Numerical algorithms for simulation and optimization of bioreactors with multiple elementary reactions

Authors

DOI:

https://doi.org/10.35819/remat2023v9i2id6919

Keywords:

matrix algorithm, multiple reactions, reaction calculation

Abstract

Alongside the technological advances of the last decades, there was an increase in the demand for electric energy, which cannot be supplied by the actually employed processes. Among the emerging alternatives to supply the increasing consumption is the biogas, with the advantage of being produced from organic residues generated by an exponentially growing population. The study of bioreactors is, in this panorama, essential to, not only soften the growing crisis, but to optimize the processes actually employed. Thus, the main objective of this paper was to create algorithms that automate the simulation of different types of reactors, starting with the ones subjected to multiple elementary reactions, but which can be updated in the future to deal with multiple simultaneous microbiological reactions. These algorithms were developed in Scilab, a free software, and the obtained results were compared with the ones available in the literature, obtaining numerical convergence, which indicates their effectiveness.

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Author Biographies

Michel Michelon, Instituto Federal de Educação, Ciência e Tecnologia Farroupilha (IFFAR), Uruguaiana, RS, Brasil

Juliana Fronza, Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Sul (IFRS), Bento Gonçalves, RS, Brasil

Marlene Guevara dos Santos, Universidade Estadual do Rio Grande do Sul (UERGS), Porto Alegre, RS, Brasil

References

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Published

2023-12-29

How to Cite

MICHELON, M.; FRONZA, J.; SANTOS, M. G. dos. Numerical algorithms for simulation and optimization of bioreactors with multiple elementary reactions. REMAT: Revista Eletrônica da Matemática, Bento Gonçalves, RS, v. 9, n. 2, p. e3011, 2023. DOI: 10.35819/remat2023v9i2id6919. Disponível em: https://periodicos.ifrs.edu.br/index.php/REMAT/article/view/6919. Acesso em: 13 may. 2024.

Issue

Section

Mathematics

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