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Performance analysis on a novel self-adaptive sorption system to reduce nitrogen oxides emission of diesel engine

Lookup NU author(s): Dr Long Jiang, Xialin Xie, Professor Tony Roskilly

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).


Abstract

© 2017 Elsevier Ltd A novel self-adaptive sorption system is proposed and analyzed, which is considered as an alternative solution to reduce nitrogen oxides emission. Compared with conventional selective catalytic reduction technology, urea solution tank is replaced with sorption reactor for ammonia storage. Composite sorbents are developed with expanded natural graphite treated with sulfuric acid as the matrix. Different sorption working pairs are selected for evaluating working performance of novel system based on testing nitrogen oxides emission of a diesel engine. It is indicated that for operation mode 8, the highest required mass of urea solution per hour could reach 1.9 kg, which is 2.32 times higher than that of composite ammonium chloride. For different composite sorbents, annual required mass ranges from 143 kg to 246 kg and 81 kg to 140 kg in terms of mode 8 and 6 whereas annual required volume is in the range from 358 L to 615 L and 204 L to 350 L, respectively. Cost of novel sorption system by using composite sorbents is generally lower than that of conventional system by using urea solution. It analyzes the feasibility of novel self-adaptive sorption system, which reveals great potential for reducing nitrogen oxides emission.


Publication metadata

Author(s): Jiang L, Xie XL, Wang LW, Wang RZ, Roskilly AP

Publication type: Article

Publication status: Published

Journal: Applied Thermal Engineering

Year: 2017

Volume: 127

Pages: 1077-1085

Print publication date: 25/12/2017

Online publication date: 30/08/2017

Acceptance date: 26/08/2017

ISSN (print): 1359-4311

ISSN (electronic): 1873-5606

Publisher: Pergamon Press

URL: https://doi.org/10.1016/j.applthermaleng.2017.08.121

DOI: 10.1016/j.applthermaleng.2017.08.121


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