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Projection of automobile energy consumption and CO2 emissions with different propulsion/fuel system scenarios in Beijing

机译:北京不同推进/燃料系统情景的汽车能源消耗和二氧化碳排放的投影

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A life cycle analysis method was used to calculate perkilometer-based fossil fuel energy consumption and CO_2 emissions of internal combustion engine vehicle (ICEV) and different types of electric-powered vehicles: hybrid electric vehicle (HEV), plug-in hybrid electric vehicle (PHEV), and pure electric vehicle (EV) for Beijing. The results show that HEV, PHEV and EV have significant well-to-wheels (WTW) benefits in per-kilometer-based energy saving. Compared with ICEV, HEV, PHEV and EV could reduce 29%, 30% and 40% of perkilometer-based fossil fuel energy consumption in 2030, respectively. While, the CO_2 reduction benefits for PHEV and EV are less due to the penalty of CO_2 emissions from upstream coal power plants. For example, PHEV and EV could only reduce 15%-20% of per-kilometer-based CO_2 emission relative to ICEV in 2030. We further forecast the total automobile stock in Beijing would reach 8.9-11.0 million by 2030, and four electric-powered vehicle penetration scenarios were designed to evaluate the effect of fleet-based fossil fuel energy saving and CO_2 emission reduction. The WTW fossil fuel energy consumption with base case scenario will reach peak in 2020, about 480×10~(15)J. The most aggressive scenario (scenario 4) could save 21% of WTW fossil fuel energy compared with base case scenario in 2030. The WTW CO_2 emission of base case scenario will also reach its peak of 35 million tons around 2020. With the promotion of electric vehicles, scenarios 1 to 4 could reduce 5%-16% of WTW CO_2 emissions for the Beijing vehicle fleet compared with base case scenario in 2030.
机译:使用寿命周期分析方法用于计算基于蜂鸣器的化石燃料能耗和内燃机车辆(ICEV)和不同类型的电动车辆的CO_2排放:混合动力电动车辆(HEV),插入式混合动力电动车( PHEV)和北京的纯电动车(EV)。结果表明,HEV,PHEV和EV在基于每公里的节能方面具有显着的井(WTW)益处。与ICEV,HEV,PHEV和EV相比,分别在2030年分别降低了基于Percometer的化石燃料能耗的29%,30%和40%。虽然,PHEV和EV的CO_2减少益处由于CO_2来自上游煤发电厂的罚款。例如,PHEV和EV只能在2030年减少相对于ICEV的每公里基于每公里的CO_2排放量的15%-20%。我们进一步预测北京的汽车总量将达到2030年的8.9-11.0百万,四个电气动力车辆渗透方案旨在评估车队的化石燃料节能和CO_2减排的效果。 WTW化石燃料能耗与基本情况场景将在2020年达到峰值,约480×10〜(15)j。最具侵略性的情况(方案4)可以节省21%的WTW化石燃料能量与2030年的基本案例方案相比。基本案例方案的WTW CO_2排放将达到2020年大约3500万吨的峰值。随着电动的推广车辆,情景1至4可以减少北京车队的WTW CO_2排放量的5%-16%,而2030年的基本案例场景相比。

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