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基于分层LMDI分解法的电力二氧化碳排放因子驱动因素分析及国际对比

ZHANG Shining HOU Fangxin WEN Ya LIU Yifang YANG Fang

中国电力2025,Vol.58Issue(12):96-106,11.
中国电力2025,Vol.58Issue(12):96-106,11.DOI:10.11930/j.issn.1004-9649.202504015

基于分层LMDI分解法的电力二氧化碳排放因子驱动因素分析及国际对比

Drivers of the Electricity Carbon Emission Factor:An LMDI-based Analysis and International Comparison

ZHANG Shining 1HOU Fangxin 1WEN Ya 1LIU Yifang 1YANG Fang1

作者信息

  • 1. Global Energy Interconnection Group Co.,Ltd.,Beijing 100031,China
  • 折叠

摘要

Abstract

The electricity carbon emission factor,as a core indicator for measuring the low-carbon progress of power systems,has become an important basis for the international carbon accounting system and green trade rules.Firstly,the core influencing factors for the electricity carbon emission factor were identified,and a method suitable for quantitatively assessing the contribution of the electricity carbon emission factor was proposed.Secondly,the contributions of different factors driving the decline of China's electricity carbon emission factor were quantitatively assessed,and the differences and reasons for the electricity carbon emission factors between China,Japan,and Germany were compared and analyzed.Finally,the potential for the decline of China's electricity carbon emission factor and the characteristics of the contributions of the main driving factors were quantitatively assessed.The study shows that from 2005 to 2022,China's electricity carbon emission factor decreased by 35%,with the increase in the grid cleanliness and the improvement of power generation efficiency being the two main influencing factors,contributing 19%and 14%respectively.China's electricity carbon emission factor is 22.5%higher than Japan's,primarily due to its heavy reliance on coal for thermal power.It is 53.5%higher than Germany's,mainly because of a lower clean energy share.Enhancing the grid cleanliness is the key driver for reducing China's electricity carbon emission factor,contributing over 80%to the decline.After new energy expansion reaches a certain scale,optimizing the structure of thermal power will also play a significant role.

关键词

电力行业/电力二氧化碳排放因子/驱动因素/贡献率

Key words

power sector/electricity carbon emission factor/driving factors/contribution rate

引用本文复制引用

ZHANG Shining,HOU Fangxin,WEN Ya,LIU Yifang,YANG Fang..基于分层LMDI分解法的电力二氧化碳排放因子驱动因素分析及国际对比[J].中国电力,2025,58(12):96-106,11.

基金项目

国家自然科学基金资助项目(72140006,72371102). This work is supported by National Natural Science Foundation of China(No.72140006,No.72371102). (72140006,72371102)

中国电力

OA北大核心

1004-9649

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