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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

Team Members:

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Wangda Zuo, Associate Professor, Ph.D. 
Department of Civil, Environmental and Architectural Engineering, ��ƷSM����ӰƬ
wangda.zuo@colorado.edu

 
Department of Civil, Environmental and Architectural Engineering, ��ƷSM����ӰƬ
Kyri.Baker@colorado.edu

Bryan Birosak, Director
Utility and Energy Services, ��ƷSM����ӰƬ
bryan.birosak@colorado.edu

Ellen Edwards, Energy Manager
Utility and Energy Services, ��ƷSM����ӰƬ
ellen.edwards@colorado.edu

Katy Hinkelman, M.S., EIT 
Department of Civil, Environmental and Architectural Engineering, ��ƷSM����ӰƬ
kathryn.hinkelman@colorado.edu

Cary Faulkner 
Department of Mechanical Engineering, ��ƷSM����ӰƬ
cary.faulkner@colorado.edu

Aisling Pigott 
Department of Civil, Environmental and Architectural Engineering, ��ƷSM����ӰƬ
Aisling.Pigott@colorado.edu

Saranya Anbarasu, M.S. 
Department of Civil, Environmental and Architectural Engineering, ��ƷSM����ӰƬ
saranya.anbarasu@colorado.edu

Mingzhe Liu, Ph.D. 
Department of Civil, Environmental and Architectural Engineering, ��ƷSM����ӰƬ
mingzhe.liu@colorado.edu

Chengnan Shi, M.S. 
Department of Civil, Environmental and Architectural Engineering, ��ƷSM����ӰƬ
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.