Simulation and Optimization of a Continuous Biochemical Reactor

Ghanim M Alwan

doi:10.4172/2157-7048.1000142

Abstract

The present work focused on the dynamic and optimization of a continuous biochemical reactor using the glucose as a substrate. Simulated model provides the development of the process and reducing the risk of experimental runs. The selected process variables are; dilution rate (D), feed substrate concentration (Si), pH and temperature (T). The effect of D was observed at Si below 20 g/L. pH and T are affecting within Si of 60 g/L. Si is the effective process variable on the dynamic characteristics of the reactor. Reasonable agreement has found when compared the simulated results with that obtained by the previous work .Optimization technique guides the decision maker to select the best operating conditions. Stochastic genetic algorithm has found suitable for the nonlinear reactor. Optimal results indicate that the maximum biomass concentration (X) is 80.57 g/L at Si of 197.56 g/L and low D of 0.1(1/hr). Si was the sensitive variable for changing of the objective X.

Highlights

Lee [1], and Kapadia et al [2] described the concept and applications of the biochemical reactors
The increasing of substrate concentration (Si) increases the concentration of biomass in the reactor as shown in the figure 4b.This is due to the fact; that Si has a positive effect on the specific growth rate constant (μ) regarding to the Monod law.While the increasing of D tends to increase the dilution of the substrate which could moderate the growth rate reduces the concentration of the biomass in the biochemical reactor
Genetic Algorithm (GA) is stochastic global search based on mechanics of natural selection

Summary

Introduction

Lee [1], and Kapadia et al [2] described the concept and applications of the biochemical reactors. The selected variables are; feed substrate concentration, dilution rate, pH Stochastic globe genetic algorithm search will implement to select the best operating conditions of the reactor.

Results

Conclusion