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Carbon efficiency evaluation method for urban energy system with multiple energy complementary

Carbon efficiency evaluation method for urban energy system with multiple energy complementary

作     者:Xianan Jiao Jiekang Wu Yunshou Mao Mengxuan Yan Xianan Jiao;Jiekang Wu;Yunshou Mao;Mengxuan Yan

作者机构:School of AutomationGuangdong University of TechnologyGuangzhou 510006P.R.China Guangzhou Power Supply BureauGuangdong Power Grid CompanySouth China Power GridGuangzhou 510660P.R.China School of Electronic Information and Electrical EngineeringHuizhou UniversityHuizhou 516007P.R.China 

出 版 物:《Global Energy Interconnection》 (全球能源互联网(英文版))

年 卷 期:2024年第7卷第2期

页      面:142-154页

核心收录:

学科分类:080802[工学-电力系统及其自动化] 0808[工学-电气工程] 08[工学] 

基  金:supported by the National Natural Science Foundation of China under Grant 51567002 and Grant 50767001 

主  题:Urban energy systems(UESs) Multiple energy complementary system Carbon efficiency evaluation Data downscaling Subjective and objective weight Gray correlation analysis 

摘      要:Urban energy systems(UESs)play a pivotal role in the consumption of clean energy and the promotion of energy cascade *** 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 ***,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 *** 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 *** method can effectively reduce the number of calculations and improve the accuracy of energy efficiency ***,a demonstration project for a UES in China is *** energy efficiency of each scenario is assessed using six operational *** 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 *** results of the comparative assessment methods show that the proposed method provides a good energy efficiency *** study provides a reference for the optimal planning,construction,and operation of UESs with multiple energy sources.

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