IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v86y2009i7-8p1301-1310.html
   My bibliography  Save this article

Various approaches in optimization of a typical pressurized water reactor power plant

Author

Listed:
  • Sayyaadi, Hoseyn
  • Sabzaligol, Tooraj

Abstract

A typical 1000Â MW pressurized water reactor (PWR) nuclear power plant is considered for optimization. The thermodynamic modeling is performed based on the energy and exergy analysis, while an economic model is developed according to the total revenue requirement (TRR) method. The objective functions based on the thermodynamic and thermoeconomic analysis are obtained. The optimization process with ten degrees of freedom for plant under consideration is performed using the genetic algorithm (GA). Three levels of optimization including thermodynamic single-objective, thermoeconomic single-objective and multi-objective optimizations are performed. In multi-objective optimization, both thermodynamics and thermoeconomic objectives are considered, simultaneously. A series of optimum solutions namely as Pareto frontier are obtained. In the case of multi-objective optimization, an example of decision-making process for selection of the final optimal solution from the Pareto frontier is introduced. The results obtained using the various optimization approaches are compared and discussed.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:appene:v:86:y:2009:i:7-8:p:1301-1310
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306-2619(08)00253-5
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. Sayyaadi, Hoseyn, 2009. "Multi-objective approach in thermoenvironomic optimization of a benchmark cogeneration system," Applied Energy, Elsevier, vol. 86(6), pages 867-879, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wang, Jiang-Jiang & Jing, You-Yin & Zhang, Chun-Fa, 2010. "Optimization of capacity and operation for CCHP system by genetic algorithm," Applied Energy, Elsevier, vol. 87(4), pages 1325-1335, April.
    2. 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.
    3. 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.
    4. 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.
    5. 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).
    6. Sayyaadi, Hoseyn & Babaie, Meisam & Farmani, Mohammad Reza, 2011. "Implementing of the multi-objective particle swarm optimizer and fuzzy decision-maker in exergetic, exergoeconomic and environmental optimization of a benchmark cogeneration system," Energy, Elsevier, vol. 36(8), pages 4777-4789.
    7. 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.
    8. Wang, Ligang & Yang, Yongping & Dong, Changqing & Morosuk, Tatiana & Tsatsaronis, George, 2014. "Multi-objective optimization of coal-fired power plants using differential evolution," Applied Energy, Elsevier, vol. 115(C), pages 254-264.
    9. 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.
    10. 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.

    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. Bakhshmand, Sina Kazemi & Saray, Rahim Khoshbakhti & Bahlouli, Keyvan & Eftekhari, Hajar & Ebrahimi, Afshin, 2015. "Exergoeconomic analysis and optimization of a triple-pressure combined cycle plant using evolutionary algorithm," Energy, Elsevier, vol. 93(P1), pages 555-567.
    2. Nondy, J. & Gogoi, T.K., 2021. "Performance comparison of multi-objective evolutionary algorithms for exergetic and exergoenvironomic optimization of a benchmark combined heat and power system," Energy, Elsevier, vol. 233(C).
    3. Aghaei, Ali Tavakkol & Saray, Rahim Khoshbakhti, 2021. "Optimization of a combined cooling, heating, and power (CCHP) system with a gas turbine prime mover: A case study in the dairy industry," Energy, Elsevier, vol. 229(C).
    4. Xiao, Wu & Cheng, Andi & Li, Shuai & Jiang, Xiaobin & Ruan, Xuehua & He, Gaohong, 2021. "A multi-objective optimization strategy of steam power system to achieve standard emission and optimal economic by NSGA-Ⅱ," Energy, Elsevier, vol. 232(C).
    5. Sayyaadi, Hoseyn & Mehrabipour, Reza, 2012. "Efficiency enhancement of a gas turbine cycle using an optimized tubular recuperative heat exchanger," Energy, Elsevier, vol. 38(1), pages 362-375.
    6. 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.
    7. Gimelli, Alfredo & Muccillo, Massimiliano, 2013. "Optimization criteria for cogeneration systems: Multi-objective approach and application in an hospital facility," Applied Energy, Elsevier, vol. 104(C), pages 910-923.
    8. Wang, Jiangjiang & Zhai, Zhiqiang (John) & Jing, Youyin & Zhang, Chunfa, 2010. "Particle swarm optimization for redundant building cooling heating and power system," Applied Energy, Elsevier, vol. 87(12), pages 3668-3679, December.
    9. Cheng, Tianliang & Jiang, Jianhua & Wu, Xiaodong & Li, Xi & Xu, Mengxue & Deng, Zhonghua & Li, Jian, 2019. "Application oriented multiple-objective optimization, analysis and comparison of solid oxide fuel cell systems with different configurations," Applied Energy, Elsevier, vol. 235(C), pages 914-929.
    10. Cao, Tao & Hwang, Yunho & Radermacher, Reinhard, 2017. "Development of an optimization based design framework for microgrid energy systems," Energy, Elsevier, vol. 140(P1), pages 340-351.
    11. Nondy, J. & Gogoi, T.K., 2022. "Tri-objective optimization of two recuperative gas turbine-based CCHP systems and 4E analyses at optimal conditions," Applied Energy, Elsevier, vol. 323(C).
    12. Sayyaadi, Hoseyn & Aminian, Hamid Reza, 2010. "Design and optimization of a non-TEMA type tubular recuperative heat exchanger used in a regenerative gas turbine cycle," Energy, Elsevier, vol. 35(4), pages 1647-1657.
    13. Zare, A. Darabadi & Saray, R. Khoshbakhti & Mirmasoumi, S. & Bahlouli, K., 2019. "Optimization strategies for mixing ratio of biogas and natural gas co-firing in a cogeneration of heat and power cycle," Energy, Elsevier, vol. 181(C), pages 635-644.
    14. Sanaye, Sepehr & Dehghandokht, Masoud, 2011. "Modeling and multi-objective optimization of parallel flow condenser using evolutionary algorithm," Applied Energy, Elsevier, vol. 88(5), pages 1568-1577, May.
    15. Mallikarjun, Sreekanth & Lewis, Herbert F., 2014. "Energy technology allocation for distributed energy resources: A strategic technology-policy framework," Energy, Elsevier, vol. 72(C), pages 783-799.
    16. Barthwal, Mohit & Dhar, Atul & Powar, Satvasheel, 2021. "The techno-economic and environmental analysis of genetic algorithm (GA) optimized cold thermal energy storage (CTES) for air-conditioning applications," Applied Energy, Elsevier, vol. 283(C).
    17. Lamas, Wendell de Queiroz, 2013. "Fuzzy thermoeconomic optimisation applied to a small waste water treatment plant," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 214-219.
    18. Ren, Hongbo & Zhou, Weisheng & Nakagami, Ken'ichi & Gao, Weijun & Wu, Qiong, 2010. "Multi-objective optimization for the operation of distributed energy systems considering economic and environmental aspects," Applied Energy, Elsevier, vol. 87(12), pages 3642-3651, December.
    19. Yuan, Jun & Ng, Szu Hui, 2017. "Emission reduction measures ranking under uncertainty," Applied Energy, Elsevier, vol. 188(C), pages 270-279.
    20. Khaljani, M. & Khoshbakhti Saray, R. & Bahlouli, K., 2015. "Thermodynamic and thermoeconomic optimization of an integrated gas turbine and organic Rankine cycle," Energy, Elsevier, vol. 93(P2), pages 2136-2145.

    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:appene:v:86:y:2009:i:7-8:p:1301-1310. 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.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.