Publikationen

2026

• Impact of Wind Turbulences on the Energy Yield of a Wind Turbine with a Hydraulic-Pneumatic Flywheel System in its Rotor

  Goga, A., Jauch, C., & Alhrshy, L. (2026). Impact of Wind Turbulences on the Energy Yield of a Wind Turbine with a Hydraulic-Pneumatic Flywheel System in its Rotor. In NEIS Conference 2025 (S. 170–177). Hamburg: VDE Verlag GmbH. http://doi.org/10.30420/566633024 (Original work published März 2026)

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  Wind turbulence introduces variations and oscillations in the power output of wind turbines and vibrations of wind turbine components. Higher turbulence intensities lead to significant wind speed fluctuations, necessitating frequent aerodynamic regulation of the rotor in near-rated operating points. Reducing these fluctuations stabilizes the operation of the wind turbine, which reduces power fluctuations in the grid, and which reduces wear and tear in the wind turbine. This study investigates a hydraulic-pneumatic flywheel system designed to leverage these fluctuations by absorbing excess energy during gusts (charging) and releasing it during lulls (discharging), effectively smoothing the power output. The charging phase of this system introduces an additional electrical load by driving hydraulic pumps with electric motors, thereby increasing the generator torque. Simultaneously, fluid movement along the rotor blades induces Coriolis forces, generating a negative torque that slows down the rotor. This flywheel system application reduces rotor speed and pitch angle excursions during peak wind events by storing surplus energy. When the wind speeds drop below rated wind speed due to turbulence, the stored energy is released by transferring the fluid from the tip accumulators to storage tanks in the blade roots, reducing the flywheel inertia, and hence, releasing energy. This bidirectional functionality allows mitigating the downsides of turbulence. The objective of this study is to assess the performance of the flywheel system in stabilizing power output and to quantify the energy yield improvement, with a particular focus on the influence of turbulence intensity.

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    • Goga, Abhinay
    • Jauch, Clemens
    • Alhrshy, Laurence

  • Forschungsprojekt

    • Ressourceneffizienz in der Windenergie

  • Abteilung/Einrichtung

    • Wind Energy Technology Institute

  • Profilbereich

    • Erneuerbare Energien und nachhaltige Entwicklung

  • Forschungsfeld

    • Wind

  • Fachbereich

    • Fachbereich 2: Energy and Life Science

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  • 2026
  • Conference Paper
  • • Abhinay Goga
    • Prof. Dr. Clemens Jauch
    • Laurence Alhrshy
  • • Wind Turbine
    • Variable inertia flywheel
    • Energy yield
    • Turbulence intensity

• Physik - Ausgewählte Grundkonzepte für Natur- und Ingenieurwissenschaften

  Vest, A., & Voigt, A. (2026). Physik - Ausgewählte Grundkonzepte für Natur- und Ingenieurwissenschaften (S. 436). Hamburg: Books on Demand GmbH. Abgerufen von https://buchshop.bod.de/physik-alexander-voigt-9783819275401

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    • Vest, Anja

  • Fachbereich

    • Fachbereich 2: Energy and Life Science

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  • 2026
  • Book
  • • Anja Vest
    • Alexander Voigt
  • • Physik

• Optimisation of the Hydraulic Variable Inertia Flywheel for Specific Energy

  Rettig, A., Reese, L., & Jauch, C. (2026). Optimisation of the Hydraulic Variable Inertia Flywheel for Specific Energy. In 19. Symposium Energieinnovation 2026. Östereich, Graz. http://doi.org/https://doi.org/10.13140/RG.2.2.10150.59203

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  The ongoing transition towards inverter-based generation is significantly reducing conventional rotational inertia in power systems, leading to increased rates of change of frequency. To address this challenge, the Hydraulic Variable Inertia Flywheel (HVI-FW) represents a novel alternative for distributed and inherent inertia provision. This paper presents a design tool developed to optimize the geometric parameters of the novel flywheel, with respect to specific energy. A parameter study is conducted by varying key geometric dimensions, such as radius and height. The results demonstrate that the HVI-FW can achieve significantly higher specific energy than conventional flywheels, particularly for small radii, making it well suited for coupling with small, synchronously rotating electrical machines. The findings highlight the potential of the HVI-FW as an effective solution for providing distributed inertia in future low-inertia power systems.

