Publikationen

2021

• Training Visuospatial And Visuomotor Skills For Ultrasound Imaging With A Game

  Teistler, M., Reinhold, S., Süncksen, M., & Mayer, L. (2021). Training Visuospatial And Visuomotor Skills For Ultrasound Imaging With A Game. In 107th Scientific Assembly and Annual Meeting (RSNA 2021). Chicago, IL, USA: Radiological Society of North America. (Original work published Dezember 2021)

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  • Personenseiten

    • Teistler, Michael

  • Forschungsprojekt

    • Entwicklung und praktischer Einsatz virtueller und spielbasierter Lernsysteme in der medizinischen Bildgebung

  • Abteilung/Einrichtung

    • CIVU – Center for Interaction, Visualization and Usability

  • Profilbereich

    • Informatik und Gestaltung

  • Forschungsfeld

    • Digitalisierung im Gesundheitswesen
    • Human-Computer-Interaction

  • Fachbereich

    • Fachbereich 3: Information und Kommunikation

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  • 2021
  • Conference Paper
  • • Michael Teistler
    • Sascha Reinhold
    • Matthias Süncksen
    • Lukas Mayer

• Digital Competences of Prospective Engineers and Science Teachers: A Latent Profile and Correspondence Analysis

  Schulze-Heuling, L., Wild, S., & Vest, A. (2021). Digital Competences of Prospective Engineers and Science Teachers: A Latent Profile and Correspondence Analysis. International Journal of Education in Mathematics, Science and Technology (IJEMST), 9(4), 760-782. http://doi.org/https://doi.org/10.46328/ijemst.1831 (Original work published Oktober 2021)

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    • Vest, Anja

  • Fachbereich

    • Fachbereich 2: Energy and Life Science

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  • 2021
  • Journal Article
  • • Lydia Schulze-Heuling
    • Steffen Wild
    • Anja Vest

• The Physical Optimum as an Ideal Reference Value for Balancing Thermodynamic Processes Integrating the Exergetic Evaluation by the Example of Heat Supply

  Volta, D., & Weber, S. (2021). The Physical Optimum as an Ideal Reference Value for Balancing Thermodynamic Processes Integrating the Exergetic Evaluation by the Example of Heat Supply. MDPI Energies, 14(15), 15. http://doi.org/https:// doi.org/10.3390/en14154426 (Original work published Juli 2021)

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  This paper contains the basic definition and application of the physical optimum as a method for process evaluation and optimization. By means of the exemplary balance of a wood pellet-fired boiler, the conventional efficiency is compared to the PhO. Furthermore, this study demonstrates the possibility of applying the thermodynamic state variable exergy as a physical reference property of a system within the PhO method. To explain the approach, the heat generation in the wood pellet-fired boiler is compared to the supply from a heat pump, which itself is connected to a power plant. Furthermore, the process-independent PhO is explained in order to illustrate the limitations of feasible optimization. Additionally, possible research topics such as the inte-gration of dynamic behavior in the method are approached. As a conclusion, the differences be-tween the methods outline the advantage of the PhO in the optimization process.

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    • Volta, Dirk
    • Rohm, Samanta Alena

  • Fachbereich

    • Fachbereich 2: Energy and Life Science

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  • 2021
  • Journal Article
  • • Dirk Volta
    • Samanta Weber
  • • physical optimum
    • PhO
    • reference process
    • energy efficiency
    • energy optimization
    • method comparison
    • energy

• SonoGame

  Gürgan, S., Mayer, L., Hahn, M., Seller, A., Bertel, S., Teistler, M., & Gall, C. (2021). SonoGame. In Senologie - Zeitschrift für Mammadiagnostik und -therapie (Bd. 18). Thieme. http://doi.org/10.1055/s-0041-1730164 (Original work published Juni 2021)

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    • Bertel, Sven
    • Teistler, Michael

  • Forschungsprojekt

    • Entwicklung und praktischer Einsatz virtueller und spielbasierter Lernsysteme in der medizinischen Bildgebung

