IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v262y2026ics0960148126002363.html

Optimization design of CSP particle receiver based on multi scale modeling: Comprehensive numerical and experimental study of photothermal performance

Author

Listed:
  • Xu, Xiaoyu
  • Yu, Qiang
  • Cheng, Fansheng
  • Li, Zihao
  • Shi, Bingyan
  • Zhang, Jie

Abstract

The particle receiver using solid particles as the heat transfer medium is considered the most critical energy conversion component in supercritical carbon dioxide solar thermal power generation systems, with its performance directly affects the efficiency of the system. Firstly, this study used Monte Carlo ray tracing method to establish a three-dimensional radiation convection coupling model, successfully predicting particle temperature dynamics, and revealing the variation of heat transfer efficiency with direct normal irradiance. Secondly, based on the coupled simulation of discrete element method and computational fluid dynamics, it was found that there is a significant low-speed region near the wall. The research results show that the direct normal irradiance >600W/m2, the heat transfer efficiency at 68%, and the optimal flow velocity range was determined through response surface optimization, which can improve the system efficiency by 28%. Finally, in order to verify the accuracy of the model, the outlet temperature of the particles was validated through a single tube free fall experiment. The results showed that the particle outlet temperature significantly increased with the decrease of flow rate, and the max error is 2.52 °C. These findings provide valuable theoretical guidance for the optimization design of tower power stations.

Suggested Citation

  • Xu, Xiaoyu & Yu, Qiang & Cheng, Fansheng & Li, Zihao & Shi, Bingyan & Zhang, Jie, 2026. "Optimization design of CSP particle receiver based on multi scale modeling: Comprehensive numerical and experimental study of photothermal performance," Renewable Energy, Elsevier, vol. 262(C).
  • Handle: RePEc:eee:renene:v:262:y:2026:i:c:s0960148126002363
    DOI: 10.1016/j.renene.2026.125411
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148126002363
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2026.125411?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

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:renene:v:262:y:2026:i:c:s0960148126002363. 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.

    We have no bibliographic references for this item. You can help adding them by using 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/renewable-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.