文献类型：期刊文献

英文题名：Multi-objective Optimization Model of Long-term Energy System for Carbon Neutrality: A Case Study of Shanghai Electricity Demands

作者：Chen, Wenxin[1]; Feng, Siyu[1]; Ren, Hongtao[1]; Nie, Yuanhong[2]

机构：[1] East China University of Science and Technology, Shanghai, China; [2] State Grid Anhui Electric Power Co. Ltd, Hefei, China

年份：2023

起止页码：147

外文期刊名：2023 3rd International Conference on Energy Engineering and Power Systems, EEPS 2023

收录：EI(收录号：20234214902896)

语种：英文

外文关键词：Carbon - Electric power utilization - Environmental technology - Multiobjective optimization

摘要：With the increasing emphasis on implementing the future energy transition, researchers have recognized the need to optimize not only the system cost and carbon emission of the energy system but also the social goals. In this context, this paper establishes a multi-objective optimization model of the long-term energy system to meet the electricity demand of Shanghai in 2020-2060. The model considers system cost minimization, carbon emission minimization, and employment maximization as its objectives. The findings indicate that prioritizing the development of photovoltaic power generation aligns with economic, environmental, and social considerations, making it a promising technology for future energy transformation in Shanghai. ? 2023 IEEE.