  • Abteilung/Einrichtung

    • CIVU – Center for Interaction, Visualization and Usability

  • Profilbereich

    • Informatik und Gestaltung

  • Forschungsfeld

    • Digitalisierung im Gesundheitswesen
    • Human-Computer-Interaction

  • Fachbereich

    • Fachbereich 3: Information und Kommunikation

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  • 2021
  • Conference Paper
  • • Selin Gürgan
    • Lukas Mayer
    • Markus Hahn
    • Anna Seller
    • Sven Bertel
    • Michael Teistler
    • Christian Gall

• Symbolic Flexible Multibody Models for Wind Turbine Controller Design and Analysis

  Geisler, J., & Branlard, E. (2021). Symbolic Flexible Multibody Models for Wind Turbine Controller Design and Analysis. Hannover / Online: Wind Energy Science Conference. http://doi.org/10.5281/zenodo.5148447 (Original work published Mai 2021)

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    • Geisler, Jens

  • Fachbereich

    • Fachbereich 2: Energy and Life Science

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  • 2021
  • Presentation
  • • Jens Geisler
    • Emmanuel Branlard
  • • flexible multi-body
    • equations of motion
    • automatic code generation
    • framework
    • wind energy
    • controller design

• A Familie of Simplified Aerodynamic Models for Wind Turbine Controller Design and Analysis

  Geisler, J. (2021). A Familie of Simplified Aerodynamic Models for Wind Turbine Controller Design and Analysis. Hannover / Online: Wind Energy Science Conference. http://doi.org/10.5281/zenodo.5148441 (Original work published Mai 2021)

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    • Geisler, Jens

  • Fachbereich

    • Fachbereich 2: Energy and Life Science

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  • 2021
  • Presentation
  • • Jens Geisler
  • • controller design
    • simplified aerodynamics
    • aerodynamic damping
    • blade modes
    • kalman filter

• Application of a New Dispatch Methodology to Identify the Influence of Inertia Supplying Wind Turbines on Day-Ahead Market Sales Volumes

  Thiesen, H., & Jauch, C. (2021). Application of a New Dispatch Methodology to Identify the Influence of Inertia Supplying Wind Turbines on Day-Ahead Market Sales Volumes. Energies, 14(5). http://doi.org/10.3390/en14051255 (Original work published Februar 2021)

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  Power system inertia is an essential part of grid frequency control. The number of synchronously connected machines, which inherently provide inertia, is decreasing due to the transition to renewable energies. Conventional generation units are being replaced by renewable generation units which are connected to the grid via frequency converters. Some power systems already suffer from too little power system inertia. Hence, inertia is a valuable yet non-traded commodity. A day-ahead dispatch methodology to secure power system inertia was developed and is applied and assessed in this work. Day-ahead market data of the combined market of the Republic of Ireland and Northern Ireland is used. If the superimposition of sell and buy bids results in insufficient inertia, the dispatch algorithm is applied. In decreasing price order, non-inertia-providing sell bids get replaced by the following sell bids in the merit order. The iterative process is repeated until sufficient inertia is in the system. The provision of synthetic inertia by wind turbines is considered in the process. The costs for additional stored kinetic energy for the assessed time periods and scenarios result in costs ranging from 1.02 to 4.49 EUR/kgm2.

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    • Thiesen, Henning
    • Jauch, Clemens

  • Abteilung/Einrichtung

    • Wind Energy Technology Institute

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  • 2021
  • Journal Article
  • • Henning Thiesen
    • Prof. Dr. Clemens Jauch

• Adapting Behavior Driven Development (BDD) for large-scale software systems

  Irshad, M., Britto, R., & Petersen, K. (2021). Adapting Behavior Driven Development (BDD) for large-scale software systems. Journal of Systems and Software, 177, 110944.

