首页> 外文会议>ASME Internal Combustion Engine Division Technical Conference >DIRECT SIMULTANEOUS MEASUREMENT OF PARTICULATE MATTER AND AMMONIA STORAGE ON COMBINED SELECTIVE CATALYTIC REDUCTION FILTER SYSTEMS USING RADIO FREQUENCY SENSORS
【24h】

DIRECT SIMULTANEOUS MEASUREMENT OF PARTICULATE MATTER AND AMMONIA STORAGE ON COMBINED SELECTIVE CATALYTIC REDUCTION FILTER SYSTEMS USING RADIO FREQUENCY SENSORS

机译:使用射频传感器直接同时测量颗粒物质和氨储存的组合选择性催化还原过滤系统

获取原文

摘要

Tightening global emissions regulations are motivating interest in the development and implementation of Selective Catalytic Reduction + Filtration (SCRF) systems, which are designed to reduce the concentration of tailpipe particulate matter (PM) and NO_x emissions. These systems allow designers to combine the NO_x reduction capability of an SCR with the filtration capability of a particulate filter on a single unit. Practical implementation of these systems requires reliable measurement and diagnosis of their state - both with respect to trapped particulate matter as well as adsorbed ammonia. Currently, these systems rely on a variety of gas sensors, mounted upstream or downstream of the system, that only provide an indirect inference of the operation state. In this study, a single radio frequency (RF) sensor was used to perform simultaneous measurements of soot loading and ammonia inventory on an SCRF. Several SCRF core samples were tested at varying soot and ash loads in a catalyst reactor bench. Soot levels were measured by monitoring changes in the bulk dielectric properties within the catalyst using the sensor, while ammonia levels were determined by feeding selected regions of the RF spectrum into a pretrained generalized regression neural network model. Results show the RF sensor is able to directly measure the instantaneous ammonia inventory, while simultaneously providing soot loading measurements within 0.5 g/L. These results confirm that simultaneous measurements of both the PM and ammonia loading state of an SCRF are possible using a single RF sensor via analysis of specific features in the full RF spectrum. The results indicate significant potential to remove the control barriers typically associated with the implementation of advanced SCRF systems.
机译:收紧全球排放法规是激励对选择性催化还原+过滤(SCRF)系统的开发和实施的兴趣,该系统旨在降低尾气颗粒物质(PM)和NO_X排放的浓度。这些系统允许设计人员将SCR的NO_X降低能力与单个单元上的微粒过滤器的过滤能力组合。这些系统的实际实施需要对其状态的可靠测量和诊断 - 既相对于被困的颗粒物也是吸附的氨。目前,这些系统依赖于各种气体传感器,安装在系统上游或下游,仅提供操作状态的间接推断。在该研究中,单个射频(RF)传感器用于在SCRF上同时测量烟灰载荷和氨清单。在催化剂反应器长凳上的不同烟灰和灰分中测试了几种SCRF核心样本。通过使用传感器监测催化剂内的批量电介质性质的变化来测量烟灰水平,而通过将RF光谱的选定区域送入预纯的广义回归神经网络模型来确定氨水量。结果表明,RF传感器能够直接测量瞬时氨库存,同时在0.5g / L内提供烟灰加载测量。这些结果证实,通过分析完整RF光谱中的特定特征,可以使用单个RF传感器同时测量SCRF的PM和氨加载状态。结果表明,除去通常与先进SCRF系统的实现相关联的控制障碍的显着潜力。

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