Energy, exergy and exergoeconomic (3E) analysis and multi-objective optimization of a closed-circuit desalination system with side-conduit

被引:25
作者
Kowsari, Soheil [1 ]
Deymi-Dashtebayaz, Mahdi [1 ]
机构
[1] Hakim Sabzevari Univ, Fac Mech Engn, Sabzevar, Iran
关键词
Closed-circuit desalination (CCD); Reverse osmosis (RO); Energy-exergy-exergoeconomic analysis; Multi-objective optimization; REVERSE-OSMOSIS DESALINATION; WATER DESALINATION; HIGH RECOVERY; BRACKISH-WATER; WASTE HEAT; PLUG-FLOW; SWRO-CCD; SERIES; RO; BATCH;
D O I
10.1016/j.desal.2021.115154
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Membrane desalination technologies such as reverse osmosis (RO) are being widely used around the world to deal with the growing freshwater shortage. In addition, the use of new reverse osmosis technologies that improve the performance of traditional ones, has received more attention. The main problem in desalination plants is the high total specific energy consumption as well as high capital investment, maintenance and repair costs. In this study, the performance of a new closed-circuit reverse osmosis (CCRO) desalination system with side-conduit as a replacement for energy recovery device, is investigated based on energy, exergy and exergoeconomic (3E) analysis. 3E analysis is performed based on four important factors including 1) concentration of inlet feed water 2) number of cycles 3) osmotic pressure 4) mass flow rate of feed water. Then, using the output data obtained from 3E analysis, the optimal points for six key parameters of exergy efficiency, net driving pressure (NDP), total unit cost product (SUCP), mass flow rate of permeate, recovery ratio and specific energy are determined through multi-objective optimization. The simulation results show that in the proposed system, by increasing the number of cycles, the recovery ratio increases while the system costs also increase due to increase in pressure and concentration of inlet feed. It is found that the optimal recovery ratio of 64.29% is obtained for 9th cycle and inlet feed concentration of 6.95% and the optimal specific energy consumption of 2.5 kWh/m3 is obtained for 7th cycle and inlet feed concentration of 6.07%.
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页数:13
相关论文
共 49 条
[1]   Multi-objective optimization and exergoeconomic analysis of a continuous solar-driven system with PCM for power, cooling and freshwater production [J].
Abbasi, Hamid Reza ;
Pourrahmani, Hossein .
ENERGY CONVERSION AND MANAGEMENT, 2020, 211
[2]   Multi-objective design optimization of a multi-generation energy system based on geothermal and solar energy [J].
Alirahmi, Seyed Mojtaba ;
Dabbagh, Sajjad Rahmani ;
Ahmadi, Pouria ;
Wongwises, Somchai .
ENERGY CONVERSION AND MANAGEMENT, 2020, 205
[3]   A techno-economic review of multi effect desalination systems integrated with different solar thermal sources [J].
Askari, Ighball Baniasad ;
Ameri, Mehran .
APPLIED THERMAL ENGINEERING, 2021, 185
[4]   Forward osmosis and pressure retarded osmosis process modeling for integration with seawater reverse osmosis desalination [J].
Binger, Zachary M. ;
Achilli, Andrea .
DESALINATION, 2020, 491
[5]   A perspective on reverse osmosis water desalination: Quest for sustainability [J].
Cohen, Yoram ;
Semiat, Raphael ;
Rahardianto, Anditya .
AICHE JOURNAL, 2017, 63 (06) :1771-1784
[6]   Using the potential of energy losses in gas pressure reduction stations for producing power and fresh water [J].
Deymi-Dashtebayaz, Mahdi ;
Dadpour, Daryoush ;
Khadem, Javad .
DESALINATION, 2021, 497 (497)
[7]   Multi objective optimization of using the surplus low pressure steam from natural gas refinery in the thermal desalination process [J].
Deymi-Dashtebayaz, Mahdi ;
Tayyeban, Edris .
JOURNAL OF CLEANER PRODUCTION, 2019, 238
[8]  
Deymi-Dashtebayaz M, 2019, INT J EXERGY, V30, P139
[9]   Thermohydraulic sensitivity analysis and multi-objective optimization of Fe3O4/H2O nanofluid flow inside U-bend heat exchangers with longitudinal strip inserts [J].
Ebrahimi-Moghadam, Amir ;
Kowsari, Soheil ;
Farhadi, Faezeh ;
Deymi-Dashtebayaz, Mandi .
APPLIED THERMAL ENGINEERING, 2020, 164
[10]  
Efraty A., US Patent, Patent No. [7,628,921, 7628921]