from the 2014 Cost of Service Study Progress Update to estimate these savings, with a calculated EUL of two years.
16.4.1 Evaluated Net Savings Net savings are defined as the changes in energy use that are specifically attributable to EMIS. Since spillover and free-ridership effects were considered nil, the net program component impacts are equal to th...
AI summary Net savings from the EMIS program are calculated based on changes in energy use specifically attributable to the system, with no spillover or free-ridership effects. In 2021, the program achieved 0.027 GWh of energy savings and 0.003 MW of peak demand reduction, resulting in 16 tonnes of annually avoided CO2 eq emissions.
A comparison of the energy and peak demand savings values established through this evaluation and those tracked by EOne is presented in [Table](#page-104-0) 41. The realization rate, representing the ratio of evaluated net savings to track...
AI summary The evaluation shows a 100% realization rate for both energy and peak demand savings compared to EOne's tracked values. Data on Nova Scotia Power's emissions and electricity generation were sourced from 2020 reports, with 2021 data not yet available.
17 EMIS KEY FINDINGS AND RECOMMENDATIONS As mentioned previously, the main objectives of the 2021 EMIS evaluation were as follows: › Calculate gross and net EMIS results, namely electrical first-year and lifetime energy savings, peak deman...
AI summary In 2021, the EMIS program achieved significantly lower energy and peak demand savings than planned due to low participation, with only one participant. The savings tracked by the Evaluator matched those reported by EOne, and no adjustments were needed for the single project that generated savings.
EOne applied a peak coincidence factor (PCF) of zero when the measure indeed operated during the peak demand period. These two adjustments resulted in a 163% realization rate for peak demand savings. The Evaluator noted that, for 2021, few...
AI summary EOne used a peak coincidence factor of zero during peak demand periods, resulting in a 163% realization rate for peak demand savings. The Evaluator noted that in 2021, fewer participants used whole-facility energy models (top-down approach), with most using measure-specific M&V (bottom-up approach). Reference protocols recommend limiting bottom-up approaches unless whole-facility models are not feasible.
20.2.2 Interactive Effects For the two projects for which savings were established based on a whole-facility model, the review confirmed that the whole facility was metered and, since measurement boundaries included all existing systems, i...
AI summary The review confirmed that interactive effects were already included in metered savings for projects using a whole-facility model. For projects using a bottom-up approach, no interactive effects were found to impact the concerned measures, so no additional adjustments were made.
20.2.4 Evaluated Gross Savings The 2021 evaluated SEM gross energy and peak demand savings at the generator are listed in [Table](#page-116-1) 44 below. Gross incremental energy and peak demand savings at the generator were established at...
AI summary The 2021 evaluated SEM gross energy and peak demand savings at the generator are listed in Table 44, with 1.845 GWh and 0.282 MW respectively. Lifetime energy savings amounted to 10.402 GWh, resulting in an average equivalent EUL of 5.6 years. These savings were estimated using line loss factors from the 2014 Cost of Service Study Progress Update.
2021 SEM-Finding: The SEM participation level has remained stable over the past four years. Six facilities participated in SEM in 2021, which corresponds to the average for the previous three years. Similarly, the energy savings achieved p...
AI summary The SEM participation level has remained stable over the past four years, with six facilities participating in 2021, consistent with the average of the previous three years. Energy savings per participant have also remained stable.
2021 SEM-Finding: The savings measurement approaches are now more diversified, and an increasing proportion of participants use a bottom-up approach. The Evaluator noted that only two of the six participants used a whole-facility energy mo...
AI summary The 2021 SEM-Finding highlights that savings measurement approaches are more diversified, with an increasing use of bottom-up methods. The Evaluator expressed concerns that bottom-up approaches may miss operational and behavioral improvements, leading to fewer overall savings. Guidelines for bottom-up approaches are recommended to align with program objectives and ensure consistency with energy management strategies.
Custom Appendix I Custom: Tracking Sheet Audit Appendix II Custom: OEM Operational Demand Savings Pilot Participant Interview Guide Appendix III Custom: New Construction CPA Stage Participant Interview Guide Appendix IV Custom: New Constru...
