ESTIMATION OF PARAMETERS IN BIOREACTOR DYNAMICS MODELS

Autores

  • J. P. Castro Júnior University Federal of Para
  • E. C. Rodrigues University Federal of Pará
  • M. B. Carmo University Federal of Pará
  • D. S. Costa University Federal of Pará
  • D. C. Estumano University Federal of Pará

DOI:

https://doi.org/10.5380/reterm.v22i4.95216

Palavras-chave:

biorreactors, MCMC, Monod.

Resumo

Bioreactors are applied in the production of various products and the analysis of parameters that describe the production/consumption kinetics of the species becomes important to be able to design the bioreactors, as well as through mathematical models to be able to carry out simulations that make it possible to infer the concentration of species in scenarios where there is no experimental data. In this context, this article shows the application of Bayesian techniques (Monte Carlo Via Markov Chain-MCMC) to estimate both parameters and state variables in which there are no experimental measurements. The application was carried out using a model that has as state variables substrate (S), product (P) and biomass (X) using the Monod model as the kinetic model. The estimates obtained had good accuracy and precision in the evaluated scenario.

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Publicado

2024-04-18

Como Citar

Castro Júnior, J. P., Rodrigues, E. C., Carmo, M. B., Costa, D. S., & Estumano, D. C. (2024). ESTIMATION OF PARAMETERS IN BIOREACTOR DYNAMICS MODELS. Revista Da Engenharia Térmica, 22(4), 34–38. https://doi.org/10.5380/reterm.v22i4.95216

Edição

v. 22 n. 4 (2023)

Seção

Technology

Licença

Direitos Autorais para artigos publicados nesta revista são do autor, com direitos de primeira publicação para a revista. Em virtude da aparecerem nesta revista de acesso público, os artigos são de uso gratuito, com atribuições próprias, em aplicações educacionais e não-comerciais.