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

Olga Orynycz (), Paweł Ruchała, Karol Tucki (), Andrzej Wasiak and Máté Zöldy
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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

Energies, 2024, vol. 17, issue 11, 1-17

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.

Keywords: wind turbine; energy; turbine efficiency; power; calculation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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