E-32025 DSM Evaluation Reports
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LED Lamps Product Category 18 W Replacing 100 W PAR20 7 W Replacing 50 W PAR38 15 W Replacing 90 W PAR38 15 W Replacing 120 W PAR38 15 W Replacing 150 W Number of Units Number of Units 188 1,710 113 27 382 Installation Rate (%) 94% 94% 94%...
AI summary The document presents a detailed table of energy savings from LED lamp installations, including metrics such as number of units, installation rates, energy savings, and adjustment ratios. The data is categorized by different types of LED lamps and includes interactive effects and line loss factors for each category.
Table 23: Evaluated 2025 EPI Gross Electrical Energy and Peak Demand Savings per Measure – Apartments LED Lamps Product Category 9 W Replacing 29 W 40 W 43 W 60 W 72 W 100 W 150 W Number of Units Number of Units - - 455 - 1,193 - 4 - Insta...
AI summary Table 23 evaluates the 2025 EPI gross electrical energy and peak demand savings per measure in apartments, focusing on LED lamps. It provides data on unitary energy and peak demand savings, adjustment ratios, and line loss factors for various wattage replacements.
The detailed results per measure are presented in [Table](#page-17-0) 29 below. The net electrical energy savings resulted in 3,426 tonnes of CO2 eq in net annual GHG emission reductions. LED Lamps Net Lifetime Electrical Energy Savings –...
AI summary The text presents detailed results of energy savings measures, highlighting net electrical energy savings and their impact on GHG emissions. The data includes energy savings from LED lamps, air sealing products, and heat pump heating, with metrics such as net lifetime electrical energy savings, peak demand savings, and net-to-gross ratios (NTGR). These measures have resulted in 3,426 tonnes of CO2 eq in annual GHG emission reductions.
3.2.4 Evaluated Gross Savings The savings achieved for each Application Rebates measure category are presented in [Table](#page-163-0) 9 below. Both electrical energy and peak demand savings were revised by applying the adjustment ratios d...
AI summary The document discusses the calculation of evaluated gross savings for Application Rebates measure categories, including the use of adjustment ratios and line loss factors. It references the 2014 Cost of Service Study Progress Update and mentions the use of line loss factors provided by NS Power.
This appendix summarizes all the recommendations made by the Evaluator as part of the 2025 BER evaluation. Section Recommendations Executive Summary Recommendation #1: Use the calculated adjustment ratios to track gross electrical energy a...
AI summary The appendix outlines two key recommendations from the 2025 BER evaluation. The first suggests using calculated adjustment ratios to track energy and peak demand savings, with exceptions and reassessments planned for specific measure categories. The second recommends using updated NTGR values to convert gross savings into net savings for reporting purposes.
Table 10: Example of a 2025 True-up Adjustment 2024 2025 Total Tracked Savings (kWh) 105,187 63,884 169,071 Year-specific Adjustment Ratio 1.021 1.003 Revised Savings Prior to True-up (kWh) 107,396 64,076 171,472 Total Project Revised Savi...
AI summary Table 10 shows a 2025 true-up adjustment example, illustrating tracked savings, adjustment ratios, and revised savings. Table 11 builds on this by applying adjustment ratios and true-up adjustments to Retrofit projects' energy and peak demand savings. Line loss factors from NS Power's 2014 study are used for calculations, with assumptions for municipal utilities.
Both subcategories are divided into groups by lumens output to assign the correct baseline wattages, and the baseline technology used for each subcategory differs. Weighted averages of 50% MH and 50% HPS fixture system wattages are used to...
AI summary The text discusses the categorization of outdoor wall-mounted area luminaires based on lumens output to determine baseline wattages. It mentions the use of weighted averages of 50% metal halide (MH) and 50% high-pressure sodium (HPS) fixture system wattages for different types of luminaires, as detailed in Table 162.
Table 291: Dual and Natural Ventilation Measure Summary Parameter BER-AR SBES Reference Measure Description and Identification Measure Both natural and dual ventilation systems that meet the following criteria are eligible, rebated after i...
AI summary This table outlines the eligibility criteria, baseline conditions, and energy savings parameters for natural and dual ventilation systems under the Business Energy Rebates (BER) program. It includes adjustment ratios, effective useful life, and calculation methods for energy and peak demand savings.
Table 302: Unitary Peak Demand Savings Values for Tractor Engine Block Heater Timers Parameter Symbol BER-AR, SBES Reference Peak Coincidence Factor PCF 0.84 As per Subsection 6.10.2 Unitary Peak Demand Savings [kW] ∆𝑘𝑊 Calculation based o...
AI summary Table 302 provides unitary peak demand savings values for tractor engine block heater timers, focusing on the peak coincidence factor (PCF) and unitary peak demand savings (∆𝑘𝑊) based on specification data for each rebated unit. The table references Subsection 6.10.2 for the peak coincidence factor calculation.
Summary [Table](#page-79-1) 356 presents a summary of the values used to calculate server virtualization and decommissioning savings. The detailed methodology follows.
AI summary Table 356 summarizes the values used to calculate server virtualization and decommissioning savings, with a detailed methodology provided afterward.
Table 361: EUL Values for BNI LED Lamps and Fixtures Measure Program Component Average Rated Lifetime (hours) Annual HOU (hours/year) Equipment Life 2025 Equivalent EUL LED Ceiling Mount, LED Surface Mount, LED Solid State Retrofit, LED In...
