IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v312y2024ics0360544224031694.html
   My bibliography  Save this article

Global sensitivity analysis of nuclear district heating reactor primary heat exchanger and pressure vessel optimization

Author

Listed:
  • Saari, Jussi
  • Kozlova, Mariia
  • Suikkanen, Heikki
  • Sermyagina, Ekaterina
  • Hyvärinen, Juhani
  • Yeomans, Julian Scott

Abstract

Recently, small modular reactors (SMRs) have received greater interest as a source for clean and affordable district heating (DH). Compared to power plants, the low-pressure, low-temperature design and nearly 100 % efficiency reduce the cost of produced energy considerably. However, few practical implementations exist yet, and cost estimates and design principles are subject to uncertainties whose interactions remain largely unknown. In this work, we present a techno-economic optimization and sensitivity analysis of a natural circulation DH SMR primary heat exchanger. A Cuckoo Search variant augmented with a modified Hooke-Jeeves search was used as the optimizer, with SimDec (simulation decomposition) subsequently employed for global sensitivity analysis. The reactor pressure vessel and containment vessel specific costs exhibited the greatest impact on the cost of heat and the optimized configurations. While low-pressure, low-temperature design is central to heating reactor cost-effectiveness, optimized primary circuit temperatures clearly exceeded previous assumptions. In a 5260 full-load hours mid-load application, a 34–41 €/MWh cost range was found for produced heat at 8 % interest and 20-year lifetime. For heat exchanger optimization, the results indicate the potential for considerable performance improvement from using deterministic local search for terminal convergence and sensitivity analysis for dimensionality reduction.

