IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i11p2765-d1409205.html
   My bibliography  Save this article

A Theoretical Analysis of Meteorological Data as a Road towards Optimizing Wind Energy Generation

Author

Listed:
  • Olga Orynycz

    (Department of Production Management, Faculty of Engineering Management, Bialystok University of Technology, Wiejska Street 45A, 15-351 Bialystok, Poland)

  • Paweł Ruchała

    (Aerodynamics Department, Łukasiewicz Research Network—Institute of Aviation, Al. Krakowska 110/114, 02-256 Warszawa, Poland)

  • Karol Tucki

    (Department of Production Engineering, Institute of Mechanical Engineering, Warsaw University of Life Sciences, Nowoursynowska Street 164, 02-787 Warsaw, Poland)

  • Andrzej Wasiak

    (Advisors Panel Production Engineering, Alternative Energy Sources Bialystok, 15-351 Bialystok, Poland)

  • Máté Zöldy

    (Department of Automotive Technologies, Budapest University of Technology and Economics, Műegyetem rkp. 3., 1111 Budapest, Hungary)

Abstract

The development of wind energy has been observed for many years. Both construction firms and the scientific world are analyzing new design solutions, atmospheric conditions and the technical performance achieved. The main goal of this research is to evaluate the requirements that have to be met to design wind power stations that would be an optimal fit for the climatic conditions in Poland. This study combines the results of empirical studies on wind velocity distributions with the physical fundamentals of wind power station design. This paper presents modelling of the relationships between wind velocity distributions observed in Poland and technical requirements for wind power stations design. The wind velocities distributions for various locations in Poland are determined and expressed in Weibull distribution parameters. Theoretical computations concerning the dependence of wind power stations as function of wind speed and air’s physical properties are presented. Conclusions important for the design of power stations fitted to the atmospheric conditions in Poland are given. LabVIEW 2021 was used for computer modeling.

Suggested Citation

  • Olga Orynycz & Paweł Ruchała & Karol Tucki & Andrzej Wasiak & Máté Zöldy, 2024. "A Theoretical Analysis of Meteorological Data as a Road towards Optimizing Wind Energy Generation," Energies, MDPI, vol. 17(11), pages 1-17, June.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:11:p:2765-:d:1409205
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/11/2765/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/17/11/2765/
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Arkadiusz Małek & Andrzej Marciniak & Tomasz Bednarczyk, 2024. "Probabilistic Analysis of Electricity Production from a Photovoltaic–Wind Energy Mix for Sustainable Transport Needs," Sustainability, MDPI, vol. 16(23), pages 1-23, November.

    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:gam:jeners:v:17:y:2024:i:11:p:2765-:d:1409205. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.