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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)

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  • Ansari, Kambiz
  • Sayyaadi, Hoseyn
  • Amidpour, Majid

Abstract

Thermoeconomic optimization of a typical 1000 MW Pressurized Water Reactor (PWR) nuclear power plant coupled to a Multi Effect Distillation (MED) desalination system with thermo-vapor compressor (TVC) is performed. A thermodynamic modeling based on the energy and exergy analysis is performed while economic modeling is developed based on the Total Revenue Requirement (TRR) method. The objective function based on the thermoeconomic analysis is obtained. The proposed cogeneration plant, for simultaneous production of power and fresh water, including sixteen decision variables is proposed for thermoeconomic optimization in which the goal is minimizing the cost of system product (including the cost of generated electricity and fresh water). The optimization process is performed using a stochastic/deterministic optimization approach namely as Genetic Algorithm. It is found that thermoeconomic optimization aims at reduction of sub-components total costs by reducing either the cost of inefficiency or the cost of owning the components, whichever is dominant. For some components such as evaporators, the improvement is obtained by reducing the owning cost of the sub-system at the cost of reduction of the thermodynamic efficiency. For components like as TVC + de-superheater, improvement is achieved by increasing the thermodynamic efficiency or decreasing the inefficiency cost.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:energy:v:35:y:2010:i:5:p:1981-1996
    DOI: 10.1016/j.energy.2010.01.013
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    References listed on IDEAS

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    1. Hamed, Osman A. & Al-Washmi, Hamed A. & Al-Otaibi, Holayil A., 2006. "Thermoeconomic analysis of a power/water cogeneration plant," Energy, Elsevier, vol. 31(14), pages 2699-2709.
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    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.
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    13. 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.
    14. 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.
    15. Qi, Chun-hua & Feng, Hou-jun & Lv, Qing-chun & Xing, Yu-lei & Li, Nan, 2014. "Performance study of a pilot-scale low-temperature multi-effect desalination plant," Applied Energy, Elsevier, vol. 135(C), pages 415-422.
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    17. Hui, Jiuwu & Lee, Yi-Kuen & Yuan, Jingqi, 2023. "ESO-based adaptive event-triggered load following control design for a pressurized water reactor with samarium–promethium dynamics," Energy, Elsevier, vol. 271(C).
    18. 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.
    19. 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.
    20. 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.
    21. Xiong, Jie & Zhao, Haibo & Zhang, Chao & Zheng, Chuguang & Luh, Peter B., 2012. "Thermoeconomic operation optimization of a coal-fired power plant," Energy, Elsevier, vol. 42(1), pages 486-496.
    22. Xie, Guo & Sun, Licheng & Yan, Tiantong & Tang, Jiguo & Bao, Jingjing & Du, Min, 2018. "Model development and experimental verification for tubular solar still operating under vacuum condition," Energy, Elsevier, vol. 157(C), pages 115-130.
    23. Pietrasanta, Ariana M. & Mussati, Sergio F. & Aguirre, Pio A. & Morosuk, Tatiana & Mussati, Miguel C., 2022. "Optimization of a multi-generation power, desalination, refrigeration and heating system," Energy, Elsevier, vol. 238(PB).
    24. Naserbegi, A. & Aghaie, M. & Minuchehr, A. & Alahyarizadeh, Gh, 2018. "A novel exergy optimization of Bushehr nuclear power plant by gravitational search algorithm (GSA)," Energy, Elsevier, vol. 148(C), pages 373-385.

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