Dynamic Modeling of a Simple Reverse Osmosis Desalination Plant for Advanced Control Purposes

Gambier, Adrián; Krasnik, A.; Badreddin, Essameddin

doi:10.1109/acc.2007.4283019

Cited by 31 publications

(17 citation statements)

References 10 publications

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“…The RO plant (Fig. 4) is decomposed in 5 segments (power generation, pre-treatment, pumping and energy recovery, membrane assembly and post-treatment) using spatial-temporal decomposition technique and is modelled separately for the use of control purpose by Gambier et al (2007). Interactions exist between continuous and discrete sections of the process and hence control model must have similar features.…”

Section: Identificationmentioning

confidence: 99%

“…This method was applied on online desalination process to identify the parameters & predict the ARMAX model. Two reverse osmosis plants using system identification and artificial neural network tools were modelled by Saengrung (2002 Gambier et al (2007). A membrane transport model suitable for the multiple solutes system in RO was developed and simulated for unsteady-state condition by Ahmad et al (2007).…”

Section: Identificationmentioning

confidence: 99%

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Review on modelling and control of desalination system using reverse osmosis

Sobana¹,

Panda²

2011

Rev Environ Sci Biotechnol

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Dissolved salts in seawater or brackish water are reduced to a potable level through separation techniques, like, distillation, multiple effect vapor compression, evaporation, or by membrane processes such as electro-dialysis reversal, nanofiltration, and reverse osmosis (RO). RO is the most widely used desalination process. Recent advances in RO technology has led to more efficient separation and now is the most cost effective process to operate. The performance of the reverse osmosis process is dependent on concentration of dissolved solids in the feed-water, feed-water pressure, and the membrane strength to withstand system pressure, membrane solute rejection, membrane fouling characteristics, and the required permeate solute concentration. RO is a promising tool that uses cellulose acetate (or) polyamide membrane and is widely chosen as the cost of production is reduced by the use of energy efficient and process control techniques. This paper presents a review on modelling, identification of parameters from single input-outputs and multi input/ output lumped systems, dynamic modelling and control of desalination systems in the past twenty years by collecting more than 60 literatures.

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Section: Identificationmentioning

confidence: 99%

Section: Identificationmentioning

confidence: 99%

Review on modelling and control of desalination system using reverse osmosis

Sobana¹,

Panda²

2011

Rev Environ Sci Biotechnol

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“…The general flowsheet of SWRO which includes 4 sections can be found in the specialized literature [24][25] (as shown in Fig.1). Generally, salty feed water is firstly pre-treated to avoid membrane fouling, and then sent through the membrane modules (permeates) by high-pressure pumps.…”

Section: Description Of Swro Flowsheetmentioning

confidence: 99%

Operational optimization of SWRO process with the consideration of load fluctuation and electricity price

et al. 2015

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In this work, the operational optimization of seawater reverse osmosis (SWRO) process is studied to reduce the energy cost. Effects of load fluctuation and electricity price change were considered, and storage tanks were used to adjust the water production and balance the freshwater demand. Based on comprehensive first-principles, a detailed and accurate mathematical model with spiral-wound membranes, water storage tanks and water demands is developed and validated by plant data and the ROSA9.0 simulation package. The operational optimization problem with the form of DAEs was solved with simultaneous approach and IPOPT solver. Computing results of real SWRO plant were then investigated. It is shown that, compared with conventional operation and operation with constant water level, about 27.88% and 24.17%of energy cost, respectively, can be saved by optimizing both feed flowrate and feed pressure within normal range. Optimal profiles of key performance states were analyzed and future work for operational cost saving are described.

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“…(For a short review of the process see Fritzmann et al, 2007). Hence, RO plants need less energy, investment cost, space requirements and maintenance than other desalination processes (Gambier et al, 2007), so they are being extensively implanted in fresh-water depleted areas (Baker, 2004;Wilf, 2007).…”

Section: Introductionmentioning

confidence: 99%

“…Thus, it is crucial to have dynamic simulation tools available to be able to apply advanced techniques of model-based control. Some efforts in this direction have been carried out by Alatiqi (1999) and Gambier et al (2007).…”

Section: Introductionmentioning

confidence: 99%

Modelling for dynamic simulation of pretreatment in Reverse Osmosis plants

Syafiie

Tadeo

Palacin³

et al. 2008

2008 IEEE International Conference on Industrial Engineering and Engineering Management

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The development of mathematical dynamical models of the pretreatment process in Reverse Osmosis plants is presented. The objective is to use the models for testing and comparison of control strategies in Reverse Osmosis plants. Thus, these models have been developed to implement them using off-the-shelf software (EcoSimPro), so that advanced control algorithms can be easily tested. During modeling, the parameters are selected to be simple to obtain from available plant measurements.

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Dynamic Modeling of a Simple Reverse Osmosis Desalination Plant for Advanced Control Purposes

Cited by 31 publications

References 10 publications

Review on modelling and control of desalination system using reverse osmosis

Review on modelling and control of desalination system using reverse osmosis

Operational optimization of SWRO process with the consideration of load fluctuation and electricity price

Modelling for dynamic simulation of pretreatment in Reverse Osmosis plants

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