AI summary Table 361 presents Effective Useful Life (EUL) values for various BNI LED lamps and fixtures under different program components, such as SBES and BER-AR. The table includes metrics like average rated lifetime, annual hours of use, equipment life, and 2025 equivalent EUL for each measure.
Table 362: EUL Values for Non-LED Lighting BNI Measures Measure Program Component EUL Value Reference Lighting Controls Occupancy Sensors BER-IR, BER-AR, SBES 10 GDS, 2007 (Table 2 – Commercial & Industrial Measures, value for occupancy se...
AI summary Table 362 presents EUL (Effective Useful Life) values for various non-LED lighting BNI measures under the Business Energy Rebates (BER) and Small Business Energy Solutions (SBES) programs, referencing studies and reports from multiple organizations including KEMA, IESO, and ERS.
KEMA. Focus on Energy Evaluation Business Programs: Measure Life Study. Prepared for PA Consulting Group Inc., August 2009. Measure Program Component EUL Value Reference Door Heater Controls BER-AR, SBES 12 KEMA, 2009 (Value for anti-sweat...
AI summary The document presents a Measure Life Study conducted by KEMA for PA Consulting Group Inc. in August 2009, evaluating the Effective Useful Life (EUL) of various energy efficiency measures in business programs such as Business Energy Rebates (BER-AR) and Small Business Energy Solutions (SBES). The EUL values are derived from references including the Demand-Side Management Resource Plan (DEER), Energy Research Standards (ERS), and the Technical Reference Manual (TRM).
E-12E1 (NSEB) RIRs 1-66 - Redacted
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3. Conclusion After analyzing comparable jurisdictions in North America, as well as E1's historical achievements, market demand, and organizational capability, Apex recommends a net savings target of 0.8%-1.0% of sales for the 2027-2031 Pl...
AI summary Apex recommends a net savings target of 0.8%-1.0% of sales for the 2027-2031 Plan, considering increased costs and affordability. The split between residential and BNI savings is recommended as up to 30%/70%, based on lower BNI acquisition costs. The target balances energy efficiency and affordability needs.
BEST-IN-CLASS In Canada, Ontario and British Columbia have the largest energy efficiency budgets and the longest history of designing and delivering energy conservation programs. They are also usually considered the leading provinces for p...
AI summary The document highlights Ontario and British Columbia as leaders in energy efficiency in Canada, with the largest energy efficiency budgets and longest history of delivering energy conservation programs. In the U.S., most jurisdictions rank highly in the ACEEE 2015 State Energy Efficiency Scorecard, except Maine, which is ranked 14th. These jurisdictions have long-term Energy Efficiency Resource Standards (EERS) to promote energy efficiency.
Figure 43: Overall Targets 2007 - 20158 Energy Efficiency Savings (GWh) 2007 2008 2009 2010 2011 2012 2013 2014 2015 Statewide Goals 1 New York State 15 x 15 Goals 564 1,471 3,991 7,263 10,631 14,082 17,608 21,222 24,927 NYSERDA SBC III Cu...
AI summary The text presents energy efficiency savings targets and program budgets from 2007 to 2015 in New York, highlighting statewide and jurisdictional goals, as well as program funding for electric and gas initiatives. It includes data on energy efficiency potential studies, such as the Con Edison Energy Efficiency Study 2010 and the Optimal Energy Efficiency Study 2008.
E-21Evidence - CA
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20 Q. DOES E1 HAVE A LEGISLATIVELY MANDATED SAVINGS TARGET? 21 A. No. Unlike other jurisdictions in North America that have defined energy savings targets, 22 usually established through an Energy Efficiency Resource Standards ("EERS"), E1...
AI summary E1 does not have a legislatively mandated savings target, unlike other jurisdictions that use Energy Efficiency Resource Standards (EERS). Instead, E1 uses a Standardized Filing Framework (SFF) established through a Consensus Agreement approved by the Nova Scotia Utility and Review Board in 2015.
1 passed and yields around $200 million more in PAC net benefits compared to E1's 2 Preferred Scenario. The PAC already accounts for the cost of capital at NS Power's 3 WACC of 6.65%, meaning it already prices in the time value of money an...
AI summary The document discusses the financial benefits of a proposal, noting that it yields around $200 million more in PAC net benefits compared to E1's Preferred Scenario. It also mentions that the PAC already accounts for the cost of capital at NS Power's WACC of 6.65%, which includes the time value of money and cost recovery through the DCRR.
7 Q. WHAT DOES E1 IDENTIFY AS THE DRIVERS OF THEIR PROJECTED 8 SAVINGS ACQUISTION COST INCREASES? - 9 A. E1 attributes the change in unit delivery costs between the 2023–2026 and 2027–2031 Plan periods to four factors:[53](#page-28-5) 10
AI summary E1 identifies four factors driving the projected increase in savings acquisition costs between the 2023–2026 and 2027–2031 Plan periods. The response outlines these factors but does not detail them in the provided text.
1 Q. WHAT CAN E1 DO TO MITIGATE THE LARGE INCREASE IN UNIT COSTS? 2 A. The main tool that E1 has available is to set incentives at the right level. They should be 3 high enough to drive participation but no higher than necessary. E1 has no...
AI summary E1 is asked how it can mitigate a large increase in unit costs. The response highlights that E1's main tool is setting incentives at the right level, but it has not conducted a full analysis of its incentive design in nearly a decade. The current process is based on a study from 2016–2018, and for the 2027–2031 Plan, E1 engaged Apex Analytics for a methodology review and benchmarking, which concluded that E1's practices are more rigorous than its peers.