重庆市轻型车尾气排放的污染特征及防治对策

采用怠速法对重庆市主城区的600辆轻型车进行检测,对不同品牌、不同车龄的轻型车尾气排放的HC、CO浓度和超标率进行统计分析.结果表明,车龄越长的轻型车,其HC、CO浓度相对越高,超标率随着车龄的延长而相对提高.通过对车龄和HC、CO、超标率的相关性分析表明,车龄与HC、CO、超标率均呈极显著的线性正相关.统计结果表明,随着车龄的延长,重庆市轻型车的劣化趋势明显,应加强对车辆的维护和保养,降低污染物排放.     

低温环境中乙醇汽油和普通汽油的冷凝水与污染物排放

对低温环境中乙醇汽油和普通汽油的冷凝水、CO、HC、NOx和CO2排放特性进行了研究,并对5种排放物的形成机理和排放趋势进行了分析。ECE工况(-20、-10和0℃)和怠速工况(-30、-20、-10和0℃)下,乙醇汽油和普通汽油的冷凝水排放量主要受含氢量、车辆构造和外界环境的共同影响。ECE工况中冷凝水的总体排放趋势是随着温度降低而增加,乙醇汽油的总排水量持平或略低于普通汽油。-10℃时乙醇汽油的高含氧量能促进燃烧速度和燃烧效率,减少CO和HC排放,增加NOx排放;0℃时低温环境和乙醇的高汽化潜热会影响可燃混合气形成和燃烧速度,降低缸壁温度,增加CO和HC排放。     

基于COPERT 4模型的杭州市机动车排气污染特征研究

以2015年为基准年,利用COPERT 4模型计算了杭州市分车型分排放标准下的机动车排气污染物(CO、碳氢化合物(HC)、NO_x、PM_(2.5))的排放因子,并估算了各污染物排放量及分车型分排放标准下的各污染物分担率。结果表明,随着排放标准的提升,机动车排气污染物排放因子总体呈现下降的趋势。汽油车的CO和HC排放因子高于柴油车,而柴油车的NO_x和PM_(2.5)排放因子高于汽油车;天然气车的各污染物排放因子基本接近汽油车,而汽油电混动车的各污染物排放因子则明显低于其他动力车;各污染物排放因子随车型的增大(重)而增大。2015年杭州市机动车排气污染物CO、NO_x、HC和PM_(2.5)排放量分别为48 923.0、44 713.7、7 014.7、837.9t,其中汽油车CO和HC分担率较高主要是因为小型汽油客车CO和HC分担率高,并且其保有量占比也高,应重点控制小型汽油客车的保有量;柴油车NOx和PM_(2.5)分担率较高主要是因为重型柴油货车NO_x和PM_(2.5)分担率高,但其保有量占比不高,应重点控制重型柴油货车的排放因子。     

纳米氧化铈对汽油发动机尾气污染物排放的影响

通过非水微乳液法制备了纳米氧化铈,并将之添加到90^#汽油中,研究了纳米氧化铈对汽油动力性能、尾气污染物CO、HC、PM、NOx排放的影响。结果表明：非水微乳液法制备的纳米氧化铈粒径在30～50nm之间,粒径分布较窄;添加浓度为100mg／L时,不会对汽油的动力性能产生明显影响,但可以明显降低90。汽油尾气中的CO、HC、PM、NOx排放。其中,800r／min的正常怠速下可以降低CO排放19．39％、HE排放19．92％、NOx排放51．19％、PM排放25％;在2000r／min的高怠速下可降低CO排放16．17％、NOx排放46．92％、PM排放16．67％。     

北京市机动车排放遥感监测分析

机动车排放遥感监测反映实际道路行驶中的排放状况,对全面分析排放水平有很强的统计意义。北京市机动车排放遥感监测的CO、HC和NOx的平均浓度分别为1.94%、388×10-6和700×10-6。北京市机动车排放的CO、HC和NOx中50%分别来自于15.90%、13.98%、11.13%的高排放车,但某车辆对于一种污染物出现高排放并不意味着它对其他污染物也是高排放。根据遥感监测得到北京市轻型汽油车基于油耗的CO、HC和NOx平均尾气管排放因子分别为200.1g/L、11.05 g/L和6.68 g/L。     

乙醇汽油对减少机动车污染排放的机理研究与分析

以93#国Ⅲ乙醇汽油(E10)、93#国Ⅲ普通汽油和93#国Ⅳ普通汽油为实验对象,对GB18352.3-2005中要求限定的CO、HC和NOx,以及颗粒物(PM)和CO2等主要污染物的排放进行了测量和对比研究,并对CO、HC、PM、NOx、CO2和苯系物等污染物的形成原因和减排机理进行了分析.和93#国Ⅲ普通汽油相比,93 #国Ⅲ乙醇汽油(E10)排放的尾气中:CO降低了19.7％,HC降低了16.4％;和93#国Ⅳ普通汽油相比,93#国Ⅲ乙醇汽油(E10)排放的尾气中:CO降低了1.8％,HC降低了12.9％,CO2降低了2.4％.研究表明,乙醇汽油在减少CO、HC、NOx、颗粒物和苯系物等有毒物质排放方面具有显著功效,使用乙醇汽油可以减少环境污染物的排放,显著改善空气质量.     

混合动力轿车城市典型道路排放特性

基于车载式排放测试系统(PEMS),对混合动力轿车进行典型城市道路行驶工况下的排放测试,对比分析实验车辆速度、加速度和比功率区间下的排放特性。混合动力轿车在车速低于50 km/h时,发动机处于关闭状态无排放,温度也下降,会降低NOx排放。主干道上NOx排放最少,快速路上NOx排放较高,高速公路上NOx排放最多。车速超过50km/h时发动机再起动,产生CO和HC排放峰值。主干道上CO和HC排放峰值最频繁,总平均排放因子最高;快速路上排放峰值稀少,总平均排放因子居中;高速公路上没有很大的排放峰值,总平均排放因子最低。     

液化石油气轿车实际道路污染物排放特征

利用PEMS对国2技术LPG出租轿车和汽油轿车的实际道路排放进行测试,基于测试数据对LPG轿车排放特征进行解析,并与汽油轿车的排放因子进行对比分析.结果显示:速度和行驶模式对LPG轿车污染物排放影响明显;LPG轿车CO 2、CO、HC和NOx污染物的实测排放因子分别为(169.5±22.2)、(2.18±2.38)、(...     

不同类型机动车尾气中芳香烃化合物含量分析

首次对北京市9种车辆、5种燃料在不同工况下排放芳香烃化合物的特征．进行了定量研究。结果表明,车型、燃料、净化器及工况等因素对排放量产生影响,电喷车比化油器车芳香烃化合物排放量低;汽油车排放量最高,柴油车其次,LPG及CNG车排放量最低;使用净化器可以降低芳香烃排放量;不同工况对排放量的影响随车型,燃料类型的不同而不同。     

基于实际道路测试的大型客车排放特征研究

应用车载排放测试系统(PEMS)对天津市4辆大型客车(国Ⅲ、国Ⅳ、国Ⅴ柴油车和国Ⅴ液化天然气车)进行了实际道路尾气排放测试。结果表明,3辆柴油车CO、NOx、总碳氢化合物(THC)和颗粒物(PM)的平均排放因子分别为3.435、6.431、0.131、0.324g/km,天然气车CO、NOx、THC和PM的排放因子分别为1.240、17.451、6.535、0.003g/km。总体看来,3辆柴油车的污染物排放速率随着排放标准的提高而降低,与其相比,天然气车的CO和PM排放速率相对较低,而NOx和THC排放速率较高;4辆大型客车各污染物排放速率在加速工况下排放速率最高,怠速工况下排放速率最低。随着国Ⅳ柴油车行驶速度从0~20km/h提高到80~100km/h,尾气温度逐渐上升,选择性催化还原装置对NOx的削减率可从41.8%升高到64.5%。     

在用汽油车简易测试工况排放特性研究

通过实验方法对在用汽油车在稳态ASM测试工况、IG195瞬态测试工况下的排放特性进行了研究,并与双怠速、怠速测试工况下的排放测试结果进行了比较。分析了车龄与排放的关系、发动机燃油供给方式与排放及与排放测试方法的关系,研究了排放因子与车龄的关系。     

Emissions profile from new and in-use handheld, 2-stroke engines

The objective of this study was to characterize exhaust emissions from a series of handheld, 2-stroke small engines. A total of 23 new and used engines from model years 1981–2003 were studied; these engines spanned three phases of emission control (pre-control, phase-1, phase-2). Measured emissions included carbon monoxide (CO), carbon dioxide (CO₂), nitrogen oxides (NO_x), hydrocarbons (HC), fine particulate matter (PM_2.5), and sulfur dioxide (SO₂). Emissions reductions in CO (78%) and HC (52%) were significant between pre-control and phase-2 engines. These reductions can be attributed to improvements in engine design, reduced scavenging losses, and implementation of catalytic exhaust control. Total hydrocarbon emissions were strongly correlated with fuel consumption rates, indicating varying degrees of scavenging losses during the intake/exhaust stroke. The use of a reformulated gasoline containing 10% ethanol resulted in a 15% decrease in HC and a 29% decrease in CO emissions, on average. Increasing oil content of 2-stroke engine fuels results in a substantial increase of PM_2.5 emissions as well as smaller increases in HC and CO emissions. Results from this study enhance existing emission inventories and appear to validate predicted improvements to ambient air quality through implementation of new phase-2 handheld emission standards.     

用空气加热器减少轻型汽油车低温冷启动时HC、CO 排放量的研究

按照《轻型汽车污染物排放限值及测量方法(中国Ⅲ、Ⅳ阶段)》(GB 18352.3-2005)的测试规范,在一辆轻型汽油车上使用空气加热器进行发动机进气预热,并测定了车辆低温冷启动时的HC、CO排放量.结果表明,发动机启动后24 s左右,HC的瞬态排放量达到最大值,HC的排放主要集中在启动后的前150 s左右;发动机启动...     

The influence of air–fuel ratio on engine performance and pollutant emission of an SI engine using ethanol–gasoline-blended fuels

Ethanol–gasoline-blended fuel was tested in a conventional engine under various air–fuel equivalence ratios (λ) for its performance and emissions. The amount of fuel injection was adjusted manually by an open-loop control system using a CONSULT controller. It was found that without changing throttle opening and injection strategy, λ could be extended to a leaner condition as ethanol content increased. The results of engine performance tests showed that torque output would increase slightly at small throttle valve opening when ethanol–gasoline-blended fuel was used. It was also shown that CO and HC emissions were reduced with the increase of ethanol content in the blended fuel, which resulted from oxygen enrichment. At an air–fuel equivalence ratio slightly larger than one, the smallest amounts of CO and HC and the largest amounts of CO₂ resulted. It was noted that under the lean combustion condition, CO₂ emission was controlled by air–fuel equivalence ratio; while under the rich combustion condition, CO₂ emission is offset by CO emission. It was also found that CO₂ emission per unit horse power output for blended fuel was similar or less than that for gasoline fuel. From the experimental data, the optimal ethanol content in the gasoline and air–fuel equivalence ratio in terms of engine performance and air pollution was found.     

Effects of Fuel Type,Driving Cycle,and Emission Status on In-Use Vehicle Exhaust Reactivity

ABSTRACT

The introduction of reformulated gasolines significantly reduced exhaust hydrocarbon (HC) mass emissions, but few data are available concerning how these new fuels affect exhaust reactivity. Similarly, while it is well established that high-emitting vehicles contribute a significant portion of total mobile source HC mass emissions, it is also important to evaluate the exhaust reactivity from these vehicles. The objective of this study was to evaluate the relative influence on in-use vehicle exhaust reactivity of three critical factors: fuel, driving cycle, and vehicle emission status. Nineteen in-use vehicles were tested with seven randomly assigned fuel types and two driving cycles: the Federal Test Procedure (FTP) and the Unified Cycle (UC). Total exhaust reactivity was not statistically different between the FTP and UC cycles but was significantly affected by fuel type. On average, the exhaust reactivity for California Phase 2 fuel was the lowest (16 % below the highest fuel type) among the seven fuels tested for cold start emissions. The average exhaust reactivity for high-emitting vehicles was significantly higher for hot stabilized (11%) and hot start (15%) emissions than for low-emitting vehicles. The exhaust reactivities for the FTP and UC cycles for light-end HCs and carbonyls were significantly different for the hot stabilized mode. There was a significant fuel effect on the mean specific reactivity (SR) for the mid-range HCs, but not for light-end HCs or carbonyls, while vehicle emission status affected the mean SR for all three HC compound classes.     

Emission Characteristics of Mexico City Vehicles

The University of Denver remote sensor for automobile exhaust was set up for nine days at five locations in the Mexico City area. A total of 31,838 valid readings for CO and HC emissions were obtained. The emissions distribution was unlike any other we have observed in North America or Europe, in that the emissions for both CO and HC were vastly greater than seen elsewhere. The readings are discussed in terms of the fraction of CO and HC which would be measured by a tailpipe probe, and in terms of grams emitted per gallon of gasoline. The median CO emission was 3.8 percent, with half of the CO emissions coming from the 24 percent of the fleet with over 6.6 percent CO in the exhaust. The median HC emission was 1,100 parts per million measured as propane equivalent, while half the emissions come from twelve percent of the fleet with more than 4,000 ppm propane equivalent in the exhaust.     

Real-world fuel use and gaseous emission rates for flex fuel vehicles operated on E85 versus gasoline

Flex fuel vehicles (FFVs) typically operate on gasoline or E85, an 85%/15% volume blend of ethanol and gasoline. Differences in FFV fuel use and tailpipe emission rates are quantified for E85 versus gasoline based on real-world measurements of five FFVs with a portable emissions measurement system (PEMS), supplemented chassis dynamometer data, and estimates from the Motor Vehicle Emission Simulator (MOVES) model. Because of inter-vehicle variability, an individual FFV may have higher nitrogen oxide (NO_x) or carbon monoxide (CO) emission rates on E85 versus gasoline, even though average rates are lower. Based on PEMS data, the comparison of tailpipe emission rates for E85 versus gasoline is sensitive to vehicle-specific power (VSP). For example, although CO emission rates are lower for all VSP modes, they are proportionally lowest at higher VSP. Driving cycles with high power demand are more advantageous with respect to CO emissions, but less advantageous for NO_x. Chassis dynamometer data are available for 121 FFVs at 50,000 useful life miles. Based on the dynamometer data, the average difference in tailpipe emissions for E85 versus gasoline is ?23% for NO_x, ?30% for CO, and no significant difference for hydrocarbons (HC). To account for both the fuel cycle and tailpipe emissions from the vehicle, a life cycle inventory was conducted. Although tailpipe NO_x emissions are lower for E85 versus gasoline for FFVs and thus benefit areas where the vehicles operate, the life cycle NO_x emissions are higher because the NO_x emissions generated during fuel production are higher. The fuel production emissions take place typically in rural areas. Although there are not significant differences in the total HC emissions, there are differences in HC speciation. The net effect of lower tailpipe NO_x emissions and differences in HC speciation on ozone formation should be further evaluated.

