全球能源互联网（英文）2024，Vol.7Issue(2)：142-154,13.DOI:10.1016/j.gloei.2024.04.003
多能互补城市能源系统的低碳能效评估方法
Carbon efficiency evaluation method for urban energy system with multiple energy complementary
摘要
Abstract
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.关键词
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Key words
Urban energy systems(UESs)/Multiple energy complementary system/Carbon efficiency evaluation/Data downscaling/Subjective and objective weight/Gray correlation analysis引用本文复制引用
焦夏男,吴杰康,茅云寿,晏梦璇..多能互补城市能源系统的低碳能效评估方法[J].全球能源互联网（英文）,2024,7(2):142-154,13.基金项目
This work was supported by the National Natural Science Foundation of China under Grant 51567002 and Grant 50767001. （）
