IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i4p1946-d1069813.html
   My bibliography  Save this article

Dynamic Thermal Transport Characteristics of a Real-Time Simulation Model for a 50 MW Solar Power Tower Plant

Author

Listed:
  • Haoyu Huang

    (School of Energy Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, China)

  • Ershu Xu

    (School of Energy Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, China
    Key Laboratory of Power Station Energy Transfer Conversion and System, North China Electric Power University, Ministry of Education, Beijing 102206, China)

  • Lengge Si

    (School of Energy Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, China)

  • Qiang Zhang

    (School of Electrical, Energy and Power Engineering, Yangzhou University, Yangzhou 225127, China)

  • Qiang Huang

    (CGN New Energy Holding Co., Ltd., Beijing 100070, China)

Abstract

A dynamic simulation model of a heliostat field and molten salt receiver system are developed on the STAR-90 simulation platform. In addition, a real-time simulation model coupling the above two models is built to study the photothermal conversion process of Delingha’s 50 MW solar power tower plant. The nonuniform and time-varying characteristics of the energy flux density on the receiver surface and the dynamic characteristics under different operating conditions are studied. The operational process of the receiver of a typical day is simulated. It was found that there was a strong positive correlation between the energy flux and DNI, and the maximum energy flux density on the surface of the heat absorbing tube panel moved from the first tube panel to the fourth in sequence from 12:00 to 18:00. At the same time, the energy flux density of the last four panels decreased gradually along the arrangement order of the panels. DNI, molten salt mass flow rate and inlet temperature step disturbance simulations are carried out, and the response curves of the molten salt outlet temperature and tube wall temperature are obtained. The conclusion of this paper has important guiding significance for the establishment of an operational strategy for photothermal coupling in a molten salt solar power tower plant.

