Issue |
E3S Web Conf.
Volume 154, 2020
6th International Conference – Renewable Energy Sources (ICoRES 2019)
|
|
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Article Number | 06002 | |
Number of page(s) | 10 | |
Section | Wind and Water Energy | |
DOI | https://doi.org/10.1051/e3sconf/202015406002 | |
Published online | 09 March 2020 |
Research of the variable natural potential of the wind and energy energy in the northern strip of the ukrainian carpathians
1
Lviv National Agrarian University, 80381 Dublyany, Ukraine
2
Lviv State University of Life Safety, 79007 Lviv, Ukraine
3
State Agrarian and Engineering University in Podilia, 32300 Kamianets-Podilskyi, Ukraine
The expediency of studying the varying potential of wind and solar energy in the northern strip of the Ukrainian Carpathians is substantiated. The technique of conducting experiments to determine the natural potential of wind and solar energy is proposed and a model for determining the relative volumes of electricity generation by wind farms and solar electrical installations is developed. Based on the conducted research, according to the Drohobych meteorological station, an energy assessment of wind and solar energy resources in the northern strip of the Ukrainian Carpathians was performed. It is substantiated that the theoretical curves of distribution of wind velocity in separate quarters of the year in the territory of the northern strip of the Ukrainian Carpathians are described by the Weibull distributions. Based on the calculations, it is established that the highest total daily solar radiation is in the summer months. Daily graphs of the relative generation of electricity by wind farms and solar electric installations have been constructed. The expediency of formation of combined systems of energy supply of objects from wind and solar energy in the northern strip of the Ukrainian Carpathians has been established. The substantiated patterns of change in the natural potential of wind and solar energy, as well as the graphs of the relative generation of electricity from them, will significantly speed up managerial decisions and improve their quality.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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