Presenting the award for the ISWTC at the conference gala dinner. Small presentation on the ISWTC

This research explored the use of deep learning to classify impact events on wind turbine blades using spectrogram images. Audio data were recorded through indoor and outdoor simulations using smartphones. The data preparation process involved converting stereo recordings to mono, applying downcasting …

This study evaluates the performance of a counter-rotating dual rotor wind turbine (CR-DRWT) with 2 m2 rotor radius equipped with a double rotational armature in an open jet wind tunnel. With only one similar-sized design previously assessed in a wind tunnel, this study offers valuable validation material …

3D lithography by two-photon photopolymerization enables the fabrication of complex microstructures that incorporate nanomaterials assembled in a controlled manner. This technology holds promise in various fields such as optics, photonics, biology, and nanomedicine. It is also being used in the renewable …

This report researches the important role of meticulous route and road planning in establishing the feasibility of new potential wind farms. By focusing on a wind farm project in the southwest of France near Bordeaux, this report highlights how effective route planning significantly reduces construction …

Presentatie PUMSWindT event

This article discusses results from an international contest, open for university student teams (bachelor and master), involving the design, construction, and testing of small wind turbines in a large wind tunnel. The wind tunnel has an outlet of 2.85 x 2.85 m allowing a maximum rotor swept area of 2 …

Dynamic inflow effects occur due to the rapid change of the rotor loading under conditions such as fast pitch steps. The paper presents a setup suitable for the investigation of those effects for non-axisymmetric rotor conditions, namely individual pitch steps. Furthermore, insights into the relevant …

AIRTuB Work Package 6 event at Entrance on modelling erosion.

Data-driven condition-based maintenance (CBM) and predictive maintenance (PdM) strategies have emerged over recent years and aim at minimizing the aviation maintenance costs and environmental impact by the diagnosis and prognosis of aircraft systems. As the use of data and relevant algorithms is essential …