Optical measurements of multi-megawatt wind turbine dynamic response

Hoghooghi, Hadi; Chokani, Ndaona; Abhari, Reza S.

doi:10.1016/j.jweia.2020.104214

Cited by 6 publications

(2 citation statements)

References 45 publications

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“…As a consequence, fatigue reduction and lifetime estimation are of primary significance [4,5,6]. Thus, accurate fatigue estimation has become crucial in improving performance and reducing costs [7,8,9].…”

Section: Introductionmentioning

confidence: 99%

A wind turbine digital shadow with tower and blade degrees of freedom - Preliminary results and comparison with a simple tower fore-aft model

Hoghooghi,

Bertelè,

Anand

et al. 2024

J. Phys.: Conf. Ser.

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This paper analyzes the formulation of a wind turbine digital shadow using a Kalman filter to estimate tower loads. At first, a simple model is considered, which is limited to the sole fore-aft dynamics of the tower. Next, to quantify the potential benefits of a more refined approach, the tower side-side motion and the blade flapwise and edgewise degrees of freedom are added to the filter-internal model. For both the simple and refined formulations, the model coefficients are optionally scheduled as functions of the inflow conditions. Preliminary results, limited to non-waked and non-misaligned conditions, indicate that the refined formulation has some positive – but limited – effects on the quality of the tower fore-aft loading. Additionally, it is found that the scheduling of the coefficients does not further improve the results.

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Section: Introductionmentioning

confidence: 99%

A wind turbine digital shadow with tower and blade degrees of freedom - Preliminary results and comparison with a simple tower fore-aft model

Hoghooghi,

Bertelè,

Anand

et al. 2024

J. Phys.: Conf. Ser.

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“…Goering et al (Grosse-Schwiep et al, 2014; M. Goering and T. Luhmann, 2020) used point-based TLS combined with an optical camera placed on the nacelle to measure the rotor blade torsion and deflection during a rotation by comparing it to a geometric model of the blade. Hoghooghi et al 2020 used a rotational platform to follow the blade and measure the displacement of one point on the rotor blade at a time during the rotation by using the information gained from the Supervisory Control and Data Acquisition (SCADA) system. However, both Goering et al and Hoghooghi et al methods, require prior knowledge of wind turbine geometry or SCADA-data as well as additional equipment such as a camera or rotational platform besides the laser scanner.…”

mentioning

confidence: 99%

Assessing the rotor blade deformation and tower-blade tip clearance of a 3.4 MW wind turbine with terrestrial laser scanning

Helming

Intemann²,

Webersinke³

et al. 2022

Preprint

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Abstract. Wind turbines have grown in size in recent years, making an efficient structural health monitoring of all of their structures ever more important. Wind turbine blades deform elastically under the loads applied to them by wind and inertial forces acting on the rotating rotor blades. In order to properly analyze these deformations, an earthbound system is desirable that can measure the blade deformation, as well as the tower-blade tip clearance from a large measurement working distance of over 150 m and a single location. To achieve this, a terrestrial laser scanner (TLS) in line-scanning mode with vertical alignment is used to measure the distance to passing blades and the tower for different wind loads over time. In detail, the blade deformations for two different wind load categories are evaluated and compared. Additionally, the tower-blade tip clearance is calculated and analyzed with regard to the rotor speed. Using a Monte-Carlo simulation, the measurement uncertainty is determined to be in the mm-range for both the blade deformation analysis and the tower-blade tip clearance. The in-process applicable measurement methods are applied and validated on a 3.4 MW wind turbine with a hub height of 128 m. As a result, the deformation of the blade increases with higher wind speed in wind direction, while the tower-blade tip clearance decreases with higher wind speed. Both relations are measured not only qualitatively but also quantitatively. Furthermore, no difference between the three rotor blades is observed, i.e. each of the three blades is shown to be separately measurable. The tower-blade tip clearance is compared to a reference video measurement, which recorded the tower-blade tip clearance from the side, with validated the novel measurement approach. Therefore, the proposed setup and methods are proven to be effective tools for the in-process structural health monitoring of wind turbine blades.

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