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 - 2020/1/29
Y1 - 2020/1/29
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 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.
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 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.
UR - https://pubs.acs.org/doi/10.1021/acs.iecr.9b05629
UR - http://www.scopus.com/inward/record.url?scp=85078531716&partnerID=8YFLogxK
U2 - 10.1021/acs.iecr.9b05629
DO - 10.1021/acs.iecr.9b05629
M3 - Article
SN - 0888-5885
VL - 59
SP - 1487
EP - 1494
JO - Industrial and Engineering Chemistry Research
JF - Industrial and Engineering Chemistry Research
IS - 4
ER -