摘要
城市能源系统在清洁能源的消纳和能源梯级利用方面发挥着重要作用，低碳能效综合评估则对多能互补城市能源系统的建设和运行有着重要意义。首先，本文构建了包含能源利用、环境保护、系统运行、经济效益4个一级指标和21个二级指标的多维度评价体系，可对城市能源系统的特征进行全面刻画。其次，考虑到评价体系包含大量指标，导致各指标间存在信息重叠，提出了一种基于数据处理、降维、组合权重和灰色关联分析的能效评估方法，该方法可有效减少计算量，提高能效评估的准确性。再者，以中国某城市能源系统示范项目为例，设置了六种运行场景，并评估了每种场景的能效。结果表明，场景5（各园区独立运营并使用投资者提供的共享储能服务）能效最好，适合绿色低碳发展。几种对比评估方法的结果表明，本文的方法具有更好的能效评估结果。研究结果可为城市能源系统的规划、建设和运行提供参考。
Carbon efficiency evaluation method for urban energy system with multiple energy complementary
多能互补城市能源系统的低碳能效评估方法
Xianan Jiao, Jiekang Wu, Yunshou Mao, Mengxuan Yan
1.School of Automation,Guangdong University of Technology,Guangzhou 510006,P.R.China
2.Guangzhou Power Supply Bureau,Guangdong Power Grid Company,South China Power Grid,Guangzhou 510660,P.R.China
3.School of Electronic Information and Electrical Engineering,Huizhou University,Huizhou 516007,P.R.China
收听作者1分钟语音介绍
Abstract
Keywords
Urban energy systems (UESs);Multiple energy complementary system;Carbon efficiency evaluation;Data downscaling;Subjective and objective weight;Gray correlation analysis
Fig. 1 Structure of urban energy system
Fig. 2 Energy efficiency evaluation system for UES
Fig. 3 Generation of a new index and evaluation system
Fig. 4 Process of energy efficiency assessment for UES
Fig. 5 Data from six scenarios of the new index system
Fig. 6 Weights of each new index
Fig. 7 Gray correlation coefficient and gray correlation degrees of six scenarios
Fig. 8 Radar chart of the new index system
Fig. 9 Result of sensitivity analysis
本文引文信息
Jiao X N, Wu J L,Mao Y S, et al. (2023) Carbon efficiency evaluation method for urban energy system with multiple energy complementary, Global Energy Interconnection, 7(2): 142-155
焦夏男，吴杰康，茅云寿等 (2023) 多能互补城市能源系统的低碳能效评估方法. 全球能源互联网（英文）, 7(2): 142-155
Biographies
Xianan Jiao
Xianan Jiao received a B.S.and an M.S.degree in electrical engineering from Guangdong University of Technology,Guangzhou,China.He is currently purchasing a Ph.D.degree in electrical power engineering from Guangdong University of Technology.His current research interests include integrated energy system planning and operation,multi-energy network operation and optimization theory in these areas.
Jiekang Wu
Jiekang Wu is a professor and received a Ph.D.degree from South China University of Technology,Guangzhou,China.His employment experience includes as an engineer in a power supply bureau;an engineer in an electrical engineering designing institute;a professor in Zhejiang University,Guangxi University,Guangdong University of Technology;and an engineer in large enterprises.His current research interests include design of power systems with renewable energy,optimization of new power system and fault detection in distribution system.
Yunshou Mao
Yunshou Mao received a B.S.,an M.S.and a Ph.D.degree in electrical engineering from Guangdong University of Technology,Guangzhou,China.His current research interests include integrated energy system optimal operation and lightning protection of distribution system.
Mengxuan Yan
Mengxuan Yan received a B.S.and an M.S.degree in electrical engineering from Guangdong University of Technology,Guangzhou,China.Her current research interests include integrated energy system planning,wind power prediction and optimal scheduling of wind farms.
编辑：王彦博
审核：王 伟
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