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2015

Additional Design Criteria for Wind Turbines: Excitation to Mechanical Vibrations from the Power System

Jauch, C., Huhn, M., & Hopp, M. (2015). Additional Design Criteria for Wind Turbines: Excitation to Mechanical Vibrations from the Power System. 6. VDI-Fachtagung Schwingungen von Windenergieanlagen 2015. http://doi.org/10.13140/RG.2.1.3870.6409
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Jauch, Clemens
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2015

Conference Proceedings

Prof. Dr. Clemens Jauch

M. Huhn

M. Hopp

WETI
Metrics for the evaluation of feature models in an industrial context: A case study at opel

Oliinyk, O., Petersen, K., Schoelzke, M., Becker, M., & Schneickert, S. (2015). Metrics for the evaluation of feature models in an industrial context: A case study at opel. In International Working Conference on Requirements Engineering: Foundation for Software Quality (S. 33–48).
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Petersen, Kai

Abteilung/Einrichtung

FLAIR - Flensburg Artificial Intelligence Research
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2015

Conference Paper

Olesia Oliinyk

Kai Petersen

Manfred Schoelzke

Martin Becker

Soeren Schneickert
Identification of Habitat-Specific Biomes of Aquatic Fungal Communities Using a Comprehensive Nearly Full-Length 18S rRNA Dataset Enriched with Contextual Data

Panzer, K., Yilmaz, P., Weiß, M., Reich, L., Richter, M., Wiese, J., … Reich, M. (2015). Identification of Habitat-Specific Biomes of Aquatic Fungal Communities Using a Comprehensive Nearly Full-Length 18S rRNA Dataset Enriched with Contextual Data. PLoS ONE, 10, e0134377. Abgerufen von http://oceanrep.geomar.de/29516/

Abstract

Molecular diversity surveys have demonstrated that aquatic fungi are highly diverse, and that they play fundamental ecological roles in aquatic systems. Unfortunately, comparative studies of aquatic fungal communities are few and far between, due to the scarcity of adequate datasets. We combined all publicly available fungal 18S ribosomal RNA (rRNA) gene sequences with new sequence data from a marine fungi culture collection. We further enriched this dataset by adding validated contextual data. Specifically, we included data on the habitat type of the samples assigning fungal taxa to ten different habitat categories. This dataset has been created with the intention to serve as a valuable reference dataset for aquatic fungi including a phylogenetic reference tree. The combined data enabled us to infer fungal community patterns in aquatic systems. Pairwise habitat comparisons showed significant phylogenetic differences, indicating that habitat strongly affects fungal community structure. Fungal taxonomic composition differed considerably even on phylum and class level. Freshwater fungal assemblage was most different from all other habitat types and was dominated by basal fungal lineages. For most communities, phylogenetic signals indicated clustering of sequences suggesting that environmental factors were the main drivers of fungal community structure, rather than species competition. Thus, the diversification process of aquatic fungi must be highly clade specific in some cases.The combined data enabled us to infer fungal community patterns in aquatic systems. Pairwise habitat comparisons showed significant phylogenetic differences, indicating that habitat strongly affects fungal community structure. Fungal taxonomic composition differed considerably even on phylum and class level. Freshwater fungal assemblage was most different from all other habitat types and was dominated by basal fungal lineages. For most communities, phylogenetic signals indicated clustering of sequences suggesting that environmental factors were the main drivers of fungal community structure, rather than species competition. Thus, the diversification process of aquatic fungi must be highly clade specific in some cases.
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2015

Journal Article

Katrin Panzer

Pelin Yilmaz

Michael Weiß

Lothar Reich

Michael Richter

Jutta Wiese

Rolf Schmaljohann

Antje Labes

Johannes Imhoff

Frank Glöckner

Marlis Reich

Habitats

Fungal genetics

Phylogenetics

Fungi

Fungal structure

Fresh water

Phylogenetic analysis

Ribosomal RNA

2014

Power performance measurements of the NREL CART-2 wind turbine using a nacelle-based lidar scanner