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  • Personenseiten

    • Jauch, Clemens

  • Forschungsprojekt

    • Inno!Nord-HYDRAD - Hydraulischer Schwungradspeicher

  • Abteilung/Einrichtung

    • Wind Energy Technology Institute

  • Profilbereich

    • Erneuerbare Energien und nachhaltige Entwicklung

  • Forschungsfeld

    • Netzintegration

  • Fachbereich

    • Fachbereich 2: Energy and Life Science

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  • 2026
  • Conference Paper
  • • Arne Rettig
    • Lisanne Reese
    • Prof. Dr. Clemens Jauch
  • • Flywheel, Inertia, Power System Inertia, Energy Storage, Electrical Machines

• Open Source Web Dashboard zur Unterstützung der Konzeption von Wärmeversorgungssystemen

  Fritz, M., Freißmann, J., & Tuschy, I. (2026). Open Source Web Dashboard zur Unterstützung der Konzeption von Wärmeversorgungssystemen. In J. Knies, T. Schwarz, & Y. E. Gerling (Hrsg.), Tagungsband zur 3. Konferenz der Norddeutschen Wärmeforschung (S. 33–38). Hochschule Bremen. http://doi.org/10.26092/elib/5016

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    • Fritz, Malte
    • Freißmann, Jonas
    • Tuschy, Ilja

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  • 2026
  • Conference Paper
  • • Malte Fritz
    • Jonas Freißmann
    • Ilja Tuschy
    • Jürgen Knies
    • Timmy Schwarz
    • Yannik Gerling
  • • Wärmewende
    • Wärmeforschung
    • Energiewende
    • Fernwärme
    • Nahwärme
    • Transformation
    • Wärmeversorgung
    • Energieversorgung
    • Wärmepumpe
    • Wohngebäude
    • Wärmeplanung
    • Wärmespeicher
    • Wasserstoff
    • Energiespeicher

• Reporting Transparency in Veterinary Pathology Deep Learning: A Systematic Review of Reproducibility-Critical Details

  Banerjee, S., Bertram, C. A., Weiss, V., Ammeling, J., Conrad, T., Porsche, N., … Aubreville, M. (2026). Reporting Transparency in Veterinary Pathology Deep Learning: A Systematic Review of Reproducibility-Critical Details. Veterinary Pathology. http://doi.org/10.1177/03009858261459452

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  • Personenseiten

    • Banerjee, Sweta
    • Porsche, Nils
    • Aubreville, Marc

  • Forschungsprojekt

    • (mu)ROMI: Robust and Accurate Multi-Tumor, Multi-Species, Multi-Laboratory and Multi-Scanner Mitosis Detection with Large-Scale Datasets and Artificial Intelligence

  • Abteilung/Einrichtung

    • FLAIR - Flensburg Artificial Intelligence Research

  • Profilbereich

    • Informatik und Gestaltung

  • Forschungsfeld

    • Data Science und Künstliche Intelligenz

  • Fachbereich

    • Fachbereich 3: Information und Kommunikation

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  • 2026
  • Journal Article
  • • Sweta Banerjee
    • Christof Bertram
    • Viktoria Weiss
    • Jonas Ammeling
    • Thomas Conrad
    • Nils Porsche
    • Robert Klopfleisch
    • Christoph Stoblberger
    • Christopher Kaltenecker
    • Katharina Breininger
    • Marc Aubreville

• A Subphase-Labeled Mitotic Dataset for AI-powered Cell Division Analysis

  Ivan, Z., Hirling, D., Grexa, I., Ammeling, J., Molnar, C., Micsik, T., … Horvath, P. (2026). A Subphase-Labeled Mitotic Dataset for AI-powered Cell Division Analysis. Scientific Data. http://doi.org/10.1038/s41597-026-07007-7

