Energy Storage Science and Technology ›› 2024, Vol. 13 ›› Issue (10): 3720-3729.doi: 10.19799/j.cnki.2095-4239.2024.0340

• Technical Economic Analysis of Energy Storage • Previous Articles     Next Articles

Multi-season optimization of integrated energy systems considering environmental penalties

Junmei WANG1(), Xiaonan WU2(), Bairui LIAO3   

  1. 1.School of Civil Engineering and Geomatics, Southwest Petroleum University, Chengdu 610500, Sichuan, China
    2.College of engineering, Southwest Petroleum University, Nanchong 637000, Sichuan, China
    3.Sichuan Research Institute, Shanghai Jiao Tong University, Chengdu 610200, Sichuan, China
  • Received:2024-04-18 Revised:2024-05-10 Online:2024-10-28 Published:2024-10-30
  • Contact: Xiaonan WU E-mail:15982064014@163.com;1936333037@qq.com

Abstract:

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.

Key words: integrated energy energy, energy coupling, energy storage, mixed integer linear model, optimal scheduling

CLC Number: