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首页> 外文期刊>Atmosphere >A NOx Emission Model Incorporating Temperature for Heavy-Duty Diesel Vehicles with Urea-SCR Systems Based on Field Operating Modes
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A NOx Emission Model Incorporating Temperature for Heavy-Duty Diesel Vehicles with Urea-SCR Systems Based on Field Operating Modes

机译:基于现场运行模式的带有Urea-SCR系统的重型柴油车的温度引入NOx排放模型

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The selective catalytic reduction (SCR) is the most commonly used technique for decreasing the emissions of nitrogen oxides (NOx) from heavy-duty diesel vehicles (HDDVs). However, the same injection strategy in the SCR system shows significant variations in NOx emissions even at the same operating mode. This kind of heterogeneity poses challenges to the development of emission inventories and to the assessment of emission reductions. Existing studies indicate that these differences are related to the exhaust temperature. In this study, an emission model is established for different source types of HDDVs based on the real-time data of operating modes. Firstly, the initial NOx emission rates (ERs) model is established using the field vehicle emission data. Secondly, a temperature model of the vehicle exhaust based on the vehicle specific power (VSP) and the heat loss coefficient is established by analyzing the influencing factors of the NOx conversion efficiency. Thirdly, the models of NOx emissions and the urea consumption are developed based on the chemical reaction in the SCR system. Finally, the NOx emissions are compared with the real-world emissions and the estimations by the proposed model and the Motor Vehicle Emission Simulator (MOVES). This indicates that the relative error by the proposed method is 12.5% lower than those calculated by MOVES. The characteristics of NOx emissions under different operating modes are analyzed through the proposed model. The results indicate that the NOx conversion rate of heavy-duty diesel trucks (HDDTs) is 39.2% higher than that of urban diesel transit buses (UDTBs).
机译:选择性催化还原(SCR)是减少重型柴油车辆(HDDV)排放氮氧化物(NOx)的最常用技术。然而,即使在相同的工作模式下,SCR系统中的相同喷射策略也会显示NOx排放量的显着变化。这种异质性对排放清单的发展和减排量的评估提出了挑战。现有研究表明,这些差异与排气温度有关。在这项研究中,基于运行模式的实时数据为不同来源的HDDV建立排放模型。首先,使用野外车辆排放数据建立初始NOx排放率(ERs)模型。其次,通过分析NOx转化效率的影响因素,建立了基于车辆比功率(VSP)和热损失系数的车辆排气温度模型。第三,基于SCR系统中的化学反应,建立了NOx排放和尿素消耗的模型。最后,通过提议的模型和机动车排放模拟器(MOVES)将NOx排放与实际排放量和估算值进行比较。这表明所提出的方法的相对误差比MOVES计算的相对误差低12.5%。通过提出的模型分析了不同运行模式下的NOx排放特征。结果表明,重型柴油卡车(HDDT)的NOx转化率比城市柴油公交车(UDTB)高39.2%。

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