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

Abid, Asad, Jamil, Muhammad Ahmad, 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

[img] Text
Revised manuscript_Marked.pdf - Accepted Version
Restricted to Repository staff only until 7 November 2021.
Available under License Creative Commons Attribution Non-commercial No Derivatives 4.0.

Download (1MB) | Request a copy
Official URL: https://doi.org/10.1016/j.desal.2020.114808

Abstract

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
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: 10 Dec 2020 08:45
URI: http://nrl.northumbria.ac.uk/id/eprint/44958

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics