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.


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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