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contributor authorLin, Qinghua
contributor authorChen, Pingen
date accessioned2019-03-17T11:09:49Z
date available2019-03-17T11:09:49Z
date copyright1/7/2019 12:00:00 AM
date issued2019
identifier issn0022-0434
identifier otherds_141_04_041014.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4256757
description abstractAmmonia storage nonuniformity has a significant impact on the emission reduction performance of urea-based selective catalytic reduction (SCR) systems. In this paper, a unique SCR platform with two catalysts in a parallel configuration was created for investigating the impact of ammonia storage nonuniformity on the emission reduction performance in a simulation environment. The established two-cell SCR platform allows users to independently control the ammonia-to-NOx ratio (ANR) for each catalyst using two independent urea solution injectors. Simulation results over US06 cycle demonstrate that, compared to the case without ammonia storage nonuniformity, the tailpipe NOx and ammonia emissions can be increased by 6.73% and 22.0%, respectively, due to the nonuniform ammonia storage in the case of an ANR nonuniformity index (NUI) at 0.2. Furthermore, an innovative model-based method was proposed for estimating the ammonia coverage ratio nonuniformity (i.e., ammonia storage nonuniformity if storage capacity is known) by utilizing a control-oriented SCR model and the tailpipe NOx and ammonia measurements at the confluence point. Simulation results proved the effectiveness of the proposed method in estimating the ammonia coverage ratio nonuniformity.
publisherThe American Society of Mechanical Engineers (ASME)
titleEstimation of Ammonia Storage Nonuniformity for Urea-Based Selective Catalytic Reduction Systems
typeJournal Paper
journal volume141
journal issue4
journal titleJournal of Dynamic Systems, Measurement, and Control
identifier doi10.1115/1.4042143
journal fristpage41014
journal lastpage041014-10
treeJournal of Dynamic Systems, Measurement, and Control:;2019:;volume( 141 ):;issue: 004
contenttypeFulltext


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