Life Cycle Greenhouse Gas Analysis of Multiple Vehicle Fuel Pathways in China

Life Cycle Greenhouse Gas Analysis of Multiple Vehicle Fuel Pathways in China
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中国多种车辆燃料路径的生命周期温室气体分析

DOI:
10.3390/su9122183
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发表时间:
2017-11
期刊:
影响因子:
3.9
通讯作者:
Ou Xunmin
Ou Xunmin
中科院分区:
环境科学与生态学3区
文献类型:
--
作者:
Peng Ti;uo;Zhou Sheng;Yuan Zhiyi;Ou Xunmin

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应用清华大学生命周期分析模型(TLCAM)计算了中国20多种汽车燃料路径的生命周期化石能源消耗和温室气体排放。除了传统的汽油和柴油,这些包括煤和天然气为基础的车辆燃料,以及电动汽车(EV)的途径。结果表明:(1)中国目前对煤炭的依赖和相对低效的工艺限制了大多数替代燃料途径降低能源消耗和排放的潜力;(2)未来低碳电力途径具有更明显的优势,其中基于煤炭的途径需要采用二氧化碳捕获和储存技术来竞争;(3)对压缩天然气和液化天然气(LNG)燃料车辆的化石能源消耗进行的从油井到车轮的分析表明,它们与传统汽油车辆相当。然而,进口而不是国内生产的液化天然气用于车辆使用可以减少国内温室气体排放量的35%和31%,分别与传统的汽油和柴油汽车;(4)在电动汽车分析中,电池和车辆的制造和回收对电动汽车减少化石能源消耗和ICEV的温室气体排放的整体能力有显着影响。
The Tsinghua University Life Cycle Analysis Model (TLCAM) is applied to calculate the life cycle fossil energy consumption and greenhouse gas (GHG) emissions for more than 20 vehicle fuel pathways in China. In addition to conventional gasoline and diesel, these include coal- and gas-based vehicle fuels, and electric vehicle (EV) pathways. The results indicate the following. (1) China’s current dependence on coal and relative low-efficiency processes limits the potential for most alternative fuel pathways to decrease energy consumption and emissions; (2) Future low-carbon electricity pathways offer more obvious advantages, with coal-based pathways needing to adopt carbon dioxide capture and storage technology to compete; (3) A well-to-wheels analysis of the fossil energy consumption of vehicles fueled by compressed natural gas and liquefied natural gas (LNG) showed that they are comparable to conventional gasoline vehicles. However, importing rather than domestically producing LNG for vehicle use can decrease domestic GHG emissions by 35% and 31% compared with those of conventional gasoline and diesel vehicles, respectively; (4) The manufacturing and recovery of battery and vehicle in the EV analysis has significant impact on the overall ability of EVs to decrease fossil energy consumption and GHG emissions from ICEVs.
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发表时间: 2013-08
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影响因子: 9
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期刊: ENERGY
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