Cover
Vol. 14 No. 2 (2014)

Published: June 30, 2014

Pages: 13-22

Original Article

An Optimization-based Approach for design Ion Exchange Treatment Unit

Abstract

The objective function is to satisfy certain constraints and achieve minimum capital, maintenance, and operation costs. Ion exchange unit was used in this study. This study includes development of computer program for advanced wastewater treatment plants design adopting genetic algorithm. The program was developed using Matlab software. The output of the genetic algorithm includes the finding of optimum design criteria for advanced wastewater treatment plants. The obtained design criteria are satisfying the required effluent quality with minimum treatment cost. Based on results of applying GA on ion exchange treatment plant, it was found that the optimum values of bed depth, service flowrate, regenerate flowrate, and back wash rate are 0.71m, 25m3/m3.hr, 8 m3/m3.hr, and 55 m/hr respectively.

References

  1. Conclusions The development and application of genetic algorithm (GA) for the design of different alternatives of advanced wastewater treatment (AWWT) plant, reveal the following conclusions: 1- Genetic Algorithm was found to be powerful technique for operating and defining optimum values of the parameters used in design of the advanced wastewater treatment system. 2- A penalty function can be used to find the global optimum design of constrained problems such as of advanced wastewater treatment design and in conjugation with the genetic algorithm developed in this study. 3-Matlab was found to be a very useful tool for use as an incubator for the genetic algorithm. 4-The treatment cost increases with the increase of influent hardness and decrease of effluent hardness. 5-The optimum values of bed depth, service flowrate, regenerate flowrate, and back wash rate are 0.71m, 25m3/m3.hr, 8 m3/m3.hr, and 55 m/hr, respectively.
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