More Resources

  • April 21, 2026
    This document records significant accomplishments achieved by the U.S. Department of Energy (DOE) Office of Legacy Management (LM) during calendar year 2025. Any data reflected by the fiscal year (as opposed to the calendar year) is noted throughout the document. Budget information, identified within the document, reflects the fiscal year, which began on Oct. 1, 2024, and ended Sept. 30, 2025
    Office of Legacy Management
  • April 21, 2026
    BTO develops resources and tools to help owners, project managers, architects, and e...
    Buildings
  • April 21, 2026
    The information contained on this page is suitable only for projects claiming the 179D tax deduction for taxable years prior to 2023.
    Buildings
  • April 21, 2026
    Buildings
  • April 21, 2026
    The Annual Historical Summary (AHS) is a collection of the most significant accomplishments of the U.S Department of Energy Office of Legacy Management (LM) during calendar year 2025. These accomplishments demonstrate LM’s commitment to its mission to safeguard human health, environments, and public properties bound to the nation’s post-closure responsibilities at former atomic defense sites. The 2025 AHS highlights LM’s commitment to long-term stewardship at LM sites, educational programming at LM interpretive centers, and various events, activities, and accomplishments across LM.
    Office of Legacy Management
  • April 21, 2026
    Learn how DOE is driving energy efficiency and affordability for manufactured homes.
    Buildings
  • April 21, 2026
    The Office of Worker Protection & Nuclear Safety develops and maintains worker safety and health, nuclear safety, safety management program, and quality assurance requirements and guidance for the Department to ensure protection to workers and the public.
    Office of Environment, Health, Safety & Security
  • April 21, 2026
    Buildings
  • April 21, 2026
    The Energy Data Vault (EDV) is a secure, private repository that allows researchers to test and evaluate algorithms on real building energy datasets.
    Buildings