E-52018 DSM Evaluation Reports
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Table 1: Types of Evaluations Conducted for Each Program Component B D 2017 2018 Program Program Component Process Market Impact Process Market Impact Residential Residential Efficient Appliance Retirement R С С Product Rebates Program Ins...
AI summary Table 1 outlines the types of evaluations conducted for various program components in residential and business energy efficiency initiatives. It includes details on process, market, and impact evaluations for different programs such as appliance retirement, product rebates, and energy management systems.
Custom Incentives In 2018, Custom Incentives achieved 14.674 GWh in net energy savings and 1.440 MW in net peak demand savings at the generator through its three components, namely Custom, Energy Management Information Systems, and Strateg...
AI summary In 2018, Custom Incentives achieved significant energy and demand savings through its three components: Custom, Energy Management Information Systems, and Strategic Energy Management, contributing 14.674 GWh in net energy savings and 1.440 MW in net peak demand savings.
Energy Management Information Systems Two participants generated savings in 2018; one was a continuing participant that began with Energy Management Information Systems in 2015 and the other was a new participant that reported savings thro...
AI summary In 2018, Energy Management Information Systems achieved 1.616 GWh in net electrical energy savings and 0.051 MW in net peak demand savings. Discrepancies in tracked savings were noted due to minor changes in calculation methods and incorrect tracking by ENS for a new project. Adjustments were made using the NTGR, which was equal to 1 for this program component.
DEFINITIONS Accuracy Reflects the proximity of measurements to the true value. Net-to-gross ratio The ratio of net energy savings to gross energy savings. Non-sampling error Errors arising during the course of all survey activities other t...
AI summary The text defines key terms related to energy efficiency and measurement, including net-to-gross ratio, peak coincidence factor, precision, and sampling errors. These definitions provide clarity on statistical and measurement concepts used in regulatory and energy efficiency contexts.
6.2 Net -to-gross Ratio2 29 18.1.4 Revised Gross Savings 61 18.2 Net-to-gross Ratio 62 18.3 Net Savings 63 19 EMIS AND SEM RECOMMENDATIONS 65 20 OVERALL SAVINGS FOR THE CUSTOM INCENTIVES PROGRAM 66 CONCLUSION 67 LIST OF TABLES Table 1: 201...
AI summary The text outlines various tables and sections related to energy efficiency programs, including net-to-gross ratios, EMIS and SEM recommendations, and overall savings for the Custom Incentives Program. It includes a list of tables covering participation, savings, implementation status, and definitions relevant to energy management systems and strategic energy management.
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.
EMIS Market Evaluation Highlights The two participants were asked questions regarding their satisfaction with EMIS, any barriers they encountered, and improvement suggestions. Although satisfaction with EMIS was high among participants, th...
AI summary Participants expressed high satisfaction with EMIS but faced challenges such as difficulty in accessing the system and being overwhelmed by data. Suggestions included forming a working group and providing more support for ongoing analysis.
EMIS Energy Savings To evaluate the energy savings, the Evaluator reviewed the preliminary project documentation provided by ENS to prepare a phone interview for the continuing participant and an on-site visit for the new participant. The...
AI summary The Evaluator reviewed EMIS Energy Savings project documentation and conducted interviews and on-site visits to validate energy savings calculations. The new participant used a building automation system for adjustments, leading to a more limited project scope. Savings were accurately tracked, and free-ridership and spillover effects were assumed to be nil due to low market penetration of energy management systems.
Strategic Energy Management SEM helps participants achieve continuous energy savings by offering a structured approach to identifying, prioritizing, and completing energy saving actions through the implementation of energy management polic...
AI summary Strategic Energy Management (SEM) supports participants in achieving continuous energy savings through structured approaches, tools, and training. The 2018 EMIS evaluation involved documentation reviews, interviews, and on-site visits to assess program effectiveness.
EMIS and SEM Recommendations Both EMIS and SEM achieved their savings targets in 2018 and participation satisfaction remained high. EMIS saw additional incremental savings being achieved in the continuing participant's fourth year of parti...
