Abstract
Abstract. Wind turbines in wind farms often operate in waked or partially waked conditions, which can greatly increase the fatigue damage. Some fatigue
considerations may be included, but currently a full fidelity analysis of the increased damage a turbine experiences in a wind farm is not
considered in wind farm layout optimization because existing models are too computationally expensive. In this paper, we present a model to
calculate fatigue damage caused by partial waking on a wind turbine that is computationally efficient and can be included in wind farm layout
optimization. The model relies on analytic velocity, turbulence, and load models commonly used in farm research and design, and it captures some of
the effects of turbulence on the fatigue loading. Compared to high-fidelity simulation data, our model accurately predicts the damage trends of
various waking conditions. We also perform example wind farm layout optimizations with our presented model in which we maximize the annual energy
production (AEP) of a wind farm while constraining the damage of the turbines in the farm. The results of our optimization show that the turbine
damage can be significantly reduced, more than 10 %, with only a small sacrifice of around 0.07 % to the AEP, or the damage can be reduced
by 20 % with an AEP sacrifice of 0.6 %.
Funder
U.S. Department of Energy
Subject
Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment
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