LAPSE:2023.17256
Published Article
LAPSE:2023.17256
A Steady State Model for Burning Coal Mine Methane in a Reverse Flow Burner
Jinsheng Lv, Junrui Shi, Mingming Mao, Xiangjin Kong, Dan Zhou
March 6, 2023
Abstract
In this study, a steady state model for burning of coal mine methane in a Reverse Flow Burner (RFB) with full kinetics was developed by analogy of a steady counter-flow reactor, and the developed model was used for quick prediction of the lean combustibility limit (LCL). The model was successfully validated with experimental and numerical results, and it was shown that the developed model has excellent accuracy and computational efficiency. Good agreement between the predicted temperature, LCL, and the experiments was observed. The LCL of the equivalence ratio of 0.022 for methane/air mixture was obtained by the developed model. The model was then used to evaluate LCL for the RFB, focusing on the effect of heat loss and burner length on LCL. This indicated that the computational time using the developed model can be reduced by a factor of 1560 compared to the complete transient model.
Keywords
lean combustibility limit, numerical simulation, Reverse Flow Burner, steady state model, thermal oxidation
Suggested Citation
Lv J, Shi J, Mao M, Kong X, Zhou D. A Steady State Model for Burning Coal Mine Methane in a Reverse Flow Burner. (2023). LAPSE:2023.17256
Author Affiliations
Lv J: School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255049, China
Shi J: School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255049, China
Mao M: School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255049, China
Kong X: School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255049, China
Zhou D: School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255049, China
Journal Name
Energies
Volume
14
Issue
23
First Page
7957
Year
2021
Publication Date
2021-11-29
ISSN
1996-1073
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Original Submission
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PII: en14237957, Publication Type: Journal Article
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LAPSE:2023.17256
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https://doi.org/10.3390/en14237957
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