4.7 Article

A numerical investigation of CO2 gasification of biomass particles-analysis of energy, exergy and entropy generation

期刊

ENERGY
卷 228, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2021.120615

关键词

CO2 biomass gasification; Biosyngas production; Energy and exergy efficiencies; Equilibrium and kinetic models; Unsteady entropy generation

资金

  1. RAEng/The Leverhulme Trust Senior Research Fellowship by the Royal Academy of Engineering [LTSRF1718\14\45]

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A novel low-cost theoretical tool and a computational fluid dynamics model were developed to analyze the gasification of biomass particles in a CO2 atmosphere. It was found that increasing C/CO(2) enhances hydrogen production and improves energy and exergy efficiencies of the process. Additionally, the irreversibility of chemical reactions was identified as the most significant contributor to total entropy generation.
Much attention has been recently paid to biomass CO2 gasification as a means of CO2 utilisation and mitigation. In this study, a novel low-cost theoretical tool based on thermodynamic equilibrium, and a computational fluid dynamics model are developed to analyse gasification of biomass particles in a CO2 atmosphere. It is shown that increases in C/CO(2 )enhances the production of hydrogen and results in improving energy and exergy efficiencies of the process. In keeping with that reported for air gasification, increasing the moisture content of biomass intensifies hydrogen production and reduces the yield of CO. The effects of particle temperature on the gasification process are further explored through a spatio-temporal analysis of the gaseous chemical species. In particular, the results reveal that higher initial temperatures of biomass at the entrance of the reactor lead to stronger generation of chemical entropy. Also, the time trace of entropy generation is found to be affected significantly by the initial temperature of the biomass particle. Importantly, the relation between the particle temperature and total entropy generation is observed to be highly nonlinear. Further, it is found that the irreversibility of chemical reactions is the most significant contributor to the total entropy generation in the process. (C) 2021 Elsevier Ltd. All rights reserved.

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