RESEARCH ARTICLE
Dynamic Model Parameter Identification and Simulation of SCR Based on Genetic Algorithm§
Ren Hongjuan1, 2, Lou Diming1, *, Zhu Jian2, Luo Yiping2
Article Information
Identifiers and Pagination:
Year: 2015Volume: 9
First Page: 62
Last Page: 66
Publisher ID: TOCENGJ-9-62
DOI: 10.2174/1874123101509010062
Article History:
Received Date: 08/01/2015Revision Received Date: 29/03/2015
Acceptance Date: 07/04/2015
Electronic publication date: 31/7/2015
Collection year: 2015
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Abstract
The Selective Catalytic Reduce (SCR) is studied. The unknown parameters of the SCR kinetic model equations are fitted based on the Genetic Algorithm (GA), which is in the range of the allowable error, compared to the experimental data. Then in AVL Boost software, the simulation results of SCR reaction are obtained. Compared to the test data, the simulation results prove that the parameter identification is effective. At last, the SCR reaction is simulated in AVL Boost, and at the same exhaust temperature, the effect of GHSV and NSR on the SCR reaction is studied.