LAPSE:2024.1874
Published Article

LAPSE:2024.1874
Optimization Analysis of Various Parameters Based on Response Surface Methodology for Enhancing NOx Catalytic Reduction Performance of Urea Selective Catalytic Reduction on Cu-ZSM-13 Catalyst
August 23, 2024
Abstract
While selective catalytic reduction (SCR) has long been indispensable for nitrogen oxide (NOx) removal, optimizing its performance remains a significant challenge. This study investigates the combined effects of structural and intake parameters on SCR performance, an aspect often overlooked in previous research. This paper innovatively developed a three-dimensional SCR channel model and employed response surface methodology to conduct an in-depth analysis of multiple key factors. This multidimensional, multi-method approach enables a more comprehensive understanding of SCR system mechanics. Through target optimization, we achieved a simultaneous improvement in three critical indicators: the NOx conversion rate, pressure drop, and ammonia slip. It is worth noting that the NOx conversion rate has been optimized from 17.07% to 98.25%, the pressure drop has been increased from 3454.62 Pa to 2558.74 Pa, and the NH3 slip has been transformed from 122.26 ppm to 17.49 ppm. These results not only advance the theoretical understanding of SCR technology but also provide valuable design insights for practical applications. Our findings pave the way for the development of more efficient and environmentally friendly SCR systems, potentially revolutionizing NOx control in various industries.
While selective catalytic reduction (SCR) has long been indispensable for nitrogen oxide (NOx) removal, optimizing its performance remains a significant challenge. This study investigates the combined effects of structural and intake parameters on SCR performance, an aspect often overlooked in previous research. This paper innovatively developed a three-dimensional SCR channel model and employed response surface methodology to conduct an in-depth analysis of multiple key factors. This multidimensional, multi-method approach enables a more comprehensive understanding of SCR system mechanics. Through target optimization, we achieved a simultaneous improvement in three critical indicators: the NOx conversion rate, pressure drop, and ammonia slip. It is worth noting that the NOx conversion rate has been optimized from 17.07% to 98.25%, the pressure drop has been increased from 3454.62 Pa to 2558.74 Pa, and the NH3 slip has been transformed from 122.26 ppm to 17.49 ppm. These results not only advance the theoretical understanding of SCR technology but also provide valuable design insights for practical applications. Our findings pave the way for the development of more efficient and environmentally friendly SCR systems, potentially revolutionizing NOx control in various industries.
Record ID
Keywords
ammonia storage characteristics, diesel engine, NOx conversion efficiency, SCR system
Subject
Suggested Citation
Li W, Wu J, Yao D, Wu F, Wang L, Lou H, He H, Hu J. Optimization Analysis of Various Parameters Based on Response Surface Methodology for Enhancing NOx Catalytic Reduction Performance of Urea Selective Catalytic Reduction on Cu-ZSM-13 Catalyst. (2024). LAPSE:2024.1874
Author Affiliations
Li W: Ningbo C.S.I. Power & Machinery Group Co., Ltd., Ningbo 315020, China; College of Energy Engineering, Zhejiang University, Hangzhou 310027, China
Wu J: Ningbo C.S.I. Power & Machinery Group Co., Ltd., Ningbo 315020, China
Yao D: College of Energy Engineering, Zhejiang University, Hangzhou 310027, China [ORCID]
Wu F: College of Energy Engineering, Zhejiang University, Hangzhou 310027, China
Wang L: Ningbo C.S.I. Power & Machinery Group Co., Ltd., Ningbo 315020, China
Lou H: Ningbo C.S.I. Power & Machinery Group Co., Ltd., Ningbo 315020, China
He H: Ningbo C.S.I. Power & Machinery Group Co., Ltd., Ningbo 315020, China [ORCID]
Hu J: School of Mechanical and Automotive Engineering, Guangxi University of Science and Technology, Liuzhou 545000, China [ORCID]
Wu J: Ningbo C.S.I. Power & Machinery Group Co., Ltd., Ningbo 315020, China
Yao D: College of Energy Engineering, Zhejiang University, Hangzhou 310027, China [ORCID]
Wu F: College of Energy Engineering, Zhejiang University, Hangzhou 310027, China
Wang L: Ningbo C.S.I. Power & Machinery Group Co., Ltd., Ningbo 315020, China
Lou H: Ningbo C.S.I. Power & Machinery Group Co., Ltd., Ningbo 315020, China
He H: Ningbo C.S.I. Power & Machinery Group Co., Ltd., Ningbo 315020, China [ORCID]
Hu J: School of Mechanical and Automotive Engineering, Guangxi University of Science and Technology, Liuzhou 545000, China [ORCID]
Journal Name
Processes
Volume
12
Issue
7
First Page
1519
Year
2024
Publication Date
2024-07-19
ISSN
2227-9717
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Original Submission
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PII: pr12071519, Publication Type: Journal Article
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LAPSE:2024.1874
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https://doi.org/10.3390/pr12071519
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[v1] (Original Submission)
Aug 23, 2024
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Aug 23, 2024
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