Publikationen

2018

• IEA wind task 32: wind lidar identifying and mitigating barriers to the adoption of wind lidar

  Clifton, A. ., Clive, P. ., Gottschall, J. ., Schlipf, D. ., Simley, E. ., Simmons, L. ., … Würth, I. . (2018). IEA wind task 32: wind lidar identifying and mitigating barriers to the adoption of wind lidar. Remote Sensing, 10, 406. http://doi.org/10.3390/rs10030406 (Original work published 2025)

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    • Schlipf, David

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  • 2018
  • Journal Article
  • • Andrew Clifton
    • Peter Clive
    • Julia Gottschall
    • David Schlipf
    • Eric Simley
    • Luke Simmons
    • Detlef Stein
    • Davide Trabucchi
    • Nikola Vasiljevic
    • Ines Würth

• Control design for disturbance rejection in wind turbines

  Khaniki, M. S., Schlipf, D. ., Pettas, V. ., & Cheng, P. W. (2018). Control design for disturbance rejection in wind turbines. In American Control Conference. Milwaukee, WI, USA. http://doi.org/10.23919/acc.2018.8431637 (Original work published 2025)

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    • Schlipf, David

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  • 2018
  • Conference Paper
  • • Mohammad Khaniki
    • David Schlipf
    • Vasilis Pettas
    • Po Cheng

• Optimizing lidars for wind turbine control applications results from the IEA wind task 32 workshop

  Simley, E. ., Fürst, H. ., Haizmann, F. ., & Schlipf, D. . (2018). Optimizing lidars for wind turbine control applications results from the IEA wind task 32 workshop. Remote Sensing, 10, 863. http://doi.org/10.3390/rs10060863 (Original work published 2025)

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    • Schlipf, David

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  • 2018
  • Journal Article
  • • Eric Simley
    • Holger Fürst
    • Florian Haizmann
    • David Schlipf

• Evaluation of control methods for floating offshore wind turbines

  Yu, W. ., Lemmer, F. ., Schlipf, D. ., Cheng, P. W., Visser, B. ., Links, H. ., … Serna, J. . (2018). Evaluation of control methods for floating offshore wind turbines. In Journal of Physics: Conference Series (Bd. 1104, S. 012033). Trondheim, Norway. http://doi.org/10.1088/1742-6596/1104/1/012033 (Original work published 2025)

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    • Schlipf, David

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  • 2018
  • Conference Paper
  • • Wei Yu
    • Frank Lemmer
    • David Schlipf
    • Po Cheng
    • Bart Visser
    • Harmen Links
    • Neelabh Gupta
    • Sabrina Dankemann
    • Bernardino Counago
    • Jose Serna

• Voice over IP (VoIP) Technology

  Uhl, T. . (2018). Voice over IP (VoIP) Technology (1th, S. 181). Aachen/Germany: Shaker Verlag GmbH. (Original work published 2018)

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    • Uhl, Tadeus

  • Fachbereich

    • Fachbereich 3: Information und Kommunikation

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  • 2018
  • Book
  • • Tadeus Uhl

• QoE and QoS by Triple Play Services: A Comparation Study

  Uhl, T. ., & Bardowski, P. . (2018). QoE and QoS by Triple Play Services: A Comparation Study. In 10th International Conference on Advanced Service Computin (S. 3). Barcelona/Spain. (Original work published 2018)

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    • Uhl, Tadeus

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    • Fachbereich 3: Information und Kommunikation

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  • 2018
  • Conference Paper
  • • Tadeus Uhl
    • Pawel Bardowski

• A comparison between LIDAR-based feedforward and DAC for control of wind turbines

  Khaniki, M. S., Schlipf, D. ., & Cheng, P. W. (2018). A comparison between LIDAR-based feedforward and DAC for control of wind turbines. In IEEE Conference on Control Technology and Applications. Copenhagen, Denmark. http://doi.org/10.1109/ccta.2018.8511422 (Original work published 2025)

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    • Schlipf, David

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  • 2018
  • Conference Paper
  • • Mohammad Khaniki
    • David Schlipf
    • Po Cheng

