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首页> 外文期刊>Atmospheric environment >Data-driven analysis of the effectiveness of evaporative emissions control systems of passenger cars in real world use condition: Time and spatial mapping
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Data-driven analysis of the effectiveness of evaporative emissions control systems of passenger cars in real world use condition: Time and spatial mapping

机译:数据驱动的现实使用条件下乘用车蒸发排放控制系统有效性的分析:时间和空间映射

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摘要

This paper assesses the effectiveness of the evaporative emissions control systems of European passenger cars on the basis of real-world activity data. The study relies on two large datasets of driving patterns from conventional fuel vehicles collected by means of on-board GPS systems, consisting of 4.5 million trips and parking events recorded by monitoring 28,000 vehicles over one month. Real world evaporative emissions are estimated using a model that associates a carbon canister desorption event to each trip and a fuel vapour generation event to each parking. The mass of volatile organic compounds released into the air is calculated taking into account the hot-soak, permeation and breathing emission mechanisms. The analysis is based on 36 scenarios, defined by varying the climate conditions, the fuel vapour pressure, the tank material, the tank headspace volume, the purging volume flow rate and the mass of the activated carbon contained in the canister. The results show that in May 4 out of the 18 scenarios considered for Modena and 6 out of the 18 scenarios considered for Firenze lead to evaporative emissions values above the current type approval limit (i.e. 2 [g/day] per vehicle). In July, these numbers increase to 10 out of the 18 scenarios for Modena and to 12 out of the 18 scenarios for Firenze. Looking at the fleet distribution a share of approximately 20% of the fleet is characterised by evaporative emissions higher than the limit in May, increasing to 48% in July, with a peak value of 98%. The emission peak value is estimated to be approximately 4 [g/day] in May and 8 [g/day] in July, while the time-dependent results show emission rates up to nearly 15 [g/s] in Modena and 30 [g/s] in Firenze, with a respective cumulative value in July up to 0.4 and 0.8 tons of VOCs per day. The space-dependent results show a value of the emissions in July of approximately 4-to-8 [kg/km(2)/day] in the city areas. These results confirm previous findings from the authors, highlighting how the evaporative emissions control system currently used in passenger cars might not be effective under real-world use condition, calling for a revision of the type-approval test procedure. (C) 2016 The Authors. Published by Elsevier Ltd.
机译:本文根据实际活动数据评估了欧洲乘用车蒸发排放控制系统的有效性。这项研究依赖于通过车载GPS系统收集的来自传统燃料汽车的两个大型驾驶模式数据集,其中包括450万次旅行和停车事件,这些数据通过在一个月内监控28,000辆汽车而记录下来。使用将碳罐解吸事件与每次行程相关联并将燃料蒸气产生事件与每个停车位相关联的模型来估算现实世界的蒸发排放量。考虑到热浸,渗透和呼吸释放机制,计算了释放到空气中的挥发性有机化合物的质量。该分析基于36种情景,这些情景是通过改变气候条件,燃料蒸汽压力,储罐材料,储罐顶部空间体积,吹扫体积流量以及滤罐中所含活性炭的质量来定义的。结果显示,在5月4日为摩德纳(Modena)考虑的18个方案中,在佛罗伦萨(Firenze)所考虑的18个方案中的6个导致蒸发排放值超过当前的类型批准限制(即,每辆车2 [g / day])。在7月,对于摩德纳(Modena),这些数字增加到18个方案中的10个,对于Firenze,在18个方案中增加到12个。从机队分布来看,大约20%的机队的特点是蒸发排放量高于5月的限制,到7月增加到48%,峰值为98%。排放峰值估计在5月约为4 [g / s],7月约为8 [g / s],随时间变化的结果显示,摩德纳的发射率高达15 [g / s],而30 [ [g / s]在佛罗伦萨,其7月份的累积值分别为每天0.4和0.8吨VOC。与空间有关的结果显示,城市地区7月份的排放量约为4至8 [kg / km(2)/天]。这些结果证实了作者先前的发现,突显了当前用于乘用车的蒸发排放物控制系统在实际使用条件下可能不会有效,因此要求修改型式认可测试程序。 (C)2016作者。由Elsevier Ltd.发布

著录项

  • 来源
    《Atmospheric environment》 |2016年第3期|277-293|共17页
  • 作者单位

    Commiss European Communities, Joint Res Ctr, Directorate Gen, Inst Energy & Transport,Sustainable Transport Uni, Via Enrico Fermi 2749, I-21027 Ispra, Italy;

    Commiss European Communities, Joint Res Ctr, Directorate Gen, Inst Energy & Transport,Sustainable Transport Uni, Via Enrico Fermi 2749, I-21027 Ispra, Italy;

    Commiss European Communities, Joint Res Ctr, Directorate Gen, Inst Energy & Transport,Sustainable Transport Uni, Via Enrico Fermi 2749, I-21027 Ispra, Italy;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Evaporative emissions; Real-world mobility data; Data mining; Geo-referenced emissions;

    机译:蒸发排放;现实世界的移动性数据;数据挖掘;地理参考排放;

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