Research Themes +
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.
Publications
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About Us +
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.

Publications

Publications by Research Area

Demand Response

Energy Markets & Planning

Energy Efficiency

Industrial Energy Analysis

Systems and Energy Technologies Analysis

Publications by Division

Building & Industrial Energy Systems (BIES)

Energy Analysis (EA)

Energy Technologies & Systems (ETS)

2004

Wetter, Michael, and Jonathan A Wright."A comparison of deterministic and probabilistic optimization algorithms for nonsmooth simulation-based optimization ."Building and Environment 39.8 (2004) 989-999. DOI

Wetter, Michael, Elijah Polak, and Van P Carey."BuildOpt 1.0.1 validation." (2004).

Wetter, Michael."GenOpt 2.0.0 - Generic optimization program." (2004).

Wetter, Michael."Simulation-based building energy optimization." (2004).

Wetter, Michael."Simulation-Based Building Energy Optimization."Mechanical Engineering Ph.D. (2004).

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.

2001

Wetter, Michael, Roberto Lamberts, Cezar O. R Negrão, and Jan Hensen."GenOpt - A Generic Optimization Program."Proceedings of the 7th IBPSA Conference I (2001) 601-608.