Technical Papers
Apr 8, 2020

CFD Simulation and Optimization of Flow-Reverse Catalytic-Combustion Reactor

Publication: Journal of Environmental Engineering
Volume 146, Issue 6

Abstract

This work attempts to optimize the traditional flow-reverse reactor by establishing a three-dimensional model of a toluene catalytic-combustion reactor through computational fluid dynamics (CFD). Four optimized structures are designed: (1) 20-mm grille; (2) 60-mm-long lattice plates; (3) 20-mm-long cross plate and 5-mm-thick cross plate; and (4) 20-mm-long lattice and 20-mm-long and 5-mm-thick cross plate. The velocity field, pressure drop, temperature field, and turbulent energy were calculated. The results show that the area-weighted evenness index of the four structures can reach (1) 0.910; (2) 0.901; (3) 0.909; and (4) 0.920. The results also show that the reactor with a 20-mm grid and 5-mm porous plate had the best optimization effect. Based on the reactor, the maximum resistance coefficient of the optimized flow direction conversion reactor was 0.030, meeting the engineering requirements. The results from the temperature fields show that the reactor with increased flow direction greatly improved the utilization of waste heat. It was also confirmed that the optimization had a certain guiding significance and value for practical application.

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Data Availability Statement

All data, models, and code generated or used during the study appear in the published article.

Acknowledgments

This work was supported by the National Key Research and Development Program of China (2016YFC0204300) and the Beijing Municipal Natural Science Foundation (8162009).

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Published In

Go to Journal of Environmental Engineering
Journal of Environmental Engineering
Volume 146Issue 6June 2020

History

Received: Oct 8, 2019
Accepted: Nov 21, 2019
Published online: Apr 8, 2020
Published in print: Jun 1, 2020
Discussion open until: Sep 8, 2020

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Authors

Affiliations

Wen-Jun Liang [email protected]
Professor and Director, Key Laboratory of Beijing on Regional Air Pollution Control, Beijing Univ. of Technology, Beijing 100124, China (corresponding author). Email: [email protected]; [email protected]
Postgraduate, Key Laboratory of Beijing on Regional Air Pollution Control, Beijing Univ. of Technology, Beijing 100124, China. ORCID: https://orcid.org/0000-0002-6062-4881. Email: [email protected]
Ph.D. Candidate, Key Laboratory of Beijing on Regional Air Pollution Control, Beijing Univ. of Technology, Beijing 100124, China. Email: [email protected]
Qing-Lei Li [email protected]
Postgraduate, Key Laboratory of Beijing on Regional Air Pollution Control, Beijing Univ. of Technology, Beijing 100124, China. Email: [email protected]

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