首页> 外文会议>Conseil International des Grands Reseaux Electriques;International Council on Large Electric Systems;CIGRE session >Life Cycle Assessment of electric vehicles focussing on local impacts within a city region
【24h】

Life Cycle Assessment of electric vehicles focussing on local impacts within a city region

机译:电动汽车的生命周期评估着重于城市区域内的局部影响

获取原文

摘要

In the media, electric vehicles (EV) are often propagated as “Zero Emission vehicles” causing a debate about the truth of this statement. This paper neutrally answers the question whether EV are environ-mentally friendlier than conventional vehicles by using the methodology of the life cycle assessment (LCA) taking all phases of the life cycle into account. Variations in the basic assumptions are included in the analysis to show the effect on the results of the following impact categories: global warming potential (GWP), acidification (AP) and eutrophication (EP). Supplementary, the ecological effect on city centres due to a high integration of EV is determined comparing only the local emission during the use phase of the vehicles and the impact on its vicinity.The results of the LCA for compact vehicles comparing a conventional vehicle with an internal com-bustion engine, an EV and a plug-in hybrid EV (PHEV) in Germany illustrate that the GWP and the AP of EV (157,18 g CO_2-Eq/km) is the lowest followed by the PHEV (178,62 g CO_2-Eq/km) while a conventional vehicle has a GWP of 256,08 g CO_2-Eq/km. Only in the impact category EP the conven-tional vehicle is superior. Around 78% of the CO_2-Eq emissions allocated to the EV arise during its use phase making the assumption for the energy mix for the charging and the consumption values very important. A variation of the energy mix by comparing three countries shows that EV charged with a mainly coal based energy mix have higher emissions in every impact category (GWP: 264,73 g CO_2-Eq/km) compared to conventional vehicles. A energy mix predominantly based on renewable energy sources reduces the impact category values significantly (e.g. the GWP is reduced to 54,92 g CO_2-Eq/km). In the future the influence of charging strategies of EV on the energy system and the implica-tions of the LCA results have to be analysed in detail. The consumption values as a basis for this as-sessment are verified by a statistical evaluation of field test data. The measured data contain infor-mation about driving routes, consumption and charging behaviour. An analysis of the consumption values of test vehicles show that these values, which are determined by using the new European driv-ing cycle, are too low. Hence, the LCA results have to be increased to gain realistic results. However, the consumption values of conventional vehicle have likewise to be investigated for a comparable result. The detailed analysis of a region in Germany (Aachen), based on a realistic driving model, quantifies local emissions such as particulate matter, CO and NOx. These emissions affect the quality of life within some regions (in particular within city centres) given a high integration rate of EV. Therefore, the traffic of the whole region is simulated with multi agent systems, determining destina-tions and driving routes of each agent automatically. This approach allows assigning of emissions to individual streets showing that a high penetration rate of EV improves the situation within city centres even though EV produce local emissions and hence cannot be called “zero emission vehicles”.
机译:在媒体中,电动汽车(EV)通常以“零排放汽车”的形式传播,引起人们对该声明真实性的争论。本文通过使用生命周期评估(LCA)方法并考虑了生命周期的所有阶段,中性地回答了EV是否比传统车辆在环境上更友好的问题。分析中包括基本假设的变化,以显示对以下影响类别的结果的影响:全球变暖潜势(GWP),酸化(AP)和富营养化(EP)。作为补充,仅通过比较车辆使用阶段的局部排放及其对周边的影响,即可确定由于电动汽车的高度集成而对城市中心产生的生态影响。 紧凑型车的LCA结果将德国的传统车与内燃机,EV和插电式混合动力EV(PHEV)进行了比较,表明GWP和EV的AP(157.18 g CO_2- Eq / km)是最低的,其次是PHEV(178.62 g CO_2-Eq / km),而常规车辆的GWP为256.08 g CO_2-Eq / km。仅在冲击类别EP中,常规车辆才是一流的。分配给EV的CO_2-Eq排放量中约有78%在其使用阶段产生,因此对于充电的能量混合和消耗值的假设非常重要。通过比较三个国家的能源组合变化,可以看出,与传统车辆相比,以煤炭为主的能源组合充电的电动汽车在每个影响类别中的排放量都更高(GWP:264,73 g CO_2-Eq / km)。主要基于可再生能源的能源组合可显着降低影响类别的值(例如,GWP降低至54,92 g CO_2-Eq / km)。将来,必须详细分析电动汽车充电策略对能源系统的影响以及LCA结果的含义。通过现场测试数据的统计评估来验证作为评估依据的消耗值。测得的数据包含有关行驶路线,消耗和充电行为的信息。对测试车辆的消耗值进行的分析表明,这些值(通过使用新的欧洲驾驶周期确定)太低了。因此,必须增加LCA结果才能获得实际结果。然而,同样必须研究常规车辆的消耗值以获得可比较的结果。根据实际驾驶模型对德国(亚琛)一个地区进行的详细分析量化了局部排放,例如颗粒物,CO和NOx。考虑到电动汽车的高集成度,这些排放会影响某些地区(尤其是市中心)的生活质量。因此,使用多智能体系统模拟整个区域的交通,自动确定目的地和每个智能体的行驶路线。这种方法可以将排放物分配给各个街道,这表明即使电动汽车产生局部排放,电动汽车的高普及率仍会改善市中心的状况,因此不能称为“零排放汽车”。

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