中国环境科学2024,Vol.44Issue(2) :646-653.

重型柴油车实际道路氮氧化物和碳排放研究

Emissions of nitrogen oxides and carbon dioxide from heavy-duty diesel vehicles based on remote monitoring

葛子豪 尹航 徐龙 杨扬 吉喆 黄英
中国环境科学2024,Vol.44Issue(2) :646-653.

重型柴油车实际道路氮氧化物和碳排放研究

Emissions of nitrogen oxides and carbon dioxide from heavy-duty diesel vehicles based on remote monitoring

葛子豪 1尹航 2徐龙 3杨扬 3吉喆 2黄英1
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作者信息

  • 1. 北京理工大学,北京 100081
  • 2. 中国环境科学研究院,北京 100012
  • 3. 潍柴动力股份有限公司,山东潍坊 261062
  • 折叠

摘要

通过对20辆国五及国六重型柴油车排放远程监控数据分析,分别使用3B-MAW方法、总行程平均法以及功基窗口法对数据进行分析,获取了重型柴油车在实际道路上的NOx和CO2排放特征.数据分析结果表明国六重型柴油车实际道路NO,排放显著低于国五重型柴油车,且二者在中/高负荷工况下的NOx排放相比低负荷时亦有明显降低.但国六重型柴油车的CO2排放却比国五重型柴油车高出10%左右,应引起广泛重视.按窗口功率比大小进行NOx排放分析的3B-MAW方法,既能考虑到重型柴油车道路排放特点,又能兼顾SCR催化剂对NOx排放控制的技术特点,适合用于进行重型柴油车排放远程监控数据评价分析.

Abstract

Heavy-duty vehicles have become one of the major NOx pollution sources in China,as well as a key contributor of motor vehicles'CO2 emissions.Therefore,controlling NOx and CO2 emissions from heavy-duty vehicles is the top priority in energy saving and emission reduction of motor vehicles.This paper investigated the real-road NOx and CO2 emission features of heavy-duty diesel vehicles by analysing the remotely monitored emission data of some typical China-5 and China-6 diesel vehicles.The results show that the real-road NOx emission level of China-6heavy-duty diesel vehicles is significantly lower than that of China-5 counterparts.However,the CO2 emission level is about 10%higher from China-6 heavy-duty vehicles than from China-5 counterparts.The 3B-MAW method for NOx emission analysis based on window power ratios can take into account not only the real-road emission characteristics of heavy-duty diesel vehicles,but also the technical features of SCR catalysts for NOx emission control,and is suitable for the evaluation of remote monitoring data of heavy-duty diesel vehicle emissions.

关键词

重型柴油车/远程排放监控/NOx排放/CO2

Key words

heavy-duty diesel vehicles/remote emission monitoring/NOx emissions/CO2

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基金项目

国家重点研发计划(2022YFC3701802)

国家自然科学基金(52272342)

青海省科技厅重大专项(2019-GX-A6)

出版年

2024
中国环境科学
中国环境科学学会

中国环境科学

CSTPCDCHSSCD北大核心
影响因子:2.174
ISSN:1000-6923
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参考文献量25
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