IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v293y2024ics0360544224003682.html
   My bibliography  Save this article

Effects of wind on cooling and performance of photovoltaic arrays: A case study CFD modeling

Author

Listed:
  • Nahani, P.
  • Eslami, M.
  • Hamzehzarghani, R.

Abstract

As photovoltaic (PV) power plants become more popular, it is important to understand how wind affects the temperature distribution and consequently performance of modules placed in different rows of a PV array. This study conducts a comprehensive three dimensional CFD simulation for two 5 by 10 PV arrays (with and without inter-row module spacing) to assess the effects of wind on PV array power output. By solving the continuity, momentum, and energy equations simultaneously, the temperature distribution in the PV modules and the surrounding air along with the resulting velocity profiles are obtained and investigated for two wind directions (northerly and southerly) and two wind speeds of 2 and 5 m/s. The electrical output of PV modules for the respective cases are then compared. The results show that the PV array with zero inter-row module spacing performs better under northerly wind and experiences a 5.3% increase in power output with increasing wind speed. However, the PV array with 3 cm spacing performs better under southerly wind and experiences a 4.6% increase in power output with increasing wind speed. It is found that the PV array with inter-row spacing generally performs better than the one with zero inter-row module spacing.

Suggested Citation

  • Nahani, P. & Eslami, M. & Hamzehzarghani, R., 2024. "Effects of wind on cooling and performance of photovoltaic arrays: A case study CFD modeling," Energy, Elsevier, vol. 293(C).
    • Handle: RePEc:eee:energy:v:293:y:2024:i:c:s0360544224003682
    DOI: 10.1016/j.energy.2024.130596
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544224003682
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2024.130596?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. Nižetić, S. & Grubišić- Čabo, F. & Marinić-Kragić, I. & Papadopoulos, A.M., 2016. "Experimental and numerical investigation of a backside convective cooling mechanism on photovoltaic panels," Energy, Elsevier, vol. 111(C), pages 211-225.
    2. Gökmen, Nuri & Hu, Weihao & Hou, Peng & Chen, Zhe & Sera, Dezso & Spataru, Sergiu, 2016. "Investigation of wind speed cooling effect on PV panels in windy locations," Renewable Energy, Elsevier, vol. 90(C), pages 283-290.
    3. Talaat, M. & Farahat, M.A. & Elkholy, M.H., 2019. "Renewable power integration: Experimental and simulation study to investigate the ability of integrating wave, solar and wind energies," Energy, Elsevier, vol. 170(C), pages 668-682.
    4. Hu, Weiwei & Li, Xingcai & Wang, Juan & Tian, Zihang & Zhou, Bin & Wu, Jinpeng & Li, Runmin & Li, Wencang & Ma, Ning & Kang, Jixuan & Wang, Yong & Tian, Jialong & Dai, Jibin, 2022. "Experimental research on the convective heat transfer coefficient of photovoltaic panel," Renewable Energy, Elsevier, vol. 185(C), pages 820-826.
    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. Wu, Jinshun & Zhang, Xingxing & Shen, Jingchun & Wu, Yupeng & Connelly, Karen & Yang, Tong & Tang, Llewellyn & Xiao, Manxuan & Wei, Yixuan & Jiang, Ke & Chen, Chao & Xu, Peng & Wang, Hong, 2017. "A review of thermal absorbers and their integration methods for the combined solar photovoltaic/thermal (PV/T) modules," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 839-854.
    2. Talaat, M. & Hatata, A.Y. & Alsayyari, Abdulaziz S. & Alblawi, Adel, 2020. "A smart load management system based on the grasshopper optimization algorithm using the under-frequency load shedding approach," Energy, Elsevier, vol. 190(C).
    3. Brumana, Giovanni & Franchini, Giuseppe & Ghirardi, Elisa & Perdichizzi, Antonio, 2022. "Techno-economic optimization of hybrid power generation systems: A renewables community case study," Energy, Elsevier, vol. 246(C).
    4. Elkholy, M.H. & Metwally, Hamid & Farahat, M.A. & Senjyu, Tomonobu & Elsayed Lotfy, Mohammed, 2022. "Smart centralized energy management system for autonomous microgrid using FPGA," Applied Energy, Elsevier, vol. 317(C).
