Dynamic behavior of MSF desalination plants

Aly, Narmine H.; Marwan, M.A.

doi:10.1016/0011-9164(95)00032-w

Cited by 16 publications

(1 citation statement)

References 4 publications

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“…In this work, no disturbances in process input parameters (such as seawater feed rate, steam flow rate) are considered (which can make the MSF process dynamic) except the change in feed seawater temperature. However, in a particular season throughout the day, the variation of seawater temperature is very small (0.1–0.2 °C variation per hour) and the dynamics imparted due to this we believe will be very negligible. , Hence a steady state process model for the MSF is considered. However, the variation in the storage tank throughout the day is significant and therefore the dynamic model for the storage tank is considered.…”

Section: Msf Process Modelmentioning

confidence: 99%

Meeting Variable Freshwater Demand by Flexible Design and Operation of the Multistage Flash Desalination Process

Hawaidi

Mujtaba

2011

Ind. Eng. Chem. Res.

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In this work, the design and operation of multistage flash (MSF) desalination processes are optimized and controlled in order to meet variable demands of freshwater with changing seawater temperature throughout the day and throughout the year. On the basis of actual data, the neural network (NN) technique has been used to develop a correlation which can be used for calculating dynamic freshwater demand/consumption profiles at different times of the day and season. A storage tank is linked to the freshwater line of the MSF process which helps avoiding dynamic changes in operating conditions of the process. A steady state process model for the MSF process coupled with a dynamic model for the storage tank is developed which is incorporated into the optimization framework within gPROMS modeling software. For a given design (process configuration), the operation parameters are optimized at discrete time intervals (based on the storage tank level which is monitored dynamically and maintained within a feasible limit) while the total daily cost is minimized.

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Section: Msf Process Modelmentioning

confidence: 99%