Development of a package model for process simulation and cost estimation of seawater reverse osmosis desalination plant

Young Mi Kim, Yun Seok Lee, Young Geun Lee, Seung Joon Kim, Dae Ryook Yang, In S. Kim, Joon Ha Kim

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)

Abstract

Seawater reverse osmosis (SWRO) desalination is rising as an alternative solution for the water shortage problem which is more severe than before. In this study, a package of process models was developed and tested by four-year SWRO plant operation data obtained from Fujairah in UAE, as a tool not only for simulating the performance of SWRO desalination process but for estimating the total profits of the plant operation. The simulation results based on the developed process models were reasonably satisfied to predict the SWRO desalination plant performance in terms of permeate water concentration and flow rate. And the results of cost estimation show a possibility that the models can successfully predict total annual profits (TAP) within the order of magnitude of USD/year, according to operating date, feed water concentration, and permeate water condition. Consequently, the developed package model is applicable to support design criteria and efficient operation of SWRO desalination plant as references.

Original languageEnglish
Pages (from-to)326-335
Number of pages10
JournalDesalination
Volume247
Issue number1-3
DOIs
Publication statusPublished - 2009 Oct

Bibliographical note

Funding Information:
This research was supported by a grant (Code# 07seaHEROB02-01) from the Plant Technology Advancement Program funded by the Ministry of Land, Transport and Maritime Affairs of the Korean government. In addition, the authors would like to thank Doosan Heavy Industries & Construction for assisting our study by providing experimental data from the Fujairah plant in UAE.

Keywords

  • Cost estimation
  • Process simulation
  • SWRO desalination

ASJC Scopus subject areas

  • Chemistry(all)
  • Chemical Engineering(all)
  • Materials Science(all)
  • Water Science and Technology
  • Mechanical Engineering

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