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2023

An algorithm to approximate the real trilogarithm for a real argument

Voigt, A. (2023). An algorithm to approximate the real trilogarithm for a real argument. Arxiv. http://doi.org/https://doi.org/10.48550/arXiv.2308.11619 (Original work published 08/2023)

Abstract

We present an algorithm to approximate the real trilogarithm for a real argument with IEEE 754-1985 double precision accuracy. The approximation is structured such that it can make use of instruction-level parallelism when executed on appropriate CPUs.
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Fachbereich 2: Energy and Life Science
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2023

Journal Article

Alexander Voigt

arXiv

trilogarithm

C
Variable Blade Inertia in State-of-the-Art Wind Turbine Structural-Dynamics Models

Alhrshy, L., Lippke, A., & Jauch, C. (2023). Variable Blade Inertia in State-of-the-Art Wind Turbine Structural-Dynamics Models. Energies, 16(16), 22. http://doi.org/https://doi.org/10.3390/en16166061 (Original work published 08/2023)

Abstract

This paper presents a comparison of two methods to represent variable blade inertia in two codes for aero-servo-elastic simulations of wind turbines: the nonlinear aeroelastic multi-body model HAWC2 and the nonlinear geometrically exact beam model BeamDyn for OpenFAST. The main goal is to enable these tools to simulate the dynamic behavior of a wind turbine with variable blade inertia. However, current state-of-the-art load simulation tools for wind turbines cannot simulate variable blade inertia, so the source code of these tools must be modified. The validity of the modified codes is proven based on a simple beam model. The validation shows very good agreement between the modified codes of HAWC2, BeamDyn and an analytical calculation. The add-on of variable blade inertias is applied to reduce the mechanical loads of a 5-megawatt reference wind turbine with an integrated hydraulic-pneumatic flywheel in its rotor blades.
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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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2023

Journal Article

Laurence Alhrshy

Alexander Lippke

Clemens Jauch
“You can concentrate better on the topics and invest more time in it”: A case study evaluating the impact of immersive scheduling on students

van der Sluis, H., & Tausch-Nebel, L. (2023). “You can concentrate better on the topics and invest more time in it”: A case study evaluating the impact of immersive scheduling on students. Compass: Journal Of Learning And Teaching, 16(2), 16. http://doi.org/https://doi.org/10.21100/compass.v16i2.1413 (Original work published 08/2023)
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Tausch-Nebel, Lasse

Fachbereich

Fachbereich 4: Wirtschaft
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2023

Journal Article

Hendrik van der Sluis

Lasse Tausch-Nebel
Evaluierung und Optimierung von Business-Intelligence-Systemen in der öffentlichen Verwaltung - Ein Use-Case-basierter Ansatz

Sietas, J., Petersen, K., & Gerken, J. M. (2023). Evaluierung und Optimierung von Business-Intelligence-Systemen in der öffentlichen Verwaltung - Ein Use-Case-basierter Ansatz. Anwendungen Und Konzepte Der Wirtschaftsinformatik, 17. (Original work published 07/2023)
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Petersen, Kai

Gerken, Jan

Forschungsprojekt

BI-F 2022: Business Intelligence 2022 – Stadtverwaltung Flensburg

Abteilung/Einrichtung

FLAIR - Flensburg Artificial Intelligence Research

Profilbereich

Informatik und Gestaltung

Forschungsfeld

Digitale Transformation

Data Science und Künstliche Intelligenz

Fachbereich

Fachbereich 4: Wirtschaft
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2023

Journal Article

Jacob Sietas

Kai Petersen

Jan Gerken
„Man ist mehr im Stoff drin“ – Befunde aus der Verblockung von Grundlagenkursen

Tausch-Nebel, L., & van der Sluis, H. (2023). „Man ist mehr im Stoff drin“ – Befunde aus der Verblockung von Grundlagenkursen. Die Neue Hochschule (Dnh), (3/2023), 4. (Original work published 06/2023)
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Tausch-Nebel, Lasse

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Fachbereich 4: Wirtschaft
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2023

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Lasse Tausch-Nebel

Hendrik van der Sluis
TAILING: Tail Distribution Forecasting of Packet Delays using Quantile Regression Neural Networks

Lübben, R., & Rizk, A. (2023). TAILING: Tail Distribution Forecasting of Packet Delays using Quantile Regression Neural Networks. In IEEE International Conference on Communications (ICC) (S. 7). (Original work published 05/2023)
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Lübben, Ralf