AI summary The text lists various appendices related to audits, interview guides, project review protocols, and algorithms for a custom tracking sheet and energy management system. These appendices are likely part of a regulatory or program evaluation process involving energy efficiency initiatives.
Data Accuracy [Table](#page-127-1) 1 lists all the parameters required for the Custom evaluation. Based on a comparison with previous evaluation results, the Evaluator validated whether or not the data contained in the tracking sheet submi...
AI summary The document discusses the validation of data accuracy in the Custom evaluation process, comparing it with previous results and detailing adjustments made by the Evaluator to ensure completeness and accuracy of the data submitted by EOne.
Table 1: Verification of 2021 Custom Data Field Completeness and Accuracy Data Fields Complete (Y/N/Partial) Consistent with Previous Evaluation If Incomplete or Inconsistent, Action Taken by the Evaluator Data for Each Project or Particip...
AI summary Table 1 verifies the completeness and accuracy of 2021 custom data fields, indicating that most data fields are complete, except for Equivalent Net-to-gross Ratios, which required correction for three pilot projects.
Table 2: Verification of 2021 Custom Data Field Consistency Data Field 1 Data Field 2 Consistent (Y/N) If Not, Action Taken by the Evaluator Calculated Line Loss Factor (Gross Energy Savings at the Generator / Gross Energy Savings at the M...
AI summary Table 2 verifies the consistency of 2021 custom data fields, identifying inconsistencies in calculated line loss factors, total gross energy savings, and duplicate project IDs. Corrections were made to several projects, including adjustments for rounding errors and misalignment with system peak periods.
Table 3: Verification of 2021 Custom Savings Compilation Program Component Result Valid Equation (Y/N) If Not, Action Taken by the Evaluator Gross Energy Savings at the Generator Y N/A Gross Peak Demand Savings at the Generator Y N/A Net E...
AI summary Table 3 verifies the 2021 Custom Savings Compilation, confirming that all program component results related to energy and peak demand savings at the generator level are valid with no corrective actions required by the evaluator.
Data Accuracy Table 1 lists all the parameters required for the EMIS evaluation. The Evaluator validated whether the data contained in the tracking sheet submitted by EOne were accurate based on previous evaluation results as well as wheth...
AI summary The document discusses the validation of data accuracy in the EMIS evaluation, focusing on the parameters listed in Table 1 and the actions taken by the Evaluator to adjust data as needed based on previous results and completeness.
E-6Verification Report - Gil Peach
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ng Concepts & Methods , Second Edition, Liburn Georgia: The Fairmont Press, 1992; Gellings, Clark W. & John H. Chamberlin, Demand-Side Management Planning , Liburn, Georgia: The Fairmont Press, 1993. 4 There are other parts not shown, incl...
AI summary The document outlines the Policy, Planning, and Program cycle in Savings Verification, emphasizing how Policy guides Efficiency Nova Scotia's operations through regulatory and legislative frameworks. Planning involves creating program portfolios and projections, with each cycle step feeding information forward. The process includes evolving standards and interdependent steps within the Demand-Side Management (DSM) cycle.
IX. General Recommendations 1. Savings Verification Recommendation No. 1: The Savings Verification study recommends acceptance of the 2021 evaluation results for energy savings and for demand-reduction for all programs. SVR-1: The Savings...
AI summary The document outlines six recommendations for Efficiency Nova Scotia, focusing on verifying energy savings, extending the useful life of EMIS systems, integrating climate policy with energy practices, reviewing DER standards, and hosting seminars on climate adaptation. It emphasizes improving program efficacy, aligning with IPCC and provincial targets, and adopting innovative strategies for energy and climate policy.
10. BNI Custom Incentives Program For 2021, the BNI Custom Incentives Program includes three primary components: (1) Custom, (2) Energy Management Information Systems (EMIS) and (3) Strategic Energy Management (SEM). EMIS and SEM evaluatio...
AI summary The 2021 BNI Custom Incentives Program includes retrofit, new construction, and building optimization initiatives, with 54 completed retrofit projects and 21 new construction projects. The program also features an OEM Operational Demand Savings Pilot with three participants. An evaluator recommended improvements to accelerate savings adoption and enhance program performance.
