Exergoeconomic optimization of a forward feed multi-effect desalination system with and without energy recovery

Abid, Asad, Ahmad Jamil, Muhammad, Sabah, Noor us, Farooq, Muhammad Umer, Yaqoob, Haseeb, Khan, Liaquat Ali and Shahzad, Muhammad Wakil (2020) Exergoeconomic optimization of a forward feed multi-effect desalination system with and without energy recovery. Desalination, 499. p. 114808. ISSN 0011-9164

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Official URL: https://doi.org/10.1016/j.desal.2020.114808


The escalating freshwater demand is stimulating the researchers to optimize the performance of desalination technologies. The current study presents the exergoeconomic optimization of a forward feed multi-effect desalination (FF-MED) system under two configurations i.e., conventional MED and MED with energy recovery (MED-ER). A detailed numerical model concerning energy, exergy, and a component-based exergoeconomic analysis is employed to estimate the energy consumption, exergy destruction, and water production cost. Thereafter, the FF-MED-ER system is optimized using a Genetic Algorithm for four different objective functions i.e., maximum gain output ratio (GOR), and minimum specific energy consumption (SEC), exergy destruction, and water production cost. The constraint variables included steam temperature, brine salinity, and the last effect brine temperature. The analysis showed that the incorporation of an energy recovery section increased GOR by 17.9% and decreased SEC and water production cost by 14%, and 10.5%, respectively. Moreover, the optimization improved GOR by 9.26%, decreased SEC by 12.86%, exergy destruction by 12.59%, and the water production cost by 8.25% compared to the standard nonoptimal system.

Item Type: Article
Additional Information: Funding information: The authors acknowledge the support provided by the Department of Mechanical Engineering Khwaja Fareed University of Engineering, and Information Technology (KFUEIT), Rahim Yar Khan, and Mechanical and Construction Engineering Department of Northumbria University, Newcastle Upon Tyne, UK.
Uncontrolled Keywords: Multi-effect desalination, Genetic algorithm, Exergoeconomic analysis, Cost flow method, Optimization
Subjects: H800 Chemical, Process and Energy Engineering
Department: Faculties > Engineering and Environment > Mechanical and Construction Engineering
Depositing User: John Coen
Date Deposited: 10 Dec 2020 08:33
Last Modified: 12 May 2023 13:45
URI: https://nrl.northumbria.ac.uk/id/eprint/44958

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