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Kinetic Analysis of Bio-Oil Aging by Using Pattern Search Method
Industrial & Engineering Chemistry Research ( IF 3.375 ) Pub Date : 2020-01-14 , DOI: 10.1021/acs.iecr.9b05629
Shukai Zhang; Chong Li; Xiaojuan Guo; Md Maksudur Rahman; Xingguang Zhang; Xi Yu; Junmeng Cai

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.
更新日期:2020-01-15

 

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