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ResStock Analysis Tool

The ResStock analysis tool is helping states, municipalities, utilities, and manufacturers identify which home improvements save the most energy and money.

Photo of a four researchers in front of a wall of screens, showing different maps and charts.


Across the country there's a vast diversity in the age, size, construction practices, installed equipment, appliances, and resident behavior of the housing stock, not to mention the range of climates. These variations have hindered the accuracy of predicting savings for existing homes.

With support from the U.S. Department of Energy (DOE), researchers at NREL developed ResStock. It's a versatile tool that takes a new approach to large-scale residential energy analysis by combining:

  • Large public and private data sources
  • Statistical sampling
  • Detailed subhourly building simulations
  • High-performance computing.

This combination achieves unprecedented granularity and most importantly—accuracy—in modeling the diversity of the single-family housing stock.

With NREL's Peregrine supercomputer, the ResStock team has run more than 20 million simulations using a statistical model of housing stock characteristics. With this data, researchers have uncovered $49 billion in potential annual utility bill savings through cost-effective energy efficiency improvements.

Detailed information on the technical and economic potential of residential energy efficiency improvements and packages is available for 48 U.S. states. Policymakers, program designers, and manufacturers can use these results to identify improvements with the highest potential for cost-effective savings in a particular state or region, as well as help identify customer segments for targeted marketing and deployment.

The ResStock software will be offered at no cost, leveraging DOE's open-source building energy modeling ecosystem of OpenStudio® and EnergyPlus. The ability to run on distributed cloud computing means that a supercomputer isn't required to reap the benefits. Partnerships with industry to adapt ResStock for specific utility, manufacturer, state, and local applications are under development. For example, NREL and its research partners are collaborating on a multiyear end-use load profiles project to develop a dataset representing all major end uses, building types, and climate regions in the U.S. building stock.


ResStock analysis can be used to answer questions for a variety of applications.

Cities and States

  • How much energy can be saved through home improvements that are cost-effective?
  • How can buildings contribute to city/state energy or emissions targets?


  • How does market size for my technology vary regionally?
  • How should my company prioritize R&D investments?

Utility Companies and Programs

  • How can energy-efficiency (EE) improvements be targeted for specific customer segments to improve cost-effectiveness?
  • Which EE measures and distributed energy resources are best for relieving grid congestion?
  • What segments of the housing stock can provide the most load flexibility?


Contact Eric Wilson to learn how ResStock can benefit your organization.  

Learn more information about ResStock capabilities