Marcantonio, V.; Di Paola, L.; De Falco, M.; Capocelli, M. Modeling of Biomass Gasification: From Thermodynamics to Process Simulations. Energies2023, 16, 7042.
Marcantonio, V.; Di Paola, L.; De Falco, M.; Capocelli, M. Modeling of Biomass Gasification: From Thermodynamics to Process Simulations. Energies 2023, 16, 7042.
Marcantonio, V.; Di Paola, L.; De Falco, M.; Capocelli, M. Modeling of Biomass Gasification: From Thermodynamics to Process Simulations. Energies2023, 16, 7042.
Marcantonio, V.; Di Paola, L.; De Falco, M.; Capocelli, M. Modeling of Biomass Gasification: From Thermodynamics to Process Simulations. Energies 2023, 16, 7042.
Abstract
Biomass gasification acquired great interest over the past decades as an effective and trustable technology to produce energy and fuels with net-zero carbon emissions. Moreover, using biomass waste as feedstock enables to recycle organic wastes and to fit the circular economy goals thus reducing the environmental impacts of waste management. Even if many studies have been already carried on, this kind of process must still be investigated and optimized with the final aim to develop industrial plants for different applications, from the hydrogen production to net-negative emission strategies. Modeling and developing of process simulations became an important tool to investigate the chemical and physical behavior of the plant, allowing to make a first raw optimization of the process and to define heat and material balances of the plant as well as to define optimal geometrical parameters with cost and time effective approaches. The present review paper focuses on the main literature models developed until now to describe biomass gasification process, and in particular on kinetic models, thermodynamic models, and computational fluid dynamic models. The aim of this study is to point out the strengths and the weakness of those models, comparing them and indicating in which situation is better to use an approach instead of another. Moreover, theoretical shortcut models and software simulations, not explicitly addressed by prior reviews, are taken into account. For researchers and designers this review provides a detailed methodology characterization as a guide to develop innovative study or project.
Keywords
biomass gasification; process simulation; thermodynamic equilibrium; kinetic model; ANN; multivariate data analysis
Subject
Engineering, Chemical Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
