Multi-season optimization of integrated energy systems considering environmental penalties
Building energy consumption represents a significant portion of the energy sector,and integrated energy systems offer a way to optimize various energy sources.In order to realize the low-carbon and economic operation in building integrated energy systems,this study explores optimization strategies.Two different types of buildings are examined,incorporating clean energy sources such as solar and geothermal energy.A matrix-based energy hub model is proposed to guide the research.Based on the data from typical summer and winter days,an optimal scheduling model was established with the goal of minimizing comprehensive operational costs for these typical days.The model is solved using CPLEX software combined with an improved NSGA-II algorithm.The results show that the optimization effect in winter is about 10% higher than that in summer.The optimized building demonstrates a comprehensive operation cost reduction ranging from 15% to 35%,while also limiting pollutant emissions,thereby providing significant economic and environmental benefits.
integrated energy energyenergy couplingenergy storagemixed integer linear modeloptimal scheduling
国家科技期刊平台
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