首页|多能互补城市能源系统的低碳能效评估方法

多能互补城市能源系统的低碳能效评估方法

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  • 国家科技期刊平台
  • NETL
  • NSTL
  • 万方数据
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
Urban energy systems(UESs)play a pivotal role in the consumption of clean energy and the promotion of energy cascade utilization.In the context of the construction and operation strategy of UESs with multiple complementary energy resources,a comprehensive assessment of the energy efficiency is of paramount importance.First,a multi-dimensional evaluation system with four primary indexes of energy utilization,environmental protection,system operation,and economic efficiency and 21 secondary indexes is constructed to comprehensively portray the UES.Considering that the evaluation system may contain a large number of indexes and that there is overlapping information among them,an energy efficiency evaluation method based on data processing,dimensionality reduction,integration of combined weights,and gray correlation analysis is proposed.This method can effectively reduce the number of calculations and improve the accuracy of energy efficiency assessments.Third,a demonstration project for a UES in China is presented.The energy efficiency of each scenario is assessed using six operational scenarios.The results show that Scenario 5,in which parks operate independently and investors build shared energy-storage equipment,has the best results and is best suited for green and low-carbon development.The results of the comparative assessment methods show that the proposed method provides a good energy efficiency assessment.This study provides a reference for the optimal planning,construction,and operation of UESs with multiple energy sources.

Urban energy systems(UESs)Multiple energy complementary systemCarbon efficiency evaluationData downscalingSubjective and objective weightGray correlation analysis

焦夏男、吴杰康、茅云寿、晏梦璇

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School of Automation,Guangdong University of Technology,Guangzhou 510006,P.R.China

Guangzhou Power Supply Bureau,Guangdong Power Grid Company,South China Power Grid,Guangzhou 510660,P.R.China

School of Electronic Information and Electrical Engineering,Huizhou University,Huizhou 516007,P.R.China

城市能源系统 多能互补能源系统 低碳能效评估 数据降维 主客观权重 灰色关联分析

National Natural Science Foundation of ChinaNational Natural Science Foundation of China

5156700250767001

2024

10.1016/j.gloei.2024.04.003

全球能源互联网(英文)

全球能源互联网(英文)

CSTPCDEI
ISSN：2096-5117
年,卷(期)：2024.7(2)
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