Direct Simultaneous Measurement of Particulate Matter and Ammonia Storage on Combined Selective Catalytic Reduction Filter Systems Using Radio Frequency Sensors

P. Ragaller, A. Sappok, Jie Qiao, Xiaojin Liu, J. Aguilar
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引用次数: 1

Abstract

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 NOx emissions. These systems allow designers to combine the NOx 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.
使用射频传感器直接同时测量组合选择性催化还原过滤系统中的颗粒物和氨储存
日益严格的全球排放法规激发了人们对选择性催化还原+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(PM)和氮氧化物排放的浓度。这些系统使设计人员能够将SCR的NOx减少能力与单个单元的颗粒过滤器的过滤能力结合起来。这些系统的实际实施需要对其状态进行可靠的测量和诊断——既包括捕获的颗粒物,也包括吸附的氨。目前,这些系统依赖于安装在系统上游或下游的各种气体传感器,只能提供对运行状态的间接推断。在本研究中,使用单个射频(RF)传感器在SCRF上同时测量烟尘负荷和氨库存。几个SCRF岩心样品在催化剂反应器台架上进行了不同烟灰负荷的测试。通过使用传感器监测催化剂中介电性能的变化来测量烟尘水平,而通过将选定的RF频谱区域输入预训练的广义回归神经网络模型来确定氨水平。结果表明,射频传感器能够直接测量瞬时氨库存,同时提供0.5 g/L范围内的烟尘负荷测量。这些结果证实,通过分析全RF频谱中的特定特征,使用单个RF传感器可以同时测量SCRF的PM和氨负荷状态。研究结果表明,在消除与先进SCRF系统实施相关的控制障碍方面具有巨大的潜力。
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