首页> 外文会议>Remote Sensing, Environment and Transportation Engineering (RSETE), 2012 2nd International Conference on >Projection of Automobile Energy Consumption and CO2 Emissions with Different Propulsion/Fuel System Scenarios in Beijing
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Projection of Automobile Energy Consumption and CO2 Emissions with Different Propulsion/Fuel System Scenarios in Beijing

机译:北京地区不同推进/燃油系统情景下汽车能耗和CO2排放量的预测

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A life cycle analysis method was used to calculate per-kilometer-based fossil fuel energy consumption and CO2 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 per-kilometer-based fossil fuel energy consumption in 2030, respectively. While, the CO2 reduction benefits for PHEV and EV are less due to the penalty of CO2 emissions from upstream coal power plants. For example, PHEV and EV could only reduce 15%-20% of per-kilometer-based CO2 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 CO2 emission reduction. The WTW fossil fuel energy consumption with base case scenario will reach peak in 2020, about 480r7;10^15J. The most aggressive scenario (scenario 4) could save 21% of WTW fossil fuel energy compared with base case scenario in 2030. The WTW CO2 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 CO2 emissions for the Beijing vehicle fleet compared with base case scenario in 2030.
机译:生命周期分析方法用于计算每公里基于化石燃料的能源消耗以及内燃机车辆(ICEV)和不同类型的电动车辆(混合动力电动汽车(HEV),插电式混合动力电动汽车)的CO2排放量汽车(PHEV)和北京的纯电动汽车(EV)。结果表明,混合动力汽车,插电式混合动力汽车和电动汽车在基于公里的节能中具有显着的“轮到车轮”优势。与ICEV相比,HEV,PHEV和EV可以在2030年分别减少每公里基于化石燃料的能源消耗的29%,30%和40%。同时,由于上游燃煤电厂的CO2排放受到惩罚,因此PHEV和EV的CO2减少收益较少。例如,相对于ICEV,PHEV和EV在2030年每公里的二氧化碳排放量仅减少15%-20%。我们进一步预测,到2030年,北京的汽车总存量将达到8.9-11.0百万辆,其中四辆电动汽车动力车辆的渗透方案旨在评估基于车队的化石燃料节能和减少CO2排放的效果。在基本情况下,WTW化石燃料的能耗将在2020年达到峰值,约为480r7; 10 ^ 15J。与基本情景相比,最激进的情景(情景4)可以节省21%的WTW化石燃料能源。基本情景中的WTW CO2排放量也将在2020年左右达到3500万吨的峰值。与2030年的基本情景相比,情景1至4可以减少北京车辆车队的WTW CO2排放量5%-16%。

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