Modelling, simulation, optimization and control of multistage flashing (MSF) desalination plants Part I: Modelling and simulation

Multistage flashing (MSF) processes can be represented by both steady-state and dynamic models. The former is a useful tool for the design, understanding and optimization of existing as well as new plants. Dynamic models are required for solving problems in the transient phase. This, in turn, includ...

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Veröffentlicht in:Desalination 1993, Vol.92 (1), p.21-41
Hauptverfasser: Husain, Asghar, Hassan, Ali, Al-Gobaisi, Darwish M.K., Al-Radif, Adil, Woldai, A., Sommariva, C.
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Sprache:eng
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Zusammenfassung:Multistage flashing (MSF) processes can be represented by both steady-state and dynamic models. The former is a useful tool for the design, understanding and optimization of existing as well as new plants. Dynamic models are required for solving problems in the transient phase. This, in turn, includes problems such as control strategies, stability assessment, process interactions, trouble shooting, start-up, load changes and shutdown scheduling. This part of the paper offers an assessment of modelling and simulation studies for the MSF plants. Normally an MSF process is a nonlinear recycle process with a closed loop information flow. Solution methods recognising these features must be used. One is the simultaneous approach (equation oriented) and the other is stage by stage (sequential) approach. Advantages and disadvantages of both the solution procedures are discussed, in view of minimizing the computational effort. In general, computer based process simulation can be done either by using a specific (specially developed) program or by applying a general purpose simulation package. For several reasons, a specific program is preferred for the MSF process simulation. An available general simulator, however, can be used to get initial simulation results. In this paper, use of both types of programs is evaluated for the steady-state and dynamic simulations of the MSF plants.
ISSN:0011-9164
1873-4464
DOI:10.1016/0011-9164(93)80073-V