Review on modelling and control of desalination system using reverse osmosis

Sobana, S.; Panda, Rames C.

doi:10.1007/s11157-011-9233-z

Cited by 23 publications

(17 citation statements)

References 50 publications

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“…Moreover, some attempts to review these models have been made, for example, by Soltanieh and Gill [1], Williams [2], and Sobana and Panda [3]. But in mentioned works even in relatively new [3], the primary attention is dedicated to the conventional models developed in the 1960s and 1970s, and modern approaches to the simulation of pressure-driven membrane processes are not regarded enough. Besides, these reviews have been dedicated only to reverse osmosis when the attention to the other processes has been lower.…”

Section: Introductionmentioning

confidence: 99%

Modern trends in the mathematical simulation of pressure-driven membrane processes

Huliienko

Korniienko

Gatilov³

2020

JES

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The presented article is an attempt to evaluate the progress in the development of the mathematical simulation of the pressure-driven membrane processes. It was considered more than 170 articles devoted to the simulation of reverse osmosis, nanofiltration, ultrafiltration, and microfiltration and the others published between 2000 and 2010 years. Besides the conventional approaches, which include the irreversible thermodynamics, diffusion and pore flow (and models which consider the membrane surface charge for nanofiltration process), the application of the methods the computational fluid dynamics, artificial neural networks, optimization, and economic analysis have been considered. The main trends in this field have been pointed out, and the areas of using approaches under consideration have been determined. The technological problems which have been solved using the mentioned approaches have also been considered. Although the question of the concentration polarization has not been considered separately, it was defined that, in many cases, the sufficiently accurate model cannot be designed without considering this phenomenon. The findings allow evaluating more thoroughly the development of the simulation of pressure-driven membrane processes. Moreover, the review allows choosing the strategy of the simulation of the considered processes. Keywords: membrane, simulation, model, reverse osmosis nanofiltration, ultrafiltration, microfiltration.

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Section: Introductionmentioning

confidence: 99%

Modern trends in the mathematical simulation of pressure-driven membrane processes

Huliienko

Korniienko

Gatilov³

2020

JES

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“…Usually, desalination processes can be categorized into two types: membrane processes and thermal processes. Membrane desalination processes include electro-dialysis (ED) [2], reverse electrodialysis (RED) [3], capacitive deionization [4], reverse osmosis (RO) [5,6], and membrane distillation [7]. Thermal desalination processes, based on phase change processes, include multi-stage flash distillation (MSF) [8], multi-effect distillation (MED) [9,10], humidification dehumidification [11], and vapor compression distillation (VCD).…”

Section: Introductionmentioning

confidence: 99%

Photothermal materials for efficient solar powered steam generation

Liu

Lai

Zhao

et al. 2019

Front. Chem. Sci. Eng.

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Solar powered steam generation is an emerging area in the field of energy harvest and sustainable technologies. The nano-structured photothermal materials are able to harvest energy from the full solar spectrum and convert it to heat with high efficiency. Moreover, the materials and structures for heat management as well as the mass transportation are also brought to the forefront. Several groups have reported their materials and structures as solutions for high performance devices, a few creatively coupled other physical fields with solar energy to achieve even better results. This paper provides a systematic review on the recent developments in photothermal nanomaterial discovery, material selection, structural design and mass/heat management, as well as their applications in seawater desalination and fresh water production from waste water with free solar energy. It also discusses current technical challenges and likely future developments. This article will help to stimulate novel ideas and new designs for the photothermal materials, towards efficient, low cost practical solar-driven clean water production.

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“…Seawater RO desalination plants need an effective controller to increase their performance, as well as to keep their operations close to the optimum conditions, which results in higher efficiency, along with extending the lifetime of their membranes [27][28][29]. Nevertheless, the effective control of these plants is not a simple assignment and has several challenges, among which are: (a) the dynamic processes in the membrane vessels are complex and cannot easily be modelled; (b) for the operation of the high-pressure pump, a large amount of energy is required; (c) the feed seawater features variations can considerably change the performance of the RO membrane units, which leads to lower water production, deficient system operations, membranes fouling or irreversible membranes damages; (d) the high-pressure setpoint has to be increased several times a day for compensation of the membranes fouling effect and to bring the permeate flowrate back to its operation value, which usually is done manually by plant operators; (e) continuous monitoring of membranes fouling is required to determine the appropriate time for membranes flushing (cleaning in place by chemical detergents is applied when membrane flushing is not sufficient to recover the good membranes performance); and (f) the operators of these plants are trained by conventional methods that only enable them to maneuver the infrastructures and not to control and manage these plants efficiently [30][31][32]. In addition, these plants have uncertainties, multivariable coupling, load disturbances, and dynamics dependent on the operation conditions, since a few of their parameters, such as the membrane permeability, are time-varying due to membranes fouling [33][34][35].…”

Section: Introductionmentioning

confidence: 99%

Real-Time Implementation of an Expert Model Predictive Controller in a Pilot-Scale Reverse Osmosis Plant for Brackish and Seawater Desalination

et al. 2019

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This article addresses the design and real-time implementation of an expert model predictive controller (Expert MPC) for the control of the brackish and seawater desalination process in a pilot-scale reverse osmosis (RO) plant. This pilot-scale plant is used in order to obtain the optimal operation conditions of the RO desalination process through the implementation of different control strategies, as well as in the training of operators in the new control and management technologies. A dynamical mathematical model of this plant has been developed based on the available field data and system identification procedures. Predictions of the obtained model were in good agreement with the available field data. The designed Expert MPC is distinguished by having a plant identification block and an expert system. The expert system, using a rule-based approach and the evolution of the plant variables, can modify the plant identification block, the plant prediction model, and/or the optimizer in order to improve the performance, robustness and operational safety of the overall control system. The real-time comparison results of the designed Expert MPC and a well-designed model predictive controller (MPC) show that the proposed Expert MPC has a significantly better performance and, therefore, higher accuracy and robustness.

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Review on modelling and control of desalination system using reverse osmosis

Cited by 23 publications

References 50 publications

Modern trends in the mathematical simulation of pressure-driven membrane processes

Modern trends in the mathematical simulation of pressure-driven membrane processes

Photothermal materials for efficient solar powered steam generation

Real-Time Implementation of an Expert Model Predictive Controller in a Pilot-Scale Reverse Osmosis Plant for Brackish and Seawater Desalination

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