• A qualitative evaluation approach for energy system modelling frameworks

  Wiese, F. ., Hilpert, S. ., Kaldemeyer, C. ., & Pleßmann, G. . (2018). A qualitative evaluation approach for energy system modelling frameworks. Energy, Sustainability and Society, 8. http://doi.org/10.1186/s13705-018-0154-3 (Original work published 2025)

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  • Fachbereich

    • Fachbereich 2: Energy and Life Science

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  • 2018
  • Journal Article
  • • Frauke Wiese
    • Simon Hilpert
    • Cord Kaldemeyer
    • Guido Pleßmann

• Stakeholder influences and risks in sustainable supply chain management: a comparison of qualitative and quantitative studies

  Rebs, T. ., Brandenburg, M. ., Seuring, S. ., & Stohler, M. . (2018). Stakeholder influences and risks in sustainable supply chain management: a comparison of qualitative and quantitative studies, 11(2), 197–237. http://doi.org/10.1007/s40685-017-0056-9

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  Stakeholder influences on sustainable supply chain management (SSCM) are of increasing interest for researchers to take into account economic, environmental, and social risks. While extant literature on stakeholder influences or risks in SSCM concentrates on selected issues, a comprehensive review of both stakeholder and risk constructs is missing. Hence, this paper examines stakeholder influences and risks in SSCM, as addressed by conceptual frameworks, empirical studies, and formal models to shed light on the trends and gaps in qualitative and quantitative SSCM research. Based on a content analysis of systematically selected journal publications, the commonalities and differences between the research designs are identified. The findings suggest that the integration of economic risks prevails over the consideration of environmental and social risks. Qualitative studies frequently focus on customers or multiple stakeholders that trigger SSCM and relate to supply, demand, and particularly reputational risks. In contrast, quantitative models rather concentrate on formalizing governmental triggers and operational risks. Thus, mutual stimuli between conceptual, empirical, and model-based SSCM research and their implications for future research directions are derived.

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    • Brandenburg, Marcus

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  • 2018
  • Journal Article
  • • Tobias Rebs
    • Marcus Brandenburg
    • Stefan Seuring
    • Margarita Stohler

• Functional Requirements of Critical Care Information Systems (CCIS) from the Users’ Perspective

  von Dincklage, F. ., Suchodolski, K. ., Lichtner, G. ., Friesdorf, W. ., Podtschaske, B. ., & Ragaller, M. . (2018). Functional Requirements of Critical Care Information Systems (CCIS) from the Users’ Perspective. International Journal of Medical Informatics, 120, 8–13. http://doi.org/https://doi.org/10.1016/j.ijmedinf.2018.09.018 (Original work published Dezember 2018)

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  Introduction: Critical care information systems (CCIS) are computer software systems specialized for supporting the data processing tasks of clinical staff in intensive care units (ICUs). Reports on the impact of CCIS vary strongly from large benefits to harmful impact. One factor causing these inconsistent results is a large functional heterogeneity of the currently available systems, as no standards exist. Therefore, the aim of this study was to derive recommendations for a minimum range of functions that CCIS should incorporate from the perspective of clinical users.
  Materials and Methods: We performed a web-based survey targeting clinical ICU staff in Germany. Participants rated the usefulness of pre-defined CCIS functions (36 for physicians / 31 for nurses) between 0-5. To capture confounders that might influence the ratings, we recorded 18 individual and workplace characteristics.
  Results: The 912 participants rated all but three of the investigated functions as useful with median scores of 4-5. A multivariable analysis showed that the ratings were influenced by whether CCIS were used on the participants’ wards, by the rating of the function quality of the used CCIS, the years of work experience and whether the participant was a physician or a nurse.
  Conclusions: Clinical ICU staff considers all but three of the here investigated CCIS functions as useful. Even though we identified a variety of factors influencing the usefulness ratings, their influence is rather small and thus does not limit the validity of our findings. Accordingly, we commend the functions identified as useful to be incorporated in CCIS.

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    • Podtschaske, Beatrice

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    • Gesundheit und Life Sciences

  • Fachbereich

    • Fachbereich 4: Wirtschaft

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  • 2018
  • Journal Article
  • • Falk von Dincklage
    • Klaudiusz Suchodolski
    • Gregor Lichtner
    • Wolfgang Friesdorf
    • Beatrice Podtschaske
    • Maximilian Ragaller
  • • Critical care
    • Information system
    • Functional requirements