Economic analysis and power capacity factor estimation for an offshore wind farm in the Baltic Sea

Authors

  • Ziemowit Malecha Katedra Kriogeniki i Inżynierii Lotniczej, Wydział Mechaniczno Energetyczny, Politechnika Wrocławska, Wrocław Author https://orcid.org/0000-0001-8560-760X

DOI:

https://doi.org/10.36119/15.2023.1.1

Keywords:

wind farm, power utilization, losses, Jensen model, square-cube la

Abstract

The paper analyzes the possibilities of power production for offshore wind farms for the planned location in the Baltic Sea. In addition, a simplified economic analysis of such an investment was carried out. Real data of existing onshore and offshore installations, analyzes performed by renowned research centers such as the National Renewable Energy Laboratory (NREL) from the USA, or the Jensen model to estimate wind farm losses were used. It has been shown that the capacity factor for a wind farm in the Baltic Sea is about 46%, while wind farm losses can range from 12% to 18% depending on the size of the turbines. The conducted economic analysis showed that the return on investment costs strongly depends on the rated power of wind turbines and can range from several to dozen years.

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References

Lissaman, P.B.S.; Gyatt, G.W.; Zalay, A. Critical issues in the design and assessment of wind turbine arrays, 1982.

Gawronska, G.; Gawronski, K.; Król, K.; Gajecka, K. Wind farms in Poland – legal and location conditions. The case of Margonin wind farm. GLL Geomatics 2019, 3, 25–39. http://dx.doi.org/10.15576/GLL/2019.3.25.

DTI. Capital grants scheme for Scroby Sands offshore wind farm. Technical report, UK Government, 2006.

DTI. Capital grants scheme for North Hoyle offshore wind farm. Technical report, UK Government, 2006

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Published

2023-01-31

How to Cite

Malecha, Z. (2023). Economic analysis and power capacity factor estimation for an offshore wind farm in the Baltic Sea. Instal, 1, 4-11. https://doi.org/10.36119/15.2023.1.1

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