LAPSE:2024.0247
Published Article
LAPSE:2024.0247
Computational Fluid Dynamics Simulation of Combustion and Selective Non-Catalytic Reduction in a 750 t/d Waste Incinerator
Hai Cao, Yan Jin, Xiangnan Song, Ziming Wang, Baoxuan Liu, Yuxin Wu
February 10, 2024
In this study, a Computational Fluid Dynamics (CFD) approach using Ansys Fluent 15.0 and FLIC software was employed to simulate the combustion process of a 750 t/d grate-type waste incinerator. The objective was to assess the performance of Selective Non-Catalytic Reduction (SNCR) technology in reducing nitrogen oxide (NOx) emissions. Two-stage simulations were conducted, predicting waste combustion on the bed and volatile matter combustion in the furnace. The results effectively depicted the temperature and gas concentration distributions on the bed surface, along with the temperature, velocity, and composition distributions in the furnace. Comparison with field data validated the numerical model. The findings serve as a reference for optimizing large-scale incinerator operation and parameter design through CFD simulation.
Keywords
gas-solid two-phase combustion coupling, grate furnace, numerical simulation, SNCR
Suggested Citation
Cao H, Jin Y, Song X, Wang Z, Liu B, Wu Y. Computational Fluid Dynamics Simulation of Combustion and Selective Non-Catalytic Reduction in a 750 t/d Waste Incinerator. (2024). LAPSE:2024.0247
Author Affiliations
Cao H: College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan 030024, China; Key Laboratory for Thermal Science and Power Engineering of Ministry of Education, Department of Energy and Power Engineering, Tsinghua University, Beiji
Jin Y: College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan 030024, China
Song X: CUCDE Enviromental Technology Co., Ltd., Beijing 100120, China
Wang Z: CUCDE Enviromental Technology Co., Ltd., Beijing 100120, China
Liu B: CUCDE Enviromental Technology Co., Ltd., Beijing 100120, China
Wu Y: Key Laboratory for Thermal Science and Power Engineering of Ministry of Education, Department of Energy and Power Engineering, Tsinghua University, Beijing 100084, China
Journal Name
Processes
Volume
11
Issue
9
First Page
2790
Year
2023
Publication Date
2023-09-19
Published Version
ISSN
2227-9717
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Original Submission
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PII: pr11092790, Publication Type: Journal Article
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LAPSE:2024.0247
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doi:10.3390/pr11092790
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Feb 10, 2024
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CC BY 4.0
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[v1] (Original Submission)
Feb 10, 2024
 
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Feb 10, 2024
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Original Submitter
Calvin Tsay
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