E-1-1Application
4 passages
4 Cost-Effectiveness 5 6 To assess the cost-effectiveness of the 2020-2022 Preferred Plan, EfficiencyOne used 7 two industry standard screening tests: the TRC test and the Program Administrator Cost 8 (PAC) test. The TRC was used as the pr...
AI summary EfficiencyOne assessed the 2020-2022 Preferred Plan using the TRC and PAC tests. TRC was mandated by NSUARB to ensure a TRC of 1 or greater, while PAC provided supplementary cost-effectiveness analysis excluding voluntary contributions. Results are detailed in Table 1.
ne has applied only the cross-participation rate for rate class totals, and neither the reparticipation rate or cross-participation rate for point-of-sale program totals. Residential Instant Savings: - Assume that all customers are purchas...
AI summary The document outlines assumptions for the Residential Instant Savings program, including participation rates (6-25% annually), re-participation rates (10% initially, 71% post-2014 study), and data sources like EfficiencyOne's research and Rhode Island's rate assumptions. It notes adjustments for duplication and reliance on historical data where studies were unavailable.
Site Heating equipment (user-entered) Hours of operation (user-entered)
AI summary The text lists user-entered data fields related to heating equipment and hours of operation, likely part of a dataset or form used in the regulatory proceeding. No explicit arguments, entities, or cross-references are present in the provided text.
Data needed to perform calculations Certain data are required to produce the calculated values
AI summary The document outlines the necessity of specific data to perform calculations, though no detailed data points are listed in the provided text.
E-7Practices & Procedures Evaluatoin: Site Visit Quality Assurance
6 passages
[Table 1-3](#page-10-0) provides an outline of Chapter [3](#page-15-0) and shows where, within the chapter, the research team addresses each of the study's research questions as listed i[n Table 1-2.](#page-9-1) Overarching Issues Research...
AI summary The document outlines research questions related to improving Efficiency Nova Scotia's QA site visit management and data collection practices. It focuses on whether the data collected during QA site visits is sufficient and whether there are opportunities for improvement in the QA program's management and procedures.
3.3. Effectiveness of Site Visit Practices and Procedures The evaluation team provides details about effectiveness of ENS's site visit sampling, site visit planning and implementation, and data collection in the following subsections.
AI summary The evaluation team will assess the effectiveness of ENS's site visit practices, including sampling, planning, implementation, and data collection, in subsequent subsections.
3.3.3. Data Collection to Inform DA/SO Assessments Service Delivery Managers and program managers are able to assess DA and SO performance based on the information from site visits. Three program managers and one SDM said they use site vis...
AI summary ENS staff use QA site visit data to assess DA/SO performance, focusing on customer satisfaction and installation quality. Currently, only one program manager uses this data for inspection planning, with others intending to adopt it. ENS staff advocate for consistent, aggregated reporting and a QA dashboard to improve assessment efficiency and program outcomes.
to change in the guidelines? Why? [ Probe for sampling approach number of site visits, site selection process, frequency/pacing of site visits—and data collection and reporting requirements. ] [ALL] - Q22. [IF NEEDED FOR EXAMPLE, IF [Q13=]...
AI summary The text outlines questions from a regulatory proceeding regarding QA site visit guidelines, focusing on decision-making processes for site visit frequency, selection criteria, data collection/reporting requirements, and procedures for updating practices. It probes into methodologies, stakeholder involvement, and motivations for changes.
QA Site Visit Effectiveness at Serving Intended Purpose I'd like to shift gears a bit and talk about how ENS uses QA site visits results. [ALL] Q31. Who reports QA site visit findings? Where are the findings documented? How are they commun...
AI summary The document explores the effectiveness of QA site visits in achieving their intended purpose, focusing on reporting processes, data collection, and program improvements. It questions how ENS uses findings, whether communication channels could be simplified, and if data sufficiency impacts performance assessments. The discussion also addresses potential adjustments to future site visit frequencies based on organizational track records.