AI summary EMIS and SEM achieved their savings targets in 2018 with high participant satisfaction. However, participants rely heavily on service providers for energy performance tracking, and many lack the resources to continue independently. The Evaluator recommends reviewing program delivery to improve participant understanding and mastery of energy performance tracking.
5.1 Overview of Interviewed SPs New Construction projects require the expertise of an experienced SP to carry out one or more of the required service steps such as identifying measures, quantifying savings, completing M&V and, occasionally...
AI summary The overview discusses the role of Service Providers (SPs) in New Construction projects, emphasizing their expertise in identifying energy-saving measures, quantifying savings, and performing M&V. Data from eight interviewed SPs, including architects, modellers, and consultants, was crucial to the process and market evaluation.
Table 17: Implementation Status of the 2017 Recommendations for EMIS 2017 Recommendations Status 2017 EMIS-R1. Ensure that the tracking sheet is complete and accurate. Being Implemented 2017 EMIS-R2. Design baseline regressions and plan M&...
AI summary Table 17 outlines the implementation status of 2017 recommendations for the Energy Management Information System (EMIS). While some recommendations were implemented, discrepancies in 2018, such as incorrect savings and missing demand savings, led to the conclusion that one recommendation was only partly implemented.
The Evaluator considered recommendation 2017 EMIS-R2 as implemented since the regressions were appropriately updated and the required M&V data were tracked. In addition, ENS now includes an event log in tracking, which was sufficiently det...
AI summary The Evaluator confirmed that recommendation 2017 EMIS-R2 has been implemented, citing updated regressions and detailed event logs that track major facility changes.
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.
12 EMIS EVALUATION OBJECTIVES AND METHODOLOGY The main objectives of the EMIS evaluation are as follows: - › Reporting on participant perspectives - › Calculating program results, namely electrical first-year and lifetime energy savings, p...
AI summary The EMIS evaluation aims to report on participant perspectives and calculate program results, including energy savings and GHG emissions. The methodology involved reviewing program documentation, meeting with the program manager, and collecting data to assess the program's effectiveness.
On-site Visit and Project Review of New EMIS Participant For the new EMIS project, the Evaluator first reviewed documentation to understand the project and prepare the on-site visit protocol. The Evaluator then conducted an on-site visit t...
AI summary An on-site visit and project review were conducted for a new EMIS participant. The Evaluator reviewed documentation, performed an on-site visit to gather information on implemented measures and facility operations, and collected participant feedback to validate energy models and savings calculations. Protocols are detailed in Appendix X.
Project Review and Phone Interview with Continuing EMIS Participant For the continuing EMIS project from 2014, the Evaluator reviewed updated documentation to determine what had changed since the last evaluation. The Evaluator then conduct...
AI summary The Evaluator conducted a project review and phone interview with a continuing EMIS participant to assess changes since the last evaluation, collect information on implemented measures and facility changes in 2018, and validate 2018 incremental savings calculations.
13 EMIS MARKET EVALUATION This section describes participant perspectives on EMIS. As part of the EMIS phone and on-site visit interviews, the two participants were asked questions regarding their satisfaction with EMIS, any barriers they...
AI summary This section discusses participant perspectives on the Energy Management Information System (EMIS), including their satisfaction, encountered barriers, and suggestions for improvement based on phone and on-site interviews with two participants.
Recommendations Both participants provided improvement suggestions. One suggested that having a working group of EMIS participants a few times a year could help. The other suggested that the report should provide more specific suggestions...
AI summary Both participants suggested improvements, including forming a working group of EMIS participants and providing more specific targets in the report. They also requested more assistance with ongoing analysis.
14 EMIS IMPACT EVALUATION The objective of the 2018 EMIS project impact evaluation is to determine project gross and net electrical energy and peak demand savings.
AI summary The 2018 EMIS project impact evaluation aims to assess the project's gross and net electrical energy and peak demand savings.
