IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v111y2017icp732-739.html
   My bibliography  Save this article

Development of a PV performance model for power output simulation at minutely resolution

Author

Listed:
  • Li, Y.
  • Chen, X.M.
  • Zhao, B.Y.
  • Zhao, Z.G.
  • Wang, R.Z.

Abstract

Because of the transient and non-linear characteristics of solar irradiance, simulation at sub-hourly resolution, e.g., at the order of 10 min or less, becomes more essential. In this paper, a PV performance model at sub-hourly resolution based on global horizontal irradiance is developed and validated by the minutely on-site measurements under different weather conditions. Then, a simulation at minutely resolution is carried out for the year 2015 in Zhuhai, China. The results are compared with the simulation results at hourly resolution. It is found that simulation at minutely resolution can reflect the real characteristics of power output fluctuations. The differences of daily energy output between hourly and minutely resolution are in the range of −2%∼10%, and it seems that the higher values of daily clearness index will lead to higher values of daily differences. The differences of monthly and yearly energy output are −1∼7.5% and 2.46%, respectively. The differences for different time scales indicate that for a longer time period (e.g., one year), the simulated energy output at hourly resolution will go closer with that at minutely resolution.

Suggested Citation

  • Li, Y. & Chen, X.M. & Zhao, B.Y. & Zhao, Z.G. & Wang, R.Z., 2017. "Development of a PV performance model for power output simulation at minutely resolution," Renewable Energy, Elsevier, vol. 111(C), pages 732-739.
  • Handle: RePEc:eee:renene:v:111:y:2017:i:c:p:732-739
    DOI: 10.1016/j.renene.2017.04.049
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148117303567
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2017.04.049?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Siwei Lou & Wenqiang Chen & Danny H.W. Li & Mo Wang & Hainan Chen & Isaac Y.F. Lun & Dawei Xia, 2019. "Tilted Photovoltaic Energy Outputs in Outdoor Environments," Sustainability, MDPI, vol. 11(21), pages 1-17, October.
    2. Sato, Daisuke & Yamagata, Yuki & Hirata, Kenji & Yamada, Noboru, 2020. "Mathematical power-generation model of a four-terminal partial concentrator photovoltaic module for optimal sun-tracking strategy," Energy, Elsevier, vol. 213(C).
    3. Giovanni Nobile & Ester Vasta & Mario Cacciato & Giuseppe Scarcella & Giacomo Scelba & Agnese Giuseppa Federica Di Stefano & Giuseppe Leotta & Paola Maria Pugliatti & Fabrizio Bizzarri, 2020. "Performance Assessment of Large Photovoltaic (PV) Plants Using an Integrated State-Space Average Modeling Approach," Energies, MDPI, vol. 13(18), pages 1-27, September.
    4. Ahn, Hyeunguk, 2024. "A framework for developing data-driven correction factors for solar PV systems," Energy, Elsevier, vol. 290(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:renene:v:111:y:2017:i:c:p:732-739. 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.