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Energies 2012, 5(7), 2071-2092; doi:10.3390/en5072071
Article

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

1
,
2
 and
3,*
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)
Download PDF [3323 KB, 17 March 2015; original version 17 March 2015]

Abstract

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.
Keywords: large-eddy simulation; stochastic simulation; wind turbine loads large-eddy simulation; stochastic simulation; wind turbine loads
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.

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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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