IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v312y2024ics0360544224034807.html
   My bibliography  Save this article

Multi-objective optimization and exergoeconomic analysis of a novel solar desalination system with absorption cooling

Author

Listed:
  • Mahmoodnezhad, Motahare
  • Abbas Nejad, Ali
  • Ahmadi, Mohammad Hossein

Abstract

This paper presents a novel design for a solar-powered desalination system utilizing a single-effect absorption refrigeration cycle with a flat-plate solar collector. The NH3-H2O working fluid pair in the refrigeration subsystem produces chilled water while the rejected heat from the condenser drives a humidification-dehumidification (HDH) subsystem for freshwater generation. This cycle has been analyzed thermodynamically and exergetically to understand its key performance parameters. Furthermore, for a detailed examination and optimization, an exergoeconomic analysis was also conducted. Design parameters for this study include the tilt angle of the solar collector, Volume fraction of nanoparticles in the CuO nanofluid, Solar collector area, Base fluid mass flow rate in the collector, Mass flow rate of the strong solution, Absorber and condenser temperatures, Mass ratio and Humidifier effectiveness. The Objective functions used to evaluate the system, performance are the Cooling effect of performance (COP), Energy performance (EP), Exergy efficiency (μExe), and the Total product cost rate of the system (Ċp,Tot). The genetic algorithm optimization is employed to find the best system performance using two sets of three objective functions. The effectiveness of multi-objective optimization using LINMAP, TOPSIS, and Shannon Entropy methods is demonstrated. LINMAP and TOPSIS consistently achieved improvements in COP (32–42 %), exergy efficiency (33–48 %), and reduced total cost (89–90 %) compared to the base point, while Shannon Entropy offered slightly lower gains. These methods consistently identify superior system configurations, achieving significant improvements in performance while minimizing the total product cost rate.