QA Site Visit Goals, and Overview of Practices and Procedures Q6. [ Ask once across all programs served ] How would you describe the goals or purposes of QA site visits at ENS? Now I'd like to learn more about the QA site visit process. Si...
AI summary The document outlines QA site visit goals and procedures for Efficiency Nova Scotia (ENS), focusing on process steps, coordination with ENS staff, data collection methods, and potential process improvements. Questions address visit frequency, oversight roles, inspection scope, data analysis, reporting formats, and stakeholder feedback.
E-9NSPI Evidence
4 passages
Q. What Attachments are you sponsoring? - A. My Attachments are as follows: - RLL-1 Resume of Richard L. Levitan - RLL-2 Testimony Experience of Richard L. Levitan (Partial) - RLL-3 2017 Firm Generating Capability for NS Power and IPPs - Q...
AI summary The respondent lists sponsored attachments including a resume, testimony experience, and generating capability data for NS Power and IPPs, confirming they were prepared under their supervision. The docket number NSUARB M05419 is referenced.
Q. How was DSM program potential assessed in the context of the latest IRP and GUO proceedings? A. On behalf of EfficiencyOne, Navigant conducted an analysis of DSM, i.e ., EE programs from 2015 to 2040 to support NS Power's IRP and GUO ef...
AI summary DSM program potential was assessed by Navigant for NS Power's IRP and GUO proceedings, analyzing EE programs from 2015–2040. Four scenarios (Low, Base, Mid, High) were developed using incentive levels and data from 2012 studies, surveys, and on-site collections. The 2014 report informed DSM strategies to meet provincial goals.
Agenda - UARB Directive - Proposed revisions to RBIA methodology - Updated avoided costs - Data Requirements from NS Power - Avoided costs of Fuel, Generation Transmission and Distribution - Energy and demand cost escalation rate - Recomme...
AI summary The agenda outlines key items including the UARB Directive, proposed RBIA methodology revisions, updated avoided costs, and data requirements from NS Power. Topics focus on fuel, generation, transmission, distribution costs, and energy demand escalation rates.
Proposed Revisions to RBIA Methodology - To the extent practical, the RBIA should reflect the Cost of Service Study methodology in the allocation of forgone recovery of fixed system costs and benefits of DSM programs. - Annual fuel costs r...
AI summary Proposed revisions to the Rate and Bill Impact Analysis (RBIA) methodology aim to align with the Cost of Service Study approach, allocating DSM program costs and benefits based on energy usage and demand shares, using a top-down revenue determination process similar to General Rate Adjustments (GRAs). Enhancements include class line loss considerations and aligning customer participation with energy savings.
E-17E1 (SBA) RIR-1 to RIR-49
11 passages
Measure Lifetimes For measure lifetimes, a combination of resources was used, including manufacturer data, standard economic depreciation assumptions, NRCan, the ENERGY STAR® Website, industry trade organizations, various Technical Referen...
AI summary Measure lifetimes were determined using multiple sources including manufacturer data, NRCan, ENERGY STAR, U.S. DOE, industry reports, and studies. Data was reconciled through engineering judgment where discrepancies arose.
3.2 Base and Efficient Consumption, Effective Useful Life, and Incremental Measure Cost The overall approach for estimating base and efficient consumption (of electricity and other resources), effective useful life (EUL), and incremental m...
AI summary The document outlines criteria for selecting data sources to estimate base/efficient consumption, effective useful life (EUL), and incremental measure costs, prioritizing local relevance, recency, parameter alignment, and method transparency. Compromises were sometimes necessary when older local data conflicted with more recent but less relevant sources. Econoler and Ontario Power Authority documents were frequently cited for residential measures.
3.3 Loadshapes The potential study relied on annual end use loadshapes to develop results, allocating savings potential across the different sectors (residential, commercial, and industrial.) Loadshapes were derived by Navigant from a vari...
