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从空气污染控制的角度评估北京乘用车领域的车辆构成。

Vehicle mix evaluation in Beijing's passenger-car sector: From air pollution control perspective.

机构信息

Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China.

School of Economics and Management, Harbin Institute of Technology, Shenzhen, 518055, China; Department of Urban Planning, Luskin School of Public Affairs, University of California Los Angeles, Los Angeles, CA 90095, USA.

出版信息

Sci Total Environ. 2021 Sep 1;785:147264. doi: 10.1016/j.scitotenv.2021.147264. Epub 2021 Apr 24.

Abstract

The transport sector has been one of the largest source of carbon emission and urban air pollutants. The research on the coordinated development of pollutant and carbon emission reduction in transport industry is helpful to the realization of urban pollutant prevention and carbon emission reduction, especially in big cities. Thus, a multi-period bottom-up vehicle development mathematical model is proposed to analyze the technology development path, emission path and energy structure adjustment path, and the synergistic benefits of carbon dioxide (CO) emission reduction under a expected air pollution emission standard. Four pollutants, carbon monoxide (CO), hydrocarbons (HC), nitrogen oxides (NO), and particulate matter (PM), generated from the vehicle are considered in this model. Then, the proposed model is used to analyze the related vehicle structure and energy consumption under the expected emission standards for Beijing during 2020 and 2035. The technology development path, emission path and energy structure adjustment path are examined, and the synergistic benefits of CO emission reduction are also studied. Some important implication are found as follows: (1) Even with the goal of environmental pollution control only, new energy vehicles will have an explosive growth period, starting from about 2025. (2) Strict air pollution emission policies do not always lead to the rapid development of new energy vehicles before 2025. (3) The four main pollutants show different levels of synergistic effect among which CO on HC and NO on PM are obvious, respectively. (4) Even under the control of the air pollution policy, the synergistic effect to CO emission reduction is also obvious. Compared to the baseline case, the reduction benefit from the MILD and STRICT environmental policies are 30 and 70 million yuan, respectively.

摘要

交通运输部门一直是碳排放和城市空气污染物的最大来源之一。研究交通运输业污染物与碳排放协同减排,有助于实现城市污染减排和碳减排目标,尤其是在大城市。因此,本文提出了一种多时段基于活动的车辆发展数学模型,以分析技术发展路径、排放路径和能源结构调整路径,以及在预期空气污染排放标准下二氧化碳(CO)减排的协同效益。该模型考虑了车辆产生的四种污染物:一氧化碳(CO)、碳氢化合物(HC)、氮氧化物(NO)和颗粒物(PM)。然后,利用所提出的模型分析了 2020 年和 2035 年北京预期排放标准下相关车辆结构和能源消耗。检验了技术发展路径、排放路径和能源结构调整路径,并研究了 CO 减排的协同效益。研究发现了一些重要的启示:(1)即使仅以控制环境污染为目标,新能源汽车也将从 2025 年左右开始进入爆发式增长阶段。(2)严格的空气污染排放政策并不总是会导致 2025 年之前新能源汽车的快速发展。(3)四种主要污染物之间存在不同程度的协同效应,其中 CO 对 HC 和 NO 对 PM 的协同效应较为明显。(4)即使在空气污染政策的控制下,CO 减排的协同效应也很明显。与基准案例相比,MILD 和 STRICT 环境政策的减排效益分别为 3000 万元和 7000 万元。

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