IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v228y2024ics0960148124006414.html
   My bibliography  Save this article

Numerical investigation and optimization of a multi-stage Tesla-valve channel based photovoltaic/thermal module

Author

Listed:
  • Zhao, Yang
  • Wang, Ranxu
  • Gao, Dan
  • Chen, Haiping
  • Zhang, Heng

Abstract

As an essential form of solar energy utilization, photovoltaic/thermal modules (PV/T) have higher efficiency than solely photovoltaic or photothermal. With regard to the heat recovery issues of PV/T, a novel thermal management method by utilizing a Tesla-valve channel is proposed. Besides, the effect of channel number, Tesla-valve number, solar irradiation, water inlet velocity, as well as water inlet temperature are analyzed using a thermal-electrical-flow coupling CFD simulation. In comparison to the straight channel and zig-zag channel PV/T, reverse multi-stage Tesla-valve channel based PV/T (MSTV-PV/T) can further enhance the solar cell panel efficiency and reduce thermal stress with decreasing max and average temperature of solar cell panel by over 4.5 % and 3 %, respectively. Utilizing response surface methodology, the optimization of MSTV-PV/T performance is conducted with respect to both single and multi-objective criteria. Channel number 8 is the optimal design parameter for all optimization objectives, the maximum output thermal energy, output thermal exergy, and output electrical energy/exergy of the proposed MSTV-PV/T module can be achieved to 1376.34W, 76.74 W, and 432.86 W, respectively.

Suggested Citation

  • Zhao, Yang & Wang, Ranxu & Gao, Dan & Chen, Haiping & Zhang, Heng, 2024. "Numerical investigation and optimization of a multi-stage Tesla-valve channel based photovoltaic/thermal module," Renewable Energy, Elsevier, vol. 228(C).
    • Handle: RePEc:eee:renene:v:228:y:2024:i:c:s0960148124006414
    DOI: 10.1016/j.renene.2024.120573
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148124006414
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2024.120573?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.

    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:228:y:2024:i:c:s0960148124006414. 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.