TY - JOUR
T1 - Exergoeconomic optimization of a forward feed multi-effect desalination system with and without energy recovery
AU - Abid, Asad
AU - Jamil, Muhammad Ahmad
AU - Sabah, Noor us
AU - Farooq, Muhammad Umer
AU - Yaqoob, Haseeb
AU - Khan, Liaquat Ali
AU - Shahzad, Muhammad Wakil
N1 - 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.
PY - 2021/2/1
Y1 - 2021/2/1
N2 - 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.
AB - 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.
KW - Cost flow method
KW - Exergoeconomic analysis
KW - Genetic algorithm
KW - Multi-effect desalination
KW - Optimization
UR - http://www.scopus.com/inward/record.url?scp=85095713080&partnerID=8YFLogxK
U2 - 10.1016/j.desal.2020.114808
DO - 10.1016/j.desal.2020.114808
M3 - Article
AN - SCOPUS:85095713080
SN - 0011-9164
VL - 499
SP - 1
EP - 14
JO - Desalination
JF - Desalination
M1 - 114808
ER -
