Simulation and Multiobjective Optimization of a Continuous Biochemical Reactor using Multilayer Modeling Technique

Abstract

Biochemical reactors are essential unit operations in a wide variety of biotechnological process. as compared to conventional chemical reactors, bioreactors present unique modeling and control challenges due to complexity of the underlying biochemical reactions. the biological processes are inherently very nonlinear and have frequently changing optimum operating conditions. Additionally, many available mathematical models for biological reactions are either in exact approximations or not suitable for a control design since no accurate biological law that can be exploited has been proposed. Optimization of biochemical reactor process requires a mathematical model that describes and predicts the process behavior. the present biochemical reactor which used substrate (glucose) was simulated using multilayer modeling technique. the first layer is hybrid model was consist the framework of the dynamic mass balance equations supplemented with the sub models of kinetic reaction and the optimum problem represent the second modeling layer. to overcome the limitation of experimental data, the accurate simulated model was used as a powerful tool to generate data which construct the objective functions. the objective of the optimization technique was to maximize the conversion and minimize the cycle time of reaction. the decision (effective) variables were the dilution rate and the inlet concentration of the substrate. Optimization technique was the powerful tool to generate several new designs and sets of operating conditions. This can reduce the number of experimental runs and the cost consumed for the design and operation. Also it limits the best range of the operating conditions which improve the efficiency of the reactor. the yield of the biomass increased by 43% at the optimum conditions. the stochastic search by Genetic algorithm with adaptive operators was the best to perform the multiobjective optimization of the present nonlinear interacted biochemical reactor.

Department(s)

Chemical and Biochemical Engineering

Keywords and Phrases

Biological engineering; Genetic algorithm; Multilayer model; Optimization

International Standard Book Number (ISBN)

978-161839730-0

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2024 American Institute of Chemical Engineers, All rights reserved.

Publication Date

01 Jan 2011

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