    5. Wang, Zhaohua & Li, Yi & Wang, Ke & Huang, Zhimin, 2017. "Environment-adjusted operational performance evaluation of solar photovoltaic power plants: A three stage efficiency analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 1153-1162.
    6. Lopez, A. & Ogayar, B. & Hernández, J.C. & Sutil, F.S., 2020. "Survey and assessment of technical and economic features for the provision of frequency control services by household-prosumers," Energy Policy, Elsevier, vol. 146(C).
    7. Wang, Kunlin & Wang, Zhe & Sheng, Songwei & Zhang, Yaqun & Wang, Zhenpeng & Ye, Yin & Wang, Wensheng & Lin, Hongjun & Huang, Zhenxin, 2023. "A method for large-scale WEC connecting to island isolated microgrid based on multiple small power HPGSs," Renewable Energy, Elsevier, vol. 218(C).
    8. Talka, Ismo & Kolhe, Mohan & Hyttinen, Jarkko, 2017. "Impact of wind speed on ventilation performance within a container installed with photovoltaic inverter," Renewable Energy, Elsevier, vol. 113(C), pages 1480-1489.
    9. Santhakumari, Manju & Sagar, Netramani, 2019. "A review of the environmental factors degrading the performance of silicon wafer-based photovoltaic modules: Failure detection methods and essential mitigation techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 110(C), pages 83-100.
    10. Wang, Jing-Yi & Qian, Zheng & Zareipour, Hamidreza & Wood, David, 2018. "Performance assessment of photovoltaic modules based on daily energy generation estimation," Energy, Elsevier, vol. 165(PB), pages 1160-1172.
    11. Ioan Aschilean & Gabriel Rasoi & Maria Simona Raboaca & Constantin Filote & Mihai Culcer, 2018. "Design and Concept of an Energy System Based on Renewable Sources for Greenhouse Sustainable Agriculture," Energies, MDPI, vol. 11(5), pages 1-12, May.
    12. Kaddoura, Tarek O. & Ramli, Makbul A.M. & Al-Turki, Yusuf A., 2016. "On the estimation of the optimum tilt angle of PV panel in Saudi Arabia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 626-634.
    13. Elkholy, M.H. & Senjyu, Tomonobu & Elymany, Mahmoud & Gamil, Mahmoud M. & Talaat, M. & Masrur, Hasan & Ueda, Soichiro & Lotfy, Mohammed Elsayed, 2024. "Optimal resilient operation and sustainable power management within an autonomous residential microgrid using African vultures optimization algorithm," Renewable Energy, Elsevier, vol. 224(C).
    14. Zhang, Wen-Yi & Chen, Yue & Wang, Yi & Xu, Yunjian, 2023. "Equilibrium analysis of a peer-to-peer energy trading market with shared energy storage in a power transmission grid," Energy, Elsevier, vol. 274(C).
    15. Sungha Yoon & Jintae Park & Chaeyoung Lee & Sangkwon Kim & Yongho Choi & Soobin Kwak & Hyundong Kim & Junseok Kim, 2023. "Optimal Orientation of Solar Panels for Multi-Apartment Buildings," Mathematics, MDPI, vol. 11(4), pages 1-16, February.
    16. Alberto Benato & Anna Stoppato, 2019. "An Experimental Investigation of a Novel Low-Cost Photovoltaic Panel Active Cooling System," Energies, MDPI, vol. 12(8), pages 1-24, April.
    17. Yee Van Fan & Zorka Novak Pintarič & Jiří Jaromír Klemeš, 2020. "Emerging Tools for Energy System Design Increasing Economic and Environmental Sustainability," Energies, MDPI, vol. 13(16), pages 1-25, August.
    18. Hameedullah Zaheb & Mikaeel Ahmadi & Nisar Ahmad Rahmany & Mir Sayed Shah Danish & Habibullah Fedayi & Atsushi Yona, 2023. "Optimal Grid Flexibility Assessment for Integration of Variable Renewable-Based Electricity Generation," Sustainability, MDPI, vol. 15(20), pages 1-24, October.
    19. Sharma, Manoj Kumar & Bhattacharya, Jishnu, 2020. "A novel stationary concentrator to enhance solar intensity with absorber-only single axis tracking," Renewable Energy, Elsevier, vol. 154(C), pages 976-985.
    20. Liu, Junwei & Tang, Huajie & Zhang, Debao & Jiao, Shifei & Zhou, Zhihua & Zhang, Zhuofen & Ling, Jihong & Zuo, Jian, 2020. "Performance evaluation of the hybrid photovoltaic-thermoelectric system with light and heat management," Energy, Elsevier, vol. 211(C).

    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:293:y:2024:i:c:s0360544224003682. 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.