FAST User's Guide - Updated August 2005

Jonkman, Jason; Buhl, M. L.

doi:10.2172/15020796

Cited by 347 publications

(439 citation statements)

References 3 publications

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“…The turbine model employed in this work is the NREL 5MW turbine [19] and the simulations are carried out on FAST [20]. The high-fidelity turbine model is of much greater complexity than the model (25) employed in the estimator and with the exception of the yaw axis, all degrees-of-freedom were enabled, including flap-wise and edge-wise blade modes, in addition to the tower and shaft dynamics.…”

Section: Numerical Results and Discussionmentioning

confidence: 99%

Analysis and design of a tower motion estimator for wind turbines

Lio

Jones

Rossiter

2016

2016 IEEE International Conference on Renewable Energy Research and Applications (ICRERA)

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Abstract-The use of blade individual pitch control (IPC) provides a means of alleviating the harmful turbine loads that arise from the uneven and unsteady forcing from the oncoming wind. Such IPC algorithms, which mainly target the blade loads at specific frequencies, are designed to avoid excitations of other turbine dynamics such as the tower. Nonetheless, these blade and tower interactions can be exploited to estimate the tower movement from the blade load sensors. As a consequence, the aim of this paper is to analyse the observability properties of the blade and tower model and based on these insights, an estimator design is proposed to reconstruct the tower motion from the measurements of the flap-wise blade loads, that are typically available to the IPC. The proposed estimation strategy offers many immediate benefits, for example, the estimator obviates the need for hardware sensor redundancy, and the estimated signals can be used for control or fault monitoring purposes. We further show results obtained from high-fidelity turbine simulations to demonstrate the performance of the proposed estimator.

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Section: Numerical Results and Discussionmentioning

confidence: 99%

Analysis and design of a tower motion estimator for wind turbines

Lio

Jones

Rossiter

2016

2016 IEEE International Conference on Renewable Energy Research and Applications (ICRERA)

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“…The indicial response of several airfoil shapes is determined using a panel code, and then approximated by a two-term exponential function; the exponential function is similar to Jones's expression for the flat plate, and is defined by four indicial response coefficients, eq. (6).…”

Section: Resultsmentioning

confidence: 99%

“…Unsteady aerodynamic forces in attached flow are frequently described in the time domain using indicial formulations, as described by Beddoes [1] and Leishman [2]. Wind turbine simulation tools based on this approach include, among others, the aeroelastic code HAWC2 [3,4], Bladed [5], and FAST [6,7].…”

Section: Introductionmentioning

confidence: 99%

Indicial lift response function: an empirical relation for finite‐thickness airfoils, and effects on aeroelastic simulations

2012

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The aeroelastic response of wind turbines is often simulated in the time domain using indicial response techniques. Unsteady aerodynamics in attached flow are usually based on Jones's approximation of the flat plate indicial response, although the response for finite-thickness airfoils differs from the flat plate one.The indicial lift response of finite-thickness airfoils is simulated with a panel code, and an empirical relation is outlined connecting the airfoil indicial response to its geometric characteristics. The effects of different indicial approximations are evaluated on a 2D profile undergoing harmonic pitching motion in the attached flow region; the resulting lift forces are compared to Computational Fluid Dynamics (CFD) simulations. The relevance for aeroelastic simulations of a wind turbine is also evaluated, and the effects are quantified in terms of variations of equivalent fatigue loads, ultimate loads, and stability limits.The agreement with CFD computations of a 2D profile in harmonic motion is improved by the indicial function accounting for the finitethickness of the airfoil. Concerning the full wind turbine aeroelastic behavior, the differences between simulations based on Jones's and finitethickness indicial response functions are rather small; Jones's flat-plate approximation results in only slightly larger fatigue and ultimate loads, and lower stability limits.

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“…In order to take into account the spatial variability of wind speeds, it is common to take into account the coherence function which can be interpreted as the correlation measure of different spectra. According to Davenport [4], the vertical coherence can be expressed as:…”

Section: Spectral Description Of the Turbulent Wind Fieldmentioning

confidence: 99%

“…Time domain calculations have been performed using the FAST program [4]. Wind fields have been computed using TurbSim [3] for different average wind speeds.…”

Section: Time Domain Approachmentioning

confidence: 99%

Multivariate Stochastic Methods for the Structural Design of Wind Turbines

Kemper¹,

Escribano²

2015

Proceedings of the 5th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COM

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Abstract. In order to improve the structural design of steel towers for wind turbines, and in order to allow for detailed structural optimizations, a methodology is desirable which allows for quick and reliable considerations of the complex dynamic load situations. Whereat for the design of details for the machinery and the blade optimization time domain methods using multibody-simulations are well established, their usage is often to extensive due to the needed level of detail to use them for an iterative tower design. Especially with regard to lattice towers, it is therefore desirable to investigate faster stochastic methods which focus on the overall dynamic behavior based on the probability of structural stresses within the tower construction. For this aim, in the present paper a modern stochastic concept is presented and results are compared to NRELS FAST algorithm.

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FAST User's Guide - Updated August 2005

Cited by 347 publications

References 3 publications

Analysis and design of a tower motion estimator for wind turbines

Analysis and design of a tower motion estimator for wind turbines

Indicial lift response function: an empirical relation for finite‐thickness airfoils, and effects on aeroelastic simulations

Multivariate Stochastic Methods for the Structural Design of Wind Turbines

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