Open AccessThermoeconomic Analysis and Multiobjective Optimization of a Solar Desalination Plant
Author(s) -
Hamid Mokhtari,
Mokhtar Bidi,
Mahdi Gholinejad
Publication year - 2014
Publication title -
journal of solar energy
Language(s) - English
Resource type - Journals
eISSN - 2356-7635
pISSN - 2314-6230
DOI - 10.1155/2014/892348
Subject(s) - desalination , process engineering , heat recovery steam generator , heat transfer , multi objective optimization , thermal , nuclear engineering , volumetric flow rate , genetic algorithm , materials science , engineering , mathematics , mechanical engineering , steam turbine , mathematical optimization , thermodynamics , chemistry , physics , biochemistry , membrane
A solar desalination plant consisting of solar parabolic collectors, steam generators, and MED unit was simulated technoeconomically and optimized using multiobjective genetic algorithm. A simulation code was developed using MATLAB language programming. Indirect steam generation using different thermal oils including THERMINOL VP1, THERMINOL66, and THERMINOL59 was also investigated. Objective function consisted of 17 essential parameters such as diameter of heat collector element, collector width, steam generator pinch, approach temperatures, and MED number of effects. Simulation results showed that THERMINOL VP1 had superior properties and produced more desalinated water than other heat transfer fluids. Performance of the plant was analyzed on four characteristic days of the year to show that multiobjective optimization technique can be used to obtain an optimized solution, in which the product flow rate increased, while total investment and O&M costs decreased compared to the base case
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