Simple mathematical model to predict the amount of energy produced in wind turbine - preliminary study

Author:

Borowski Sylwester,Soltysiak Agnieszka,Migawa Klaudiusz,Neubauer Andrzej

Abstract

The manuscript presents a simple mathematical model for predicting the amount of energy produced in a wind turbine. As part of the own research, the 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 produced from the average wind speed. This method will be primarily useful for forecasting the volume of production as well as electricity demand, with particular emphasis on renewable energy sources. The application of the developed method in practice will facilitate and accelerate the implementation of the decision-making process in electricity production systems, while reducing the risk of error. This model can also be used to make repowering decisions.

Publisher

EDP Sciences

Subject

General Medicine

Reference13 articles.

1. Parsons B., Milligan M., Zavadil B., Brooks D., Kirby B., Dragoon K., 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).

3. Blanco M.I., Renew. Sust. Energ. Rev. 13, (2009).

4. Szala G., Ligaj B., Fatigue failure and fracture mechanics, p. 69-76, (2012).

5. Migawa K., Knopik L., Soltysiak A. Kolber P., The method of risk assessment in transport system, Engineering Mechanics, (2017).

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