IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i10p8358-d1152250.html
   My bibliography  Save this article

Energy and Exergy Analyses of a PWR-Type Nuclear Power Plant Coupled with an ME-TVC-MED Desalination System

Author

Listed:
  • Zakaria Triki

    (Laboratory of Biomaterials and Transport Phenomena, University of Medea, Medea 26000, Algeria)

  • Rabah Menasri

    (Laboratory of Biomaterials and Transport Phenomena, University of Medea, Medea 26000, Algeria)

  • Mohamed Najib Bouaziz

    (Laboratory of Biomaterials and Transport Phenomena, University of Medea, Medea 26000, Algeria)

  • Hichem Tahraoui

    (Laboratory of Biomaterials and Transport Phenomena, University of Medea, Medea 26000, Algeria
    Laboratoire de Génie des Procédés Chimiques, Department of Process Engineering, University of Ferhat Abbas, Setif 19000, Algeria)

  • Mohammed Kebir

    (Research Unit on Analysis and Technological Development in Environment (URADTE-CRAPC), BP 384, Bou-Ismail Tipaza 42004, Algeria)

  • Abdeltif Amrane

    (Ecole Nationale Supérieure de Chimie de Rennes, Centre National de la Recherche Scientifique (CNRS), ISCR-UMR 6226, Université de Rennes, F-35000 Rennes, France)

  • Jie Zhang

    (School of Engineering, Merz Court, Newcastle University, Newcastle upon Tyne NE1 7RU, UK)

  • Lotfi Mouni

    (Laboratory of Management and Valorization of Natural Resources and Quality Assurance, SNVST Faculty, Akli Mohand Oulhadj University, Bouira 10000, Algeria)

Abstract

Electricity–water cogeneration power plants are an important tool for advancing sustainable water treatment technologies because they provide a cost-effective and environmentally friendly solution for meeting the energy and water needs of communities. By integrating power and water production, these technologies can reduce carbon emissions and help mitigate the impact of climate change. This work deals with the energy and exergy analysis of a cogeneration plant for electrical power generation and water desalination using real operational data. The power side is a pressurized water reactor (PWR) nuclear power plant (NPP), while the desalination side is a multi-effect distillation (MED) system with a thermo-vapor compressor (TVC) plant coupled with a conventional multi-effect plant (ME-TVC-MED). A mathematical model was implemented in MATLAB software and validated through a comparison with previously published research. The exergy analysis was carried out based on the second law of thermodynamics to evaluate the irreversibility of the plant and the subsystems. In this study, the components of the sub-systems were analyzed separately to identify and quantify the component that has a high loss of energy and exergy. According to the energy and exergy analyses, the highest source of irreversibility occurs in the reactor core with 50% of the total exergy destruction. However, turbines, steam generators, and condensers also contribute to energy loss. Further, the thermodynamic efficiency of the cogeneration plant was obtained as 35.38%, which is more effective than other systems. In the ME-TVC-MED desalination unit, the main sources of energy losses are located in the evaporators and the thermo-compressor (about 50% and 36%, respectively). Moreover, the exergetic efficiency of the ME-TVC-MED unit was found to be low at 6.43%, indicating a high degree of technical inefficiency in the desalination process. Therefore, many opportunities exist to improve the performance of the cogeneration system.

