Comparison of chemical reaction kinetic models for corn cob pyrolysis
This study used thermogravimetric analysis to investigate activation energy and pre-exponential factor of corn cob pyrolysis via various model-free methods. For applying kinetics of pyrolysis reaction in commercial simulation tools, a representative single reaction of overall pyrolysis reaction woul...
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| Format: | Article |
| Language: | English |
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Elsevier
2020-11-01
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| Series: | Energy Reports |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484720312968 |
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| author | Kiattikhoon Phuakpunk Benjapon Chalermsinsuwan Suttichai Assabumrungrat |
| author_facet | Kiattikhoon Phuakpunk Benjapon Chalermsinsuwan Suttichai Assabumrungrat |
| author_sort | Kiattikhoon Phuakpunk |
| collection | DOAJ |
| description | This study used thermogravimetric analysis to investigate activation energy and pre-exponential factor of corn cob pyrolysis via various model-free methods. For applying kinetics of pyrolysis reaction in commercial simulation tools, a representative single reaction of overall pyrolysis reaction would be preferable in provided toolboxes. However, the kinetic parameters for this single reaction should be suitable to cover all the conversion range. Thus, the kinetic parameters were developed as polynomial regression models. The results showed that verification of using the quadratic regression models derived via Friedman method (Ea=−488.68X2+587.78X+64.104and ln(A)=−106.58X2+116.71X+17.232) had very close agreement with the experiments in entire range of conversion. These regression models could be widely applied in slow pyrolysis and gasification. However, the constants derived via Ozawa–Flynn–Wall method (Ea=248.05kJ mol−1and A=3.05x1022 min−1) were simpler for use in some applications which had no effect of pyrolysis at temperature below 300 °C or conversion below 50%, like fluidized bed pyrolysis/gasification. |
| first_indexed | 2024-12-14T14:39:02Z |
| format | Article |
| id | doaj.art-49cc51a6d9c74a8da0d5118297f9de4a |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-12-14T14:39:02Z |
| publishDate | 2020-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-49cc51a6d9c74a8da0d5118297f9de4a2022-12-21T22:57:29ZengElsevierEnergy Reports2352-48472020-11-016168178Comparison of chemical reaction kinetic models for corn cob pyrolysisKiattikhoon Phuakpunk0Benjapon Chalermsinsuwan1Suttichai Assabumrungrat2Energy Research Institute, Chulalongkorn University, Phayathai Road, Wangmai, Pathumwan, Bangkok 10330, Thailand; Corresponding author.Fuels Research Center, Department of Chemical Technology, Faculty of Science, Chulalongkorn University, Phayathai Road, Wangmai, Pathumwan, Bangkok 10330, Thailand; Center of Excellence on Petrochemical and Materials Technology, Chulalongkorn University, Phayathai Road, Wangmai, Pathumwan, Bangkok 10330, Thailand; Advanced Computational Fluid Dynamics Research Unit, Chulalongkorn University, Phayathai Road, Wangmai, Pathumwan, Bangkok 10330, ThailandAdvanced Computational Fluid Dynamics Research Unit, Chulalongkorn University, Phayathai Road, Wangmai, Pathumwan, Bangkok 10330, Thailand; Center of Excellence on Catalysis and Catalytic Reaction Engineering, Department of Chemical Engineering, Faculty of Engineering, Chulalongkorn University, Phayathai Road, Wangmai, Pathumwan, Bangkok 10330, ThailandThis study used thermogravimetric analysis to investigate activation energy and pre-exponential factor of corn cob pyrolysis via various model-free methods. For applying kinetics of pyrolysis reaction in commercial simulation tools, a representative single reaction of overall pyrolysis reaction would be preferable in provided toolboxes. However, the kinetic parameters for this single reaction should be suitable to cover all the conversion range. Thus, the kinetic parameters were developed as polynomial regression models. The results showed that verification of using the quadratic regression models derived via Friedman method (Ea=−488.68X2+587.78X+64.104and ln(A)=−106.58X2+116.71X+17.232) had very close agreement with the experiments in entire range of conversion. These regression models could be widely applied in slow pyrolysis and gasification. However, the constants derived via Ozawa–Flynn–Wall method (Ea=248.05kJ mol−1and A=3.05x1022 min−1) were simpler for use in some applications which had no effect of pyrolysis at temperature below 300 °C or conversion below 50%, like fluidized bed pyrolysis/gasification.http://www.sciencedirect.com/science/article/pii/S2352484720312968Corn cobPyrolysisKinetic analysisFriedman methodOzawa–Flynn–Wall method |
| spellingShingle | Kiattikhoon Phuakpunk Benjapon Chalermsinsuwan Suttichai Assabumrungrat Comparison of chemical reaction kinetic models for corn cob pyrolysis Energy Reports Corn cob Pyrolysis Kinetic analysis Friedman method Ozawa–Flynn–Wall method |
| title | Comparison of chemical reaction kinetic models for corn cob pyrolysis |
| title_full | Comparison of chemical reaction kinetic models for corn cob pyrolysis |
| title_fullStr | Comparison of chemical reaction kinetic models for corn cob pyrolysis |
| title_full_unstemmed | Comparison of chemical reaction kinetic models for corn cob pyrolysis |
| title_short | Comparison of chemical reaction kinetic models for corn cob pyrolysis |
| title_sort | comparison of chemical reaction kinetic models for corn cob pyrolysis |
| topic | Corn cob Pyrolysis Kinetic analysis Friedman method Ozawa–Flynn–Wall method |
| url | http://www.sciencedirect.com/science/article/pii/S2352484720312968 |
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