14.2 Gross Savings This subsection describes the methodology used to review the two EMIS projects that generated savings in 2018 and summarizes the review findings.15 The interactive effects, EUL values, and the revised gross savings are a...
AI summary This subsection outlines the methodology used to review two EMIS projects that generated savings in 2018 and summarizes the findings, including assessments of interactive effects, EUL values, and revised gross savings.
14.2.1 Project Review Findings ENS tracked savings for two EMIS projects in 2018; one was a continuing participant in the fourth year of participation and the other was a participant that had not yet reported any annual savings. Since thos...
AI summary ENS tracked savings for two EMIS projects in 2018. One project was in its fourth year of participation, while the other had not yet reported any annual savings. The differing scopes of the projects led to separate reporting of findings.
New Participant This EMIS participant is the first one to implement an energy management system in an institutional facility, whereas other participants (including past participants), were exclusively in the medium to large industrial manu...
AI summary A new EMIS participant implemented a BAS system across multiple campuses instead of using the standard EMIS process due to the complexity of creating individual regression models. Savings documentation was prepared by the participant's energy manager, and adjustments were made to the calculation methodology. The project resulted in energy and demand savings of 19.6 kW in 2018.
14.2.2 Interactive Effects The savings associated with EMIS are usually established based on the results of metered electrical energy consumption within a defined measurement boundary encompassing specific industrial processes. This was th...
AI summary The savings from the Energy Management Information System (EMIS) are measured based on metered electrical energy consumption within a defined boundary. The continuing participant's savings were not impacted by HVAC systems, while the new participant's savings from HVAC fan control measures were not adjusted for interactive effects due to the setup of air handling units.
Table 21: Implementation Status of the 2016 Recommendations for SEM 2016 Recommendations Status 2016 SEM-R1. Continue to support SEM and identify potential new participants. Implemented 2016 SEM-R2. Continue encouraging SEM participants to...
AI summary Table 21 outlines the implementation status of the 2016 recommendations for the Sustainable Energy Management (SEM) program. Five of the seven recommendations were implemented, with details on how ENS addressed each, including new participant enrollment, EMIS integration, and tracking incremental savings.
18 SEM IMPACT EVALUATION The objective of the 2018 impact evaluation of SEM projects is to determine their gross and net electrical energy and peak demand savings. The various terms related to the SEM impact evaluation are defined in the E...
AI summary The 2018 impact evaluation of SEM projects aims to assess their gross and net electrical energy and peak demand savings, with definitions provided in the EMIS section of the report.
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.
18.1.2 Interactive Effects The savings associated with SEM are established based on the results of metering the electrical consumption of an entire building for all the buildings evaluated. The on-site visits and analysis of the project do...
AI summary The savings from Sustainable Energy Management (SEM) are based on full building electrical consumption metering, which already accounts for interactive effects. On-site visits and documentation analysis confirmed that all systems were included in the measurement, so no additional interactive effects were applied.
e energy management information system generates savings. 21 Cadmus. Perspectives on SEM Evaluation Northeast SEM Collaborative Workshop , November 8, 2017. › The decay rate of savings after participation ends : This value is unknown at th...
AI summary The document discusses the estimation of Effective Useful Life (EUL) for Sustainable Energy Management (SEM) program participants, using a 50% decay rate based on similar assumptions for Energy Management Information System (EMIS) savings. An average EUL of three years was applied to all 2018 participants.
Table 24: Comparison of SEM Total Tracked and Evaluated Savings at the Generator Initial Gross Savings Adjusted Gross Savings NTGR Net Savings Energy Savings ENS Tracked Savings 1.681 GWh 1.681 GWh 1.00 1.681 GWh Evaluation Results 1.681 G...
AI summary The table compares energy and peak demand savings tracked by ENS and evaluated results. Evaluated gross energy savings were 8% lower than tracked due to incorrect tracking of savings from capital projects and adjustments made by the Evaluator after the tracking sheet was submitted. Net savings were 13% below tracked savings.