Suggested Citation

  • Mahmoodnezhad, Motahare & Abbas Nejad, Ali & Ahmadi, Mohammad Hossein, 2024. "Multi-objective optimization and exergoeconomic analysis of a novel solar desalination system with absorption cooling," Energy, Elsevier, vol. 312(C).
    • Handle: RePEc:eee:energy:v:312:y:2024:i:c:s0360544224034807
    DOI: 10.1016/j.energy.2024.133702
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544224034807
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2024.133702?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Mohammadkhani, F. & Shokati, N. & Mahmoudi, S.M.S. & Yari, M. & Rosen, M.A., 2014. "Exergoeconomic assessment and parametric study of a Gas Turbine-Modular Helium Reactor combined with two Organic Rankine Cycles," Energy, Elsevier, vol. 65(C), pages 533-543.
    2. Huang, Xin & Ke, Tingfen & Yu, Xiangqian & Liu, Weihong & Li, Yang & Ling, Xiang, 2020. "Pressure drop modeling and performance optimization of a humidification–dehumidification desalination system," Applied Energy, Elsevier, vol. 258(C).
    3. Sadeghi, Mohsen & Yari, Mortaza & Mahmoudi, S.M.S. & Jafari, Moharram, 2017. "Thermodynamic analysis and optimization of a novel combined power and ejector refrigeration cycle – Desalination system," Applied Energy, Elsevier, vol. 208(C), pages 239-251.
    4. Allouhi, A. & Kousksou, T. & Jamil, A. & Bruel, P. & Mourad, Y. & Zeraouli, Y., 2015. "Solar driven cooling systems: An updated review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 159-181.
    5. Ghaebi, Hadi & Parikhani, Towhid & Rostamzadeh, Hadi & Farhang, Behzad, 2017. "Thermodynamic and thermoeconomic analysis and optimization of a novel combined cooling and power (CCP) cycle by integrating of ejector refrigeration and Kalina cycles," Energy, Elsevier, vol. 139(C), pages 262-276.
    6. Ahmadi, Mohammad Hossein & Ahmadi, Mohammad Ali, 2016. "Multi objective optimization of performance of three-heat-source irreversible refrigerators based algorithm NSGAII," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 784-794.
    7. Ahmadi, Mohammad H. & Hosseinzade, Hadi & Sayyaadi, Hoseyn & Mohammadi, Amir H. & Kimiaghalam, Farshad, 2013. "Application of the multi-objective optimization method for designing a powered Stirling heat engine: Design with maximized power, thermal efficiency and minimized pressure loss," Renewable Energy, Elsevier, vol. 60(C), pages 313-322.
    8. Konak, Abdullah & Coit, David W. & Smith, Alice E., 2006. "Multi-objective optimization using genetic algorithms: A tutorial," Reliability Engineering and System Safety, Elsevier, vol. 91(9), pages 992-1007.
    9. Gebreslassie, Berhane H. & Guillén-Gosálbez, Gonzalo & Jiménez, Laureano & Boer, Dieter, 2009. "Design of environmentally conscious absorption cooling systems via multi-objective optimization and life cycle assessment," Applied Energy, Elsevier, vol. 86(9), pages 1712-1722, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ahmadi, Mohammad H. & Amin Nabakhteh, Mohammad & Ahmadi, Mohammad-Ali & Pourfayaz, Fathollah & Bidi, Mokhtar, 2017. "Investigation and optimization of performance of nano-scale Stirling refrigerator using working fluid as Maxwell–Boltzmann gases," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 483(C), pages 337-350.
    2. Ahmadi, Mohammad H. & Ahmadi, Mohammad-Ali & Maleki, Akbar & Pourfayaz, Fathollah & Bidi, Mokhtar & Açıkkalp, Emin, 2017. "Exergetic sustainability evaluation and multi-objective optimization of performance of an irreversible nanoscale Stirling refrigeration cycle operating with Maxwell–Boltzmann gas," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 80-92.
    3. Shahriyar Abedinnezhad & Mohammad Hossein Ahmadi & Seyed Mohsen Pourkiaei & Fathollah Pourfayaz & Amir Mosavi & Michel Feidt & Shahaboddin Shamshirband, 2019. "Thermodynamic Assessment and Multi-Objective Optimization of Performance of Irreversible Dual-Miller Cycle," Energies, MDPI, vol. 12(20), pages 1-25, October.
    4. Ahmadi, Mohammad Hossein & Ahmadi, Mohammad Ali, 2016. "Multi objective optimization of performance of three-heat-source irreversible refrigerators based algorithm NSGAII," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 784-794.
    5. Mohammad Hossein Ahmadi & Seyed Ali Banihashem & Mahyar Ghazvini & Milad Sadeghzadeh, 2018. "Thermo-economic and exergy assessment and optimization of performance of a hydrogen production system by using geothermal energy," Energy & Environment, , vol. 29(8), pages 1373-1392, December.
    6. Ahmadi, Mohammad H. & Jokar, Mohammad Ali & Ming, Tingzhen & Feidt, Michel & Pourfayaz, Fathollah & Astaraei, Fatemeh Razi, 2018. "Multi-objective performance optimization of irreversible molten carbonate fuel cell–Braysson heat engine and thermodynamic analysis with ecological objective approach," Energy, Elsevier, vol. 144(C), pages 707-722.
    7. Wu, TianXin & Wu, DengHao & Gao, ShuYu & Song, Yu & Ren, Yun & Mou, JieGang, 2023. "Multi-objective optimization and loss analysis of multistage centrifugal pumps," Energy, Elsevier, vol. 284(C).
    8. Shokati, Naser & Ranjbar, Faramarz & Yari, Mortaza, 2015. "Exergoeconomic analysis and optimization of basic, dual-pressure and dual-fluid ORCs and Kalina geothermal power plants: A comparative study," Renewable Energy, Elsevier, vol. 83(C), pages 527-542.
    9. Keshtkar, Mohammad Mehdi & Talebizadeh, Pouyan, 2017. "Multi-objective optimization of cooling water package based on 3E analysis: A case study," Energy, Elsevier, vol. 134(C), pages 840-849.
    10. Hosseini-Ardali, Seyed Mohsen & Hazrati-Kalbibaki, Majid & Fattahi, Moslem & Lezsovits, Ferenc, 2020. "Multi-objective optimization of post combustion CO2 capture using methyldiethanolamine (MDEA) and piperazine (PZ) bi-solvent," Energy, Elsevier, vol. 211(C).
    11. Parikhani, Towhid & Ghaebi, Hadi & Rostamzadeh, Hadi, 2018. "A novel geothermal combined cooling and power cycle based on the absorption power cycle: Energy, exergy and exergoeconomic analysis," Energy, Elsevier, vol. 153(C), pages 265-277.
    12. Ahmadi, Mohammad H. & Ahmadi, Mohammad Ali & Pourfayaz, Fathollah & Hosseinzade, Hadi & Acıkkalp, Emin & Tlili, Iskander & Feidt, Michel, 2016. "Designing a powered combined Otto and Stirling cycle power plant through multi-objective optimization approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 585-595.
    13. Boyaghchi, Fateme Ahmadi & Chavoshi, Mansoure & Sabeti, Vajiheh, 2018. "Multi-generation system incorporated with PEM electrolyzer and dual ORC based on biomass gasification waste heat recovery: Exergetic, economic and environmental impact optimizations," Energy, Elsevier, vol. 145(C), pages 38-51.
    14. Ahmadi, Mohammad H. & Ahmadi, Mohammad Ali & Sadatsakkak, Seyed Abbas, 2015. "Thermodynamic analysis and performance optimization of irreversible Carnot refrigerator by using multi-objective evolutionary algorithms (MOEAs)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1055-1070.
    15. Gupta, Pankaj & Mittal, Garima & Mehlawat, Mukesh Kumar, 2013. "Expected value multiobjective portfolio rebalancing model with fuzzy parameters," Insurance: Mathematics and Economics, Elsevier, vol. 52(2), pages 190-203.
    16. Weifan Zhong & Lijing Du, 2023. "Predicting Traffic Casualties Using Support Vector Machines with Heuristic Algorithms: A Study Based on Collision Data of Urban Roads," Sustainability, MDPI, vol. 15(4), pages 1-18, February.
    17. Wu, Heng & Ge, Yanlin & Chen, Lingen & Feng, Huijun, 2021. "Power, efficiency, ecological function and ecological coefficient of performance optimizations of irreversible Diesel cycle based on finite piston speed," Energy, Elsevier, vol. 216(C).
    18. Cai, Yuhao & Qian, Xin & Su, Ruihang & Jia, Xiongjie & Ying, Jinhui & Zhao, Tianshou & Jiang, Haoran, 2024. "Thermo-electrochemical modeling of thermally regenerative flow batteries," Applied Energy, Elsevier, vol. 355(C).
    19. Meng, Fankai & Chen, Lingen & Feng, Yuanli & Xiong, Bing, 2017. "Thermoelectric generator for industrial gas phase waste heat recovery," Energy, Elsevier, vol. 135(C), pages 83-90.
    20. Alobaid, Mohammad & Hughes, Ben & Calautit, John Kaiser & O’Connor, Dominic & Heyes, Andrew, 2017. "A review of solar driven absorption cooling with photovoltaic thermal systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 728-742.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:312:y:2024:i:c:s0360544224034807. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.