LAPSE:2023.36135
Published Article

LAPSE:2023.36135
Study on the Skeleton Mechanism of Second-Generation Biofuels Derived from Platform Molecules
July 4, 2023
Abstract
This paper focuses on the combustion mechanism of furan-based fuels synthesized from lignocellulose. The fuel is a binary alternative fuel consisting of 2-methylfuran and 2,5-dimethylfuran derived from furfural. The key reactions affecting the combustion mechanism of this fuel were identified via path analysis, and the initial reaction kinetic mechanism was constructed using a decoupling methodology. Then, a genetic algorithm was used to optimize the initial mechanism. The final skeleton mechanism consisted of 67 species and 228 reactions. By comparing experimental data on ignition delay, component concentration, and laminar flame velocity under a wide range of conditions over various fundamental reactors, it was shown that the mechanism has the ability to predict the combustion process of this fuel well.
This paper focuses on the combustion mechanism of furan-based fuels synthesized from lignocellulose. The fuel is a binary alternative fuel consisting of 2-methylfuran and 2,5-dimethylfuran derived from furfural. The key reactions affecting the combustion mechanism of this fuel were identified via path analysis, and the initial reaction kinetic mechanism was constructed using a decoupling methodology. Then, a genetic algorithm was used to optimize the initial mechanism. The final skeleton mechanism consisted of 67 species and 228 reactions. By comparing experimental data on ignition delay, component concentration, and laminar flame velocity under a wide range of conditions over various fundamental reactors, it was shown that the mechanism has the ability to predict the combustion process of this fuel well.
Record ID
Keywords
biomass fuel, Genetic Algorithm, skeleton mechanism
Subject
Suggested Citation
Fan W, Du A, Liu G, Liu Q, Gao Y. Study on the Skeleton Mechanism of Second-Generation Biofuels Derived from Platform Molecules. (2023). LAPSE:2023.36135
Author Affiliations
Fan W: School of Vehicle and Traffic Engineering, Henan Institute of Technology, Xinxiang 453003, China [ORCID]
Du A: Department of Machinery and Electronics Engineering, Hami Polytechnic University, Hami 839000, China
Liu G: School of Vehicle and Traffic Engineering, Henan Institute of Technology, Xinxiang 453003, China
Liu Q: School of Vehicle and Traffic Engineering, Henan Institute of Technology, Xinxiang 453003, China
Gao Y: School of Vehicle and Traffic Engineering, Henan Institute of Technology, Xinxiang 453003, China
Du A: Department of Machinery and Electronics Engineering, Hami Polytechnic University, Hami 839000, China
Liu G: School of Vehicle and Traffic Engineering, Henan Institute of Technology, Xinxiang 453003, China
Liu Q: School of Vehicle and Traffic Engineering, Henan Institute of Technology, Xinxiang 453003, China
Gao Y: School of Vehicle and Traffic Engineering, Henan Institute of Technology, Xinxiang 453003, China
Journal Name
Processes
Volume
11
Issue
6
First Page
1589
Year
2023
Publication Date
2023-05-23
ISSN
2227-9717
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Original Submission
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PII: pr11061589, Publication Type: Journal Article
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LAPSE:2023.36135
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https://doi.org/10.3390/pr11061589
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[v1] (Original Submission)
Jul 4, 2023
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Jul 4, 2023
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Calvin Tsay
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