Prof. Dr.-Ing. David Schlipf
Professor am Fachbereich Energy and Life Science
Wind Energy Technology Institute Professor
Telefon 0461 48161 443
Raum D347/V 1.07
Professor für
Windenergietechnik
Lehre
Lehrt im Studiengang
Lehrgebiet
- Advanced engineering mathematics
- Controller design of wind turbines and wind farms
Organisation
Zuständigkeiten
- Wind Energy Technology Institute Professor
- Adaptive Betriebsstrategien für bestehende Windenergieanlagen Ansprechpartner
- Lidar Knowledge Europe (LIKE) Ansprechpartner
- Ausschuss für Forschungs- und Wissenstransfer Professor
- Data Science und Künstliche Intelligenz KI und Windenergie
Neuste Publikationen
2022
- Chen, Y. ., Guo, F. ., Schlipf, D. ., & Cheng, P. W. (2022). Four-dimensional wind field generation for the aeroelastic simulation of wind turbines with lidars. Wind Energy Science, 7, 539–558. http://doi.org/10.5194/wes-7-539-2022 (Original work published 2024)
2021
- Lemmer, F. ., Lehmann, K. ., Raach, S. ., Al, M. ., Skandali, D. ., Schlipf, D. ., … Cheng, P. W. (2021). Assessment of a State-Feedback Controller and Observer in a Floating Wind Turbine Scaled Experiment. http://doi.org/10.5281/zenodo.5004916 (Original work published 2024)
- Schlipf, D. ., Guo, F. ., & Chen, Y. . (2021). Comparison of uncertainties in measurements from cup anemometers and lidar systems. http://doi.org/10.5281/zenodo.4890902 (Original work published 2024)