Sizing Optimization of District Energy Systems Considering Meteorological, Demand, and Electricity Emission Factor Uncertainties

• DOI: 10.1115/imece2021-68722
• Publication Date: 2022-01-25T22:12:00Z
• Authors: Zahra Ghaemi; Thomas T. D. Tran; Amanda D. Smith
• Keywords: engrXiv|Engineering|Other Engineering; bepress|Engineering; 02 engineering and technology; 7. Clean energy; Engineering; engrXiv|Engineering; 13. Climate action; 0202 electrical engineering, electronic engineering, information engineering; bepress|Engineering|Other Engineering; 0210 nano-technology; Other Engineering

Abstract In this study, a framework is developed to perform two-stage stochastic programming in district energy system. This optimizes the sizing of components minimize total cost and operating CO2 emissions. Uncertainties electricity demand, solar irradiance, wind speed, emissions are considered. A group buildings at University Utah used as case study test optimization framework. novel by forming an open-source framework, considering with more details compared previous studies literature, performing for campus U.S. study’s results show trade-off between when different configurations three purchasing cases. can help facility managers evaluate optimum their system