Suggested Citation

  • Saari, Jussi & Kozlova, Mariia & Suikkanen, Heikki & Sermyagina, Ekaterina & Hyvärinen, Juhani & Yeomans, Julian Scott, 2024. "Global sensitivity analysis of nuclear district heating reactor primary heat exchanger and pressure vessel optimization," Energy, Elsevier, vol. 312(C).
  • Handle: RePEc:eee:energy:v:312:y:2024:i:c:s0360544224031694
    DOI: 10.1016/j.energy.2024.133393
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544224031694
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2024.133393?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. Antti Teräsvirta & Sanna Syri & Pauli Hiltunen, 2020. "Small Nuclear Reactor—Nordic District Heating Case Study," Energies, MDPI, vol. 13(15), pages 1-16, July.
    2. Mendoza-Martinez, Clara & Sermyagina, Ekaterina & Saari, Jussi & Ramos, Vinicius Faria & Vakkilainen, Esa & Cardoso, Marcelo & Alves Rocha, Elém Patrícia, 2023. "Fast oxidative pyrolysis of eucalyptus wood residues to replace fossil oil in pulp industry," Energy, Elsevier, vol. 263(PE).
    3. Konsta Värri & Sanna Syri, 2019. "The Possible Role of Modular Nuclear Reactors in District Heating: Case Helsinki Region," Energies, MDPI, vol. 12(11), pages 1-24, June.
    4. Kang, Seong Woo & Yim, Man-Sung, 2023. "Coupled system model analysis for a small modular reactor cogeneration (combined heat and power) application," Energy, Elsevier, vol. 262(PA).
    5. Verleysen, Kevin & Parente, Alessandro & Contino, Francesco, 2021. "How sensitive is a dynamic ammonia synthesis process? Global sensitivity analysis of a dynamic Haber-Bosch process (for flexible seasonal energy storage)," Energy, Elsevier, vol. 232(C).
    6. Fan, Guodong & Li, Xiaoyu & Zhang, Ruigang, 2021. "Global Sensitivity Analysis on Temperature-Dependent Parameters of A Reduced-Order Electrochemical Model And Robust State-of-Charge Estimation at Different Temperatures," Energy, Elsevier, vol. 223(C).
    7. Verschelde, Tars & D'haeseleer, William, 2021. "Methodology for a global sensitivity analysis with machine learning on an energy system planning model in the context of thermal networks," Energy, Elsevier, vol. 232(C).
    8. Chuat, Arthur & Terrier, Cédric & Schnidrig, Jonas & Maréchal, François, 2024. "Identification of typical district configurations: A two-step global sensitivity analysis framework," Energy, Elsevier, vol. 296(C).
    9. Lee, Ungki & Park, Sudong & Lee, Ikjin, 2020. "Robust design optimization (RDO) of thermoelectric generator system using non-dominated sorting genetic algorithm II (NSGA-II)," Energy, Elsevier, vol. 196(C).
    10. Leurent, Martin & Da Costa, Pascal & Rämä, Miika & Persson, Urban & Jasserand, Frédéric, 2018. "Cost-benefit analysis of district heating systems using heat from nuclear plants in seven European countries," Energy, Elsevier, vol. 149(C), pages 454-472.
    11. Doodman, A.R. & Fesanghary, M. & Hosseini, R., 2009. "A robust stochastic approach for design optimization of air cooled heat exchangers," Applied Energy, Elsevier, vol. 86(7-8), pages 1240-1245, July.
    12. Jussi Saari & Heikki Suikkanen & Clara Mendoza-Martinez & Juhani Hyvärinen, 2023. "Optimization of Natural Circulation District Heating Reactor Primary Heat Exchangers," Energies, MDPI, vol. 16(6), pages 1-27, March.
    13. Asuega, Anthony & Limb, Braden J. & Quinn, Jason C., 2023. "Techno-economic analysis of advanced small modular nuclear reactors," Applied Energy, Elsevier, vol. 334(C).
    14. Saari, Jussi & Martinez, Clara Mendoza & Kaikko, Juha & Sermyagina, Ekaterina & Mankonen, Aleksi & Vakkilainen, Esa, 2022. "Techno-economic optimization of a district heat condenser in a small cogeneration plant with a novel greedy cuckoo search," Energy, Elsevier, vol. 239(PE).
    15. Marina, A. & Spoelstra, S. & Zondag, H.A. & Wemmers, A.K., 2021. "An estimation of the European industrial heat pump market potential," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
    16. Jaskólski, Marcin & Reński, Andrzej & Minkiewicz, Tomasz, 2017. "Thermodynamic and economic analysis of nuclear power unit operating in partial cogeneration mode to produce electricity and district heat," Energy, Elsevier, vol. 141(C), pages 2470-2483.
    17. Jaakko Leppänen & Ville Valtavirta & Antti Rintala & Ville Hovi & Riku Tuominen & Jussi Peltonen & Markus Hirvensalo & Eric Dorval & Unna Lauranto & Rebekka Komu, 2022. "Current Status and On-Going Development of VTT’s Kraken Core Physics Computational Framework," Energies, MDPI, vol. 15(3), pages 1-12, January.
    18. Khosravi, A. & Olkkonen, V. & Farsaei, A. & Syri, S., 2020. "Replacing hard coal with wind and nuclear power in Finland- impacts on electricity and district heating markets," Energy, Elsevier, vol. 203(C).
