基于远程监测的北京市柴油车实际道路NOx与CO2排放特征

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摘要采用远程在线监测技术对北京市典型柴油车的实际道路运行参数进行监测,并基于标准PEMS测试设备与远程在线监测同步对比测试,分析远程在线监测技术的数据一致性,研究建立适用于北京市柴油车的微观运行模态划分方法,并基于微观运行模态分析典型柴油车的NO_x和CO₂排放特征.研究结果表明:1)远程在线监测的柴油车NO_x和CO₂排放率与PEMS测试数据的线性拟合R²均高于0.99;2)基于建立的北京市柴油车的微观运行模态划分方法,北京市柴油车的微观运行模态划分结果符合正态分布,实现将车辆微观运行工况进行均匀划分的目的;3)在不同车速范围内,不同类型车辆的NO_x和CO₂排放因子呈现出不同的变化趋势,国六排放车辆的NO_x排放因子普遍低于国五排放,NO_x综合排放因子最高的为国五重型柴油车(7.63±0.57)g/km;随着吨位增加,柴油车CO₂排放因子会呈不同程度的增加且国六重型柴油车CO₂相对较高,主要原因可能是国六车相对复杂的后处理系统增加了燃油的消耗.

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	冯谦
	刘保献
	杨妍妍
	张少君
	沈秀娥
	卢洋
	王蓬睿
	吴烨

关键词 ：重型车, 远程监测, 微观运行模态划分, NO_x排放因子, CO₂排放因子

Abstract：The study adopted remote online monitoring technology to monitor the actual road operating parameters of typical diesel vehicles in Beijing, and conducted synchronous comparative tests with standard PEMS testing equipment to analyze the data consistency of remote online monitoring technology. A micro-operating mode division method applicable to Beijing's diesel vehicles was established based on the analysis, and the NO_x and CO₂ emission characteristics of typical diesel vehicles were analyzed based on micro-operating mode. The study results show that:1) the NO_x and CO₂ emissions rates of diesel vehicles monitored by remote online monitoring and PEMS testing data are both linearly fitted with R² higher than 0.99; 2) the micro-operating mode division of Beijing's diesel vehicles based on the established method conform to normal distribution, achieving the objective of uniformly dividing the vehicle's micro-operating conditions; 3) in different vehicle speed ranges, the NO_x and CO₂ emission factors of different types of vehicles show different trends, and the NO_x emission factor of vehicles with China VI emission standard is generally lower than that of vehicles with China V emission standard. The highest NO_x comprehensive emission factor belongs to China V heavy diesel vehicles, (7.63±0.57)g/km; as the tonnage increases, the CO₂ emission factor of diesel vehicles will increase to varying degrees and the CO₂ emission factor of China VI heavy diesel vehicles is relatively high, possibly due to the relatively complex after-treatment system of China VI vehicles increasing fuel consumption.

Key words： heavy-duty vehicles remote monitoring methods micro-operating mode division NO_x emission factor CO₂ emission factor

收稿日期: 2023-01-15

PACS:

X511

基金资助:科技部课题(2022YFC3703602)；北京市科委课题(Z191100009119014)；国家自然科学基金面上项目(52170111)

通讯作者: 杨妍妍,正高级,yangyanyanstar@163.com E-mail: yangyanyanstar@163.com

作者简介: 冯谦(1986-),男,河北辛集人,高级工程师,博士,主要从事移动源排放监测与控制技术研究.发表论文20余篇.fengqianhg@163.com

引用本文:

冯谦, 刘保献, 杨妍妍, 张少君, 沈秀娥, 卢洋, 王蓬睿, 吴烨. 基于远程监测的北京市柴油车实际道路NO_x与CO₂排放特征[J]. 中国环境科学, 2023, 43(8): 4418-4426. FENG Qian, LIU Bao-xian, YANG Yan-yan, ZHANG Shao-jun, SHEN Xiu-e, LU Yang, WANG Peng-rui, WU Ye. Characteristics of actual road NO_x and CO₂ emissions from diesel vehicles in Beijing based on remote monitoring. CHINA ENVIRONMENTAL SCIENCECE, 2023, 43(8): 4418-4426.

链接本文:

http://www.zghjkx.com.cn/CN/ 或 http://www.zghjkx.com.cn/CN/Y2023/V43/I8/4418

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