Kinetic compensation effect in logistic distributed activation energy model for lignocellulosic biomass pyrolysis
Kinetic compensation effect in logistic distributed activation energy model for lignocellulosic biomass pyrolysis
The kinetic compensation effect in the logistic distributed activation energy model (DAEM) for lignocellulosic biomass pyrolysis was investigated. The sum of square error (SSE) surface tool was used to analyze two theoretically simulated logistic DAEM processes for cellulose and xylan pyrolysis. The logistic DAEM coupled with the pattern search method for parameter estimation was used to analyze the experimental data of cellulose pyrolysis. The results showed that many parameter sets of the logistic DAEM could fit the data at different heating rates very well for both simulated and experimental processes, and a perfect linear relationship between the logarithm of the frequency factor and the mean value of the activation energy distribution was found. The parameters of the logistic DAEM can be estimated by coupling the optimization method and isoconversional kinetic methods. The results would be helpful for chemical kinetic analysis using DAEM.
Biomass pyrolysis, Distributed activation energy model (DAEM), Kinetic compensation effect, Logistic distribution, Pattern search method
139-145
Xu, Di
b68db91f-c4d1-42c7-bd9d-f23f3aa2ec40
Chai, Meiyun
1daa6ce6-e557-456d-b5cc-ea3e98dd8538
Dong, Zhujun
2d1b6a22-68c9-4439-98a1-9ac182d92ead
Rahman, Md Maksudur
e18e7868-17cf-45f3-aa90-c5b96707debe
Yu, Xi
7e4f553f-cc11-4c6e-ad6d-9fb5c3c07a60
Cai, Junmeng
9e5ac5c2-f617-4571-a0f5-687670340568
14 June 2018
Xu, Di
b68db91f-c4d1-42c7-bd9d-f23f3aa2ec40
Chai, Meiyun
1daa6ce6-e557-456d-b5cc-ea3e98dd8538
Dong, Zhujun
2d1b6a22-68c9-4439-98a1-9ac182d92ead
Rahman, Md Maksudur
e18e7868-17cf-45f3-aa90-c5b96707debe
Yu, Xi
7e4f553f-cc11-4c6e-ad6d-9fb5c3c07a60
Cai, Junmeng
9e5ac5c2-f617-4571-a0f5-687670340568
Xu, Di, Chai, Meiyun, Dong, Zhujun, Rahman, Md Maksudur, Yu, Xi and Cai, Junmeng
(2018)
Kinetic compensation effect in logistic distributed activation energy model for lignocellulosic biomass pyrolysis.
Bioresource Technology, 265, .
(doi:10.1016/j.biortech.2018.05.092).
Abstract
The kinetic compensation effect in the logistic distributed activation energy model (DAEM) for lignocellulosic biomass pyrolysis was investigated. The sum of square error (SSE) surface tool was used to analyze two theoretically simulated logistic DAEM processes for cellulose and xylan pyrolysis. The logistic DAEM coupled with the pattern search method for parameter estimation was used to analyze the experimental data of cellulose pyrolysis. The results showed that many parameter sets of the logistic DAEM could fit the data at different heating rates very well for both simulated and experimental processes, and a perfect linear relationship between the logarithm of the frequency factor and the mean value of the activation energy distribution was found. The parameters of the logistic DAEM can be estimated by coupling the optimization method and isoconversional kinetic methods. The results would be helpful for chemical kinetic analysis using DAEM.
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Published date: 14 June 2018
Additional Information:
Funding Information:
Financial support from CAS Key Laboratory of Renewable Energy (No. Y807k91001) and Global Challenges Research Fund (GCRF) Networking Grant (‘Pyrolysis of Municipal Organic Waste for Renewable Road Construction Materials’) is greatly acknowledged.
Publisher Copyright:
© 2018 Elsevier Ltd
Keywords:
Biomass pyrolysis, Distributed activation energy model (DAEM), Kinetic compensation effect, Logistic distribution, Pattern search method
Identifiers
Local EPrints ID: 481900
URI: http://eprints.soton.ac.uk/id/eprint/481900
ISSN: 0960-8524
PURE UUID: 16ccc4b5-ef41-46b2-ba4a-0efb2ece2175
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Date deposited: 12 Sep 2023 17:00
Last modified: 18 Mar 2024 04:14
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Contributors
Author:
Di Xu
Author:
Meiyun Chai
Author:
Zhujun Dong
Author:
Md Maksudur Rahman
Author:
Xi Yu
Author:
Junmeng Cai
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