Issue |
E3S Web Conf.
Volume 137, 2019
XIV Research & Development in Power Engineering (RDPE 2019)
|
|
---|---|---|
Article Number | 01049 | |
Number of page(s) | 6 | |
DOI | https://doi.org/10.1051/e3sconf/201913701049 | |
Published online | 16 December 2019 |
Analysis of offshore wind farm located on Baltic Sea
1
Institute of Heat Engineering, Warsaw University of Technology, Power Generation Strategic Analysis Department, PKN ORLEN, Poland
2
Power Generation Strategic Analysis Department, PKN ORLEN, Poland
3
Power Generation Strategic Analysis Department, PKN ORLEN, Poland
4
Power Generation Strategic Analysis Department, PKN ORLEN, Poland
5
Power Generation Strategic Analysis Department, PKN ORLEN, Poland
6
Institute of Heat Engineering, Warsaw University of Technology, Poland
* anna.sobotka@orlen.pl
* kajetan.chmielewski@orlen.pl
* marcin.rowicki@orlen.pl
* justyna.dudzinska@orlen.pl
* przemyslaw.janiak@orlen.pl
* krzysztof.badyda@itc.pw.edu.pl
Poland is currently at the beginning of the energy transformation. Nowadays, most of the electricity generated in Poland comes from coal combustion. However, in accordance to the European Union policy of reducing the emission of carbon dioxide to the atmosphere, there are already plans to switch to low-emission energy sources in Poland, one of which are offshore wind farms. The article presents the current regulatory environment of the offshore wind energy in Poland, along with a reference to Polish and European decarbonisation plans. In the further part of the article, the methods of determining the kinetic energy of wind and the power curve of a wind turbine are discussed. Then, on the basis of historical data of wind speeds collected in the area of the Baltic Sea, calculations are carried out leading to obtain statistical distributions of power that could be generated by an exemplary wind farm with a power capacity of 400 MW, located at the place of wind measurements. On their basis, statistical differences in the wind power generation between years, months of the year and hours of the day are analysed.
© The Authors, published by EDP Sciences, 2019
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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