Cape Light Compact is soliciting competitive bid proposals from qualified consultants to conduct a comprehensive energy efficiency potential study. The study will assess technical, economic, and achievable potential for electricity (kWh), demand (kW), and delivered fuels (MMBtu) savings from promoting energy efficiency strategies and services within the Compact's service territory for residential and non-residential customer segments for 2022-2024. The study must include: measure assumptions with energy and demand savings, expected useful life, applicability, and cost-effectiveness; building and customer characteristics analysis leveraging current saturations and penetrations; technical and economic potential modeling using benefit-cost screening tools; achievable potential estimation accounting for naturally occurring adoption (free ridership); market acceptance/adoption curves; and detailed reporting. The consultant must develop a transparent model in MS Excel capable of estimating technical potential (all non-overlapping technically feasible measures), economic potential (cost-effective measures using MA Total Resource Cost test), and achievable potential under three different program funding scenarios plus an option for enhanced program design scenarios. The study should consider potential for MMBtu reduction via strategic electrification of heating equipment, including conversion to heat pumps for delivered fuel customers. Specific scope requirements include: producing updated lists of commercially available and emerging efficiency technologies; developing benefit-cost screening models consistent with Massachusetts methodology; accounting for dual baselines for early replacement measures; incorporating codes and standards updates; conducting customer surveys (minimum 400 residential, 200 commercial customers) for market acceptance curves; calibrating models against 2018 program activity year-end numbers to within 5-25 percent acceptable variance; and providing results stratified by customer segment (single family non-low income, multi-family non-low income, low income), business type and size, existing vs. new construction, and fuel type. Demand savings must include assumptions for peak demand reductions for non-holiday weekdays 3-7 PM during June-September and quantification of active demand response programs (curtailment, batteries, thermal storage, wi-fi thermostats, EV charging throttling) for both summer and winter peak hours.