RAVE Workshop 2021
Der RAVE Workshop 2021 fand am 28. Januar 2021 als Online-Veranstaltung statt. Es wurden aktuelle Erkenntnisse aus der Forschung am Windpark alpha ventus präsentiert.
Hier sehen Sie das Programm des Workshops mit den für 2021 wichtigen Themen. Die Vorträge finden Sie weiter unten.
Bei Interesse am nächsten Workshop 2022 und für den Erhalt der Newsletter würden wir uns über Ihre kurze Rückmeldung freuen!
raveworkshop@iwes.fraunhofer.de
RAVE Workshop 2021 - Vorträge
09:00
Opening remarks
Bernhard Lange
Fraunhofer-Institut für Windenergiesysteme
09:10
Presentation 2: "A view back on 10 years of research at alpha ventus from the perspective of the funding agency"
Daniela Bizjak
Project Management Jülich
09:20
Presentation 3: "The FINO1 Platform - Offshore Research Laboratory in the North Sea"
Lisa Schulz, Björn Lehmann-Matthaei
FuE-Zentrum FH Kiel GmbH
09:40
Presentation 4: "Data Quality Management in the RAVE project, introducing machine learning to the process"
BSH (with DNV GL and UL international)
10:30
Presentation 5: "Wind-Wave correlation in the German Bight as a logistical planning tool for offshore activities"
Lukas Fröhling
Leibniz University Hannover
10:50
Presentation 6: "Wind farm wake effects on the wind conditions and the fatigue loads of the offshore wind farm alpha ventus"
Marcos Ortensi
UL international
11:10
Presentation 7: "Minute-scale forecasting of wind power using a long-range LiDAR in alpha ventus“"
Ines Würth
University of Stuttgart
11:30
Presentation 8: "Measuring large scale offshore wind farm effects with scanning LiDAR"
Jörge Schneemann
University of Oldenburg
13:00
Presentation 9: "Structural load validation for wake situations using alpha ventus measurement data"
Matthias Kretschmer
University of Stuttgart
13:20
Presentation 10: "Influence of the environmental conditions on the acceleration response of the tower/hub structure of the AV07 wind turbine"
Etienne Cheynet
University of Bergen
13:40
Presentation 11: "Wind turbine monitoring & lifetime extension (IEA Wind Task 42)"
Tanja Grießmann
Leibniz University Hannover
14:00
Presentation 12: "Interpretable Machine Learning for load prediction“"
Artur Movsessian
University of Edinburgh