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  Abstract Mitosis detection represents a critical task in digital pathology, as it plays an important role in the tumor grading and prognosis of patients. Manual determination is a labor-intensive task for practitioners with high interobserver variability, thus, automation is a priority. There has been substantial progress towards creating robust mitosis detection algorithms, primarily driven by the Mitosis Domain Generalization (MIDOG) challenges. Also, there has been growing interest in the molecular characterization of mitosis to achieve a more comprehensive understanding of its underlying mechanisms in a subphase-specific manner. We introduce a new mitotic figure dataset annotated with subphase information based on the MIDOG++ dataset as well as a previously unrepresented tumor domain to enhance the diversity and applicability. We envision a new perspective for domain generalization by improving model performance with subtyping mitosis, complemented with an atypical mitotic class. Our work has implications in two main areas: subtyping information can provide helpful information in mitosis detection, while also providing promising new directions in answering biological questions, such as molecular analysis of subphases.

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  • Personenseiten

    • Aubreville, Marc

  • Abteilung/Einrichtung

    • FLAIR - Flensburg Artificial Intelligence Research

  • Profilbereich

    • Gesundheit und Life Sciences

  • Forschungsfeld

    • Data Science und Künstliche Intelligenz

  • Fachbereich

    • Fachbereich 3: Information und Kommunikation

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  • 2026
  • Journal Article
  • • Zsanett Ivan
    • Dominik Hirling
    • Istvan Grexa
    • Jonas Ammeling
    • Csaba Molnar
    • Tamas Micsik
    • Katalin Dobra
    • Levente Kuthi
    • Farkas Sukosd
    • Janos Fillinger
    • Judit Moldvay
    • Erika Toth
    • Marc Aubreville
    • Vivien Miczan
    • Peter Horvath

• Future Frequency Stabilisation by Innovative Hydraulic Variable Inertia Flywheel

  Reese, L., Rettig, A., & Jauch, C. (2026). Future Frequency Stabilisation by Innovative Hydraulic Variable Inertia Flywheel. In 19. Symposium Energieinnovation 2026. http://doi.org/10.13140/RG.2.2.34154.27848

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  • Personenseiten

    • Jauch, Clemens

  • Forschungsprojekt

    • Inno!Nord-HYDRAD - Hydraulischer Schwungradspeicher

  • Abteilung/Einrichtung

    • Wind Energy Technology Institute

  • Profilbereich

    • Erneuerbare Energien und nachhaltige Entwicklung

  • Forschungsfeld

    • Netzintegration

  • Fachbereich

    • Fachbereich 2: Energy and Life Science

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  • 2026
  • Conference Paper
  • • Lisanne Reese
    • Arne Rettig
    • Prof. Dr. Clemens Jauch

• Benchmarking Deep Learning and Vision Foundation Models for Atypical vs. Normal Mitosis Classification with Cross-Dataset Evaluation

  Banerjee, S., Weiss, V., Donovan, T. A., Fick, R., Conrad, T., Ammeling, J., … Bertram, C. A. (2026). Benchmarking Deep Learning and Vision Foundation Models for Atypical vs. Normal Mitosis Classification with Cross-Dataset Evaluation. Machine Learning for Biomedical Imaging, 3, 115–125. http://doi.org/https://doi.org/10.59275/j.melba.2026-6c1g

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  • Personenseiten

    • Banerjee, Sweta
    • Porsche, Nils
    • Aubreville, Marc

  • Forschungsprojekt

    • (mu)ROMI: Robust and Accurate Multi-Tumor, Multi-Species, Multi-Laboratory and Multi-Scanner Mitosis Detection with Large-Scale Datasets and Artificial Intelligence

  • Abteilung/Einrichtung

    • FLAIR - Flensburg Artificial Intelligence Research

  • Profilbereich

    • Informatik und Gestaltung

  • Forschungsfeld

    • Data Science und Künstliche Intelligenz

  • Fachbereich

    • Fachbereich 3: Information und Kommunikation

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  • 2026
  • Journal Article
  • • Sweta Banerjee
    • Viktoria Weiss
    • Taryn Donovan
    • Rutger Fick
    • Thomas Conrad
    • Jonas Ammeling
    • Nils Porsche
    • Robert Klopfleisch
    • Christopher Kaltenecker
    • Katharina Breininger
    • Marc Aubreville
    • Christof Bertram

