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Optimize RO Desalination with Genetic Algorithms by Yesid Tapiero Martínez is a document available to read on EtoBox.
This document summarizes an article that proposes using a genetic algorithm to optimize reverse osmosis desalination systems. The authors develop a methodology using a solution-diffusion model and genetic algorithms to maximize permeate flow rate while meeting constraints on permeate concentration. They apply their genetic algorithm program called GARO to optimize a real reverse osmosis plant in Egypt. Results show the permeate flow rate increases approximately linearly with membrane pressure difference. Pe
- Author
- Yesid Tapiero Martínez
- Language
- EN