Optimization Model of Substation Building Envelope–Renewable Energy Utilization Based on Life-Cycle Minimum Carbon Emissions

• Published in: Buildings (Basel) Vol. 13; no. 7; p. 1602
• Main Authors: Zhao, Shuizhong, Zhu, Yunxiang, Lou, Ping, Hu, Yuying, Xu, Chenguan, Chen, Yinhui
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.07.2023
• Subjects: Air conditioning; Alternative energy sources; Analysis; Building envelopes; Carbon; Carbon cycle; carbon reduction technologies; coordination optimization; Cost analysis; Design optimization; Electrical transmission; Emissions; Emissions (Pollution); Energy consumption; Energy efficiency; Energy utilization; Genetic algorithms; global optimal; Green buildings; life-cycle carbon emission; Minimum cost; Optimization algorithms; Optimization models; Pareto optimum; Renewable energy; Renewable resources; Simulation; Software; substation; Substations; China
• ISSN: 2075-5309; 2075-5309
• DOI: 10.3390/buildings13071602

Maximizing the carbon reduction in substations with minimum cost investments can be achieved by taking advantage of the potential of substations in terms of the envelope and renewable energy, which is significant in promoting carbon reduction in substations. Therefore, firstly, the relationship between building cost–energy consumption–carbon emissions is explored, and then the global optimal calculation model of substation envelope–renewable energy is established, with the lowest life-cycle carbon emission of the substation as the optimization goal. Finally, the validity of the model is verified based on a case study of a typical 110 kV outdoor substation. The model calculation results show that, without considering the cost constraint, Harbin has the highest maximum carbon reduction of 180,350 kg, which is 25.15% and 13.74% higher than the maximum carbon reduction in Shanghai and Haikou, respectively. Furthermore, based on the comparison of the cost and benefits of each carbon reduction technology, a prioritization of various carbon reduction technologies is given for each climate zone. The model established in this paper can provide the optimal configuration of substation carbon reduction technologies with different incremental cost constraints, and provide a reference for the low-carbon design of substations.