Wake center position tracking using downstream wind turbine hub loads

Cacciola, Stefano; Bertelè, Marta; Schreiber, Johannes; Bottasso, Carlo L.

doi:10.1088/1742-6596/753/3/032036

Cited by 8 publications

(11 citation statements)

References 5 publications

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“…Similarly, for the same upflow and misalignment angles, the rotor response will be the same with a 90 • shift. This symmetry in the behavior of the rotor can be exploited to simplify the identification problem, as shown in Cacciola et al (2016a). Table 1 reports the expected variances of the wind state estimation errors for the three considered noise variances.…”

Section: Results Of the A Priori Analysismentioning

confidence: 99%

See 1 more Smart Citation

Wind inflow observation from load harmonics

Bertelè¹,

Bottasso

Cacciola

et al. 2017

Wind Energ. Sci.

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Abstract. The wind field leaves its fingerprint on the rotor response. This fact can be exploited by using the rotor as a sensor: by looking at the rotor response, in the present case in terms of blade loads, one may infer the wind characteristics. This paper describes a wind state observer that estimates four wind parameters, namely the vertical and horizontal shears and the yaw and upflow misalignment angles, from out-of-plane and in-plane blade bending moments. The resulting observer provides on-rotor wind inflow characteristics that can be exploited for wind turbine and wind farm control. The proposed formulation is evaluated through extensive numerical simulations in turbulent and nonturbulent wind conditions using a high-fidelity aeroservoelastic model of a multi-MW wind turbine.

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Section: Results Of the A Priori Analysismentioning

confidence: 99%

“…The concept of the wind turbine as a wind sensor was recently extended to the detection of wake impingement in Bottasso et al ( , 2018 and Cacciola et al (2016a), where loads are used to detect if and where a wake shed by an upstream wind turbine interferes with the rotor.…”

Section: Introductionmentioning

confidence: 99%

Wind inflow observation from load harmonics

Bertelè¹,

Bottasso

Cacciola

et al. 2017

Wind Energ. Sci.

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show abstract

“…where m indicates the blade bending moment, subscripts (•) 1s and (•) 1c , respectively, indicate sine and cosine harmonics, while superscripts (•) OP and (•) IP , respectively, out-and inplane components. The load harmonics are readily computed via the Coleman and Feingold transformation (Coleman and Feingold, 1958) once three measured blade loads are available. For simplicity and brevity, the present paper only considers a linear wind-response map.…”

Section: Wind Observer Formulationmentioning

confidence: 99%

Brief communication: Wind inflow observation from load harmonics – wind tunnel validation of the rotationally symmetric formulation

2019

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Abstract. The present paper further develops and experimentally validates the previously published idea of estimating the wind inflow at a turbine rotor disk from the machine response. A linear model is formulated that relates one per revolution (1P) harmonics of the in- and out-of-plane blade root bending moments to four wind parameters, representing vertical and horizontal shears and misalignment angles. Improving on this concept, the present work exploits the rotationally symmetric behavior of the rotor in the formulation of the load-wind model. In a nutshell, this means that the effects on the loads of the vertical shear and misalignment are the same as those of the horizontal quantities, simply shifted by π∕2. This results in a simpler identification of the model, which needs a reduced set of observations. The performance of the proposed method is first tested in a simulation environment and then validated with an experimental data set obtained with an aeroelastically scaled turbine model in a boundary layer wind tunnel.

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“…Motivated by the very promising validation results both in simulations and in the field, the present paper extends and improves the formulation of Bottasso and Riboldi (2014) and Cacciola et al (2016b) with the goal of addressing some of their weaknesses.…”

Section: Introductionmentioning

confidence: 99%

Wind inflow observation from load harmonics

Bertelè¹,

Bottasso²,

Cacciola³

et al. 2017

Preprint

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The wind field leaves its fingerprint on the rotor response. This fact can be exploited by using the rotor as a sensor: by looking at the rotor response, in the present case in terms of blade loads, one may infer the wind characteristics. This paper describes a wind state observer that estimates four wind parameters, namely the vertical and horizontal shears and the yaw and upflow misalignment angles, from out-of-plane and in-plane blade bending moments. The resulting observer provides on-rotor wind inflow characteristics that can be exploited for wind turbine and wind farm control. The proposed formulation is evaluated through extensive numerical simulations in turbulent and nonturbulent wind conditions using a high-fidelity aeroservoelastic model of a multi-MW wind turbine

show abstract

Wake center position tracking using downstream wind turbine hub loads

Cited by 8 publications

References 5 publications

Wind inflow observation from load harmonics

Wind inflow observation from load harmonics

Brief communication: Wind inflow observation from load harmonics – wind tunnel validation of the rotationally symmetric formulation

Wind inflow observation from load harmonics

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