Abteilung/Einrichtung

FLAIR - Flensburg Artificial Intelligence Research

Profilbereich

Informatik und Gestaltung

Forschungsfeld

Data Science und Künstliche Intelligenz

Fachbereich

Fachbereich 4: Wirtschaft
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2023

Conference Paper

Ralf Lübben

Amr Rizk

2022

A Resource-Efficient Design for a Flexible Hydraulic-Pneumatic Flywheel in Wind Turbine Blades

Alhrshy, L., & Jauch, C. (2022). A Resource-Efficient Design for a Flexible Hydraulic-Pneumatic Flywheel in Wind Turbine Blades. Journal Of Physics: Conference Series, 2265, 032018. http://doi.org/10.1088/1742-6596/2265/3/032018 (Original work published may)

Abstract

The utilization of renewable energy resources significantly increases in order to reduce the impact of climate change. Wind turbines are one of the most important renewable energy sources and have an important role to play in power generation. They do, however, have to serve the increasingly variable demands of the grid. Some of these demands cannot be satisfied with the standard control mechanisms of state-of-the-art wind turbines. A hydraulic-pneumatic flywheel in a wind turbine rotor is one mechanism which, in addition to its various grid services, can also reduce the mechanical loads on the structure of a wind turbine. However, the installation of such a flywheel into rotor blades increases the weight of the blades. This paper focusses on the development of a design method for reducing the additional mass of the flywheel. This method incorporates the piston accumulators of the flywheel in the blade support structure, which allows for the replacement of parts of the blade spar caps with composite material from the piston accumulators. This enables the flywheel to be installed into the rotor blades without making the wind turbine significantly heavier.
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Jauch, Clemens
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2022

Journal Article

L Alhrshy

Prof. Dr. Clemens Jauch
Atmospheric Irrigation with Wind Turbines

Jauch, C., & Emeis, S. (2022). Atmospheric Irrigation with Wind Turbines. Journal Of Physics: Conference Series, 2265, 042066. http://doi.org/10.1088/1742-6596/2265/4/042066 (Original work published may)

Abstract

In this paper, atmospheric irrigation with wind turbines is proposed. This technology addresses the problem of water scarcity by enhancing the natural water circuit in the atmosphere with wind turbines. There are three different operating modes conceivable for this technology. In two of these the wind turbines interact with the ground in their near wake. The third operating mode is the one which is discussed in this paper, and it aims at transporting water potentially over long distances. The basic working principle, the utilized physical phenomena and the basic design of the technology are introduced. The equations governing the hydraulic and the hydrological effects are presented. The goal of this paper is to quantify the necessary power and the necessary amount of water when wind turbines humidify a certain volume of air in the atmosphere. For this purpose, the power and water demand are assessed, both in a generalized manner and for a realistic scenario. It is concluded that the proposed system can achieve the objective in most wind speed conditions. However, the required amount of water is substantial. Therefore, an alternative source of fresh water has to be found when the system is used on a comparably large scale.
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Jauch, Clemens
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2022

Journal Article

Prof. Dr. Clemens Jauch

S Emeis
Four-dimensional wind field generation for the aeroelastic simulation of wind turbines with lidars

Chen, Y., Guo, F., Schlipf, D., & Cheng, P. W. (2022). Four-dimensional wind field generation for the aeroelastic simulation of wind turbines with lidars. Wind Energy Science, 7, 539-558. http://doi.org/10.5194/wes-7-539-2022 (Original work published mar)
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Schlipf, David
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2022

Journal Article

Yiyin Chen

Feng Guo

David Schlipf

Po Cheng
Digitale Sichtbarkeit – Eine Umfrage in der Global Digital Women Community

Reimer, T., & Onaran, T. (2022). Digitale Sichtbarkeit – Eine Umfrage in der Global Digital Women Community. Zeitschrift Für Diversitätsforschung Und -Management, 7(1), 25-26. Abgerufen von https://doi.org/10.3224/zdfm.v7i1.12 (Original work published 2022/07/15)
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Jackstädt-Zentrum Flensburg (JZF)

Profilbereich

Start-up- und KMU-Management

Forschungsfeld

Fachkräfte und Vernetzung

Fachbereich

Fachbereich 4: Wirtschaft
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2022

Journal Article

Tanja Reimer

Tijen Onaran

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2023

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2022

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