我国碳排放影响因素及电力碳排放核算方法研究综述OA北大核心CSTPCD
A Review of the Impact Factors of Carbon Emissions and the Accounting Methods for Electricity Carbon Emissions in China
在全球气候变化的严峻挑战下,我国明确了在 2030年前争取达到二氧化碳排放的峰值,并努力争取在 2060 年前实现碳中和的目标.实现"双碳"目标的基础是碳排放量统计核算,该文综述了IPAT系列模型、指数分解法、结构分解法3类主流影响因素分析方法的优势、局限性和应用范围.同时,从公式、优势、局限性、适用尺度和应用范围等方面对4种主流碳排放核算方法(排放因子法、物料平衡法、实测法、大数据计算法)进行总结.最后,聚焦于电力领域,从发电侧、电网侧和用户侧分析了电力碳排放核算方法.通过上述研究,指出我国现有碳排放核算研究的不足,并对我国碳排放核算方法研究提出建议.
In response to global climate change,China is aiming to reach peak carbon emissions before 2030 and carbon neutrality before 2060.The basis of realizing this goal is the statistical accounting of carbon emissions.This paper summarizes the advantages,limitations and application of three main impact factor analysis methods,including IPAT series model,index decomposition method and structural decomposition method.Meanwhile,four mainstream carbon emission accounting methods(carbon emission factor method,material balance method,measurement method and big data calculation method)are summarized from the aspects of formula,advantages,limitations,applicable scale and application scope.Finally,focusing on the electric power field,this paper analyzes the calculation methods of electric power carbon emissions from the generation side,the grid side and the user side.Through the above research,this paper indicates the shortcomings of Chinese carbon accounting methods,and proposes suggestions for the research direction of Chinese carbon emission calculation.
吴杏平;康重庆;袁启恒
国家电网有限公司信息通信分公司,北京市 西城区 100761清华大学电机系,北京市 海淀区 100084国家电网有限公司大数据中心,北京市 西城区 100052
动力与电气工程
碳排放影响因素碳排放核算电力碳排放电力大数据
influence factors of carbon emissionscarbon emissions accountingelectricity carbon emissionspower big data
《中国电机工程学报》 2024 (0z1)
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