Kinetic Analysis of Bio-Oil Aging by Using Pattern Search Method

Shukai Zhang, Chong Li, Xiaojuan Guo, Md.Maksudur Rahman, Xingguang Zhang, Xi Yu, Junmeng Cai

Research output: Contribution to journalArticle

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 bio-fuels, bio-materials or bio-chemicals. 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 separated 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.
Original languageEnglish
JournalIndustrial and Engineering Chemistry Research
Early online date2 Jan 2020
DOIs
Publication statusE-pub ahead of print - 2 Jan 2020

Fingerprint

Oils
Aging of materials
Kinetics
Pyrolysis
Kinetic parameters
Temperature
Wood
Biomass
Glass
Processing

Bibliographical note

This document is the Accepted Manuscript version of a Published Work that appeared in final form in Ind. Eng. Chem. Res., copyright © American Chemical Society after peer review and technical editing by the publisher. To access the final edited and published work see https://doi.org/10.1021/acs.iecr.9b05629

Cite this

Zhang, Shukai ; Li, Chong ; Guo, Xiaojuan ; Rahman, Md.Maksudur ; Zhang, Xingguang ; Yu, Xi ; Cai, Junmeng. / Kinetic Analysis of Bio-Oil Aging by Using Pattern Search Method. In: Industrial and Engineering Chemistry Research. 2020.
@article{2603c3d9ef4f452580baa5fa2b9ea479,
title = "Kinetic Analysis of Bio-Oil Aging by Using Pattern Search Method",
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 bio-fuels, bio-materials or bio-chemicals. 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 separated 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.",
author = "Shukai Zhang and Chong Li and Xiaojuan Guo and Md.Maksudur Rahman and Xingguang Zhang and Xi Yu and Junmeng Cai",
note = "This document is the Accepted Manuscript version of a Published Work that appeared in final form in Ind. Eng. Chem. Res., copyright {\circledC} American Chemical Society after peer review and technical editing by the publisher. To access the final edited and published work see https://doi.org/10.1021/acs.iecr.9b05629",
year = "2020",
month = "1",
day = "2",
doi = "10.1021/acs.iecr.9b05629",
language = "English",
journal = "Industrial and Engineering Chemistry Research",
issn = "0888-5885",
publisher = "American Chemical Society",

}

Kinetic Analysis of Bio-Oil Aging by Using Pattern Search Method. / Zhang, Shukai; Li, Chong; Guo, Xiaojuan; Rahman, Md.Maksudur; Zhang, Xingguang; Yu, Xi; Cai, Junmeng.

In: Industrial and Engineering Chemistry Research, 02.01.2020.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Kinetic Analysis of Bio-Oil Aging by Using Pattern Search Method

AU - Zhang, Shukai

AU - Li, Chong

AU - Guo, Xiaojuan

AU - Rahman, Md.Maksudur

AU - Zhang, Xingguang

AU - Yu, Xi

AU - Cai, Junmeng

N1 - This document is the Accepted Manuscript version of a Published Work that appeared in final form in Ind. Eng. Chem. Res., copyright © American Chemical Society after peer review and technical editing by the publisher. To access the final edited and published work see https://doi.org/10.1021/acs.iecr.9b05629

PY - 2020/1/2

Y1 - 2020/1/2

N2 - 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 bio-fuels, bio-materials or bio-chemicals. 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 separated 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.

AB - 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 bio-fuels, bio-materials or bio-chemicals. 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 separated 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.

UR - https://pubs.acs.org/doi/10.1021/acs.iecr.9b05629

U2 - 10.1021/acs.iecr.9b05629

DO - 10.1021/acs.iecr.9b05629

M3 - Article

JO - Industrial and Engineering Chemistry Research

JF - Industrial and Engineering Chemistry Research

SN - 0888-5885

ER -