The effect of increased top brine temperature on the performance and design of OT-MSF using a case study

Roy, Yagnaseni; Thiel, Gregory P.; Antar, Mohamed A.; Lienhard, John H.

doi:10.1016/j.desal.2017.02.015

Cited by 33 publications

(17 citation statements)

References 25 publications

(23 reference statements)

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“…Although surpassed by reverse osmosis in terms of global installed capacity, thermal desalination plants are still dominant in the Middle East, where they are often integrated with power plants and are known to have long lifetimes of up to 30 years [8,9]. Thermal desalination technologies such as MED and MSF rely on the principle of evaporation, which is the creation of a hot surface with heating steam, which then condenses on one side of the surface, allowing vapor to form on the other side [10].…”

Section: Thermal Desalinationmentioning

confidence: 99%

“…Effect of TBT on freshwater production (solid black lines) and cooling seawater temperature (dotted blue lines)[80] Roy et al similarly developed a mathematical model to investigate the effect of increasing TBT on the performance of an OT-MSF system, including the required specific area[8]. Unlike Hanshik's work in which a fixed number of stages was studied, they considered a fixed inter-stage temperature drop ΔT and varied the number of stages to increase the TBT.…”

mentioning

confidence: 99%

“…Effect of TBT on specific area and performance ratio in a once-through multistage flash system[8] Mabrouk et al demonstrated a 25% reduction in heat transfer surface area by using long tube evaporator bundles as compared to traditional brine recycle and cross tube bundle configurations[55]. In a long tube configuration, the tubes are parallel to the direction of brine flow, whereas in a cross tube configuration, the tubes are perpendicular to the direction of brine flow in the stages(Figure 14).…”

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confidence: 99%

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Mathematical and optimization modelling in desalination: State-of-the-art and future direction

et al. 2019

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The growing water demand across the world necessitates the need for new and improved processes as well as for a better understanding of existing processes. This level of understanding includes predicting system performance in scenarios that cannot always be evaluated experimentally. Mathematical modelling is a crucial component of designing new and improved engineering processes. Through mathematically modelling real life systems, we gain a deeper understanding of processes while being able to predict performance more effectively. Advances in computational capacity and the ease of assessing systems allow researchers to study the feasibility of various systems. Mathematical modelling studies enable optimization performance parameters while minimizing energy requirements and, as such, have been an active area of research in desalination. In this review, the most recent developments in mathematical and optimization modelling in desalination are discussed with respect to transport phenomena, energy consumption, fouling predictions, and the integration of multiple scaling evolution on heat transfer surfaces has been reviewed. Similarly, developments in optimization of novel reverse osmosis (RO) configurations have been analyzed from an energy consumption perspective. Transport models for membranebased desalination processes, including relatively less understood processes such as nanofiltration and forward osmosis are presented, with recent modifications to allow for different solutes and solutions. Mathematical modelling of hybrid systems integrated with RO has also been reviewed. A survey of the literature shows that mathematical and optimization modelling of desalination processes is an exciting area for researchers in which future scholarship includes coupling of renewable energy systems with desalination technologies, as well as more advanced descriptions of fouling evolution other than that of cake filtration in membrane-based processes.

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Section: Thermal Desalinationmentioning

confidence: 99%

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confidence: 99%

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confidence: 99%

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Mathematical and optimization modelling in desalination: State-of-the-art and future direction

et al. 2019

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“…Several studies in the literature, such as the works of Shah et al [40] and Deon et al [41], have successfully implemented a similar model, noting the agreement between experiments and simulations. Furthermore, Roy et al successfully implemented Nanofiltran to predict the performance of NF flat-sheet and spiral-wound configurations at the system-level [29], and to study the effect of temperature on ion transport [10]. Similarly, Epsztein et al [42] incorporated Nanofiltran in their work investigating the role of ionic charge density on Donnan exclusion.…”

Section: Membrane-transport Model: Model Selectionmentioning

confidence: 99%

“…More recent works from Roy et al [10,11] explore the effect of temperature on NF pretreatment and scale prevention in thermal desalination.…”

Section: Introductionmentioning

confidence: 99%

Design and Modeling of Novel Low-Pressure Nanofiltration Hollow Fiber Modules for Water Softening and Desalination Pretreatment

Labban¹

2018

Preprint

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Given its high surface area to volume ratio and desirable mass transfer characteristics, the hollow fibermodule configuration has been central to the development of RO and UF technologies over the past fivedecades. Recent studies have demonstrated the development of a novel class of low-pressure nanofiltration(NF) hollow fiber membranes with great promise for scale-up implementation. Further progress on large-scaledeployment, however, has been restrained by the lack of an accurate predictive model, to guide module designand operation. Earlier models targeting hollow fiber modules are only suitable for RO or UF. In this work,we propose a new modeling approach suitable for NF based on the implementation of mass and momentumbalances, coupled with a validated membrane transport model based on the extended Nernst-Planck equationto predict module performance at the system-level. Modeling results are validated with respect to syntheticseawater experiments reported in an earlier work. A preliminary module design is proposed, and parametricstudies are employed to investigate the effect of varying key system parameters and elucidate the tradeoffsavailable during design. The model has significant implications for low-pressure nanofiltration, as well ashollow fiber NF module design and operation.

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A parametric simulation on the effect of the rejected brine temperature on the performance of multieffect distillation with thermal vapour compression desalination process and its environmental impacts

Buabbas

Al‐Obaidi

Mujtaba

2020

Asia-Pacific J Chem Eng

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Multieffect distillation with thermal vapour compression (MED-TVC) is one of the most attractive thermal desalination technologies for the production of freshwater. Several mathematical models were presented in the open literature to analyse the steady-state performance of such process. However, these models have several limitations and assumptions. Therefore, there remains the challenge of having a reliable model to accurately predict the performance of the MED process. Thus, this research attempts to resolve this challenge by rectifying the shortcomings of the models found in the literature and create a new one. The robustness of the developed model is evaluated against the actual data of Umm Al-Nar commercial plant situated in UAE. In seawater desalinisation, a large amount of high-salinity stream (brine) is rejected back into the sea. This paper investigates the influence of the rejected (exit) brine temperature on the system performance parameters of MED-TVC process. Specifically, these parameters are considered as total heat consumption, gain output ratio, freshwater production, heat transfer area and performance ratio. Also, the particular parameters of TVC section of the entrainment ratio, compression ratio and expansion ratio are also addressed. Moreover, a critical evaluation of the influence of the rejected brine temperature on the seawater is also embedded.

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The effect of increased top brine temperature on the performance and design of OT-MSF using a case study

Cited by 33 publications

References 25 publications

Mathematical and optimization modelling in desalination: State-of-the-art and future direction

Mathematical and optimization modelling in desalination: State-of-the-art and future direction

Design and Modeling of Novel Low-Pressure Nanofiltration Hollow Fiber Modules for Water Softening and Desalination Pretreatment

A parametric simulation on the effect of the rejected brine temperature on the performance of multieffect distillation with thermal vapour compression desalination process and its environmental impacts

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