Exploring aging kinetic mechanisms of bio-oil from biomass pyrolysis based on change in carbonyl content

Hangli Hu, Yanru Luo, Jianfeng Zou, Shukai Zhang, Dominic Yellezuome, Md Maksudur Rahman, Yingkai Li, Chong Li and Junmeng Cai

Renewable Energy, 2022, vol. 199, issue C, 782-790

Abstract: Bio-oil from biomass pyrolysis offers a wide range of applications such as transport fuels, value-added chemicals, materials, or heat and power generation. However, fresh bio-oil is unstable due to its physicochemical properties, chemical composition, and multiphase behaviors changing with time. The bio-oil aging kinetic model based on the change in carbonyl content was developed, and the pattern search method was proposed to optimize the model parameters. The accelerated and long-term aging kinetic behaviors of two bio-oil samples could be described accurately by the carbonyl-based aging kinetic model. The reaction rate constant values for the long-term and accelerated aging of bio-oil 1 were 1.694 × 10−4 and 4.589 × 10−2 h−1, whereas 3.084 × 10−4 h−1 and 1.329 × 10−1 h−1 were reported for bio-oil 2, respectively. The reaction order values of the long-term aging (2.452 for bio-oil 1 and 3.973 for bio-oil 2) were higher than that of the accelerated aging (0.943 for bio-oil 1 and 1.000 for bio-oil 2). Two bio-oil samples showed different aging kinetic characteristics due to different raw materials, pyrolysis reactor types and conditions, and bio-oil phases for aging tests. The hydration, hemiacetal, acetal and polymerization reactions of carbonyl compounds were the primary mechanisms for the change in carbonyl content during bio-oil aging.

Keywords: Lignocellulosic biomass; Pyrolysis bio-oil; Aging kinetics; Pattern search method; Carbonyl content (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:199:y:2022:i:c:p:782-790

DOI: 10.1016/j.renene.2022.09.049

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