Paper Title:
Optimal Design of Multistage Flash Desalination Process Based on the Modified Genetic Algorithm (MGA)
  Abstract

In this paper, a rigorous mathematical model of multistage flash system (MSF) is presented based on a detailed physicochemical representation of the process, including all the fundamental elementary phenomena. In particular, Comparison to the mathematical model of reference, two integer variables, which are the number of recovery stage (NR) and the number of rejection stage (NJ), are introduced to the model. Additionally, two special variables, which are the ratio of recirculation brine water flow rate and distillation flow rate and the ratio of make-up flow rate and the distillation flow rate, are introduced to the model as the continuous variables too. Then, the MSF system is described as a mixed-integer nonlinear programming (MINLP). The objective is to minimize the total annual cost (TAC), which is mainly composed of the operating costs and investment cost. Here the modified genetic algorithm (MGA), which is characterized as mixing coding way, is adopted for the system optimization. A case study and a discussion of the results are presented.

  Info
Periodical
Advanced Materials Research (Volumes 233-235)
Edited by
Zhong Cao, Lixian Sun, Xueqiang Cao, Yinghe He
Pages
1044-1049
DOI
10.4028/www.scientific.net/AMR.233-235.1044
Citation
L. Y. Wu, Y. D. Hu, C. J. Gao, "Optimal Design of Multistage Flash Desalination Process Based on the Modified Genetic Algorithm (MGA)", Advanced Materials Research, Vols. 233-235, pp. 1044-1049, 2011
Online since
May 2011
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$32.00
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