Energy Management Information System Two participants generated savings under EMIS in 2018; one was a continuing participant that began with EMIS in 2015 and the other was a new participant that reported savings through a special EMIS proj...
AI summary The 2018 evaluation of the Energy Management Information System (EMIS) showed 1.616 GWh in net electrical energy savings and 0.051 MW in net peak demand savings. While documentation was strong for the continuing participant, the new participant required minor adjustments to their savings calculations. Participants reported high satisfaction with EMIS but faced challenges in understanding the system and analyzing large data sets.
Strategic Energy Management Four participants generated savings in 2018, and all were new participants. The Evaluator determined that SEM achieved 1.455 GWh in net electrical energy savings and 0.190 MW in net peak demand savings at the ge...
AI summary In 2018, four new participants in the Strategic Energy Management (SEM) program achieved significant energy and peak demand savings. The Evaluator found that while the service provider's reporting was of high quality, ENS made errors in tracking savings, particularly omitting deductions from capital projects. Peak demand savings were also not tracked by ENS or the service provider, leading to an upward adjustment in reported savings. Participant confidence in continuing SEM without support from a SP was low to medium.
EMIS and SEM Appendix X EMIS: On-site Visit and Project Review Protocol with EMIS New Participant Appendix XI EMIS: Project Review Protocol and Interview Guide with Continuing Participant Appendix XII SEM: On-site Visit Protocol Appendix X...
AI summary The document outlines protocols for on-site visits and project reviews related to EMIS (Energy Management Information System) and SEM (Sustainable Energy Management), including appendices with specific guidelines for new and continuing participants, as well as recommendations from 2018.
1. General Information Interview Date: Project ID: EMIS Provider: Company Name: Address: EQ Team: Contact Name: Contact Title: Contact Phone: Email: List of people interviewed: of Facility/Products Manufactured NOTE: PC Users "Alt+Enter" f...
AI summary The document contains a table template for collecting information about a facility's operations, including details about people interviewed, facility schedules, and notes from interviews conducted in 2018. It includes instructions for users on how to add new lines in cells and prompts for noting changes in the facility's operations.
4. Major Consumers Identified During the EMIS Audit List all major consumers and percent of total loads below Item #/Description/Energy Source/% of Total Notes from previous years (2015, 2016 and 2017 protocols): Notes from this year (2018...
AI summary The document includes sections from an EMIS audit, focusing on identifying major consumers, listing sensors, and conducting a pre-visit assessment of a project. Notes from previous years and the 2018 interview are referenced, though much of the content is left blank or incomplete.
7. On-Site Observations and Findings (from Previous Years) Report the on-site visit and indicate the key observations and findings made on site. Notes from previous years (2015, 2016 and 2017 protocols): 8. Participant Questions (from Prev...
AI summary The document outlines on-site observations and findings from previous years, along with participant questions related to energy management practices. Questions focus on EMIS usage, automation, alarm notifications, and processes for managing energy consumption and equipment changes.
P1. First of all, I would like to validate that my list of energy conservation measures implemented at your facility is complete. easure, could yo hing that I didn't u please confirm its beginn ing and end date, and if it is still ongoing?...
AI summary The document seeks validation of a list of energy conservation measures implemented at a facility, including their dates and ongoing status, and asks about variations in energy savings over time and the usefulness of the EMIS system in maintaining these measures.
2018 DSM Evaluation – Appendix Report EWIS Sausiaction and Barriers S1. Using a scale from 1 to 10 where 1 is "not at all satisfied" and 10 is "completely satisfied" how would you rate your satisfaction with the EMIS program overall? Rate:...
AI summary The 2018 DSM Evaluation – Appendix Report includes a survey assessing participant satisfaction with the EMIS program, challenges faced during implementation, and suggestions for improvement. It focuses on the effectiveness of the Energy Management Information System and interactions with Efficiency Nova Scotia.
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.
