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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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    • Ensuring a Reliable & Secure Grid
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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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      • Building & Industrial Energy Systems
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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: Hongxiang Fu

2025

Zanetti, Ettore, David Blum, Hongxiang Fu, Chris Weyandt, Marco Pritoni, and Mary Ann Piette."Commercial building HVAC demand flexibility with model predictive control: Field demonstration and literature insights."Energy and Buildings 345 (2025) 116097. DOI

2024

Fu, Hongxiang, Ettore Zanetti, Jianjun Hu, David Blum, and Michael Wetter."A Modelica Implementation of an Organic Rankine Cycle." 207 (2024) 127-135. DOI

2022

Fu, Hongxiang, David Blum, and Michael Wetter."Fan and Pump Efficiency in Modelica based on the Euler Number."American Modelica Conference 2022 (2022). DOI
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