Data-driven techniques can enable enhanced insights into wind turbine operations by efficiently extracting information from turbine data. This work outlines a data-driven strategy …
The American WAKE ExperimeNt (AWAKEN) is a multi-institutional field campaign focused on gathering critical observations of wind farm–atmosphere interactions. These interactions …
Flow modifications induced by wind turbine rotors on the incoming atmospheric boundary layer (ABL), such as blockage and speedups, can be important factors affecting the power …
M Puccioni, CF Moss, C Jacquet… - Journal of Renewable and …, 2023 - pubs.aip.org
To maximize the profitability of wind power plants, wind farms are often characterized by high wind turbine density leading to operations with reduced turbine spacing. As a …
Neglecting the velocity reduction in the induction zone of wind turbines can lead to overestimates of power production predictions, and, thus, of the annual energy production …
Different machine learning (ML) models are trained on SCADA and meteorological data collected at an onshore wind farm and then assessed in terms of fidelity and accuracy for …
With 13.4 GW of new capacity installed in 2021 in the US 1, wind energy is playing a major 31 role in the transition towards the net-zero emission goal by 20502. However, the …
L Alhrshy, A Gagel, A Lippke, L Vogt, C Jauch, P Kloft - opac.dbu.de
Kurzfassung Im Rahmen des Forschungsprojekts „Ressourceneffizienz in der Windenergie “verfolgt das Institut für Windenergietechnik (WETI) an der Hochschule Flensburg in …