AI summary The study utilized annual end-use loadshapes derived from Navigant's energy modeling and secondary data sources like PG&E Climate Zone 2/16 to allocate savings potential across sectors. These loadshapes supported Nova Scotia's potential study and the Technical Reference Manual (TRM).
3.5 Measure Densities Measure or technology density is a requirement for the estimation of energy efficiency and demand reduction potential. "Density" in this case refers to the prevalence of the technology in question throughout the provi...
AI summary Measure density refers to the prevalence of energy-efficient technologies in Nova Scotia. Data sources include surveys by ENSC, CRA, and NRCan, as well as studies like NRCan's Comprehensive Energy Use Database and ENSC's 2011 Socket Study. Densities are calculated for residential and BNI sectors using baseline surveys and other provincial and federal data.
Market Assessment Approach The industry practice in developing market characterizations for demand‐side management (DSM) assessments and baseline forecasts has been to use, where needed, data from secondary sources such as Statistics Canad...
AI summary The market assessment approach for Nova Scotia's demand-side management (DSM) uses secondary data sources like Statistics Canada, supplemented by local data from Efficiency Nova Scotia Corporation (ENSC) and Nova Scotia Power, Inc. (NSPI). Key data include the 2009 Residential Baseline Study and 2011 Residential Socket Study.
Residential Sector Baseline The primary source of data used in determining the residential baseline was a 2012 online general population panel survey conducted by Corporate Research Associates (CRA), Inc. on behalf of Navigant, referred to...
AI summary The residential sector baseline data relies on a 2012 CRA survey (Energy Usage Study) and supplementary sources, including the ENSC 2011 Socket Study, NRCan, and Statistics Canada datasets like the Comprehensive Energy Use Database and Census data.
E.4 Key Business, Nonprofit and Institutional (BNI) Findings It should be noted that certain results below were derived from a sample size of 30 on‐site visits and should be used in a qualitative manner. Where possible, Navigant has used r...
AI summary The findings are based on a qualitative analysis of 30 on-site visits, with supplementary data from other primary sources. Navigant acknowledges the sample size limitations and emphasizes the qualitative nature of the results.
4.1 Data Sources The primary source of data used in determining the residential baseline was the 2012 study conducted by Corporate Research Associates (CRA), Inc. on behalf of Efficiency Nova Scotia, referred to as the Energy Usage Study....
AI summary The primary data source for residential baselines is the 2012 CRA study commissioned by Efficiency Nova Scotia, supplemented by on-site data, the 2011 ENSC Socket Study, and datasets from NRCan and Statistics Canada, including the Comprehensive Energy Use Database and census data.
4.1.1 Sample Design and Segmentation For the residential sector, the primary data source consisted of online surveys conducted by CRA that were supplemented with on‐site surveys with a sample size of 31 residents. For the BNI sector, the p...
AI summary The residential sector data relied on CRA's online surveys and on-site surveys of 31 residents, while the BNI sector used on-site surveys of 30 participants. The methodology emphasizes mixed data collection approaches tailored to sector-specific needs.
5.2 On‐Site Sampling Approach The sample was designed to represent a broad cross section of Nova Scotia BNI customers in terms of building usage type and fuel type. Ultimately 30 BNI on‐site surveys were completed.
AI summary The on-site sampling approach aimed to represent a diverse range of Nova Scotia BNI customers based on building usage and fuel type, with 30 on-site surveys completed.
8. Business, Nonprofit and Institutional Market Characterization This section describes the BNI sector findings obtained from data collection and analysis activities conducted by the Navigant team. Data were gathered via 30 BNI on‐site sur...
AI summary The BNI sector findings from 30 on-site surveys (2012-2013) by Navigant analyze building characteristics and baseline saturations of lighting, HVAC, and other systems. Results are qualitative due to sample size, with supplementary primary sources used where possible. Key sections include building envelope, lighting, HVAC, and refrigeration data.