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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: W and D: Residential Window Retrofits and Attachments

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)
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2019

Hart, Robert, Stephen E Selkowitz, and D. D Charlie Curcija."Thermal performance and potential annual energy impact of retrofit thin-glass triple-pane glazing in US residential buildings."Building Simulation 12.1 (2019) 79 - 86. DOI

2018

Hart, Robert."Numerical and experimental validation for the thermal transmittance of windows with cellular shades."Energy and Buildings 166 (2018) 358 - 371. DOI
Hart, Robert, Howdy Goudey, and D. D Charlie Curcija."Experimental validation for thermal transmittances of window shading systems with perimeter gaps."Journal of Building Performance Simulation (2018) 1 - 13. DOI
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