Development of a predictive model for a velocity profile of a biofermenter using three different type of reactors


Trabajo Escrito, 2020

15 Páginas, Calificación: B


Resumen o Introducción

This research contains the modeling of the velocity profile of a bioreactor with recycle; the concept of biochemical process. The biochemical process adopted is fermentation and a plug-flow fermenter (PFF) was taken as a case study. The derivation of workable model equations for monitoring and predicting the velocity profile of a PFF were obtained, together with obtaining the model equations for investigating the effect of microbial and substrate concentrations on the discharge coefficient, bioreactor’s volume. Constant data were sourced from literatures, together with hypothetical values to simulate the derived model equations using Mathlab.

Effect of biomass concentration on discharge coefficient, shows that increase in biomass concentration brings a corresponding increase in the discharge coefficient as well as the bioreactor’s volume revealed that substrate concentration is depleting alongside with bioreactor’s volume follows the same trend of change when substrate concentration is decreasing irrespective of whether the length or area of the bioreactor is varied. The effect of microbial concentration on bioreactor volume when area and length of bioreactor are varied reveals that the process followed same trend only that there is a presence of lag phase upon the influence of inhibitors.

Detalles

Título
Development of a predictive model for a velocity profile of a biofermenter using three different type of reactors
Calificación
B
Autor
Año
2020
Páginas
15
No. de catálogo
V977999
ISBN (Ebook)
9783346328625
ISBN (Libro)
9783346328632
Idioma
Inglés
Palabras clave
reactors, velocity profile, predictive model
Citar trabajo
Chukwuemeka Ukpaka (Autor), 2020, Development of a predictive model for a velocity profile of a biofermenter using three different type of reactors, Múnich, GRIN Verlag, https://www.grin.com/document/977999

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