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基于中国电网结构及一线典型城市车辆出行特征的PHEV二氧化碳排放分析
引用本文:郝旭,王贺武,李伟峰,欧阳明高. 基于中国电网结构及一线典型城市车辆出行特征的PHEV二氧化碳排放分析[J]. 环境科学, 2019, 40(4): 1705-1714
作者姓名:郝旭  王贺武  李伟峰  欧阳明高
作者单位:清华大学汽车安全与节能国家重点实验室,北京,100084;清华大学汽车安全与节能国家重点实验室,北京100084;清华大学中国车用能源研究中心,北京100084;北京电动车辆协同创新中心,北京100084
基金项目:国家国际科技合作专项(2016YFE0102200);国家重点研发计划项目(2018YFB0106404)
摘    要:中国电网火电比例的空间差异与插电式混合动力汽车(PHEV)驱动能源的二元性增加了研究PHEV二氧化碳排放的复杂性.使用上海市50辆PHEV汽车13万km的数据,研究了基于PHEV实际运行数据的二氧化碳排放评估方法,分析了PHEV纯电驱动里程比例及其影响因素,获得了纯电续驶里程、充电频率、电网构成对PHEV二氧化碳排放强度的影响,展望了2020年PHEV技术水平的二氧化碳减排效果.结果表明,我国一线城市PHEV乘用车出行主要集中在50 km以内的范围,占日常出行频次的70%;在2016年全国平均电网结构下,续驶里程超过50 km的PHEV比传统燃油车少排放15%以上的二氧化碳;在高比例可再生能源电网结构的地区,PHEV碳排放可降至100.0 g·km-1以下,相比平均电网结构下碳排放水平降低幅度在28%以上;在2016年平均电网结构及技术水平下,纯电续驶里程增加(50~100 km)、充电频率增加(0.5~2次·d-1)对碳排放的改善幅度不明显;与2016年相比,2020年PHEV燃油经济性和电耗水平的改善可降低32%的碳排放.

关 键 词:插电式混合动力乘用车(PHEV)  碳排放  出行特征  纯电里程比例  电网结构
收稿时间:2018-06-06
修稿时间:2018-10-19

Analysis of PHEV CO2 Emission Based on China's Grid Structure and Travelling Patterns in Mega Cities
HAO Xu,WANG He-wu,LI Wei-feng and OUYANG Ming-gao. Analysis of PHEV CO2 Emission Based on China's Grid Structure and Travelling Patterns in Mega Cities[J]. Chinese Journal of Environmental Science, 2019, 40(4): 1705-1714
Authors:HAO Xu  WANG He-wu  LI Wei-feng  OUYANG Ming-gao
Affiliation:State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, China,State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, China;China Automotive Energy Research Center, Tsinghua University, Beijing 100084, China;Collaborative Innovation Center for Electric Vehicles, Beijing 100084, China,State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, China and State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, China
Abstract:Spatial-domain changes in the proportion of thermal power in the power grids of China and the duality of PHEV-driven energy have increased the complexity of research on the CO2 emissions of plug-in hybrid electric vehicles (PHEVs). 130000 km of driving data from 50 PHEV vehicles operating in Shanghai is studied to derive methods to evaluate the carbon dioxide emission of PHEV vehicles. The electric drive distance ratio of the PHEV and its influencing factors are analyzed. The effects of the electric range, charging frequency, and power grid composition on the carbon emission intensity of PHEV are analyzed, and the effect of the level of progress for PHEV in 2020 on CO2 emission reductions is forecast. The results of the study show that the daily vehicle kilometers travelled by PHEV passenger cars in China''s first-tier cities are mainly concentrated within a range of 50 km, accounting for 70% of total trips. Under the national grid structure in 2016, PHEVs with a driving range of more than 50 km emit at least 15% less carbon dioxide than conventional vehicles. In areas with a high proportion of renewable energy grid structure, PHEV carbon dioxide emissions can be reduced to below 100.0 g·km-1, which is more than 28% lower than that achieved using the national grid structure. Based on the national grid structure and technical level in 2016, increasing the all-electric range (50-100 km) and the charging frequency (0.5 times·d-1 to 2 times·d-1) has no obvious effect on reducing CO2 emissions. The PHEV fuel economy and electricity consumption levels in 2020 could reduce carbon dioxide emissions by 32% compared to those in 2016.
Keywords:plug-in hybrid electric vehicle (PHEV)  carbon dioxide emissions  travel pattern  electric distance ratio  grid structure
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