Climatic conditions of wind energy use in the Polonyna Borzhava Mountains (Transcarpathia, Ukraine)

Author:

Hadnagy István

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.

Publisher

Genesis Sustainable Future Ltd.

Reference42 articles.

1. Ahmed, A., Ademola Bello, A., Habou, D. “An evaluation of wind energy potential in the northern and southern regions of Nigeria on the basis of Weibull and Rayleigh models”. American Journal of Energy Engineering 2013, 1(3): 37-42.

2. Bartholy, J. and Radics, K. (eds.) 2000 “A szélenergia hasznosítás lehetőségei a Kárpát-medencében [Possibilities of utilizing wind energy in the Carpathian Basin]”. Egyetemi Meteorológiai Füzetek, 14, Budapest (in Hung.)

3. Costa Rocha, P.A., Coelho de Sousa, R., Freitas de Andrade, C., Vieira da Silva, M.E. “Comparison of seven numerical methods for determining Weibull parameters for wind energy generation in the northeast region of Brazil”. Applied Energy 2012, 89: 395-400.

4. Dmytrenko, L. and Barandych, S. Vitroenerhetychni resursy v Ukraiini [Wind power resources in Ukraine]. Nauk. praci Ukrayinskoho naukovo-doslidnoho hidrometeorolohichnoho instytutu. Nauk. visnyk [Scien. works of the Ukrainian Research Hydrometeorological Institute. Scientific Herald] 2007, 256: 166-173. (in Ukr.)

5. EWEA (European Wind Energy Association) (2020) “Wind energy in Europe in 2019 - Trends and statistics. https://windeurope.org/data-and-analysis/product/wind-energy-in-europe-in-2019-trends-and-statistics/ (Accessed on February 2020)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3