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 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.

Original languageEnglish
Pages (from-to)1487-1494
Number of pages8
JournalIndustrial and Engineering Chemistry Research
Volume59
Issue number4
Early online date2 Jan 2020
DOIs
Publication statusPublished - 29 Jan 2020

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

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