Abstract

This paper deals with the statistical structure, seasonal peculiarities of wind climate at meteorological station Play (in Ukrainian: метеорологічна станція Плай, location: 48°40’1” N; 23°11’51” E, 1330 m above sea level) located in the Polonyna Borzhava Mountain of the North-Eastern Carpathians. Furthermore, it determines significant parameters of exploiting wind energy. Weibull distribution was applied to determine specific wind power and characterize its annual course. Wind speed was analyzed together with the available daily and yearly course of wind power. Wind power density determined by means of distribution parameters at Play is 169.0 W/m2 and 8.0-9.0 m/s winds yield most energy over the year. The minimum number of energetically utilizable wind hours is in summer, while its maximum is in spring. On the territory represented by the measuring point, a 3 m/s start-up speed wind turbine could operate 63% time over the year. Finally, the periods were specified, and those wind directions were chosen that are richer in wind energy than others. The most frequent characteristic wind direction with the highest mean velocity in each season is south-western; its average relative frequency is 34.4%. Mean speed of characteristic wind directions is 5.8 m/s. South-western wind direction yields 47% of the total energy.

Highlights

  • Among renewable energy resources a very useful and efficiently renewable is wind energy, which is available and significantly contributes to many countries’ diversification of energy production

  • Volume 1, Issue 2, 2020: pp. 136-146 can be calculated at meteorological stations, based on detailed statistical analysis and/or model calculations of wind data

  • According to EWEA (European Wind Energy Association) report in 2019 15.2 GW new wind turbine capacities were put into operation in Europe (11.6 GW onshore and 3.6 GW offshore)

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Summary

Introduction

Among renewable energy resources a very useful and efficiently renewable is wind energy, which is available and significantly contributes to many countries’ diversification of energy production. According to GWEC (Global Wind Energy Council) (2020) data, at the end of year 2019, the world’s cumulated wind park capacity reached 621.4 GW. According to EWEA (European Wind Energy Association) report in 2019 15.2 GW new wind turbine capacities were put into operation in Europe (11.6 GW onshore and 3.6 GW offshore). According to UWEA (Ukrainian Wind Energy Association) report (2020), the cumulated wind park capacity in Ukraine reached 1.1 GW. This study aims at analyzing the statistical structure of the measuring point’s wind climate, from the standpoint of wind energy. It provides significant data for further wind energy research and for decision-making of investments, as well

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