做厙輦⑹

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Optimal Co-Design of Integrated Thermal-Electrical Networks and Control Systems for Grid-interactive Efficient District (GED) Energy Systems

AMO

Sponsored by U.S. Department of Energy (DOE)

The coordination of thermal-electrical-control networks is essential for the optimal design of grid-interactive efficient district (GED) energy systems, particularly when renewable energy sources are integrated. Led by Dr. Zuo, this $4.16M joint research is to create a holistic open-source modeling and optimization platform for the optimal design and retrofit of GED energy systems. Based on National Renewable Energy Laboratory's and Lawrence Berkeley National Laboratory's , this platform can be used to increase system efficiency and resilience of our communities.

Technical Advisory Group

Name Institution
Ben Ealey Electric Power Research Institute
Caitlin Holley ENGIE
Henry Johnstone GLHN
John Camilleri PSC
Peter Lilienthal HOMER Energy by UL
Shalom Flank Pareto Energy

 

Team Members:

做厙輦⑹: 

Wangda Zuo, Associate Professor, Ph.D. 
Department of Civil, Environmental and Architectural Engineering, 做厙輦⑹
wangda.zuo@colorado.edu

 

 
Department of Civil, Environmental and Architectural Engineering, 做厙輦⑹
Kyri.Baker@colorado.edu

 

Bryan Birosak, Director
Utility and Energy Services, 做厙輦⑹
bryan.birosak@colorado.edu

 

Ellen Edwards, Energy Manager
Utility and Energy Services, 做厙輦⑹
ellen.edwards@colorado.edu

 

Katy Hinkelman, M.S., EIT 
Department of Civil, Environmental and Architectural Engineering, 做厙輦⑹
kathryn.hinkelman@colorado.edu

 

Cary Faulkner 
Department of Mechanical Engineering, 做厙輦⑹
cary.faulkner@colorado.edu

 

Aisling Pigott 
Department of Civil, Environmental and Architectural Engineering, 做厙輦⑹
Aisling.Pigott@colorado.edu

 

Saranya Anbarasu, M.S. 
Department of Civil, Environmental and Architectural Engineering, 做厙輦⑹
saranya.anbarasu@colorado.edu

 

Mingzhe Liu, Ph.D. 
Department of Civil, Environmental and Architectural Engineering, 做厙輦⑹
mingzhe.liu@colorado.edu

 

Chengnan Shi, M.S. 
Department of Civil, Environmental and Architectural Engineering, 做厙輦⑹
chengnan.shi@colorado.edu

 

Rensselaer Polytechnic Institute: 


Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute
luigi.vanfretti@gmail.com

 


Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute
tetiana.bogodorova@gmail.com

 

Fernando Fachini 
Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute
emaildofachini@gmail.com

 

University of Texas Austin:


Department of Civil, Architectural, and Environmental Engineering, University of Texas at Austin
atila@mail.utexas.edu

 

Ardeshir Moftakhari
Department of Civil, Architectural, and Environmental Engineering, University of Texas at Austin
ardeshir.moftakhari@gmail.com

 

Mengjia Tang
Department of Civil, Architectural, and Environmental Engineering, University of Texas at Austin
m.tang@utexas.edu

 

Lawrence Berkeley National Laboratory:


Building Technology & Urban Systems Division, Lawrence Berkeley National Laboratory
mwetter@lbl.gov

 


Building Technology & Urban Systems Division, Lawrence Berkeley National Laboratory
jianjunhu@lbl.gov

 

National Renewable Energy Laboratory:


National Renewable Energy Laboratory
Kyle.Benne@nrel.gov

 


Commercial Buildings Research Group, National Renewable Energy Laboratory
nicholas.long@nrel.gov

 


National Renewable Energy Laboratory
Amy.Allen@nrel.gov

 


National Renewable Energy Laboratory
Lauren.Klun@nrel.gov

 

Amzur technologies:


Amzur Technologies
raymond.kaiser@amzur.com

 

Media Reports

Open source tool aims to improve electric grid efficiency, resiliency

 

Resulted Open Source Libraries

 

Journal Publications

K. Hinkelman, S. Anbarasu, M. Wetter, A. Gautier, W. Zuo. 2022. "," Energy, 254(4), pp. 124227.

K. Hinkelman, J. Wang, W. Zuo, A. Gautier, M. Wetter, C. Fan, N. Long. 2022. "" Applied Energy, 311, pp.118654.

Conference Proceedings

F. Fachini, M. d. Castro, M. Liu, T. Bogodorova, L. Vanfretti, W. Zuo. 2022. , 2022 IEEE Power & Energy Society General Meeting (PESGM), July 17-21, Denver, CO.

K. Hinkelman, S. Anbarasu, M. Wetter, A. Gautier, B. Ravache, W. Zuo 2022. "" Proceedings of the 1st International Workshop On Open Source Modelling And Simulation Of Energy Systems (OSMSES 2022), Aachen, German, April 4-5, 2022.

F. Fachini, L. Vanfretti, M. C. Fernandes, T. Bogodorova, G. Laera 2021.  Proceeding of the 47th Annual Conference of the IEEE Industrial Electronics Society (IECON 2021). October 13-16, Toronto, Canada.

A. Pigott, K. Baker, S. A. Dorado-Rojas, L. Vanfretti 2022. Dymola-Enabled Reinforcement Learning for Real-time Generator Set-point Optimization. Proceeding of the 13th Conference on Innovative Smart Grid Technologies (ISGT 2022). February 21-24, Washington, D.C., USA.