Journal article
Steady state optimization of design and operation of desalination systems using Aspen Custom Modeler
Computers & Chemical Engineering, Vol.91, pp.247-256
2016
Abstract
In this paper Multistage flash (MSF), Reverse Osmosis (RO) and hybrid MSF/RO desalination systems are optimized. A superstructure is set up for analyzing various process configurations in a single flowsheet. Detailed steady state models for MSF and RO sections of the superstructure are developed incorporating comprehensive physio-chemical properties and design characteristics. The model for the hybrid system combines individual models of MSF and RO systems and additional separators and mixers. The optimization variables consist of the operating and design variables, and the objective function is developed on the basis of economic and technical performance indicators. Primary results show that the hybridization of MSF and RO systems sharing common intake-outfall facilities presents lower cost with the additional benefits of higher overall recovery than MSF system and higher product quality than RO system. The sensitivity analysis of the cost parameters is performed to realize their effects on the selection of process configuration.
Details
- Title
- Steady state optimization of design and operation of desalination systems using Aspen Custom Modeler
- Authors/Creators
- S.N. Malik (Author/Creator) - Murdoch UniversityP.A. Bahri (Author/Creator) - Murdoch UniversityL.T.T. Vu (Author/Creator) - Murdoch University
- Publication Details
- Computers & Chemical Engineering, Vol.91, pp.247-256
- Publisher
- Elsevier
- Identifiers
- 991005540626107891
- Copyright
- © 2016 Elsevier Ltd.
- Murdoch Affiliation
- School of Engineering and Information Technology
- Language
- English
- Resource Type
- Journal article
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- Citation topics
- 2 Chemistry
- 2.241 Membrane Science
- 2.241.270 Nanofiltration
- Web Of Science research areas
- Computer Science, Interdisciplinary Applications
- Engineering, Chemical
- ESI research areas
- Chemistry