Research at the Intersection of Science, Technology, Policy, and Economics

We perform research and development to support effective utilization of energy technologies, ensuring an integrated energy system that is affordable, reliable, and secure. 

Energy Markets & Planning Department

The Energy Markets & Planning (EMP) department inspires and informs impactful solutions to existing and emerging global energy challenges through objective and timely research and technical assistance.

Systems and Energy Technologies Analysis Department

All energy systems have some sort of environmental impact. By understanding these impacts and their interactions with systems, we can provide thorough, unbiased data and inform policies that improve the economy, the environment and human health.

Energy Efficiency Studies Department

We conduct techno-economic analyses of more efficient end-use equipment and develop associated metrics and testing methods, supporting a variety of policy programs and end-use research projects.

Latest News

Building a Secure, Affordable Supply of Critical Minerals: Q&A With Andrew Haddad

Oct-06-26
The United States depends on imports of critical minerals, a group of 60 materials including rare earth elements that he... Read more

Energy Technologies Area Staff Honored in 2026 Director’s Awards

Oct-06-26
Several members of the Energy Technologies Area (ETA) staff have been recognized with Director’s Awards this year at the... Read more
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Recent Publications

Gorman, Will, Fredrich Kahrl, Tyler Norris, and Dalia Patiño-Echeverri."A review of United States energy-only generator interconnection service policy and considerations for reform."Energy Policy 219 (2026) 115554. DOI
Rodriguez-Garcia, Luis, Galen L Barbose, Sydney Forrester, Michael Blonsky, and Miguel Heleno."Estimating the impact of tariff-driven behind-the-meter storage operation on distribution grid investments."Energy Reports 16 (2026) 109531. DOI
Amusat, Oluwamayowa O, Luka Grbcic, Remi Patureau, Jibran Zuberi, Dan Gunter, and Michael Wetter."An online machine learning multi-resolution optimization framework for energy system design limit of performance analysis."Engineering Applications of Artificial Intelligence 182 (2026) 116080. DOI
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