    19. Castillo, Enrique & Mínguez, Roberto & Castillo, Carmen, 2008. "Sensitivity analysis in optimization and reliability problems," Reliability Engineering and System Safety, Elsevier, vol. 93(12), pages 1788-1800.
    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. Chen, Jiayang & Zheng, Wen & Kong, Ying & Yang, Xiaolin & Liu, Zhaoyang & Xia, Jianjun, 2021. "Case study on combined heat and water system for nuclear district heating in Jiaodong Peninsula," Energy, Elsevier, vol. 218(C).
    2. Pablo Fernández-Arias & Diego Vergara & Álvaro Antón-Sancho, 2023. "Bibliometric Review and Technical Summary of PWR Small Modular Reactors," Energies, MDPI, vol. 16(13), pages 1-15, July.
    3. Antti Teräsvirta & Sanna Syri & Pauli Hiltunen, 2020. "Small Nuclear Reactor—Nordic District Heating Case Study," Energies, MDPI, vol. 13(15), pages 1-16, July.
    4. Østergaard, Poul Alberg & Andersen, Anders N. & Sorknæs, Peter, 2022. "The business-economic energy system modelling tool energyPRO," Energy, Elsevier, vol. 257(C).
    5. Anna Grzegórska & Piotr Rybarczyk & Valdas Lukoševičius & Joanna Sobczak & Andrzej Rogala, 2021. "Smart Asset Management for District Heating Systems in the Baltic Sea Region," Energies, MDPI, vol. 14(2), pages 1-25, January.
    6. Hunt, Julian David & Nascimento, Andreas & Zakeri, Behnam & Barbosa, Paulo Sérgio Franco, 2022. "Hydrogen Deep Ocean Link: a global sustainable interconnected energy grid," Energy, Elsevier, vol. 249(C).
    7. Østergaard, P.A. & Lund, H. & Thellufsen, J.Z. & Sorknæs, P. & Mathiesen, B.V., 2022. "Review and validation of EnergyPLAN," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    8. Luo, Xianglong & Yi, Zhitong & Zhang, Bingjian & Mo, Songping & Wang, Chao & Song, Mengjie & Chen, Ying, 2017. "Mathematical modelling and optimization of the liquid separation condenser used in organic Rankine cycle," Applied Energy, Elsevier, vol. 185(P2), pages 1309-1323.
    9. Amelia DIACONU & Maria-Loredana POPESCU & Sorin BURLACU & Ovidiu Cristian Andrei BUZOIANU, 2019. "Strategic Options For The Development Of Renewable Energy In The Context Of Globalization," Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 13(1), pages 1022-1029, November.
    10. Mehdipour, Ramin & Garvey, Seamus & Baniamerian, Zahra & Cardenas, Bruno, 2024. "Ice source heat pump system for energy supply via gas pipelines – Part1: Performance analysis in residential units," Energy, Elsevier, vol. 309(C).
    11. Wang, Manyu & Wei, Chu, 2024. "Toward sustainable heating: Assessment of the carbon mitigation potential from residential heating in northern rural China," Energy Policy, Elsevier, vol. 190(C).
    12. Kong, Xue & Wang, Hongye & Li, Nan & Mu, Hailin, 2022. "Multi-objective optimal allocation and performance evaluation for energy storage in energy systems," Energy, Elsevier, vol. 253(C).
    13. Pauli Hiltunen & Sanna Syri, 2020. "Highly Renewable District Heat for Espoo Utilizing Waste Heat Sources," Energies, MDPI, vol. 13(14), pages 1-21, July.
    14. Huijun Feng & Wei Tang & Lingen Chen & Junchao Shi & Zhixiang Wu, 2021. "Multi-Objective Constructal Optimization for Marine Condensers," Energies, MDPI, vol. 14(17), pages 1-18, September.
    15. Michael K. McWilliam & Antariksh C. Dicholkar & Frederik Zahle & Taeseong Kim, 2022. "Post-Optimum Sensitivity Analysis with Automatically Tuned Numerical Gradients Applied to Swept Wind Turbine Blades," Energies, MDPI, vol. 15(9), pages 1-19, April.
    16. Sun, Yang & Ahmadi, Younes & Kim, Ki-Hyun & Lee, Jechan, 2022. "The use of bismuth-based photocatalysts for the production of ammonia through photocatalytic nitrogen fixation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 170(C).
    17. Obida Zeitoun & Jamel Orfi & Salah Ud-Din Khan & Hany Al-Ansary, 2023. "Desalinated Water Costs from Steam, Combined, and Nuclear Cogeneration Plants Using Power and Heat Allocation Methods," Energies, MDPI, vol. 16(6), pages 1-28, March.
    18. 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).
    19. Hiltunen, Pauli & Syri, Sanna, 2021. "Low-temperature waste heat enabling abandoning coal in Espoo district heating system," Energy, Elsevier, vol. 231(C).
    20. Hao, Wenrui & Lu, Zhenzhou & Wei, Pengfei, 2013. "Uncertainty importance measure for models with correlated normal variables," Reliability Engineering and System Safety, Elsevier, vol. 112(C), pages 48-58.

    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:s0360544224031694. 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.