Thermal analysis of ME—TVC+MEE desalination systems

Alasfour, F.N.; Darwish, M.A.; Amer, A.O. Bin

doi:10.1016/j.desal.2004.08.039

Cited by 145 publications

(53 citation statements)

References 10 publications

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“…The MED process is characterized by lower energy consumption (≈ 2 kWh/m 3 ) compared to the MSF process (≈ 4 kWh/m 3 ) since recirculating large quantities of brine is not required. Additionally, MED provides higher overall heat transfer coe cients by utilizing primarily latent-heat transfer and avoiding the lower speci c heat transfer surface areas associated with sensible heat transfer found in MSF [1]. The ability to operate at low temperature and use low grade heat from power station turbines as the primary heat source for MED yield very low speci c energy costs for seawater desalination and allows the use of lower grade materials for heat transfer tubes (e.g., aluminum alloys) and the evaporator body (e.g., carbon steel epoxy coated shells) [2].…”

Section: Introductionmentioning

confidence: 99%

An improved model for multiple effect distillation

Mistry

Antar

Lienhard

2013

Desalination and Water Treatment

100

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Increasing global demand for fresh water is driving research and development of advanced desalination technologies. As a result, a detailed model of multiple e ect distillation (MED) is developed that is exible, simple to implement, and suitable for use in optimization of water and power cogeneration systems. The MED system is modeled in a modular method in which each of the subcomponents is modeled individually and then instantiated as necessary in order to piece together the complete plant model. Modular development allows for studying various MED con gurations (such as forward feed, parallel feed, etc.) with minimal code duplication. Through a parametric analysis, it is found that the present model compares very well with the simple model provided by El-Sayed and Silver while providing substantially more detail in regards to the various temperature pro les within the MED system. Further, the model is easier to implement than the detailed El-Dessouky model while relying on fewer assumptions.The increased detail of the model allows for proper sensitivities to key variables related to input, operating, and design conditions necessary for use in a cogeneration or hybrid system optimization process.

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Section: Introductionmentioning

confidence: 99%

An improved model for multiple effect distillation

Mistry

Antar

Lienhard

2013

Desalination and Water Treatment

100

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“…The cooling and sea seawater temperatures are 30 o C and 40 °C respectively. The main variables that affect the gain output ratio for a particular number of effects and which can be modified by optimization process are top brine temperature, entrainment ratio and temperature difference per effect (Alasfour et al, 2005). A set of lower and upper values of those variables were selected as constraints from literatures.…”

Section: Optimization Approachesmentioning

confidence: 99%

“…(Alasfour et al, 2005) developed mathematical models for three configurations of a ME-TVC desalination system using energy and exergy analysis. A parametric study was also performed to investigate the impacts of different parameters on the system performance.…”

Section: Literature Reviewmentioning

confidence: 99%

New Trend in the Development of ME-TVC Desalination System

Amer¹

2011

Desalination, Trends and Technologies

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“…These losses can be improved by using a different technology for the higher temperatures that would otherwise be left unused. For example, thermal vapor compression (TVC) is often paired with MED, since TVC can handle the high temperatures MED cannot [20].…”

Section: Unused Temperature Reduction Of Waste Heat Sourcesmentioning

confidence: 99%

Entropy Generation of Desalination Powered by Variable Temperature Waste Heat

Warsinger

Mistry

Nayar

et al. 2015

Entropy

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Powering desalination by waste heat is often proposed to mitigate energy consumption and environmental impact; however, thorough technology comparisons are lacking in the literature. This work numerically models the efficiency of six representative desalination technologies powered by waste heat at 50, 70, 90, and 120• C, where applicable. Entropy generation and Second Law efficiency analysis are applied for the systems and their components. The technologies considered are thermal desalination by multistage flash (MSF), multiple effect distillation (MED), multistage vacuum membrane distillation (MSVMD), humidification-dehumidification (HDH), and organic Rankine cycles (ORCs) paired with mechanical technologies of reverse osmosis (RO) and mechanical vapor compression (MVC). The most efficient technology was RO, followed by MED. Performances among MSF, MSVMD, and MVC were similar but the relative performance varied with waste heat temperature or system size. Entropy generation in thermal technologies increases at lower waste heat temperatures largely in the feed or brine portions of the various heat exchangers used. This occurs largely because lower temperatures reduce recovery, increasing the relative flow rates of feed and brine. However, HDH (without extractions) had the reverse trend, only being competitive at lower temperatures. For the mechanical technologies, the energy efficiency only varies with temperature because of the significant losses from the ORC.Entropy 2015, 17 7531

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Thermal analysis of ME—TVC+MEE desalination systems

Cited by 145 publications

References 10 publications

An improved model for multiple effect distillation

An improved model for multiple effect distillation

New Trend in the Development of ME-TVC Desalination System

Entropy Generation of Desalination Powered by Variable Temperature Waste Heat

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