Suggested Citation

  • Haoyu Huang & Ershu Xu & Lengge Si & Qiang Zhang & Qiang Huang, 2023. "Dynamic Thermal Transport Characteristics of a Real-Time Simulation Model for a 50 MW Solar Power Tower Plant," Energies, MDPI, vol. 16(4), pages 1-16, February.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:4:p:1946-:d:1069813
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/4/1946/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/4/1946/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yu, Qiang & Wang, Zhifeng & Xu, Ershu, 2014. "Analysis and improvement of solar flux distribution inside a cavity receiver based on multi-focal points of heliostat field," Applied Energy, Elsevier, vol. 136(C), pages 417-430.
    2. He, Ya-Ling & Qiu, Yu & Wang, Kun & Yuan, Fan & Wang, Wen-Qi & Li, Ming-Jia & Guo, Jia-Qi, 2020. "Perspective of concentrating solar power," Energy, Elsevier, vol. 198(C).
    3. Zhang, Qiang & Cao, Donghong & Ge, Zhihua & Du, Xiaoze, 2020. "Response characteristics of external receiver for concentrated solar power to disturbance during operation," Applied Energy, Elsevier, vol. 278(C).
    4. Xu, Li & Stein, Wesley & Kim, Jin-Soo & Wang, Zhifeng, 2018. "Three-dimensional transient numerical model for the thermal performance of the solar receiver," Renewable Energy, Elsevier, vol. 120(C), pages 550-566.
    5. Sánchez-González, Alberto & Santana, Domingo, 2015. "Solar flux distribution on central receivers: A projection method from analytic function," Renewable Energy, Elsevier, vol. 74(C), pages 576-587.
    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. Wang, Wen-Qi & Li, Ming-Jia & Jiang, Rui & Cheng, Ze-Dong & He, Ya-Ling, 2022. "A comparison between lumped parameter method and computational fluid dynamics method for steady and transient optical-thermal characteristics of the molten salt receiver in solar power tower," Energy, Elsevier, vol. 245(C).
    2. Zeng, Zhichen & Ni, Dong & Xiao, Gang, 2022. "Real-time heliostat field aiming strategy optimization based on reinforcement learning," Applied Energy, Elsevier, vol. 307(C).
    3. Wang, Kun & He, Ya-Ling & Qiu, Yu & Zhang, Yuwen, 2016. "A novel integrated simulation approach couples MCRT and Gebhart methods to simulate solar radiation transfer in a solar power tower system with a cavity receiver," Renewable Energy, Elsevier, vol. 89(C), pages 93-107.
    4. Huang, Weidong & Yu, Liang & Hu, Peng, 2019. "An analytical solution for the solar flux density produced by a round focusing heliostat," Renewable Energy, Elsevier, vol. 134(C), pages 306-320.
    5. Conroy, Tim & Collins, Maurice N. & Fisher, James & Grimes, Ronan, 2018. "Thermal and mechanical analysis of a sodium-cooled solar receiver operating under a novel heliostat aiming point strategy," Applied Energy, Elsevier, vol. 230(C), pages 590-614.
    6. Wang, Wen-Qi & Li, Ming-Jia & Cheng, Ze-Dong & Li, Dong & Liu, Zhan-Bin, 2021. "Coupled optical-thermal-stress characteristics of a multi-tube external molten salt receiver for the next generation concentrating solar power," Energy, Elsevier, vol. 233(C).
    7. Huang, Weidong & Sun, Lulening, 2016. "Solar flux density calculation for a heliostat with an elliptical Gaussian distribution source," Applied Energy, Elsevier, vol. 182(C), pages 434-441.
    8. Conroy, Tim & Collins, Maurice N. & Grimes, Ronan, 2020. "A review of steady-state thermal and mechanical modelling on tubular solar receivers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 119(C).
    9. Wang, Qiliang & Li, Guiqiang & Cao, Jingyu & Hu, Mingke & Pei, Gang & Yang, Hongxing, 2022. "An analytical study on optimal spectral characters of solar absorbing coating and thermal performance potential of solar power tower," Renewable Energy, Elsevier, vol. 200(C), pages 1300-1315.
    10. Wang, Wen-Qi & Qiu, Yu & Li, Ming-Jia & He, Ya-Ling & Cheng, Ze-Dong, 2020. "Coupled optical and thermal performance of a fin-like molten salt receiver for the next-generation solar power tower," Applied Energy, Elsevier, vol. 272(C).
    11. García, Jesús & Soo Too, Yen Chean & Padilla, Ricardo Vasquez & Beath, Andrew & Kim, Jin-Soo & Sanjuan, Marco E., 2018. "Dynamic performance of an aiming control methodology for solar central receivers due to cloud disturbances," Renewable Energy, Elsevier, vol. 121(C), pages 355-367.
    12. Sánchez-González, Alberto & Rodríguez-Sánchez, María Reyes & Santana, Domingo, 2018. "Aiming factor to flatten the flux distribution on cylindrical receivers," Energy, Elsevier, vol. 153(C), pages 113-125.
    13. Chen, Jinli & Xiao, Gang & Xu, Haoran & Zhou, Xin & Yang, Jiamin & Ni, Mingjiang & Cen, Kefa, 2022. "Experiment and dynamic simulation of a solar tower collector system for power generation," Renewable Energy, Elsevier, vol. 196(C), pages 946-958.
    14. Yang, Honglun & Li, Jing & Huang, Yihang & Kwan, Trevor Hocksun & Cao, Jingyu & Pei, Gang, 2020. "Feasibility research on a hybrid solar tower system using steam and molten salt as heat transfer fluid," Energy, Elsevier, vol. 205(C).
    15. Wang, Kun & He, Ya-Ling & Xue, Xiao-Dai & Du, Bao-Cun, 2017. "Multi-objective optimization of the aiming strategy for the solar power tower with a cavity receiver by using the non-dominated sorting genetic algorithm," Applied Energy, Elsevier, vol. 205(C), pages 399-416.
    16. Georgios E. Arnaoutakis & Dimitris Al. Katsaprakakis, 2021. "Concentrating Solar Power Advances in Geometric Optics, Materials and System Integration," Energies, MDPI, vol. 14(19), pages 1-25, September.
    17. Ashley, Thomas & Carrizosa, Emilio & Fernández-Cara, Enrique, 2017. "Optimisation of aiming strategies in Solar Power Tower plants," Energy, Elsevier, vol. 137(C), pages 285-291.
    18. Jin, Yabin & Fang, Jiabin & Wei, Jinjia & Qaisrani, Mumtaz A. & Wang, Xinhe, 2019. "Thermal performance evaluation of a cavity receiver based on particle's radiation properties during the day time," Renewable Energy, Elsevier, vol. 143(C), pages 622-636.
    19. Adis Puška & Miroslav Nedeljković & Branislav Dudić & Anđelka Štilić & Alexandra Mittelman, 2024. "Improving Agricultural Sustainability in Bosnia and Herzegovina through Renewable Energy Integration," Economies, MDPI, vol. 12(8), pages 1-15, July.
    20. Bai, Wengang & Li, Hongzhi & Zhang, Xuwei & Qiao, Yongqiang & Zhang, Chun & Gao, Wei & Yao, Mingyu, 2022. "Thermodynamic analysis of CO2–SF6 mixture working fluid supercritical Brayton cycle used for solar power plants," Energy, Elsevier, vol. 261(PB).

    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:jeners:v:16:y:2023:i:4:p:1946-:d:1069813. 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.