11. BNI Energy Management Information Systems (EMIS) Energy Management Information Systems (EMIS) provide real-time energy consumption data from metered systems and enable businesses and institutions to make real-time energy decisions. The...
AI summary The EMIS program funds audits, planning, and installation of energy monitoring systems for businesses. A 2021 evaluation confirmed savings calculations were accurate, with no adjustments needed. EMIS savings depend on system optimization (e.g., supervisory control), and savings allocation is determined by administrators. The report recommends focusing on optimization to extend equipment useful life (EUL).
12. BNI Strategic Energy Management (SEM) Strategic Energy Management is an approach for integrating energy management into business practice – so that a focus on continually advancing energy-efficiency becomes an integral aspect of workpl...
AI summary Strategic Energy Management (SEM) integrates energy efficiency into business practices through staff engagement and management support. Econoler evaluated SEM's 2021 program, noting six participants and challenges due to pandemic restrictions, including limited site verification. Savings were adjusted based on self-reported data, with recommendations to enhance Effective Useful Life (EUL) by emphasizing measures or adding EMIS optimization.
E-12-(i)NSUARB IR-17 Attachment 2_ACEEE’s Entire State Database - Excel
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lso pays for small grants for individuals to purchase or maintain energy testing equipment needed for energy assessments or ratings. Last Updated: July 2021 ","There is no disclosure policy in place. Last Reviewed: July 2019 ","Executive O...
AI summary The document outlines executive orders aimed at reducing state energy consumption, including a 20% reduction target by 2011-2012 and ongoing annual reductions. Agencies must use EnergyCAP software and develop energy management plans. A Greening Government Leadership Council was established to support these efforts.
blishes a new Greening Government Leadership Council, tasked with supporting efforts to make government operations more sustainable. The Council consists of one representative from every state agency. Executive Order D 005-05, signed in Ju...
AI summary The text discusses executive orders and programs aimed at improving energy efficiency in government buildings. Executive Order D 005-05 mandates the use of LEED standards and energy management programs. Executive Order D2010-006 expands these requirements, excluding higher-educational buildings. SB 13-279 sets high efficiency standards for K-12 schools. The Clean Energy Economy for the Region (CLEER) supports energy management in public buildings, achieving significant energy savings.
200 new meters, including new water meters (unaccounted for previously). This $2 million expansion will gather information on 80 new buildings and an additional 7 million square feet of building area. The prior vendor (Enel) has morphed in...
AI summary The expansion of metering systems in state buildings includes 200 new meters, including water meters, and covers 7 million square feet of building area. The system is managed by Hatch Data, which provides real-time energy data, analytics, and integration with building management systems to improve energy efficiency and identify anomalies.
on their energy use, enabling constant commissioning improvements in buildings, and helping to identify changes in energy performance and facilitate cost-effective investments in the State’s assets. NYPA’s BuildSmart work has been enhanced...
AI summary NYPA’s BuildSmart program is enhanced by the New York Energy Manager (NYEM) system, which tracks energy usage in real time for 3,500 state buildings and is connected to 1,200 buildings. NYPA plans to expand NYEM to 20,000 buildings over five years and is hiring third-party consultants to provide advisory services. The system also provides web-based access for building managers to analyze energy data and identify savings opportunities.
ER has also begun using web-based centralized utility billing for state agencies for both electricty and natural gas, which has streamlined payment, reporting, and tracking capabilities for the State. The state has several other energy ben...
AI summary Rhode Island has implemented web-based centralized utility billing for state agencies and is engaged in energy benchmarking efforts. These initiatives include the Better Buildings Challenge, energy data inventory, and the use of tools like Portfolio Manager and EnergyCAP to track and manage energy usage across state buildings.
ity energy consumption as well as their associated utility savings. To support this goal, SFUM administers several utility savings and building energy management initiatives, including the following: Development and maintenance of an onlin...
AI summary SFUM administers energy efficiency and building management initiatives, including an online UDM platform for State facilities. The platform tracks utility costs and usage, provides bill payment and benchmarking, and offers insights to end-users. It was implemented for 72 agencies and Higher Education campuses, with access granted to 567 end-users.