E-12022 Rate and Bill Impact Analysis
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Cumulative and annual participation Each year, E1 combines participant records (for programs that track participant information) with participant records from previous years. In this way, E1 can identify the first year that a customer part...
AI summary E1 tracks cumulative and annual participation by combining records and using transaction data and scaling factors. For some programs, Guidehouse's ProCESS model is used, while others rely on 2021 data scaled by energy savings and product rebates. Custom Incentives use different assumptions.
Figure 5: Average Bill Impact (2011 – 2039) as a Result of DSM Activities in 2011-2025 When examining non-participant bill impacts, it is important to note the broad reach of E1's point-of-sale rebate program components, Instant Savings an...
AI summary The text discusses the impact of E1's rebate programs (Instant Savings and BER-IR) on non-participant and participant bill savings. It highlights that participation rates are high across customer classes, making non-participant scenarios rare. Non-participant results represent minimum savings, while participant results reflect average savings, with some participants achieving higher savings.
4.3 OVERALL PARTICIPATION IMPACTS Figures 6 through 9 present actual participation for 2011-2021 and estimates for 2022 through 2025. Two types of participation figures are presented – tracked and untracked. Tracked participants are those...
AI summary The text discusses participation data from 2011-2025, distinguishing tracked (direct contact with E1) and untracked (point-of-sale programs like BER-IR and Instant Savings) participants. Tracked data is based on actual tracking, while untracked is estimated. Cumulative participation is shown in figures 6 and 7.
Figure 6: Cumulative Participation Rates by Rate Class (tracked only)
AI summary The document references Figure 6, which displays cumulative participation rates by rate class (tracked only). However, no textual data or analysis is provided in the excerpt, and the figure itself is not described in detail.
Figure 7: Cumulative Participation Rates by Rate Class (tracked + untracked) E1 employs the assumption that all customers in the Large General, Medium Industrial, Large Industrial and Municipal classes participate in BER-IR each year, so t...
AI summary Figure 7 shows cumulative participation rates by rate class, with E1 assuming 100% annual participation for Large General, Medium Industrial, Large Industrial, and Municipal classes in BER-IR. Other classes show steady participation growth since 2011. Figures 8 and 9 detail annual rates.
Figure 8: Annual Participation Rates by Rate Class (tracked only)
AI summary The document references Figure 8, which displays annual participation rates by rate class (tracked only) from a Nova Scotia regulatory proceeding. The figure's image is inaccessible, preventing data analysis. Contextual acronyms relate to energy regulation, cost studies, and demand-side management initiatives.
Figure 9: Annual Participation Rates by Rate Class (tracked + untracked)
AI summary The document references Figure 9, which illustrates annual participation rates by rate class (tracked and untracked), but no detailed data or analysis is provided in the text.
rticipants. This RBIA subdivides each rate class into groups of participants and non-participants to examine impacts to their rates and more importantly to their total electricity bills, respectively. Cost effective DSM resources are gener...
AI summary The RBIA analysis divides rate classes into participants and non-participants, showing that DSM programs reduce bills for participants despite rate increases. Broad participation in DSM programs minimizes customers affected by higher rates, ensuring lower bills for those who engage in energy reduction initiatives.
Point-of-sale program component participation counts - All forecasted 2022-2025 participation, inclusive of point-of-sale program participation, was - estimated based on 2021 results, using the methodology described above. The 2011-2021 fi...
AI summary The document outlines E1's methodology for estimating point-of-sale program participation rates from 2011-2021 and forecasting 2022-2025 participation. It details the use of re-participation and cross-participation rates in calculating annual and cumulative participation, with distinct application rules for rate class and program totals.
Residential Instant Savings: - Assume that all customers are purchasing items for Residential use (i.e., that all customers are in the Residential and Municipal rate classes). - To determine the number of participants in Instant Savings ea...
AI summary The document outlines participation rates and assumptions for Nova Scotia's Residential Instant Savings program, including historical data (6%-37% participation), re-participation trends (10%-71% duplication), and methodology for estimating cross-participation with other DSM programs. Efficiency Nova Scotia Corporation (ENSC) and Corporate Research Associates conducted key studies, with assumptions extended during data gaps.
Residential Behaviour participation Home Energy Report (2013-2016) Customers receiving the Home Energy Report were modelled as new participants in 2013. The same cross-participation rates used for Residential Instant Savings are used for t...
AI summary The Home Energy Report (2013-2016) used cross-participation rates similar to Residential Instant Savings, assuming no impact on other DSM program participation. The program ended in 2015 but had residual access until 2016. E1's 2023-2025 DSM Plan introduces a separate Residential Behaviour program tracked independently due to uncertainty around cross-participation and re-participation, enabling clearer stakeholder analysis of its impacts.
LED Holiday Light Exchange - E1 does not have participation records for the discontinued LED Holiday Light Exchange, so - participants in this program component are not included in the analysis.
AI summary The LED Holiday Light Exchange program is discontinued, with no participation records available from E1, leading to its exclusion from the analysis. This affects the evaluation of program effectiveness and participant data.
"Total-Savings" tab The "Total-Savings" tab provides a sum of annual class savings in energy and demand usage at the generator's gate and customer's meter. In addition, class demand savings at the high side of the bulk power substation are...
AI summary The 'Total-Savings' tab calculates annual energy and demand savings at the generator's gate, customer's meter, and bulk power substation. These savings determine avoided fuel, generation, transmission, and distribution costs. FAM-related costs use unit avoided fuel costs multiplied by energy savings, while non-FAM costs use avoided infrastructure costs multiplied by demand savings.