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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)

Abstract

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
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
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

Abstract

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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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
Filtering Scheme for Confocal Laser Endomicroscopy (CLE)-video Sequences for Self-supervised Learning

Porsche, N., Müller-Diesing, F., Banerjee, S., Goncalves, M., & Aubreville, M. (2026). Filtering Scheme for Confocal Laser Endomicroscopy (CLE)-video Sequences for Self-supervised Learning. In H. Handels, K. Breininger, T. Deserno, A. Maier, K. Maier-Hein, C. Palm, & T. Tolxdorff (Hrsg.), Bildverarbeitung für die Medizin 2026 (S. 375–380). Wiesbaden: Springer Fachmedien Wiesbaden. http://doi.org/10.1007/978-3-658-51100-5_73
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Porsche, Nils

Banerjee, Sweta

Aubreville, Marc

Forschungsprojekt

Optical Biopsy of Sinonasal Tumors using Confocal Laser Endomicroscopy: A Clinical and Deep Learning-based Assessment and Visualization

Abteilung/Einrichtung

FLAIR - Flensburg Artificial Intelligence Research

Forschungsfeld

Data Science und Künstliche Intelligenz

Fachbereich

Fachbereich 3: Information und Kommunikation
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2026

Conference Paper

Nils Porsche

Flurin Müller-Diesing

Sweta Banerjee

Miguel Goncalves

Marc Aubreville

Heinz Handels

Katharina Breininger

Thomas Deserno

Andreas Maier

Klaus Maier-Hein

Christoph Palm

Thomas Tolxdorff
Exploring General-purpose Autonomous Multimodal Agents for Pathology Report Generation

Aubreville, M., Donovan, T. A., & Bertram, C. A. (2026). Exploring General-purpose Autonomous Multimodal Agents for Pathology Report Generation. In H. Handels, K. Breininger, T. Deserno, A. Maier, K. Maier-Hein, C. Palm, & T. Tolxdorff (Hrsg.), Bildverarbeitung für die Medizin 2026 (S. 393–399). Wiesbaden: Springer Fachmedien Wiesbaden. http://doi.org/10.1007/978-3-658-51100-5_76
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Aubreville, Marc

Forschungsprojekt

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

Forschungsfeld

Data Science und Künstliche Intelligenz

Fachbereich

Fachbereich 3: Information und Kommunikation
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2026

Conference Paper

Marc Aubreville

Taryn Donovan

Christof Bertram

Heinz Handels

Katharina Breininger

Thomas Deserno

Andreas Maier

Klaus Maier-Hein

Christoph Palm

Thomas Tolxdorff
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

Abstract

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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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
Großwärmepumpen für den kurz- bis mittelfristigen Einsatz in multivalenten Wärmeversorgungssystemen

Freißmann, J., Fritz, M., & Tuschy, I. (2026). Großwärmepumpen für den kurz- bis mittelfristigen Einsatz in multivalenten Wärmeversorgungssystemen. In J. Knies, T. Schwarz, & Y. E. Gerling (Hrsg.), Tagungsband zur 3. Konferenz der Norddeutschen Wärmeforschung (S. 54–59). Hochschule Bremen. http://doi.org/10.26092/elib/5016
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Freißmann, Jonas

Fritz, Malte

Tuschy, Ilja
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2026

Conference Paper

Jonas Freißmann

Malte Fritz

Ilja Tuschy

Jürgen Knies

Timmy Schwarz

Yannik Gerling

Wärmewende

Wärmeforschung

Energiewende

Fernwärme

Nahwärme

Transformation

Wärmeversorgung

Energieversorgung

Wärmepumpe

Wohngebäude

Wärmeplanung

Wärmespeicher

Wasserstoff

Energiespeicher
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

2025

"When Two Wrongs Don t Make a Right" - Examining Confirmation Bias and the Role of Time Pressure During Human-AI Collaboration in Computational Pathology

Rosbach, E., Ammeling, J., Krügel, S., Kießig, A., Fritz, A., Ganz, J., … Aubreville, M. (2025). "When Two Wrongs Don t Make a Right" - Examining Confirmation Bias and the Role of Time Pressure During Human-AI Collaboration in Computational Pathology. In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (S. 1–18). Yokohama Japan: ACM. http://doi.org/10.1145/3706598.3713319 (Original work published 2026)
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Aubreville, Marc

Abteilung/Einrichtung

CIVU – Center for Interaction, Visualization and Usability

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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2025

Conference Paper

Emely Rosbach

Jonas Ammeling

Sebastian Krügel

Angelika Kießig

Alexis Fritz

Jonathan Ganz

Chloé Puget

Taryn Donovan

Andrea Klang

Maximilian Köller

Pompei Bolfa

Marco Tecilla

Daniela Denk

Matti Kiupel

Georgios Paraschou

Mun Kok

Alexander Haake

Ronald De Krijger

Andreas Sonnen

Tanit Kasantikul

Gerry Dorrestein

Rebecca Smedley

Nikolas Stathonikos

Matthias Uhl

Christof Bertram

Andreas Riener

Marc Aubreville
GPU Virtualization and Remoting Service for AI Acceleration at the Edge

Gaikwad, N., Lübben, R., & Kosta, S. (2025). GPU Virtualization and Remoting Service for AI Acceleration at the Edge. In Summer School on Cyber-Physical Systems and Internet-of-Things. (Original work published Juli 2025)
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Forschungsprojekt

KI-Anwendungszentrum (KIAZ)

Abteilung/Einrichtung

FLAIR - Flensburg Artificial Intelligence Research

Forschungsfeld

Data Science und Künstliche Intelligenz

Fachbereich

Fachbereich 4: Wirtschaft
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2025

Conference Paper

Nikhil Gaikwad

Ralf Lübben

Sokol Kosta

Publikationen

2026

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