Publikationen

2015

• Nonlinear model predictive controller design for extreme load mitigation in transition operation region in wind turbines

  Tofighi, E., Schlipf, D., & Kellett, C. M. (2015). Nonlinear model predictive controller design for extreme load mitigation in transition operation region in wind turbines. In IEEE Conference on Control Applications. Sydney, Australia. http://doi.org/10.1109/cca.2015.7320770 (Original work published sep)

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    • Schlipf, David

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  • 2015
  • Conference Paper
  • • Elham Tofighi
    • David Schlipf
    • Christopher Kellett

• Proteomic Analysis of Anti-Cancerous Scopularide Production by a Marine Microascus brevicaulis Strain and Its UV Mutant

  Kramer, A., Beck, H. C., Kumar, A., Kristensen, L. P., Imhoff, J. F., & Labes, A. (2015). Proteomic Analysis of Anti-Cancerous Scopularide Production by a Marine Microascus brevicaulis Strain and Its UV Mutant. Plos One, 10, e0140047. Abgerufen von http://oceanrep.geomar.de/30275/ (Original work published Oktober)

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  The marine fungus Microascus brevicaulis strain LF580 is a non-model secondary metabolite producer with high yields of the two secondary metabolites scopularides A and B, which exhibit distinct activities against tumour cell lines. A mutant strain was obtained using UV mutagenesis, showing faster growth and differences in pellet formation besides higher production levels. Here, we show the first proteome study of a marine fungus. Comparative proteomics were applied to gain deeper understanding of the regulation of production and of the physiology of the wild type strain and its mutant. For this purpose, an optimised protein extraction protocol was established. In total, 4759 proteins were identified. The central metabolic pathway of strain LF580 was mapped using the KEGG pathway analysis and GO annotation. Employing iTRAQ labelling, 318 proteins were shown to be significantly regulated in the mutant strain: 189 were down- and 129 upregulated. Proteomics are a powerful tool for the understanding of regulatory aspects: The differences on proteome level could be attributed to limited nutrient availability in the wild type strain due to a strong pellet formation. This information can be applied for optimisation on strain and process level. The linkage between nutrient limitation and pellet formation in the non-model fungus M. brevicaulis is in consensus with the knowledge on model organisms like Aspergillus niger and Penicillium chrysogenum

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  • 2015
  • Journal Article
  • • Annemarie Kramer
    • Hans Beck
    • Abhishek Kumar
    • Lars Kristensen
    • Johannes Imhoff
    • Antje Labes
  • • Mutant strains
    • Proteomes
    • Protein extraction
    • Enzyme regulation
    • Fungi
    • Cell disruption
    • Protein metabolism
    • Biosynthesis

• An adaptive data processing technique for LIDAR-assisted control to bridge the gap between LIDAR systems and wind turbines

  Schlipf, D., Fleming, P., Raach, S., Scholbrock, A. K., Haizmann, F., Krishnamurthy, R., u. a. (2015). An adaptive data processing technique for LIDAR-assisted control to bridge the gap between LIDAR systems and wind turbines. In European Wind Energy Association Annual Event. Paris, France. http://doi.org/10.18419/opus-8419 (Original work published nov)

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    • Schlipf, David

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  • 2015
  • Conference Paper
  • • David Schlipf
    • Paul Fleming
    • Steffen Raach
    • Andrew Scholbrock
    • Florian Haizmann
    • Raghu Krishnamurthy
    • Matthieu Boquet
    • Po Cheng

• Detection of wind evolution and lidar trajectory optimization for lidar-assisted wind turbine control

  Schlipf, D., Haizmann, F., Cosack, N., Siebers, T., & Cheng, P. W. (2015). Detection of wind evolution and lidar trajectory optimization for lidar-assisted wind turbine control. Meteorologische Zeitschrift, 24, 565-579. http://doi.org/10.1127/metz/2015/0634 (Original work published nov)

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    • Schlipf, David

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  • 2015
  • Journal Article
  • • David Schlipf
    • Florian Haizmann
    • Nicolai Cosack
    • Tom Siebers
    • Po Cheng

• Design and evaluation of a lidar-based feedforward controller for the INNWIND.EU 10 MW wind turbine

  Fürst, H., Schlipf, D., Latour, M. I., & Cheng, P. W. (2015). Design and evaluation of a lidar-based feedforward controller for the INNWIND.EU 10 MW wind turbine. In European Wind Energy Assosiation Annual Event. Paris, France. http://doi.org/10.18419/opus-8418 (Original work published nov)

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  • 2015
  • Conference Paper
  • • Holger Fürst
    • David Schlipf
    • Mikel Latour
    • Po Cheng

• Collective pitch feedforward control of floating wind turbines using Lidar

  Schlipf, D., Simley, E., Lemmer, F., Pao, L., & Cheng, P. W. (2015). Collective pitch feedforward control of floating wind turbines using Lidar. Journal Of Ocean And Wind Energy, 2, 223-230. http://doi.org/10.17736/jowe.2015.arr04 (Original work published nov)

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    • Schlipf, David

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  • 2015
  • Journal Article
  • • David Schlipf
    • Eric Simley
    • Frank Lemmer
    • Lucy Pao
    • Po Cheng

• Correlation-model of rotor-effective wind shears and wind speed for lidar-based individual pitch control

  Haizmann, F., Schlipf, D., & Cheng, P. W. (2015). Correlation-model of rotor-effective wind shears and wind speed for lidar-based individual pitch control. In German Wind Energy Conference (DEWEK). Bremen, Germany. http://doi.org/10.18419/opus-3976 (Original work published may)

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    • Schlipf, David

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  • 2015
  • Conference Paper
  • • Florian Haizmann
    • David Schlipf
    • Po Cheng

• Capacity-Delay-Error Boundaries: A Composable Model of Sources and Systems

  Fidler, M., Lübben, R., & Becker, N. (2015). Capacity-Delay-Error Boundaries: A Composable Model of Sources and Systems. Ieee Trans. Wireless Commun., 14, 1280-1294. http://doi.org/10.1109/TWC.2014.2365782 (Original work published mar)

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    • Lübben, Ralf

  • Fachbereich

    • Fachbereich 4: Wirtschaft

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  • 2015
  • Journal Article
  • • Markus Fidler
    • Ralf Lübben
    • Nico Becker

• Prospects of linear model predictive controlon a 10 MW floating wind turbine

  Lemmer, F., Raach, S., Schlipf, D., & Cheng, P. W. (2015). Prospects of linear model predictive controlon a 10 MW floating wind turbine. In International Conference on Ocean, Offshore and Arctic Engineering. St. John s, Canada. http://doi.org/10.1115/OMAE2015-42267 (Original work published jun)

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    • Schlipf, David

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  • 2015
  • Conference Paper
  • • Frank Lemmer
    • Steffen Raach
    • David Schlipf
    • Po Cheng

• Optimization of a feed-forward controller using a CW-lidar system on the CART3

  Haizmann, F., Schlipf, D., Raach, S., Scholbrock, A., Wright, A., Slinger, C., u. a. (2015). Optimization of a feed-forward controller using a CW-lidar system on the CART3. In American Control Conference. Chicago, IL, USA. http://doi.org/10.1109/acc.2015.7171907 (Original work published jun)

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  • 2015
  • Conference Paper
  • • Florian Haizmann
    • David Schlipf
    • Steffen Raach
    • Andrew Scholbrock
    • Alan Wright
    • Chris Slinger
    • John Medley
    • Michael Harris
    • Ervin Bossanyi
    • Po Cheng