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基于遥感尾气监测的柴油车气态污染物排放因子计算方法研究
引用本文:王孟昊,黄成,任洪娟,王坤,王瑞宁,徐冲,徐为标,韩雷.基于遥感尾气监测的柴油车气态污染物排放因子计算方法研究[J].环境科学学报,2020,40(11):4156-4161.
作者姓名:王孟昊  黄成  任洪娟  王坤  王瑞宁  徐冲  徐为标  韩雷
作者单位:上海工程技术大学,机械与汽车工程学院,上海201620,上海市环境科学研究院,国家环境保护城市大气复合污染成因与防治重点实验室,上海200233,上海工程技术大学,机械与汽车工程学院,上海201620,浙江多普勒环保科技有限公司,宁波315600,上海工程技术大学,机械与汽车工程学院,上海201620,上海工程技术大学,机械与汽车工程学院,上海201620,上海工程技术大学,机械与汽车工程学院,上海201620,上海工程技术大学,机械与汽车工程学院,上海201620
基金项目:国家重点研发计划(No.2017YFC0212106);国家自然科学基金(No.21777101)
摘    要:采用遥感尾气测试系统实测了柴油车在实际道路工况下的CO、HC和NO排放特征,修正了排放因子的计算方法,并与车载排放测试系统(PEMS)实测结果进行了验证,获得了实测车辆的CO、HC和NO排放因子.测试结果显示,在各种遥感监测的工况下柴油车尾气中均含有较高浓度的氧气,未考虑氧气影响的燃烧方程反演获得的各污染物体积浓度计算值与PEMS实测值的偏差较大,且氧气浓度越大,偏差越大.经过氧气修正的燃烧方程反演计算的尾气浓度与PEMS实测值吻合度大幅提升,适用于实际工况下遥感检测车辆尾气的反演计算.修正算法得到CO、HC和NO的排放因子离散性较小,精确度较高,可以为量化柴油车尾气排放贡献提供科学依据.

关 键 词:柴油车排放  遥感尾气测试  排放因子  燃烧方程
收稿时间:2020/3/24 0:00:00
修稿时间:2020/5/25 0:00:00

Determination of gaseous pollutant emission factors from diesel vehicles based on remote sensing exhaust gas monitoring
WANG Menghao,HUANG Cheng,REN Hongjuan,WANG Kun,WANG Ruining,XU Chong,XU Weibiao,HAN Lei.Determination of gaseous pollutant emission factors from diesel vehicles based on remote sensing exhaust gas monitoring[J].Acta Scientiae Circumstantiae,2020,40(11):4156-4161.
Authors:WANG Menghao  HUANG Cheng  REN Hongjuan  WANG Kun  WANG Ruining  XU Chong  XU Weibiao  HAN Lei
Institution:Automotive Engineering College, Shanghai University of Engineering Science, Shanghai 201620;State Environment Protection Key Laboratory of Formation and Prevention of the Urban Air Complex, Shanghai Academy of Environmental Sciences, Shanghai 200233;Zhejiang Doppler Environmental Protection Technology Co., Ltd, Ningbo 315600
Abstract:We applied a remote sensing exhaust gas test system to measure the CO, HC, and NO emissions from diesel vehicles in real-world conditions, and then modified the calculation method to determine the emission factors. A Portable Emission Measurement System (PEMS) was used to validate the emission factors after correction. The results show that the exhaust gas from diesel vehicles under different driving conditions contains high concentrations of oxygen. The inverted concentration of each pollutant in the exhaust by a combustion equation inversion model without oxygen concentration has large deviation with the PEMS result. The deviation is larger when oxygen concentration is higher. After corrected by oxygen, the consistency of inverted concentration in the exhaust with PEMS result is greatly improved. The corrected emission factors have less dispersion and higher accuracy, which can provide an important support for quantifying the contribution of diesel vehicle emissions.
Keywords:diesel vehicle emissions  remote sensing exhaust gas test  emission factor  combustion equation
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