Author:
Borowski Sylwester,Migawa Klaudiusz,Sołtysiak Agnieszka,Neubauer Andrzej,Mazurkiewicz Anna
Abstract
The manuscript presents linear regression models used to predict the amount of energy produced in a wind turbine. As part of the own research, data obtained from the SCADA program for the Enercon E-82 wind turbine was analyzed. It has been shown that it is possible to build a mathematical model to determine the amount of energy generated from the average wind speed. This method can be used to forecast the production volume and balance the energy system. This is important due to the increasing share of renewable energy sources. The application of the developed method in practice will facilitate and accelerate the implementation of the decision-making process in electricity generation systems, while reducing the risk of error. This model can also be used to make wind turbine repowering decisions.
Reference14 articles.
1. Parsons B., Milligan M., Zavadil B., Brooks D., Kirby B., Dragoon K., and Caldwell J., Grid impacts of wind power: A summary of recent studies in the United States, in Proc. EWEC, Madrid, Spain, 2003.
2. Borowski S., Szubartowski M., Knopik L., Migawa K.: Wind turbine condition monitoring system as a source of diagnostic information. In Procedings of the 17th International Conference Diagnostics of Machines and Vehicles (2018) https://doi.org/10.1051/matecconf/201818201015
3. Blanco M.I., Renew. Sust. Energ. Rev. 13 (2009)
4. Szala G., Ligaj B., Fatigue failure and fracture mechanics, 69-76 (2012)
5. Migawa K., Knopik L., Sołtysiak A. Kolber P., The method of risk assessment in transport system. Engineering Mechanics (2017)
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