Next Article in Journal
Part-Load Performance of aWet Indirectly Fired Gas Turbine Integrated with an Organic Rankine Cycle Turbogenerator
Next Article in Special Issue
Analysis and Design Optimization of a Coaxial Surface-Mounted Permanent-Magnet Magnetic Gear
Previous Article in Journal
Modeling of the Electrical and Thermal Behaviors of an Ultracapacitor
Previous Article in Special Issue
Experimental and Numerical Study of the Aerodynamic Characteristics of an Archimedes Spiral Wind Turbine Blade
Article Menu

Export Article

Open AccessArticle
Energies 2014, 7(12), 8279-8293;

Fatigue Load Estimation through a Simple Stochastic Model

ForWind—Center for Wind Energy Research, Institute of Physics, Carl von Ossietzky University of Oldenburg, 26111 Oldenburg, Germany
Author to whom correspondence should be addressed.
Received: 1 August 2014 / Revised: 27 November 2014 / Accepted: 28 November 2014 / Published: 11 December 2014
(This article belongs to the Special Issue Wind Turbines 2014)
Full-Text   |   PDF [997 KB, uploaded 17 March 2015]


We propose a procedure to estimate the fatigue loads on wind turbines, based on a recent framework used for reconstructing data series of stochastic properties measured at wind turbines. Through a standard fatigue analysis, we show that it is possible to accurately estimate fatigue loads in any wind turbine within one wind park, using only the load measurements at one single turbine and the set of wind speed measurements. Our framework consists of deriving a stochastic differential equation that describes the evolution of the torque at one wind turbine driven by the wind speed. The stochastic equation is derived directly from the measurements and is afterwards used for predicting the fatigue loads for neighboring turbines. Such a framework could be used to mitigate the financial efforts usually necessary for placing measurement devices in all wind turbines within one wind farm. Finally, we also discuss the limitations and possible improvements of the proposed procedure. View Full-Text
Keywords: fatigue loads; stochastic modeling; Langevin equation fatigue loads; stochastic modeling; Langevin equation
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Lind, P.G.; Herráez, I.; Wächter, M.; Peinke, J. Fatigue Load Estimation through a Simple Stochastic Model. Energies 2014, 7, 8279-8293.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top