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Shaping sustainable vehicle fleet conversion policies based on life cycle optimization and risk analysis.

机译:基于生命周期优化和风险分析,制定可持续的车队转换政策。

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摘要

Although recent progress in vehicle technology and regulation has improved the environmental performance of new model vehicles, the continuing use of old, high-polluting vehicles contributes to air quality issues. While scrappage programs attempt to reduce emissions from old, high-emitting vehicles, life cycle assessment (LCA) studies show that scrapping old vehicles and manufacturing new vehicles also account for significant life cycle emissions. The expected median lifetime of automobiles increased from 12.5 years for model year 1980 to 16.9 years for model year 1990. But it is unclear whether this trend is optimal from an energy and environmental perspective. This study combines the LCA method with mathematical tools such as dynamic programming to determine optimal vehicle replacement/retirement policies.; A life cycle optimization (LCO) model is developed and applied to mid-sized generic cars based on driving 12,000 miles annually, over a 36-year time horizon (between 1985 and 2020). For CO, NMHC, and NOx, automobile lifetimes ranging from 3 to 6 years are optimal for 1980s and early 1990s model years, while optimal lifetimes are 7 to 14 years for model year 2000s and beyond. On the other hand, a lifetime of 18 years minimizes cumulative life cycle energy use and CO2 emissions.; In addition, both ideal and practical fleet conversion policies were investigated from a life cycle perspective. According to the simulation results, accelerated scrapping policies increase greenhouse gases but reduce regulated emissions. These results are consistent with the results of the LCO model.; Maintaining old vehicles in good condition would be another effective strategy for reducing emissions from high-emitting vehicles. The inspection and maintenance programs (I/M) have been used to identify and repair high-emitting vehicles. Based on Fault Tree Analysis (FTA) of emission control systems together with IM147 test records in the Arizona area, this study identifies limitations of specific repairs (e.g., catalytic converter repairs) for I/M improvement. Benefits of I/M programs and policy scenarios combining scrappage programs are also explored.; The models used in this study can help policy-makers, manufacturers, and consumers understand the importance of issues regarding vehicle retirement decisions and guide decision-makers to environmentally sound fleet conversion strategies.
机译:尽管车辆技术和法规方面的最新进展已改善了新型车辆的环境性能,但继续使用旧的高污染车辆会导致空气质量问题。报废计划试图减少旧的高排放车辆的排放,而生命周期评估(LCA)研究表明,报废旧车辆和制造新车辆也造成了很大的生命周期排放。汽车的预期平均寿命从1980年模型的12.5年增加到1990年模型的16.9年。但是,从能源和环境的角度来看,这种趋势是否最佳,尚不清楚。这项研究将LCA方法与数学工具(例如动态规划)结合在一起,以确定最佳的车辆更换/报废政策。建立了生命周期优化(LCO)模型并将其应用于中型通用汽车,该模型基于在36年的时间范围内(1985年至2020年)每年行驶12,000英里。对于CO,NMHC和NOx,1980年代和1990年代早期的模型汽车的最佳使用寿命为3至6年,而2000年代及以后的模型汽车的最佳寿命为7至14年。另一方面,使用寿命为18年,可将生命周期内的累计能源消耗和CO 2 排放量降至最低。此外,还从生命周期的角度研究了理想和实用的车队转换政策。根据模拟结果,加速报废政策增加了温室气体的排放,但减少了规定的排放量。这些结果与LCO模型的结果一致。保持旧车状态良好将是减少高排放车辆排放的另一项有效策略。检查和维护程序(I / M)已用于识别和维修高排放车辆。基于排放控制系统的故障树分析(FTA)和亚利桑那州地区的IM147测试记录,本研究确定了针对I / M改善的特定维修(例如催化转换器维修)的局限性。还探讨了I / M程序和结合了报废程序的策略方案的好处。本研究中使用的模型可以帮助决策者,制造商和消费者了解有关车辆报废决策的重要性,并指导决策者采用无害环境的车队转换策略。

著录项

  • 作者

    Kim, Hyung Chul.;

  • 作者单位

    University of Michigan.;

  • 授予单位 University of Michigan.;
  • 学科 Transportation.; Environmental Sciences.
  • 学位 Ph.D.
  • 年度 2003
  • 页码 230 p.
  • 总页数 230
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 综合运输;环境科学基础理论;
  • 关键词

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