IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v279y2023ics0360544223014263.html
   My bibliography  Save this article

Multimodel generalized predictive control of a heat-pipe reactor coupled with an open-air Brayton cycle

Author

Listed:
  • Jiang, Qingfeng
  • Liang, Wenlong
  • Zhu, Ze
  • Li, Yiliang
  • Wang, Pengfei

Abstract

The heat-pipe reactor is based on the design concept of a solid-state reactor, and has gradually become a preferred reactor type for future space nuclear power and new nuclear power technology applications. However, due to the all-solid-state assembly mode, dynamic and control characteristics of the heat-pipe reactor are different from those of traditional reactors. In this regard, the paper proposed a multimodel generalized predictive control (MMGPC) method for a heat-pipe reactor coupled with an open-air Brayton cycle. First, based on the dynamic characteristics, the control strategy of the heat-pipe reactor system was formulated. Then, decoupling controllers and generalized predictive controllers of the reactor power and rotating shaft speed were designed under the control strategy, and all the dependent models in the controllers were established with the multimodel modeling principle to construct the MMGPC system. Finally, to verify the performance of the control system, step load-change transients of the heat-pipe reactor system were simulated. The results demonstrates that the MMGPC method is applicable to and has excellent control performances for the heat-pipe reactor coupled with an open-air Brayton cycle.

