Effect of Biomass Compositions on Combustion Kinetic Parameters using Response Surface Methodology

As biomass combustion is central to many renewable energy technologies, especially production of next-generation liquid biofuels, it is essential to understand the kinetics of this process. This article examines kinetic contributions of the three major components of biomass via a combination of thermogravimetric analysis and statistical regression.

(De Gruyter) – Biomass is an important renewable energy resource which can substitute for other hydrocarbon feedstocks, such as coal and petroleum. Although these materials have great promise, biomass oxidation/combustion (which renders them usable) is poorly understood compared to conventional fuels. In particular, the kinetics of this process have great interest for both academic and industrial researchers; many approaches have been taken, including a number of models as well as analytic/statistical methods. In this study, the authors undertake to develop a simplified model based on thermogravimetric analysis of simulated biomass consisting of varying amounts of the three major components of biofuel: cellulose, hemicellulose, and lignin.

Ultimately, the authors were able to fit regression models to their results which could provide useful predictions of the biomass combustion kinetics as a function of composition. Additionally, determinations about relative thermal stability and reaction order were also made. It is anticipated that these results will find utility in both academic and industrial settings.

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The original full article can be found at De Gruyter here.

DOI: https://doi.org/10.1515/ijcre-2015-0082

International Journal of Chemical Reactor Engineering. ,2016, 14(1), 517–526.

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