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On Space-Time Resolution of Inflow Representations for Wind Turbine Loads Analysis

School of Civil Engineering, Purdue University, West Lafayette, IN 47907, USA
Department of Marine, Earth, and Atmospheric Sciences, North Carolina State University, Raleigh, NC 27695, USA
Department of Civil, Architectural and Environmental Engineering, University of Texas, Austin, TX 78712, USA
Author to whom correspondence should be addressed.
Energies 2012, 5(7), 2071-2092;
Received: 13 April 2012 / Revised: 30 May 2012 / Accepted: 15 June 2012 / Published: 25 June 2012
(This article belongs to the Special Issue Wind Turbines)
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Efficient spatial and temporal resolution of simulated inflow wind fields is important in order to represent wind turbine dynamics and derive load statistics for design. Using Fourier-based stochastic simulation of inflow turbulence, we first investigate loads for a utility-scale turbine in the neutral atmospheric boundary layer. Load statistics, spectra, and wavelet analysis representations for different space and time resolutions are compared. Next, large-eddy simulation (LES) is employed with space-time resolutions, justified on the basis of the earlier stochastic simulations, to again derive turbine loads. Extreme and fatigue loads from the two approaches used in inflow field generation are compared. On the basis of simulation studies carried out for three different wind speeds in the turbine’s operating range, it is shown that inflow turbulence described using 10-meter spatial resolution and 1 Hz temporal resolution is adequate for assessing turbine loads. Such studies on the investigation of adequate filtering or resolution of inflow wind fields help to establish efficient strategies for LES and other physical or stochastic simulation needed in turbine loads studies. View Full-Text
Keywords: large-eddy simulation; stochastic simulation; wind turbine loads large-eddy simulation; stochastic simulation; wind turbine loads

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Sim, C.; Basu, S.; Manuel, L. On Space-Time Resolution of Inflow Representations for Wind Turbine Loads Analysis. Energies 2012, 5, 2071-2092.

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