Suggested Citation

  • Jiang, Qingfeng & Liang, Wenlong & Zhu, Ze & Li, Yiliang & Wang, Pengfei, 2023. "Multimodel generalized predictive control of a heat-pipe reactor coupled with an open-air Brayton cycle," Energy, Elsevier, vol. 279(C).
    • Handle: RePEc:eee:energy:v:279:y:2023:i:c:s0360544223014263
    DOI: 10.1016/j.energy.2023.128032
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544223014263
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2023.128032?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. Hou, Juan & Li, Haoran & Nord, Natasa & Huang, Gongsheng, 2023. "Model predictive control for a university heat prosumer with data centre waste heat and thermal energy storage," Energy, Elsevier, vol. 267(C).
    2. Li, Dazi & Yu, Yadi & Jin, Qibing & Gao, Zhiqiang, 2014. "Maximum power efficiency operation and generalized predictive control of PEM (proton exchange membrane) fuel cell," Energy, Elsevier, vol. 68(C), pages 210-217.
    3. Wang, Pengfei & Chen, Zhi & Liao, Longtao & Wan, Jiashuang & Wu, Shifa, 2020. "A multiple-model based internal model control method for power control of small pressurized water reactors," Energy, Elsevier, vol. 210(C).
    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. Víctor Sanz i López & Ramon Costa-Castelló & Carles Batlle, 2022. "Literature Review of Energy Management in Combined Heat and Power Systems Based on High-Temperature Proton Exchange Membrane Fuel Cells for Residential Comfort Applications," Energies, MDPI, vol. 15(17), pages 1-22, September.
    2. Xu, Shuhui & Wang, Yong & Wang, Zhi, 2019. "Parameter estimation of proton exchange membrane fuel cells using eagle strategy based on JAYA algorithm and Nelder-Mead simplex method," Energy, Elsevier, vol. 173(C), pages 457-467.
    3. Weijian Ding & Behzad Ebrahimi & Byoung-Do Kim & Connie L. Devenport & Amy E. Childress, 2024. "Analysis of Anthropogenic Waste Heat Emission from an Academic Data Center," Energies, MDPI, vol. 17(8), pages 1-20, April.
    4. Hui, Jiuwu & Yuan, Jingqi, 2022. "Load following control of a pressurized water reactor via finite-time super-twisting sliding mode and extended state observer techniques," Energy, Elsevier, vol. 241(C).
    5. Barzegari, Mohammad M. & Dardel, Morteza & Alizadeh, Ebrahim & Ramiar, Abas, 2016. "Reduced-order model of cascade-type PEM fuel cell stack with integrated humidifiers and water separators," Energy, Elsevier, vol. 113(C), pages 683-692.
    6. Joseph Oyekale & Mario Petrollese & Vittorio Tola & Giorgio Cau, 2020. "Impacts of Renewable Energy Resources on Effectiveness of Grid-Integrated Systems: Succinct Review of Current Challenges and Potential Solution Strategies," Energies, MDPI, vol. 13(18), pages 1-48, September.
    7. Wang, Linna & Chen, Chuqi & Chen, Lekang & Li, Zheng & Zeng, Wenjie, 2023. "A coordinated control methodology for small pressurized water reactor with steam dump control system," Energy, Elsevier, vol. 282(C).
    8. Sun, Li & Jin, Yuhui & You, Fengqi, 2020. "Active disturbance rejection temperature control of open-cathode proton exchange membrane fuel cell," Applied Energy, Elsevier, vol. 261(C).
    9. 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).
    10. Mohammadnia, Ali & Iov, Florin & Rasmussen, Morten Karstoft & Nielsen, Mads Pagh, 2024. "Feasibility assessment of next-generation smart district heating networks by intelligent energy management strategies," Energy, Elsevier, vol. 296(C).
    11. Wang, Pengfei & Zhang, Jiaxuan & Wan, Jiashuang & Wu, Shifa, 2022. "A fault diagnosis method for small pressurized water reactors based on long short-term memory networks," Energy, Elsevier, vol. 239(PC).
    12. Kai Xiao & Yiliang Li & Pengcheng Yang & Ying Zhang & Yang Zhao & Xiaofei Pu, 2022. "Study on IMC-PID Control of Once-Through Steam Generator for Small Fast Reactor," Energies, MDPI, vol. 15(20), pages 1-20, October.
    13. Büyük, Mehmet & İnci, Mustafa, 2023. "Improved drift-free P&O MPPT method to enhance energy harvesting capability for dynamic operating conditions of fuel cells," Energy, Elsevier, vol. 267(C).
    14. Ieva Pakere & Dagnija Blumberga & Anna Volkova & Kertu Lepiksaar & Agate Zirne, 2023. "Valorisation of Waste Heat in Existing and Future District Heating Systems," Energies, MDPI, vol. 16(19), pages 1-22, September.
    15. Li, Qi & Wang, Tianhong & Li, Shihan & Chen, Weirong & Liu, Hong & Breaz, Elena & Gao, Fei, 2021. "Online extremum seeking-based optimized energy management strategy for hybrid electric tram considering fuel cell degradation," Applied Energy, Elsevier, vol. 285(C).
    16. Iranzo, Alfredo & Boillat, Pierre & Biesdorf, Johannes & Salva, Antonio, 2015. "Investigation of the liquid water distributions in a 50 cm2 PEM fuel cell: Effects of reactants relative humidity, current density, and cathode stoichiometry," Energy, Elsevier, vol. 82(C), pages 914-921.
    17. Dong, Zhe & Li, Bowen & Li, Junyi & Guo, Zhiwu & Huang, Xiaojin & Zhang, Yajun & Zhang, Zuoyi, 2021. "Flexible control of nuclear cogeneration plants for balancing intermittent renewables," Energy, Elsevier, vol. 221(C).
    18. Dong, Zhe & Li, Bowen & Huang, Xiaojin & Dong, Yujie & Zhang, Zuoyi, 2022. "Power-pressure coordinated control of modular high temperature gas-cooled reactors," Energy, Elsevier, vol. 252(C).
    19. Cui, Chengcheng & Zhang, Junli & Shen, Jiong, 2023. "System-level modeling, analysis and coordinated control design for the pressurized water reactor nuclear power system," Energy, Elsevier, vol. 283(C).
    20. Taler, Dawid & Sobota, Tomasz & Jaremkiewicz, Magdalena & Taler, Jan, 2022. "Control of the temperature in the hot liquid tank by using a digital PID controller considering the random errors of the thermometer indications," Energy, Elsevier, vol. 239(PE).

    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:279:y:2023:i:c:s0360544223014263. 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.