首页> 外文会议>SAE World Congress Experience >Improvement in Selective Catalytic Reduction Model Accuracy for Predicting NO_x Conversion at High Temperature
【24h】

Improvement in Selective Catalytic Reduction Model Accuracy for Predicting NO_x Conversion at High Temperature

机译:用于在高温下预测NO_X转化的选择性催化还原模型精度的改进

获取原文

摘要

As a result of WNTE regulations and the introduction of close-coupled aftertreatment systems, exhaust purification at high temperatures in commercial vehicles has become increasingly important in recent years. In this report, we improve the prediction accuracy for NO_x conversion at high temperatures in the kinetic model of conventional Cu-selective catalytic reduction (Cu-SCR). Reaction rate analysis indicated that the rate of NH_3 oxidation was extremely low compared to the rate of standard SCR. We found that NO_x concentration-dependent NH_3 oxidations (termed NO_x-assisted NH_3 oxidations) were key to the rate of NH_3 oxidation. The output of the improved Cu-SCR kinetic model was in agreed with experimental results obtained from the synthetic gas bench and engine dynamometer bench. We analyzed the contribution of each reaction to NH_3 consumption during Cu-SCR. Under NH_3 + NO + O_2, standard SCR was dominant at low temperature. At high temperatures, the rate of NO-assisted NH_3 oxidation increased, and this reaction competed with standard SCR. Under NH_3 + NO + NO_2 + O_2, fast SCR, NH_4NO_3 formation, and standard SCR were the dominant reactions at low temperature. With increasing temperature, NO_2-assisted NH_3 oxidation competed with the other reactions, resulting in a decreased NO_x conversion.
机译:由于WNTE规则和近年来,商用车的高温下的排气净化近年来越来越重要。在本报告中,我们提高了常规Cu - 选择性催化还原(Cu-SCR)的高温下NO_X转换的预测准确性。反应速率分析表明,与标准SCR的速率相比,NH_3氧化的速率极低。我们发现NO_X浓度依赖性NH_3氧化(称为NO_X辅助NH_3氧化)是NH_3氧化率的关键。改进的Cu-SCR动力学模型的输出与从合成气台和发动机测力计长凳获得的实验结果一致。我们分析了Cu-SCR期间每种反应对NH_3消耗的贡献。在NH_3 + NO + O_2下,标准SCR在低温下占主导地位。在高温下,无辅助NH_3氧化的速率增加,并且这种反应与标准SCR竞争。在NH_3 + NO + NO_2 + O_2下,快速SCR,NH_4NO_3形成和标准SCR是低温下的主要反应。随着温度的增加,NO_2辅助NH_3氧化与其他反应竞争,导致NO_X转换减少。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号