Suggested Citation

  • Zakaria Triki & Rabah Menasri & Mohamed Najib Bouaziz & Hichem Tahraoui & Mohammed Kebir & Abdeltif Amrane & Jie Zhang & Lotfi Mouni, 2023. "Energy and Exergy Analyses of a PWR-Type Nuclear Power Plant Coupled with an ME-TVC-MED Desalination System," Sustainability, MDPI, vol. 15(10), pages 1-20, May.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:10:p:8358-:d:1152250
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/10/8358/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/10/8358/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ansari, Kambiz & Sayyaadi, Hoseyn & Amidpour, Majid, 2010. "Thermoeconomic optimization of a hybrid pressurized water reactor (PWR) power plant coupled to a multi effect distillation desalination system with thermo-vapor compressor (MED-TVC)," Energy, Elsevier, vol. 35(5), pages 1981-1996.
    2. Sayyaadi, Hoseyn & Sabzaligol, Tooraj, 2009. "Various approaches in optimization of a typical pressurized water reactor power plant," Applied Energy, Elsevier, vol. 86(7-8), pages 1301-1310, July.
    3. Durmayaz, Ahmet & Yavuz, Hasbi, 2001. "Exergy analysis of a pressurized-water reactor nuclear-power plant," Applied Energy, Elsevier, vol. 69(1), pages 39-57, May.
    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. Sayyaadi, Hoseyn & Baghsheikhi, Mostafa, 2019. "Retrofit of a steam power plant using the adaptive neuro-fuzzy inference system in response to the load variation," Energy, Elsevier, vol. 175(C), pages 1164-1173.
    2. Sayyaadi, Hoseyn & Baghsheikhi, Mostafa, 2018. "Developing a novel methodology based on the adaptive neuro-fuzzy interference system for the exergoeconomic optimization of energy systems," Energy, Elsevier, vol. 164(C), pages 218-235.
    3. Wang, Zhen & Duan, Liqiang & Zhang, Zuxian, 2022. "Multi-objective optimization of gas turbine combined cycle system considering environmental damage cost of pollution emissions," Energy, Elsevier, vol. 261(PA).
    4. Ghorbani, Bahram & Mehrpooya, Mehdi & Ghasemzadeh, Hossein, 2018. "Investigation of a hybrid water desalination, oxy-fuel power generation and CO2 liquefaction process," Energy, Elsevier, vol. 158(C), pages 1105-1119.
    5. Cullen, Jonathan M. & Allwood, Julian M., 2010. "Theoretical efficiency limits for energy conversion devices," Energy, Elsevier, vol. 35(5), pages 2059-2069.
    6. Sharan, Prashant & Bandyopadhyay, Santanu, 2016. "Energy optimization in parallel/cross feed multiple-effect evaporator based desalination system," Energy, Elsevier, vol. 111(C), pages 756-767.
    7. Hermann, Weston A., 2006. "Quantifying global exergy resources," Energy, Elsevier, vol. 31(12), pages 1685-1702.
    8. Shahandeh, H. & Ivakpour, J. & Kasiri, N., 2014. "Internal and external HIDiCs (heat-integrated distillation columns) optimization by genetic algorithm," Energy, Elsevier, vol. 64(C), pages 875-886.
    9. Baghsheikhi, Mostafa & Sayyaadi, Hoseyn, 2016. "Real-time exergoeconomic optimization of a steam power plant using a soft computing-fuzzy inference system," Energy, Elsevier, vol. 114(C), pages 868-884.
    10. Sharifi, Navid & Boroomand, Masoud & Kouhikamali, Ramin, 2012. "Wet steam flow energy analysis within thermo-compressors," Energy, Elsevier, vol. 47(1), pages 609-619.
    11. Palenzuela, Patricia & Zaragoza, Guillermo & Alarcón-Padilla, Diego C. & Guillén, Elena & Ibarra, Mercedes & Blanco, Julián, 2011. "Assessment of different configurations for combined parabolic-trough (PT) solar power and desalination plants in arid regions," Energy, Elsevier, vol. 36(8), pages 4950-4958.
    12. Elsayed, Mohamed L. & Mesalhy, Osama & Mohammed, Ramy H. & Chow, Louis C., 2019. "Performance modeling of MED-MVC systems: Exergy-economic analysis," Energy, Elsevier, vol. 166(C), pages 552-568.
    13. Matthew Kuperus Heun & Zeke Marshall & Emmanuel Aramendia & Paul E. Brockway, 2020. "The Energy and Exergy of Light with Application to Societal Exergy Analysis," Energies, MDPI, vol. 13(20), pages 1-24, October.
    14. Rigby, Aidan & Lindley, Ben & Cullen, Jonathan, 2023. "An exergy based assessment of the efficiency of nuclear fuel cycles," Energy, Elsevier, vol. 264(C).
    15. Rattner, Alexander S. & Garimella, Srinivas, 2011. "Energy harvesting, reuse and upgrade to reduce primary energy usage in the USA," Energy, Elsevier, vol. 36(10), pages 6172-6183.
    16. Shirazi, Ali & Najafi, Behzad & Aminyavari, Mehdi & Rinaldi, Fabio & Taylor, Robert A., 2014. "Thermal–economic–environmental analysis and multi-objective optimization of an ice thermal energy storage system for gas turbine cycle inlet air cooling," Energy, Elsevier, vol. 69(C), pages 212-226.
    17. Ariana M. Pietrasanta & Sergio F. Mussati & Pio A. Aguirre & Tatiana Morosuk & Miguel C. Mussati, 2022. "Optimization of Cogeneration Power-Desalination Plants," Energies, MDPI, vol. 15(22), pages 1-22, November.
    18. Sayyaadi, Hoseyn & Sabzaligol, Tooraj, 2010. "Comprehensive exergetic and economic comparison of PWR and hybrid fossil fuel-PWR power plants," Energy, Elsevier, vol. 35(7), pages 2953-2964.
    19. Araghi, Alireza Hosseini & Khiadani, Mehdi & Hooman, Kamel, 2016. "A novel vacuum discharge thermal energy combined desalination and power generation system utilizing R290/R600a," Energy, Elsevier, vol. 98(C), pages 215-224.
    20. Abdollahipour, Armin & Sayyaadi, Hoseyn, 2022. "A novel electrochemical refrigeration system based on the combined proton exchange membrane fuel cell-electrolyzer," Applied Energy, Elsevier, vol. 316(C).

    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:gam:jsusta:v:15:y:2023:i:10:p:8358-:d:1152250. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.