Dynamic response of multi-effect evaporators

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

doi:10.1016/s0011-9164(98)00011-3

Cited by 49 publications

(11 citation statements)

References 6 publications

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“…The first dynamic model of MED system was developed by Aly and Marwan in Reference [28], based on mass, energy, and salt balance correlations for each stage, to study the transient behavior, including start-up, shutdown, troubleshooting (the cause of disorders), and load changes. The overall heat transfer coefficient was presumed to vary linearly with temperature.…”

Section: Dynamic Modeling Of Med Systemmentioning

confidence: 99%

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Scope and Limitations of the Mathematical Models Developed for the Forward Feed Multi-Effect Distillation Process—A Review

et al. 2020

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Desalination has become one of the obvious solutions for the global water crisis due to affording high-quality water from seawater and brackish water resources. As a result, there are continuing efforts being made to improve desalination technologies, especially the one producing high-quantity freshwater, i.e., thermal desalination. This improvement must be accomplished via enhancement of process design through optimization which is implicitly dependent on providing a generic process model. Due to the scarcity of a comprehensive review paper for modeling multi-effect distillation (MED) process, this topic is becoming more important. Therefore, this paper intends to capture the evolution of modeling the forward feed MED (most common type) and shed a light on its branches of steady-state and dynamic modeling. The maturity of the models developed for MED will be thoroughly reviewed to clarify the general efforts made highlighting the advantages and disadvantages. Depending on the outputs of this review, the requirements of process development and emerging challengeable matters of modeling will be specified. This, in turn, would afford a possible improvement strategy to gain a reliable and sustainable thermal desalination process.

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Section: Dynamic Modeling Of Med Systemmentioning

confidence: 99%

“…The exergy analysis was not been analyzed for various compartment of MED process. 28 Khalid at el (2018)…”

mentioning

confidence: 99%

Scope and Limitations of the Mathematical Models Developed for the Forward Feed Multi-Effect Distillation Process—A Review

et al. 2020

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“…Tonelli et al [6] presented an open-loop dynamic response model of triple effect evaporatorsfor apple juice concentrators with backward feed configuration. Kumar et al [7] modeled transient characteristics of mixed feed MEEsystem for paper industry based on the work in [8]. Their results showthat the effects temperature has a faster response compared to the solid concentration.…”

Section: Introductionmentioning

confidence: 99%

“…Their results showthat the effects temperature has a faster response compared to the solid concentration. The dynamic behavior of four effects parallel/cross MEDsystems was done by Aly and Marwan [8] which allowed the study ofsystem start-up, shutdown and load changes using lumped model ofmass, energy and salt balance equations. El-Nashar and Qamhiyeh [9].…”

Section: Introductionmentioning

confidence: 99%

Enhancement of Feed Forward Multi Effect Evaporator Performance for Water Desalination Using PI Control

El.Hakim¹,

Abouelsoud

Abobeah

et al. 2020

Journal of Advanced Engineering Trends

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“…In that paper, the model includes the distillation unit, the flat-plat collectors and the wind system. Regarding dynamic models, the literature about multi-effect distillation systems is scarce [4,8]. The innovation of the present paper is that the dynamic model has been developed with the object-oriented Modelica language using the Dymola tool and the Modelica.Thermal library.…”

Section: Introductionmentioning

confidence: 99%

Dynamic modeling and simulation of a multi-effect distillation plant

Roca¹,

Yebra²,

Berenguel³

et al. 2012

Linköping Electronic Conference Proceedings

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This paper describes a model which simulates the dynamics of a multi-effect distillation system in different operating conditions. It has been designed to improve the operation of the process and develop a control strategy which optimizes the distillate production. The physical models are based on conservation equations of mass and energy. They also include experimental correlations for heat transfer coefficients. Conservation laws are applied in different components, such as the heater, the effects and the preheaters. The results of the mathematical model simulation of the whole process show promising outcomes.

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Dynamic response of multi-effect evaporators

Cited by 49 publications

References 6 publications

Scope and Limitations of the Mathematical Models Developed for the Forward Feed Multi-Effect Distillation Process—A Review

Scope and Limitations of the Mathematical Models Developed for the Forward Feed Multi-Effect Distillation Process—A Review

Enhancement of Feed Forward Multi Effect Evaporator Performance for Water Desalination Using PI Control

Dynamic modeling and simulation of a multi-effect distillation plant

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