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

Global Energy Interconnection 2024年第2期7卷 142-154页

作者： Xianan Jiao Jiekang Wu Yunshou Mao Mengxuan Yan School of Automation Guangdong University of TechnologyGuangzhou 510006P.R.China Guangzhou Power Supply Bureau Guangdong Power Grid CompanySouth China Power GridGuangzhou 510660P.R.China School of Electronic Information and Electrical Engineering Huizhou UniversityHuizhou 516007P.R.China

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.

关键词： Urban energy systems(UESs) Multiple energy complementary system Carbon efficiency evaluation data downscaling Subjective and objective weight Gray correlation analysis

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