An Optimization-based Approach for design Ion Exchange Treatment Unit
Pages: 13 - 22
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Participants:
Zohul A. Hadi Hamza |
Summary:
The objective function is to satisfy certain constraints and achieve minimum capital, maintenance, and operation costs. An ion exchange unit was used in this study. This study includes the development of a computer program for advanced wastewater treatment plant design adopting a 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 the results of applying GA on the ion-exchange treatment plant, it was found that the optimum values of bed depth, service flowrate, regenerate flowrate, and backwash rate is 0.71 m, 25m3/m3.hr, 8 m3/m3.hr, and 55 m/hr respectively.