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    • Petersen, Kai

  • Abteilung/Einrichtung

    • FLAIR - Flensburg Artificial Intelligence Research

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  • 2021
  • Journal Article
  • • Mohsin Irshad
    • Ricardo Britto
    • Kai Petersen

• Coupled power plant and geostorage simulations of porous media compressed air energy storage (PM-CAES)

  Pfeiffer, W. T., Witte, F., Tuschy, I., & Bauer, S. (2021). Coupled power plant and geostorage simulations of porous media compressed air energy storage (PM-CAES). Energy Conversion and Management, 249, 114849. http://doi.org/https://doi.org/10.1016/j.enconman.2021.114849

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  Porous media compressed air energy storage (PM-CAES) systems that use porous geological formations such as sandstone may provide large storage capacities in future energy systems based primarily on fluctuating renewable energy sources. In CAES systems, the instantaneous power and stored energy are closely linked to the storage pressure and the mass flow rate achievable in the geological reservoir. Therefore, a coupled simulator that accurately represents the power plant, the geostorage site, and their interactions during all potential PM-CAES system operation modes is presented in this paper. Using adiabatic and diabatic power plant topology test designs, strong feedback between the achievable storage rates and capacities of the chosen power plant design and geostorage site are found, thus confirming the benefit of this integrated modelling approach. Using a generic, highly cyclic load profile for daily peak shaving with charging and discharging rates of 100 MW and an adiabatic power plant topology, it is found that all discharging targets can be met but the achievable charging rates decrease to approximately 95 MW due to increased pressure in the geostorage after approximately 10 cycles. When a diabatic power plant design is considered, a long-term decrease in the geostorage pressure is found. Correspondingly, the charging power always meets the specifications, while the discharging power decreases slowly from the 20th storage cycle onwards to 79 MW in the 31st cycle. The newly developed simulation tool thus allows one to predict achievable power rates and geostorage pressures for PM-CAES systems, enabling the identification of efficient PM-CAES designs.

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  • Personenseiten

    • Witte, Francesco
    • Tuschy, Ilja

  • Profilbereich

    • Erneuerbare Energien und nachhaltige Entwicklung

  • Forschungsfeld

    • Wärme
    • Netzintegration

  • Fachbereich

    • Fachbereich 2: Energy and Life Science

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  • 2021
  • Journal Article
  • • Wolf Pfeiffer
    • Francesco Witte
    • Ilja Tuschy
    • Sebastian Bauer
  • • PM-CAES
    • Compressed air energy storage
    • Geological storage
    • Coupled simulations

• Financial performance and firm efficiency of automotive manufacturers and their suppliers A longitudinal data envelopment analysis

  Brandenburg, M., & Hahn, G. J. (2021). Financial performance and firm efficiency of automotive manufacturers and their suppliers A longitudinal data envelopment analysis. Logistics Research, 14(1), 26. http://doi.org/10.23773/2021_01

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  A data envelopment analysis (DEA) is presented to assess evolutions of firm efficiency and financial performance in automotive supply chains. A sample of 32 decision-making units (DMUs), 17 globally operating original equipment manufacturers (OEMs) and 15 key suppliers from the automotive industry, is in focus of this analysis in which cost levels and capital requirements are put into relation to sales growth and profit. Cost of goods sold, operating capital, and net fixed assets represent the financial input of a company while sales growth and earnings before interest and taxes (EBIT) reflect the financial output. The financial performance of a firm is indicated by its efficiency, calculated by an input-oriented variable returns to scale model. A multiple linear regression analysis reveals which operational performance factors are predictors of financial performance. A longitudinal DEA approach that covers the years from 2003 to 2017 is chosen to reveal performance evolutions over time. In order to analyze the stability of relationships between efficient firms (peers) and inefficient ones (followers) over time, changes in the performance relationship network are assessed in a graph-theoretic approach. In this study, geographical and structural specifics of DMU groups are taken into account. The study reveals similarities and differences between OEMs and their suppliers regarding the importance of value drivers and detects periods of performance losses and recovery from the global economic crisis.

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    • Brandenburg, Marcus

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  • 2021
  • Journal Article
  • • Marcus Brandenburg
    • Gerd Hahn
  • • Automotive industry
    • Data Envelopment Analysis
    • Financial performance
    • Supply networks