IDEAS home Printed from https://ideas.repec.org/p/sau/iznews/2104.html
   My bibliography  Save this paper

Development of innovative satellite-based methods for improved PV yield prediction on different time scales for distribution grid level applications (MetPVNet)

Author

Listed:
  • Stefanie Meilinger
  • Anna Herman-Czezuch
  • Nicola Kimiaie
  • Christopher Schirrmeister
  • Rone Yousif
  • Stefan Geiss
  • Leonhard Scheck
  • Martin Weissmann
  • Felix Gödde
  • Bernhard Mayer
  • Tobias Zinner
  • James Barry
  • Klaus Pfeilsticker
  • Markus Kraiczy
  • Kevin Winter
  • Abdullah Altayara
  • Christian Reise
  • Mariella Rivera
  • Hartwig Deneke
  • Jonas Witthuhn
  • Jethro Betcke
  • Marion Schroedter-Homscheidt
  • Philipp Hofbauer
  • Bernhard Rindt

Abstract

In the research project "MetPVNet", both, the forecast-based operation management in distribution grids and as well as the forecasts of the feed-in of PV-power from decentralized plants could be improved on the basis of satellite data and numerical weather forecasts. Based on a detailed network analyses for a real medium-voltage grid area, it was shown that both – the integration of forecast data based on satellite and weather data and the improvement of subsequent day forecasts based on numerical weather models – have a significant added value for forecast-based congestion management or redispatch and reactive power management in the distribution grid. Furthermore, forecast improvements for the forecast model of the German Weather Service were achieved by assimilating visible satellite imagery, and cloud and radiation products from satellites were improved, thus improving the database for short-term forecasting as well as for assimilation. In addition, several methods have been developed that will enable forecast improvement in the future, especially for weather situations with high cloud induced variability and high forecast errors. This article summarizes the most important project results.

Suggested Citation

  • Stefanie Meilinger & Anna Herman-Czezuch & Nicola Kimiaie & Christopher Schirrmeister & Rone Yousif & Stefan Geiss & Leonhard Scheck & Martin Weissmann & Felix Gödde & Bernhard Mayer & Tobias Zinner &, 2021. "Development of innovative satellite-based methods for improved PV yield prediction on different time scales for distribution grid level applications (MetPVNet)," IZNE Working Paper Series 21/4, International Centre for Sustainable Development (IZNE), Bonn-Rhein-Sieg University of Applied Sciences.
    • Handle: RePEc:sau:iznews:2104
    DOI: 10.18418/978-3-96043-094-0
    as

    Download full text from publisher

    File URL: https://pub.h-brs.de/frontdoor/deliver/index/docId/6039/file/IZNE_WP21-4.pdf
    File Function: Download
    Download Restriction: no
    File URL: https://libkey.io/10.18418/978-3-96043-094-0?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
    ---><---

    More about this item

    Keywords

    Distribution grid management; photovoltaics; generation forecast; satellite products; numerical weather prediction; radiation; cloud parameters; reflectance; COD; AOD; radiation variability; spectral influence; Si reference cells; inversion; energy meteorology;
    All these keywords.

    JEL classification:

    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q47 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy Forecasting

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:sau:iznews:2104. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/izfrbde.html .

    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.