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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.

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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: Wen-Kuei Chang

2013

Hong, Tianzhen, Wen-Kuei Chang, and Hung-Wen Lin."A Fresh Look at Weather Impact on Peak Electricity Demand and Energy Use of Buildings Using 30-Year Actual Weather Data."Applied Energy 111 (2013) 333-350. DOI
Hong, Tianzhen, Hung-Wen Lin, Wen-Kuei Chang, Liping Wang, William J. N Turner, Da Yan, Dandan Zhu, Xin Zhou, Chuang Wang, Chen Peng, and Xiaoxin Ren."Building Performance Simulation." (2013).
Hong, Tianzhen, Wen-Kuei Chang, and Hung-Wen Lin."A Sensitivity Study of Building Performance Using 30-Year Actual Weather Data."13th Conference of International Building Performance Simulation Association, August 26-28 (2013).
Chang, Wen-Kuei, and Tianzhen Hong."Statistical Analysis and Modeling of Occupancy Patterns in Open-Plan Offices using Measured Lighting-Switch Data."Building Simulation 6.1 (2013) 23–32. DOI
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