王嘉诚, 刘晓峰, 梅文卿, 季振亚, 刘国宝. 全生命周期视角下区域级电动汽车碳排放评估[J]. 电力建设, 2023, 44(6): 33-40.
引用本文: 王嘉诚, 刘晓峰, 梅文卿, 季振亚, 刘国宝. 全生命周期视角下区域级电动汽车碳排放评估[J]. 电力建设, 2023, 44(6): 33-40.
WANG Jia-cheng, LIU Xiao-feng, MEI Wen-qing, JI Zhen-ya, LIU Guo-bao. Carbon-Emission Assessment of Regional Electric Vehicles From the Full Life Cycle Perspective[J]. Electric Power Construction, 2023, 44(6): 33-40.
Citation: WANG Jia-cheng, LIU Xiao-feng, MEI Wen-qing, JI Zhen-ya, LIU Guo-bao. Carbon-Emission Assessment of Regional Electric Vehicles From the Full Life Cycle Perspective[J]. Electric Power Construction, 2023, 44(6): 33-40.

全生命周期视角下区域级电动汽车碳排放评估

Carbon-Emission Assessment of Regional Electric Vehicles From the Full Life Cycle Perspective

  • 摘要: 碳达峰、碳中和是国家实施的重要战略决策,而发展电动汽车是实现低碳的举措之一。针对现有电动汽车碳排放评估片面和不准确的问题,提出了一种全生命周期视角下区域级电动汽车碳排放评估方法。为评估电动汽车整个生命周期内的碳排放,首先从材料周期和燃料周期出发构建了电动汽车碳排放的评估指标及其量化模型。进而,利用三阶段数据包络分析法对区域级内所有的电动汽车碳排放量进行分析,获取区域级内电动汽车碳排放评价结果。最后,将省级作为区域级,采用各省实际车辆和发展数据,对我国各省电动汽车碳排放展开评估。仿真结果表明,我国省级电动汽车碳排放效率差异较大,所提评估方法能够消除随机因素扰动,对区域级电动汽车碳排放全面评估。

     

    Abstract: “Carbon peaking” and “carbon neutrality” are important strategic decisions implemented by countries, and the development of electric vehicles is one measure of achieving low carbon emissions. This study proposes a regional-level method for assessing carbon emissions of electric vehicles from a full lifecycle perspective. This method addresses the one-sidedness and inaccuracies present in existing carbon emission assessments for electric vehicles. To evaluate the carbon emissions of electric vehicles throughout their life cycle, an evaluation index and a quantitative model, beginning from the material and fuel cycles, were constructed. Subsequently, a three-stage data envelopment analysis was employed to analyze the carbon emissions and obtain the carbon emission assessment results of all regional electric vehicles. The method was further applied at the provincial level using actual vehicle and development data from each province to evaluate the carbon emissions of electric vehicles in various provinces of China. The simulation results indicated significant differences in the carbon emission efficiency of provincial electric vehicles in China and demonstrated that the proposed evaluation method can eliminate random factor disturbances and comprehensively evaluate the carbon emissions of regional electric vehicles.

     

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