Numerical simulation of the fouling process

Brahim, Fahmi; Augustin, Wolfgang; Bohnet, Matthias

doi:10.1016/s1290-0729(02)00021-2

Cited by 121 publications

(70 citation statements)

References 4 publications

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“…This can be attributed to the fact that the nucleation period is very short and thus it can hardly be seen. Although Figure 7 was obtained at MSF brine velocity higher than 1.5 m/s, Brahim et al [22] and Zhang et al [27] results were consistent with Hamed and Al-Otaibi's results though their flow velocity was as low as 0.2 m/s. Moreover, though the removal rate was included in their model, their fouling curve looked linear and no major effect of the removal rate on the shape of the fouling curve was observed.…”

Section: Fouling Resistancesupporting

confidence: 55%

“…For the deposition of CaCO 3 , the reaction order is assumed to be of second order reaction as it correspond to the number of ions (Ca 2+ and CO 3 2-) [22]. Due to the difficulty of estimating the concentration of the ions at the solid-liquid surface (C i ), most of the work in the literature assumed that all the species are transported to the surface and thus the surface reaction mechanism is considered to be the main controller of the deposit rate.…”

Section: Deposit Ratementioning

confidence: 99%

“…The term (k.P/k rem .N) is calculated based on Krause's suggestion according to the following equation [22] …”

Section: Removal Ratementioning

confidence: 99%

“…Since the assumed porous material is immersed in the bulk, the conductivity of the fouling layer is estimated based on Brahim et al [22]'s correlation. Here, it is assumed to be the arithmetic average value of thermal conductivity of deposit/water system.…”

Section: Fouling Resistancementioning

confidence: 99%

“…The effect of pH level on the deposition rate was studied using simplified and rigorous models. Based on Brahim's work [22], Zhang et al [27] developed a generic CFD model to predict the fouling behaviour of CaSO 4 . The model avoided the simplification step adopted by Brahim et al [22] by coupling solution domain with fouling layer domain through bi-directional transfer.…”

Section: Introductionmentioning

confidence: 99%

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Dynamic modelling of Heat Exchanger fouling in multistage flash (MSF) desalination

Alsadaie

Mujtaba

2017

Desalination

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Fouling on heat transfer surfaces due to scale formation is the most concerned item in thermal desalination industry. Here, a dynamic fouling model is developed and incorporated into the MSF dynamic process model to predict fouling at high temperature and high velocity. The proposed dynamic model considers the attachment and removal mechanisms in the fouling phenomena with more relaxation of the assumptions such as the density of the fouling layer and salinity of the recycle brine. While calcium sulphate might precipitate at very high temperature, only the crystallization of calcium carbonate and magnesium hydroxide are considered in this work. Though the model is applied in a 24 stages brine recycle MSF plant, only the heat recovery section (21 stages) is considered under this study. The effect of flow velocity and surface temperature are investigated. By including both diffusion and reaction mechanism in the fouling model, the results of the fouling prediction model are in good agreement with most recent studies in the literature. The deposition of magnesium hydroxide increases with the increase in surface temperature and flow velocity while calcium carbonate deposition increases with the increase in the surface temperature and decreases with the increase in the flow velocity.

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Section: Fouling Resistancesupporting

confidence: 55%

Section: Deposit Ratementioning

confidence: 99%

“…The term (k.P/k rem .N) is calculated based on Krause's suggestion according to the following equation [22] …”

Section: Removal Ratementioning

confidence: 99%

Section: Fouling Resistancementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Dynamic modelling of Heat Exchanger fouling in multistage flash (MSF) desalination

Alsadaie

Mujtaba

2017

Desalination

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Advanced Antiscaling Interfacial Materials toward Highly Efficient Heat Energy Transfer

Meng

Wang

2019

Adv Funct Materials

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The energy problem has been a matter of some concern worldwide over the past 20 years. On the opposite side of energy production, energy loss is another crucial problem of current energy due to the low efficiency of heat transfer from scale deposition. However, less attention has been paid on the further development of advanced antiscaling interfacial materials, which may provide promising ways to save energy by reducing scale fouling. Herein, the development of antiscaling strategies is summarized from the basic theories and fabrication methods to antiscaling interfacial materials with potential applications. First, the mechanism of scale formation and the corresponding effect on thermal conductivity are introduced. Second, the typical fabrication approaches of antiscaling interfacial materials are briefly described. Finally, the performance, potential applications, future challenges, and opportunities of the advanced antiscaling interfacial materials are comprehensively discussed.

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Development and Validation of an Unsteady State Numerical Model of Fouling within a Crystalline Systern

Walker

Sheikholeslami

2006

Dev. Chem. Eng. Mineral Process.

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Numerical simulation of the fouling process

Cited by 121 publications

References 4 publications

Dynamic modelling of Heat Exchanger fouling in multistage flash (MSF) desalination

Dynamic modelling of Heat Exchanger fouling in multistage flash (MSF) desalination

Advanced Antiscaling Interfacial Materials toward Highly Efficient Heat Energy Transfer

Development and Validation of an Unsteady State Numerical Model of Fouling within a Crystalline Systern

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