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Regional Variability and Uncertainty of Electric Vehicle Life Cycle CO_2 Emissions across the United States

机译:全美国电动汽车生命周期CO_2排放的区域变异性和不确定性

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摘要

We characterize regionally specific life cycle CO_2 emissions per mile traveled for plug-in hybrid electric vehicles (PHEVs) and battery electric vehicles (BEVs) across the United States under alternative assumptions for regional electricity emission factors, regional boundaries, and charging schemes. We find that estimates based on marginal vs average grid emission factors differ by as much as 50% (using National Electricity Reliability Commission (NERC) regional boundaries). Use of state boundaries versus NERC region boundaries results in estimates that differ by as much as 120% for the same location (using average emission factors). We argue that consumption-based marginal emission factors are conceptually appropriate for evaluating the emissions implications of policies that increase electric vehicle sales or use in a region. We also examine generation-based marginal emission factors to assess robustness. Using these two estimates of NERC region marginal emission factors, we find the following: (1) delayed charging (i.e., starting at midnight) leads to higher emissions in most cases due largely to increased coal in the marginal generation mix at night; (2) the Chevrolet Volt has higher expected life cycle emissions than the Toyota Prius hybrid electric vehicle (the most efficient U.S. gasoline vehicle) across the U.S. in nearly all scenarios; (3) the Nissan Leaf BEV has lower life cycle emissions than the Prius in the western U.S. and in Texas, but the Prius has lower emissions in the northern Midwest regardless of assumed charging scheme and marginal emissions estimation method; (4) in other regions the lowest emitting vehicle depends on charge timing and emission factor estimation assumptions.
机译:我们根据区域电力排放因子,区域边界和充电方案的替代假设,对全美插电式混合动力汽车(PHEV)和电池电动汽车(BEV)每英里行驶的区域特定生命周期CO_2排放进行表征。我们发现,基于边际与平均电网排放因子的估算值相差多达50%(使用国家电力可靠性委员会(NERC)区域边界)。使用状态边界与NERC区域边界,得出的估计值在同一位置的差异高达120%(使用平均排放因子)。我们认为,基于消费的边际排放因子在概念上适合评估增加区域内电动汽车销售或使用的政策对排放的影响。我们还研究了基于发电的边际排放因子,以评估稳健性。使用这两个NERC地区边际排放因子的估计值,我们发现:(1)在大多数情况下,延迟充电(即从午夜开始)会导致更高的排放量,这主要是由于夜间边际发电混合物中的煤炭增加所致; (2)在几乎所有情况下,雪佛兰Volt的预期生命周期排放量都比全美国的Toyota Prius混合动力汽车(美国最高效的汽油汽车)更高; (3)日产聆风电动汽车的生命周期排放量低于美国西部和得克萨斯州的普锐斯,但无论采用哪种收费方案和边际排放估算方法,普锐斯在中西部北部的排放量都较低; (4)在其他地区,最低排量的车辆取决于充电时间和排放因子估计假设。

著录项

  • 来源
    《Environmental Science & Technology》 |2015年第14期|8844-8855|共12页
  • 作者单位

    Department of Engineering and Public Policy, Carnegie Mellon University, 129 Baker Hall, Pittsburgh, Pennsylvania 15213, United States;

    Department of Engineering and Public Policy, Carnegie Mellon University, 129 Baker Hall, Pittsburgh, Pennsylvania 15213, United States,Department of Mechanical Engineering, Carnegie Mellon University, 324 Scaife Hall, Pittsburgh, Pennsylvania 15213, United States;

    Department of Engineering and Public Policy, Carnegie Mellon University, 129 Baker Hall, Pittsburgh, Pennsylvania 15213, United States,Department of Civil and Environmental Engineering, Carnegie Mellon University, 119 Porter Hall, Pittsburgh, Pennsylvania 15213, United States;

    Department of Engineering and Public Policy, Carnegie Mellon University, 129 Baker Hall, Pittsburgh, Pennsylvania 15213, United States;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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  • 入库时间 2022-08-17 13:59:46

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