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Decarbonization & Electrification
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Q&A + Polling

Home Performance Policy

Measured or Modeled? Approaches for IRA HOMES Programs

Monday, April 17, 2023
8:30 AM – 10:00 AM  
Location: 302 (Hyatt)
CEU Hours 1.5
Policy & Inflation Reduction Act
CEU Type(s): ASHI, BPI, INTERNACHI, NARI
Deep dive into the benefits and challenges associated with operating a residential rebate program based on measured or modeled energy savings, specifically regarding implementation of the Home Energy Efficiency Rebate Program (a.k.a. HOMES) included in the Inflation Reduction Act (IRA). Approximately $9 Billion in funding is allocated in the IRA to State Energy Offices (SEO's) to deploy rebates to homeowners for energy efficiency and electrification improvements over the next decade. Half of that funding is allocated to the HOMES performance-based program, giving states the option to distribute rebates based on a modeled savings approach where energy savings are determined based on predictive engineering methods or a measured savings approach where energy savings are monitored and measured at the meter after improvements have been installed. The stakes are high as SEO's must decide which approach works best for them and determine how they will implement more than $4 Billion in federal funding via HOMES.

A panel comprised of experts and advocates representing both modeled and measured energy savings applications will be on hand to discuss the details and implications of both approaches, key considerations for SEO's as they embark on program design for HOMES, and to respond to participant questions.

Learning Objectives:

By attending this session, attendees will:
  • Explore the options available to State Energy Offices as they develop program plans to deploy the IRA HOMES peformance-based program.
  • Discover how a measured savings approach can be used to facilitate adoption of energy efficiency services that are market-friendly and scalable.
  • Explore recent innovations and opportunities to apply a variety of modeled energy savings approaches while retaining flexibility for program administrators to adapt to their own market needs.