Effects of NOX Storage Component on Ammonia Formation in TWC for Passive SCR NOX Control in Lean Gasoline Engines

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Abstract

A prototype three-way catalyst (TWC) with NOX storage component was evaluated for ammonia (NH3) generation on a 2.0-liter BMW lean burn gasoline direct injection engine as a component in a passive ammonia selective catalytic reduction (SCR) system. The passive NH3 SCR system is a potential approach for controlling nitrogen oxides (NOX) emissions from lean burn gasoline engines. In this system, NH3 is generated over a close-coupled TWC during periodic slightly-rich engine operation and subsequently stored on an underfloor SCR catalyst. Upon switching to lean, NOX passes through the TWC and is reduced by the stored NH3 on the SCR catalyst. Adding a NOX storage component to a TWC provides two benefits in the context of a passive SCR system: (1) enabling longer lean operation by storing NOX upstream and preserving NH3 inventory on the downstream SCR catalyst; and (2) increasing the quantity and rate of NH3 production during rich operation. Since the fuel penalty associated with passive SCR NOX control depends on the fraction of time that the engine is running rich rather than lean, both benefits (longer lean times and shorter rich times achieved via improved NH3 production) will decrease the passive SCR fuel penalty. However, these benefits are primarily realized at low to moderate temperatures (300-500 °C), where the NOX storage component is able to store NOX, with little to no benefit at higher temperatures (>500 °C), where NOX storage is no longer effective. This study discusses engine parameters and control strategies affecting the NH3 generation over a TWC with NOX storage component.1

Original languageEnglish
JournalSAE Technical Papers
Volume2018-April
DOIs
StatePublished - 2018
Event2018 SAE World Congress Experience, WCX 2018 - Detroit, United States
Duration: Apr 10 2018Apr 12 2018

Funding

This work was supported by the U.S. Department of Energy (DOE), Vehicle Technologies Program. The authors gratefully acknowledge the support and guidance of program managers Gurpreet Singh, Ken Howden and Leo Breton at DOE. Additionally, the authors wish to thank their colleagues Wei Li, Kushal Narayanaswamy and Lucie Bednarova of General Motors and Ken Price, Chris Owens, Corey Negohosian and Davion Clark of Umicore for valuable discussion and guidance in parts of this work. 1

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