Articles | Volume 7, issue 1
https://doi.org/10.5194/wes-7-433-2022
https://doi.org/10.5194/wes-7-433-2022
Research article
 | 
03 Mar 2022
Research article |  | 03 Mar 2022

A model to calculate fatigue damage caused by partial waking during wind farm optimization

Andrew P. J. Stanley, Jennifer King, Christopher Bay, and Andrew Ning

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Gradient-Based Wind Farm Layout Optimization Results Compared with Large-Eddy Simulations
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Cited articles

Bastankhah, M. and Porté-Agel, F.: Experimental and theoretical study of wind turbine wakes in yawed conditions, J. Fluid Mech., 806, 506–541, 2016. a
Bernhammer, L. O., van Kuik, G. A., and De Breuker, R.: Fatigue and extreme load reduction of wind turbine components using smart rotors, J. Wind Eng. Ind. Aerod., 154, 84–95, 2016. a
Bossanyi, E. A.: Individual blade pitch control for load reduction, Wind Energy, 6, 119–128, 2003. a
Budynas, R. G. and Nisbett, J. K.: Shigley's mechanical engineering design, McGraw-Hill Education, New York, NY, USA, 2020. a
Churchfield, M. and Lee, S.: Wind Turbine Modeling and Simulation-SOWFA, National Renewable Energy Laboratory, https://www.nrel.gov/wind/nwtc/sowfa.html (last access: 24 February 2022), 2012. a
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Short summary
In this paper, we present a computationally inexpensive model to calculate wind turbine blade fatigue caused by waking and partial waking. The model accounts for steady state on the blade, as well as wind turbulence. The model is fast enough to be used in wind farm layout optimization, which has not been possible with more expensive fatigue models in the past. The methods introduced in this paper will allow for farms with increased energy production that maintain turbine structural reliability.
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