首页> 外文会议>SAE World Congress >Well-to-Wheels Results of Energy Use, Greenhouse Gas Emissions, and Criteria Air Pollutant Emissions of Selected Vehicle/Fuel Systems
【24h】

Well-to-Wheels Results of Energy Use, Greenhouse Gas Emissions, and Criteria Air Pollutant Emissions of Selected Vehicle/Fuel Systems

机译:能源使用的井轮,温室气体排放和选定车辆/燃料系统的标准空气污染物排放

获取原文

摘要

A fuel-cycle model-called the Greenhouse gases, Regulated Emissions, and Energy use in Transportation (GREET) model-has been developed at Argonne National Laboratory to evaluate well-to-wheels (WTW) energy and emission impacts of motor vehicle technologies fueled with various transportation fuels. The new GREET version has up-to-date information regarding energy use and emissions for fuel production activities and vehicle operations. In this study, a complete WTW evaluation targeting energy use, greenhouse gases (CO{sub}2, CH{sub}4, and N{sub}2O), and typical criteria air pollutants (VOC, NO{sub}x, and PM{sub}10) includes the following fuel options-gasoline, diesel, and hydrogen; and the following vehicle technologies--spark-ignition engines with or without hybrid configurations, compression-ignition engines with hybrid configurations, and hydrogen fuel cells with hybrid configurations. Because the parametric assumptions in the GREET model involve uncertainties, we conducted stochastic simulations with GREET by establishing probability distribution functions for key input parameters (e.g., energy efficiencies, emission factors) regarding well-to-pump (WTP) activities and vehicle operations based on the detailed up-to-date data. We applied the Hammersley Sequence Sampling (HSS) technique for stochastic simulations in GREET to take into account the probability distributions of key input parameters, and produced the results in the form of a statistical distribution for a given energy or emission item. The WTW analysis shows that advanced vehicle/fuel systems achieve reductions in energy use, greenhouse gas emissions, and criteria pollutant emissions compared to baseline gasoline vehicles through 1) improved vehicle fuel economy, 2) reduced tailpipe/evaporative vehicle emissions, and/or 3) differences in fuel production pathways.
机译:一种燃料循环模型,称为温室气体,监管排放和在运输中的能源使用(迎接)模型 - 已在Argonne National实验室开发,以评估机动车技术的牢固电动机(WTW)能源和排放影响有各种运输燃料。新迎宾版本具有关于燃料生产活动和车辆操作的能源使用和排放的最新信息。在本研究中,一个完整的WTW评估靶向能源使用,温室气体(Co {Sub} 2,CH {Sub} 4和N {Sub} 2O),以及典型的标准空气污染物(VOC,NO {Sub} x,和PM {Sub} 10)包括以下燃料选择 - 汽油,柴油和氢气;和以下车辆技术 - 带有或没有混合配置的火花点火发动机,具有混合配置的压缩点火发动机,以及具有混合配置的氢燃料电池。因为迎宾模型中的参数假设涉及不确定性,所以通过建立关于孔隙(例如,能量效率,排放因子)的概率分布函数来进行有关基于泵井(WTP)活动和车辆操作的概率分布函数进行随机仿真。详细的最新数据。我们应用了Hammersley序列采样(HSS)技术,用于随机模拟,以考虑关键输入参数的概率分布,并以给定的能量或发射项目的统计分布形式产生结果。 WTW分析表明,与基线汽油车辆的基线汽油车辆相比,先进的车辆/燃料系统实现了能源使用,温室气体排放和标准排放的降低),通过1)改善了车辆燃料经济性,2)减少了尾管/蒸发车辆排放和/或3 )燃料生产途径的差异。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号