A MULTIVARIABLE COMPUTATIONAL FLUID DYNAMICS ANALISYS METHOD BASED IN BAYESIAN NETWORKS APPLIED IN A BIOREACTOR

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Published: 2015-12-25

Page: 10-17


IRVING CESAR ORTIZ-VAZQUEZ

Centro de Investigaciones y Estudios Avanzados del Instituto Politécnico Nacional (CINVESTAV), Unidad Querétaro, México

JUAN FRANCISCO PÉREZ-ROBLES

Centro de Investigaciones y Estudios Avanzados del Instituto Politécnico Nacional (CINVESTAV), Unidad Querétaro, México

GUILLERMO ALFONSO DE LA TORRE-GEA *

Universidad Tecnológica de Corregidora, Querétaro, México

RODRIGO FERNANDEZ-LOYOLA

Centro de Investigaciones y Estudios Avanzados del Instituto Politécnico Nacional (CINVESTAV), Unidad Querétaro, México

JUAN FRANCISCO PÉREZ-BRITO

Centro de Investigaciones y Estudios Avanzados del Instituto Politécnico Nacional (CINVESTAV), Unidad Querétaro, México

*Author to whom correspondence should be addressed.


Abstract

Computational Fluid Dynamics is a technique that has been used in recent years to simulate and obtain numerical approximations of the physical conditions within bioreactors. Although this technique has been able to increase the accuracy and realism of the models, it is necessary to establish their accuracy with respect to the real data obtained from sensors. However, one of the problems that present, when discretizing a domain control to calculate the balance of energy, is the impossibility of handling many variables and parameters established at the same time. Then it is necessary other tools to analyze these models. In recent years, Bayesian networks have been employed for analysis the multivariable models. We develop a Computational Fluid Dynamics model which was analyzed using Bayesian Networks to show the relations between methane and CO2 concentrations. It has been possible to quantify these relationships, calculating inferences in dependent probability distributions.

Keywords: Heuristics, numerical models, CO2, methane


How to Cite

ORTIZ-VAZQUEZ, I. C., PÉREZ-ROBLES, J. F., TORRE-GEA, G. A. D. L., FERNANDEZ-LOYOLA, R., & PÉREZ-BRITO, J. F. (2015). A MULTIVARIABLE COMPUTATIONAL FLUID DYNAMICS ANALISYS METHOD BASED IN BAYESIAN NETWORKS APPLIED IN A BIOREACTOR. Journal of Applied Chemical Science International, 6(1), 10–17. Retrieved from https://ikprress.org/index.php/JACSI/article/view/3901

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