• Enabling Fast and Mobile Histopathology Image Annotation through Swipeable Interfaces SWAN

  Banerjee, S., Gosch, T., Hester, S., Weiss, V., Conrad, T., Donovan, T. A., … Aubreville, M. (2026). Enabling Fast and Mobile Histopathology Image Annotation through Swipeable Interfaces SWAN. In H. Handels, K. Breininger, T. Deserno, A. Maier, K. Maier-Hein, C. Palm, & T. Tolxdorff (Hrsg.), Bildverarbeitung für die Medizin 2026 (S. 203–209). Wiesbaden: Springer Fachmedien Wiesbaden. http://doi.org/10.1007/978-3-658-51100-5_42

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  • Personenseiten

    • Banerjee, Sweta
    • Porsche, Nils
    • Aubreville, Marc

  • Forschungsprojekt

    • (mu)ROMI: Robust and Accurate Multi-Tumor, Multi-Species, Multi-Laboratory and Multi-Scanner Mitosis Detection with Large-Scale Datasets and Artificial Intelligence

  • Abteilung/Einrichtung

    • FLAIR - Flensburg Artificial Intelligence Research

  • Profilbereich

    • Informatik und Gestaltung

  • Forschungsfeld

    • Data Science und Künstliche Intelligenz

  • Fachbereich

    • Fachbereich 3: Information und Kommunikation

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  • 2026
  • Conference Paper
  • • Sweta Banerjee
    • Timo Gosch
    • Sara Hester
    • Viktoria Weiss
    • Thomas Conrad
    • Taryn Donovan
    • Nils Porsche
    • Jonas Ammeling
    • Christoph Stroblberger
    • Robert Klopfleisch
    • Christopher Kaltenecker
    • Christof Bertram
    • Katharina Breininger
    • Marc Aubreville
    • Heinz Handels
    • Thomas Deserno
    • Andreas Maier
    • Klaus Maier-Hein
    • Christoph Palm
    • Thomas Tolxdorff

• Closeness Atoms: Towards more Personal Relatedness Technologies

  Butenberg, C., Zumaya, M. \ia del M., Hassenzahl, M., & Wallbaum, T. (2026). Closeness Atoms: Towards more Personal Relatedness Technologies. In Proceedings of the 10th ACM International Symposium on Pervasive Displays. New York, NY, USA: Association for Computing Machinery. http://doi.org/10.1145/3797993.3798002

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  Young adults in long-distance relationships often miss the presence of their loved ones. Technologically mediated awareness offers a potential remedy. While Human-Computer Interaction has introduced various concepts to support such connections, these are often limited by predefined input/output modalities and fixed interaction forms. This restricts personalization and can hinder user acceptance. To address these limitations, we propose a concept of a customizable toolbox of “Closeness Atoms”. We studied needs and requirements of young adults in long-distance relationships via an online survey (n=94), literature review (n=53) and semi-structured interviews (n=7). Our findings indicate a wish to share everyday moments, emotions, and activities, but lack personalized ways to express their unique forms of relatedness. Therefore our toolbox concept enables users to combine and configure modalities such as light, sound, and video to create individual relatedness experiences. This approach supports flexible, emotionally meaningful connections tailored to diverse personal and relational needs.

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  • Personenseiten

    • Wallbaum, Torben

  • Forschungsprojekt

    • Miteinander: Mit interaktiver Technologie in Alltagssituationen Nähe auf Distanz ermöglichen

  • Abteilung/Einrichtung

    • CIVU – Center for Interaction, Visualization and Usability

  • Profilbereich

    • Informatik und Gestaltung

  • Forschungsfeld

    • Human-Computer-Interaction

  • Fachbereich

    • Fachbereich 3: Information und Kommunikation

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  • 2026
  • Conference Paper
  • • Chantal Butenberg
    • Mar\ Zumaya
    • Marc Hassenzahl
    • Torben Wallbaum
  • • Relatedness
    • awareness
    • personalization
    • adaptable systems
    • long-distance relationships
    • in-/output modalities