摘要
利用清华大学Tsinghua—CA3EM模型的从矿井到车轮（Well-to—Wheels，WTW）模块，以2020年为目标年份，对5条煤电技术供电驱动电动汽车路线进行了全生命周期能耗和温室气体排放定量计算，并与综合电网供电路线和传统汽油车路线进行了对比分析。在电力使用环节分析基础上全面考虑了资源开采、运输和电力输配等阶段能耗和排放情况。结果表明：电动汽车的全生命周期能耗为1123～1592kJ／km，温室气体排放当量CO，为131～162g／km；相对汽油车路线，电动汽车路线的节能减排优势明显，节能35％以上，减排20％左右；电动汽车替代汽油车，煤炭消耗增加3～5倍，但石油消耗减少97％以上，符合中国以煤代油的能源战略；采用整体煤气化联合循环发电和碳捕捉及封存技术组合的先进供电技术供电驱动电动汽车，与汽油车路线相比，温室气体减排达80％，能耗降低仍达40％。
The energy consumption and pollutants emissions Well-to-Wheels life cycle analysis module affiliated to Tsinghua - CA3EM model was used to calculate the energy consumption and greenhouse gas （GHG） emissions of electric vehicles （EV） for China in 2020. Five coal-power electricity-supplying EV pathways were analyzed with comparison to the mixed grid electricity-supplying EV pathway and conventional gasoline car pathway. Not only the vehicle operating stage was taken into account, but also the stages from resource exploitation, resource transportation to electricity transmission and distribution were analyzed comprehensively. The resuhs show that life cycle energy consumption and GHG emissions of EV are 1 123 - 1 592 kJ/km and 131 - 162 g Carbon Dioxide equilibrium per-km;EV has the obvious advantages of over 35% of energy-saving and about 20% of GHG emission-reduction compared to gasoline cars; the promotion of EV is in line with China＇s energy security strategy of substitute coal for oil due to 300% - 500% more coal consumption but 97% less petroleum consumption ;there are 80% of GHG emission reduction for the path- way of EV driven by electricity supplied by the combination of advanced coal integrated gasification combined cycle with Carbon Dioxide capture and storage technologies companied with 40% of energy-saving compared to gasoline ears.
出处
《煤炭学报》
EI
CAS
CSCD
北大核心
2010年第1期169-172,共4页
Journal of China Coal Society
基金
国家自然科学基金支持的重大国际(地区)合作研究项目(50520140517)
国家能源局
通用汽车/上汽集团资助项目(CAERC)
北京市科委软科学博士论文研究资助项目(zz2009)
关键词
煤电技术
电动汽车
全生命周期分析
能耗
温室气体
coal-power technology
electric vehicle
life cycle analysis
energy consumption
greenhouse gas