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 This section defines key terms used in energy efficiency and measurement processes, including accuracy, adjustment ratio, base case, bias, billing calibration, confidence interval, and displaced wattage. These definitions support the evaluation and tracking of energy savings and efficiency improvements.
Table 3: Types of Evaluations Conducted for Each Program Component 2017 2018 Program Program Component Process Market Impact Process Market Impact Residential Efficient Appliance Retirement R C C Product Rebates Program Instant Savings R R...
AI summary Table 3 outlines the types of evaluations conducted for each program component in the residential and business energy efficiency programs. It includes process and impact evaluations for components such as appliance retirement, home energy assessments, and energy management information systems.
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.
Facility Occupancy Schedule: Please fill the table below for each different occupancy schedule. Business Hours (Mon-Fri) Business Hours (Weekend) Staff Early Open Staff Early Close Cleaning Hours per Week Days/Year with No Occupancy Workin...
AI summary The document provides templates for filling out facility occupancy schedules and daily lighting operation schedules, which are used for energy management and planning purposes. These schedules help in understanding occupancy patterns and energy usage across different days and times.
78612Compliance Filing
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5.2.2 Enhancements in 2020-2022
AI summary Section 5.2.2 outlines regulatory enhancements in Nova Scotia from 2020-2022, focusing on demand-side management, cost allocation methodologies, and efficiency programs. Key entities include the NSUARB, ENS, and DSMAG, with acronyms related to utility regulation and energy efficiency initiatives.
Program History The Custom Incentives program began with a single component, Custom Retrofit, in May 2008. When Efficiency Nova Scotia began administering the program in 2010, it added a New Construction program component to help streamlin...
AI summary The Custom Incentives program, initiated in 2008, expanded under Efficiency Nova Scotia's administration since 2010. Key developments include adding New Construction in 2010, introducing compressed air optimization (2013), Building Optimization (2014), New Construction Commissioning Pilot (2018), and standalone EMIS (2013) and SEM (2014). These enhancements aimed to broaden participation and improve energy efficiency services for BNI stakeholders.
Table 14: New Residential Performance Indicators - Comparison of Preferred and
AI summary Table 14 compares preferred and alternative residential performance indicators in Nova Scotia's regulatory proceeding, involving entities like NSUARB and ENS. Key acronyms include DSM, TRC, and WACC, reflecting energy management and cost evaluation frameworks.
5.1.6 Implementation Strategy
AI summary The section outlines the implementation strategy for demand-side management programs, involving the NSUARB and other regulatory bodies, with references to various acronyms related to energy efficiency and cost allocation methodologies.
5.2.1 Overview The Custom Incentives program provides financial incentives and technical assistance to help non-profit, institutional, commercial and industrial customers reduce their electrical energy consumption and system-peak demand. S...
AI summary The Custom Incentives program offers tailored financial and technical support to non-profit, institutional, commercial, and industrial customers to reduce energy consumption and peak demand. It includes three components: Custom, Energy Management Information Systems (EMIS), and Strategic Energy Management (SEM). Cost-effectiveness is evaluated via Total Resource Cost (TRC) and Program Administrator Cost (PAC) tests, using metrics like weighted average cost of capital (WACC).
5.2.2 Enhancements in 2020-2022
AI summary The section outlines enhancements implemented between 2020 and 2022, though specific details are not provided in the text. Key acronyms related to energy management, regulatory bodies, and programs are listed for reference.
5.2.3 Objectives Objectives of the Custom Incentives program include: • influence electrical energy efficiency and system-peak demand reduction projects within Nova Scotia; • build awareness around the benefits of energy efficiency to prog...
AI summary The Custom Incentives program aims to drive energy efficiency and reduce peak demand in Nova Scotia by targeting large BNI customers. It addresses barriers like financial constraints, payback periods, and technical expertise gaps. The program, administered by Efficiency Nova Scotia since 2010, has expanded through initiatives like compressed air optimization and building commissioning pilots since 2013.