2020
DOI: 10.1016/j.enconman.2019.112337
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Multi-effect distillation plants for small-scale seawater desalination: thermodynamic and economic improvement

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Cited by 74 publications
(14 citation statements)
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“…A time step of 6 min was used for the solution of the differential equations to have a more accurate estimation of the temperature profiles in the storage. For the MED plant, an Aspen Plus [15] model was developed as in [21], and the required thermal power and the produced amount of water were imported in the Matlab model as a look-up table.…”
Section: Methodsmentioning
confidence: 99%
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“…A time step of 6 min was used for the solution of the differential equations to have a more accurate estimation of the temperature profiles in the storage. For the MED plant, an Aspen Plus [15] model was developed as in [21], and the required thermal power and the produced amount of water were imported in the Matlab model as a look-up table.…”
Section: Methodsmentioning
confidence: 99%
“…A maximum salt concentration of 95% of the solubility was imposed to the brine at the exit of each effect as in [21]. In this way the recovery ratio (RR) was maximized as shown in [21]. This condition was achieved by imposing different mass flow rates of feed seawater in each effect.…”
Section: Of 16mentioning
confidence: 99%
“…On the second topic, MED process optimization has been focused on the preheating of water entering the system and evaporation by spraying. The configurations that implemented seawater preheating increased the performance ratio by up to 10% [51], even recording an average daily performance ratio of 2.5 and an average specific thermal energy consumption of 831 kJ/Kg, using thermal storage tanks and solar collectors [52]. According to the conducted simulations, with the use of the Spray Evaporation Tank, high evaporation efficiencies can be achieved if the required injection/spray parameters, the correct ratio between the water droplet size, and the fall distance are used in conjunction with the temperature of the warm air vapor [53,54].…”
Section: Multi Effect Distillation (Med)mentioning
confidence: 99%
“…In the MED process optimization, numerical algorithms have been used, through computational mathematical models in steady state [43,59,72,73,77] [40,[64][65][66][67][68][69]. On the other hand, several authors suggest increasing the number of stages or effects in MED plants between 16 and 17 to optimize the process [36,39,45] and other investigations recommended preheating the seawater before feeding the MED [35,37,81]. Several investigations have been carried out in the Solar Platform of Almeria, attached to the Center for Energy, Environmental and Technological Research (CIEMAT) of Spain, focused on the optimization of MED processes, through mathematical modeling with data from experimental prototypes [43, 72-74, 78, 79], heat recovery and exergy [44,50,51,57,63,75]; and by hybridization with thermal vapor compression technologies [69].…”
Section: Thu Et Al 2013 [80]mentioning
confidence: 99%