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Aspen plus simulation of sargassum for quality synthesis gas

Biomass is widely considered as a raw material for the production of biochemicals and biofuels and among all the options for its use, the gasification process is the most popular due to its environmental advantages. The great arrival of sargassum to the coasts of the State of Quintana Roo, Mexico, w...

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Detalles Bibliográficos
Autores principales: Velázquez-Hernández, Amalinalli, Aguillón-Martínez, Javier E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10362159/
https://www.ncbi.nlm.nih.gov/pubmed/37483741
http://dx.doi.org/10.1016/j.heliyon.2023.e17731
Descripción
Sumario:Biomass is widely considered as a raw material for the production of biochemicals and biofuels and among all the options for its use, the gasification process is the most popular due to its environmental advantages. The great arrival of sargassum to the coasts of the State of Quintana Roo, Mexico, which has taken place for several years, forces us to study its energy use. In this study, the experimental results of the gasification of four biomasses (pine sawdust, bamboo dust, rice husk, and cane bagasse) from three different bibliographical references were simulated and validated, using the Aspen Plus computer software. The simulation model used considers the combustion of 30% of the biomass and therefore an energy balance, in addition to an estimate of the tar generated in the process. Based on the comparison of the percentage molar composition and the heating value of the syngas obtained the performance of the process was evaluated, where the lowest error per difference was for the validation of rice husk (RH) with an ER of 0.35. Subsequently, the sargassum gasification simulation was carried out with information on the properties of this biomass from five bibliographic references, obtaining as a result a syngas with a lower heating value (LHV) that varies between 2.6 and 4.8 MJ/Nm(3) for ER of 0.3 and 0.35, respectively.