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HomeMy WebLinkAbout20260909Attachment 1 - Evaluation of Commercial Water Heater Measure Options.pdf ATTACHMENT I CASE No.INT-G-26-05 INTERMOUNTAIN GAS COMPANY EVALUATION OF COMMERCIAL WATER HEATER MEASURE OPTIONS 1"<1>__1 Energy INTERMOUNTAIN' CAS COMPANYQ Efficiency ASubsitliaryal MUUResaulces Cl¢ep Im.'. Evaluation of Commercial Water Heater Measure Options for the IGC Technical Reference Manual Purpose This memorandum summarizes the options considered for development of deemed savings values for commercial water heater measures in Intermountain Gas Company's ("IGC"or"Company")Technical Reference Manual("TRM"). It is intended to document the analytical considerations reviewed, the relative advantages and limitations of each option, and the basis for the recommended approach. Background In evaluating the commercial water heater measures, the Company considered whether the underlying savings analysis should be based on an Idaho-only dataset or a broader regional dataset, and whether deemed savings should be structured as a single average value, a tiered value, or a capacity-based value. These questions were evaluated with an emphasis on representativeness, precision, implementation practicality, and regulatory defensibility. Representativeness of the Idaho Sample One question considered was whether the 94 Idaho records available from the NEEA Commercial Building Stock Assessment ("CBSA") provide a sufficiently representative basis for estimating savings for IGC's commercial customer population. The review concluded that the Idaho CBSA records are a reasonable basis for the analysis. According to pages 11 and 12 of the 2019 CBSA Final Report, the CBSA was designed to provide a regionally representative sample of commercial buildings based on a cataloguing of commercial buildings across the region. The CBSA development process also included input from a group of statisticians who reviewed the sample design, case weighting methods, and final weights. On that basis, the Idaho sample was determined to be a reasonable proxy for Idaho's commercial water heater population. Assuming IGC's commercial customer base is generally similar to Idaho's broader commercial building stock, the Idaho subset provides an appropriate foundation for water heater savings estimation. l"<l>__l Energy INTERMOUNTAIN' CAS COMPANYQ Efficiency ASubsitliaryal MUUResaulces Cl¢ep Im.'. Geographic Scope Options Considered Option 1: Idaho-Only Analysis Under this option, the deemed savings analysis would rely solely on the Idaho-specific records within the CBSA dataset. Advantages considered: • Most directly aligned with IGC's service territory and customer population. • Avoids introducing building stock or climate differences from neighboring states. • Provides a straightforward and jurisdiction-specific basis for analysis. Limitations considered: • The principal limitation is the relatively small sample size. Despite the smaller sample, this option was viewed favorably because it is more closely tailored to Idaho conditions and avoids the need to defend the inclusion of external geographies that may not be as comparable. Option 2: Expanded Geography The Company also considered whether to expand the dataset to include additional geographies, particularly Montana, given that Montana shares one of Idaho's climate zones. Advantages considered: • A larger geography could increase sample size modestly. Limitations considered: • Montana would add only 73 customers, which was not viewed as a large enough increase to materially improve the analysis. • Broader regional expansion could raise questions regarding comparability of climate, market conditions, and commercial building stock. • Inclusion of Oregon or Washington was not viewed as advisable because those states present different climatic and market conditions. After review, an Idaho-only analysis was considered the more appropriate and defensible geographic basis. I"<'>__I Energy INTERMOUNTAIN' CAS COMPANYQ Efficiency ASubsitliaryal MUUResaulces Cl¢ep Im.'. Measure Structure Options Considered The Company also considered three potential approaches for structuring deemed savings values: (1) single average values, (2)tiered values, and (3) capacity-based values. These options can be viewed on a continuum from simplicity to precision. A single average approach represents the simplest end of the spectrum, while a capacity-based approach represents a more differentiated and equipment-specific methodology. Option 1: Single Average Savings Value Under a single average approach, one deemed savings value would be applied broadly across qualifying installations. Advantages considered: • Simple to administer. • Minimal data collection requirements. • Straightforward for rebate validation and savings assignment. Limitations considered: • May reduce precision. • May not fully reflect differences in installed equipment characteristics. • Can be less adaptable if customer or equipment distributions change overtime. This option offers administrative ease, but its simplicity may come at the expense of accuracy and representativeness. Option 2: Tiered Savings Values Under a tiered approach, savings values would vary across a limited number of predefined categories. Advantages considered: • Provides more differentiation than a single average value. • Can improve precision while maintaining relatively manageable implementation requirements. Limitations considered: • Requires more data collection and verification than a single average approach. • Still may not fully reflect variation in actual installed equipment. l"<'>__l Energy INTERMOUNTAIN' CAS COMPANYQ Efficiency ASubsitliaryal MUUResaulces Cl¢ep Im.'. This option was viewed as an intermediate alternative, offering some improvement in accuracy while stopping short of a fully equipment-specific framework. Option 3: Capacity-Based Savings Values Under a capacity-based approach, savings would be tied directly to the input capacity of the installed equipment. Advantages considered: • Most likely to improve the precision and accuracy of deemed savings estimates. • Better aligns savings values with the equipment actually installed by customers. • Offers flexibility and is consistent with current Regional Technical Forum ("RTF") practice, which increasingly relies on differentiated methodologies based on relevant equipment or site characteristics. • Key inputs needed to support this approach, such as model number or AHRI information, are often already collected by contractors. • Input capacity can typically be verified using model number information through AHRI directory searches and other standard equipment reference sources. Limitations considered: • Requires somewhat more customer- or equipment-specific information than a single average approach. • May introduce additional implementation steps if the required equipment data are not consistently collected. On balance, these implementation considerations were not viewed as significant barriers. In fact, from an evaluation perspective, the capacity-based approach was considered comparable in workload to the other options and may be the most straightforward analytically. The Company also considered whether a capacity-based treatment for water heaters would be appropriate if other TRM measures continue to use single average deemed savings values.This was not viewed as a barrier, provided the measure-specific rationale for differentiation is clearly documented. 1"<1>__1 Energy INTERMOUNTAIN' CAS COMPANYQ Efficiency ASubsitliaryal MUUResaulces Cl¢ep Im.'. Plan of Action Use an Idaho-only dataset as the basis for the commercial water heater analysis; and adopt a capacity-based deemed savings methodology for the measure. This combination was viewed as the most supportable because it relies on a geography that is closely aligned with the Company's service area while also using a measure structure that better reflects the characteristics of the equipment actually installed. A capacity-based approach also aligns more closely with the direction of current RTF methodologies, which increasingly distinguish savings based on relevant equipment and site parameters rather than applying a single average value across all applications. Conclusion The Company considered multiple alternatives for development of deemed savings values for commercial water heater measures, including broader geographic sampling and less differentiated savings structures. After reviewing the tradeoffs among sample representativeness, implementation complexity, analytical precision, and regulatory defensibility, the preferred course of action is an Idaho-only, capacity-based approach. This approach provides a reasonable balance of jurisdictional relevance, methodological rigor, and practical implementation and is therefore the most defensible option for inclusion in the TRM.