Rettenmeier, A., Schlipf, D., Würth, I., & Cheng, P. W. (2014). Power performance measurements of the NREL CART-2 wind turbine using a nacelle-based lidar scanner. Journal of Atmospheric and Oceanic Technology, 31, 2029–2034. http://doi.org/10.1175/jtech-d-13-00154.1 (Original work published 2026)
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Schlipf, David
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2014

Journal Article

Andreas Rettenmeier

David Schlipf

Ines Würth

Po Cheng
Efficient critical design load case identification for floating offshore wind turbines with a reduced nonlinear model

Matha, D., Sandner, F., & Schlipf, D. (2014). Efficient critical design load case identification for floating offshore wind turbines with a reduced nonlinear model. In Journal of Physics: Conference Series (Bd. 555). Oldenburg, Germany. http://doi.org/10.1088/1742-6596/555/1/012069 (Original work published 2026)
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Schlipf, David
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2014

Conference Paper

Denis Matha

Frank Sandner

David Schlipf
Field testing of feedforward collective pitch control on the CART2 using a nacelle-based LIDAR scanner

Schlipf, D., Fleming, P., Haizmann, F., Scholbrock, A., Hofsäß, M., Wright, A., & Cheng, P. W. (2014). Field testing of feedforward collective pitch control on the CART2 using a nacelle-based LIDAR scanner. In Journal of Physics: Conference Series (Bd. 555). Oldenburg, Germany. http://doi.org/10.1088/1742-6596/555/1/012090 (Original work published 2026)
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Schlipf, David
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2014

Conference Paper

David Schlipf

Paul Fleming

Florian Haizmann

Andrew Scholbrock

Martin Hofsäß

Alan Wright

Po Cheng
Three dimensional dynamic model based wind field reconstruction from LIDAR data

Raach, S., Schlipf, D., Haizmann, F., & Cheng, P. W. (2014). Three dimensional dynamic model based wind field reconstruction from LIDAR data. In Journal of Physics: Conference Series (Bd. 524). Copenhagen, Denmark. http://doi.org/10.1088/1742-6596/524/1/012005 (Original work published 2026)
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Schlipf, David
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2014

Conference Paper

Steffen Raach

David Schlipf

Florian Haizmann

Po Cheng
Comparison of linear and nonlinear model predictive control of wind turbines using LIDAR

Schlipf, D., Grau, P., Raach, S., Duraiski, R., Trierweiler, J., & Cheng, P. W. (2014). Comparison of linear and nonlinear model predictive control of wind turbines using LIDAR. In American Control Conference. Portland, OR, USA. http://doi.org/10.1109/acc.2014.6859205 (Original work published 2026)
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Schlipf, David
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2014

Conference Paper

David Schlipf

Patrick Grau

Steffen Raach

Ricardo Duraiski

Jorge Trierweiler

Po Cheng
Nonlinear model predictive control of floating wind turbines with individual pitch control

Raach, S., Schlipf, D., Sandner, F., Matha, D., & Cheng, P. W. (2014). Nonlinear model predictive control of floating wind turbines with individual pitch control. In American Control Conference. Portland, OR, USA. http://doi.org/10.1109/acc.2014.6858718 (Original work published 2026)
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Schlipf, David
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2014

Conference Paper

Steffen Raach

David Schlipf

Frank Sandner

Denis Matha

Po Cheng
Importance of LIDAR measurement timing accuracy for wind turbine control

Dunne, F., Pao, L. Y., Schlipf, D., & Scholbrock, A. K. (2014). Importance of LIDAR measurement timing accuracy for wind turbine control. In American Control Conference. Portland, OR, USA. http://doi.org/10.1109/acc.2014.6859337 (Original work published 2026)
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Schlipf, David
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2014

Conference Paper

Fiona Dunne

Lucy Pao

David Schlipf

Andrew Scholbrock

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2015

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