Implications: Reported comparisons of flex fuel vehicle (FFV) tailpipe emission rates for E85 versus gasoline have been inconsistent. To date, this is the most comprehensive evaluation of available and new data. The large range of inter-vehicle variability illustrates why prior studies based on small sample sizes led to apparently contradictory findings. E85 leads to significant reductions in tailpipe nitrogen oxide (NO_x) and carbon monoxide (CO) emission rates compared with gasoline, indicating a potential benefit for ozone air quality management in NO_x-limited areas. The comparison of FFV tailpipe emissions between E85 and gasoline is sensitive to power demand and driving cycles.     

A Fuel-Based Motor Vehicle Emission Inventory

Abstract

A fuel-based methodology for calculating motor vehicle emission inventories is presented. In the fuel-based method, emission factors are normalized to fuel consumption and expressed as grams of pollutant emitted per gallon of gasoline burned. Fleet-average emission factors are calculated from the measured on-road emissions of a large, random sample of vehicles. Gasoline use is known at the state level from sales tax data, and may be disaggregated to individual air basins. A fuel-based motor vehicle CO inventory was calculated for the South Coast Air Basin in California for summer 1991. Emission factors were calculated from remote sensing measurements of more than 70,000 in-use vehicles. Stabilized exhaust emissions of CO were estimated to be 4400 tons/day for cars and 1500 tons/day for light-duty and medium- duty trucks, with an estimated uncertainty of ±20% for cars and ±30% for trucks. Total motor vehicle CO emissions, including incremental start emissions and emissions from heavy-duty vehicles were estimated to be 7900 tons/day. Fuelbased inventory estimates were greater than those of California's MVEI 7F model by factors of 2.2 for cars and 2.6 for trucks. A draft version of California's MVEI 7G model, which includes increased contributions from high-emitting vehicles and off-cycle emissions, predicted CO emissions which closely matched the fuel-based inventory. An analysis of CO mass emissions as a function of vehicle age revealed that cars and trucks which were ten or more years old were responsible for 58% of stabilized exhaust CO emissions from all cars and trucks.     

Idle emissions from heavy-duty diesel and natural gas vehicles at high altitude

Idle emissions of total hydrocarbon (THC), CO, NOx, and particulate matter (PM) were measured from 24 heavy-duty diesel-fueled (12 trucks and 12 buses) and 4 heavy-duty compressed natural gas (CNG)-fueled vehicles. The volatile organic fraction (VOF) of PM and aldehyde emissions were also measured for many of the diesel vehicles. Experiments were conducted at 1609 m above sea level using a full exhaust flow dilution tunnel method identical to that used for heavy-duty engine Federal Test Procedure (FTP) testing. Diesel trucks averaged 0.170 g/min THC, 1.183 g/min CO, 1.416 g/min NOx, and 0.030 g/min PM. Diesel buses averaged 0.137 g/min THC, 1.326 g/min CO, 2.015 g/min NOx, and 0.048 g/min PM. Results are compared to idle emission factors from the MOBILE5 and PART5 inventory models. The models significantly (45-75%) overestimate emissions of THC and CO in comparison with results measured from the fleet of vehicles examined in this study. Measured NOx emissions were significantly higher (30-100%) than model predictions. For the pre-1999 (pre-consent decree) truck engines examined in this study, idle NOx emissions increased with model year with a linear fit (r2 = 0.6). PART5 nationwide fleet average emissions are within 1 order of magnitude of emissions for the group of vehicles tested in this study. Aldehyde emissions for bus idling averaged 6 mg/min. The VOF averaged 19% of total PM for buses and 49% for trucks. CNG vehicle idle emissions averaged 1.435 g/min for THC, 1.119 g/min for CO, 0.267 g/min for NOx, and 0.003 g/min for PM. The g/min PM emissions are only a small fraction of g/min PM emissions during vehicle driving. However, idle emissions of NOx, CO, and THC are significant in comparison with driving emissions.