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    Energy Technologies Area (ETA) researchers are continually building on the strong scientific foundation we have developed over the past 50 years. We address the world’s most pressing scientific challenges across the buildings, transportation, and industrial sectors. ETA is at the forefront of improving the country's aging electrical grid and innovating distributed energy and storage solutions; developing grid-integrated building systems; and providing the most comprehensive market and data analysis worldwide.

    • Securing U.S. Critical Minerals & Materials Supply Chain
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    The Energy Technologies Area (ETA) is unique in translating fundamental scientific discoveries into scalable technology adoption. Our approach combines an understanding of the marketplace and the role of state and federal regulation and policies. ETA's research drives real-world, practical results that affect and improve the everyday lives of Americans and those across the globe. Saving energy and increasing reliability are key to the foundation of our research, which is driven by techno-economic analysis and in-lab experimentation and discovery.

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Publications

Publications by Research Area

Buildings
Demand Response
Energy Markets & Planning
Energy Efficiency
Energy Storage
Industrial Energy Analysis
Systems and Energy Technologies Analysis
Transportation

Publications by Division

Building & Industrial Energy Systems (BIES)
Energy Analysis (EA)
Energy Technologies & Systems (ETS)
X Author: Godfried Augenbroe

2007

Choudhary, Ruchi, Godfried Augenbroe, Russell Gentry, and Huafen Hu."Simulation Enhanced Prototyping of an Experimental Solar House."Proceedings of the Building Simulation 2007 (2007).

2003

Wetter, Michael, Elijah Polak, Godfried Augenbroe, and Jan Hensen."A convergent optimization method using pattern search algorithms with adaptive precision simulation."Proceedings of the 8th IBPSA Conference III (2003) 1393-1400.
Wetter, Michael, Jonathan A Wright, Godfried Augenbroe, and Jan Hensen."Comparison of a generalized pattern search and a genetic algorithm optimization method."Proceedings of the 8th IBPSA Conference III (2003) 1401-1408.
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