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Kinetic analysis of bio-oil aging by using pattern search method

Kinetic analysis of bio-oil aging by using pattern search method
Kinetic analysis of bio-oil aging by using pattern search method

Bio-oil derived from fast pyrolysis of lignocellulosic biomass is unstable, and aging would occur during its storage, handling, and transportation. The kinetic analysis of bio-oil aging is fundamental for the investigation of bio-oil aging mechanisms and the utilization of bio-oil as biofuels, biomaterials or biochemicals. The aging kinetic experiments of bio-oil from poplar wood pyrolysis were conducted at different aging temperatures of 303, 333, 353, and 363 K for different specified periods of time in capped glass vessels. The traditional method with two separate fittings was employed to fit experimental data, and the results indicated that the obtained kinetic parameters could not fit the experimental data well. An advanced approach for kinetic modeling of bio-oil aging has been developed by simultaneously processing experimental data at different aging temperatures and using the pattern search method. The aging kinetic model with the optimized parameters predicted the aging kinetic experimental data of the bio-oil sample very well for different aging temperatures.

0888-5885
1487-1494
Zhang, Shukai
65545673-e872-4c5b-bc24-0d5751c538fe
Li, Chong
08af7753-d673-4897-ab6f-ddeaca80de9b
Guo, Xiaojuan
1c550b1c-5221-4ebd-9a8b-49585ba22012
Rahman, Md Maksudur
e18e7868-17cf-45f3-aa90-c5b96707debe
Zhang, Xingguang
98a45d36-518b-4f6f-ac05-b47b277ddc10
Yu, Xi
7e4f553f-cc11-4c6e-ad6d-9fb5c3c07a60
Cai, Junmeng
9e5ac5c2-f617-4571-a0f5-687670340568
Zhang, Shukai
65545673-e872-4c5b-bc24-0d5751c538fe
Li, Chong
08af7753-d673-4897-ab6f-ddeaca80de9b
Guo, Xiaojuan
1c550b1c-5221-4ebd-9a8b-49585ba22012
Rahman, Md Maksudur
e18e7868-17cf-45f3-aa90-c5b96707debe
Zhang, Xingguang
98a45d36-518b-4f6f-ac05-b47b277ddc10
Yu, Xi
7e4f553f-cc11-4c6e-ad6d-9fb5c3c07a60
Cai, Junmeng
9e5ac5c2-f617-4571-a0f5-687670340568

Zhang, Shukai, Li, Chong, Guo, Xiaojuan, Rahman, Md Maksudur, Zhang, Xingguang, Yu, Xi and Cai, Junmeng (2020) Kinetic analysis of bio-oil aging by using pattern search method. Industrial and Engineering Chemistry Research, 59 (4), 1487-1494. (doi:10.1021/acs.iecr.9b05629).

Record type: Article

Abstract

Bio-oil derived from fast pyrolysis of lignocellulosic biomass is unstable, and aging would occur during its storage, handling, and transportation. The kinetic analysis of bio-oil aging is fundamental for the investigation of bio-oil aging mechanisms and the utilization of bio-oil as biofuels, biomaterials or biochemicals. The aging kinetic experiments of bio-oil from poplar wood pyrolysis were conducted at different aging temperatures of 303, 333, 353, and 363 K for different specified periods of time in capped glass vessels. The traditional method with two separate fittings was employed to fit experimental data, and the results indicated that the obtained kinetic parameters could not fit the experimental data well. An advanced approach for kinetic modeling of bio-oil aging has been developed by simultaneously processing experimental data at different aging temperatures and using the pattern search method. The aging kinetic model with the optimized parameters predicted the aging kinetic experimental data of the bio-oil sample very well for different aging temperatures.

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More information

Published date: 29 January 2020
Additional Information: Funding Information: Financial support from Shanghai Jiao Tong University (Agri-X Project: Co-pyrolysis of biomass and waste rubber for high-performance bio-bitumen) is greatly acknowledged. The authors appreciate the language contributions of Miss Nishu, Ph.D. candidate from the School of Agriculture and Biology, Shanghai Jiao Tong University, People’s Republic of China.

Identifiers

Local EPrints ID: 481883
URI: http://eprints.soton.ac.uk/id/eprint/481883
ISSN: 0888-5885
PURE UUID: 7ba22d70-f9e5-49f3-8c1e-c3d769b2bb0b

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Date deposited: 12 Sep 2023 16:45
Last modified: 18 Mar 2024 04:14

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Contributors

Author: Shukai Zhang
Author: Chong Li
Author: Xiaojuan Guo
Author: Md Maksudur Rahman
Author: Xingguang Zhang
Author: Xi Yu ORCID iD
Author: Junmeng Cai

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