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2021

Software-in-the-Loop Simulation of a Gas-Engine for the Design and Testing of a Wind Turbine Emulator

Rohr, A., & Jauch, C. (2021). Software-in-the-Loop Simulation of a Gas-Engine for the Design and Testing of a Wind Turbine Emulator. Energies, 14. http://doi.org/10.3390/en14102898

Abstract

In order to investigate the grid integration of wind turbines (WT) of various scales and designs, a wind turbine emulator (WTE) is being built in Flensburg within the state-funded project GrinSH. The special feature of this WTE is the use of a large gas engine instead of an electric motor to emulate the behavior of a WT. In order to develop the controls of this innovative WTE and to design the upcoming test runs under safe conditions, a software in the loop model (SILM) was applied. This SILM contained a mathematical model of the wind turbine, mathematical models of the gas engine with an integrated controller, and a model of the generator and frequency converter unit, as well as a preventive modulator of the reference signal (PMRS). The PMRS module converts the reference signal of the emulated WT in such a way that the dynamics of the engine components can be calculated and balanced in advance to enable the required behavior of the entire SILM despite the dynamics of the gas engine. It was found that the PMRS module, developed and tested in this work, increased the ability of the WTE, based on a gas engine, to reproduce the dynamics of a WT.
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Rohr, Alexander

Jauch, Clemens
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2021

Journal Article

Alexander Rohr

Prof. Dr. Clemens Jauch
Implementation of Variable Blade Inertia in OpenFAST to Integrate a Flywheel System in the Rotor of a Wind Turbine

Alhrshy, L. (2021). Implementation of Variable Blade Inertia in OpenFAST to Integrate a Flywheel System in the Rotor of a Wind Turbine. Energies, 14. http://doi.org/10.3390/en14102783

Abstract

In this paper, the integration of the dynamic behavior of the flywheel system into the load simulation tool OpenFAST is presented. The flywheel system enables a wind turbine to vary the inertia of its rotor blades to control the power production and, most importantly, to affect the vibratory behavior of wind turbine components. Consequently, in order to simulate the behavior of a wind turbine with a flywheel system in its rotor, the variable blade characteristics need to be considered in the load simulation tool. Currently, computer-aided engineering tools for simulating the mechanical loads of wind turbines are not designed to simulate variable blade inertia. Hence, the goal of this paper is to explain how variable inertias of rotor blades are implanted in such load simulation tools as OpenFAST. OpenFAST is used because of it is free, publicly available, and well documentation. Moreover, OpenFAST is open source, which allows modifications in its source code. This add-on in the load simulation is applied to correct rotor mass imbalance. It can also be applied in many cases related to the change in the inertia of wind turbine rotor blades during its operation as, for example, atmospheric ice accretion on the blades, smart blades, etc.
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Alhrshy, Laurence

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Schwungrad

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Wind Energy Technology Institute

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Fachbereich 2: Energy and Life Science
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2021

Journal Article

Laurence Alhrshy
Entrepreneurship Education als Beitrag zur Weiterung der Horizonte

Ebbers, I. (2021). Entrepreneurship Education als Beitrag zur Weiterung der Horizonte.

Abstract

[... Der Beitrag] verfolgt die Frage, wie eine Entrepreneurship Education, verstanden als Erziehung zum unternehmerisches Denken und Handeln, im Rahmen allgemein-bildender Beschulung und mit dem Ziel einer allgemeinbildenden Wirksamkeit so angelegt werden kann, dass sie einen Beitrag zur Horizontweitung der Lernenden leisten kann. Um diese Frage beantworten zu können, soll im weiteren Verlauf der Bildungsbegriff nach Klafki genutzt werden. Er bezieht sich hier im Wesentlichen auf vier Aufgaben der Bildung, welche im Folgenden vor dem Hintergrund der hier gemeinten Entrepreneurship Education genauer betrachtet werden sollen. (DIPF/Orig.).
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Jackstädt-Zentrum Flensburg (JZF)
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2021

Miscellaneous

Ilona Ebbers

2020

Study of cellular network quality of the eve of 5G technology on a selected example

Falkowski-Gilski, P., & Uhl, T. (2020). Study of cellular network quality of the eve of 5G technology on a selected example. Warszawa: Journal Przeglad Telekomunikacyjny. http://doi.org/10.15199/59.2020.7-8.45 (Original work published 2020)
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Uhl, Tadeus

Fachbereich

Fachbereich 3: Information und Kommunikation
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2020

Journal

Przemyslaw Falkowski-Gilski

Tadeus Uhl
Loop shaping based robust control for floating offshore wind turbines

Yu, W., Lemmer, F., Schlipf, D., & Cheng, P. W. (2020). Loop shaping based robust control for floating offshore wind turbines. In Journal of Physics: Conference Series (Bd. 1618, S. 022066). http://doi.org/10.1088/1742-6596/1618/2/022066 (Original work published 2026)
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Schlipf, David
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2020

Conference Paper

Wei Yu

Frank Lemmer

David Schlipf

Po Cheng
IEA Wind Task 32: Collaborative R\&D Roadmap

Clifton, A., Schlipf, D., Vasiljevic, N., Gottschall, J., Clive, P., Wüerth, I., … Nygaard, N. (2020). IEA Wind Task 32: Collaborative R\&D Roadmap. http://doi.org/10.5281/zenodo.4030701 (Original work published 2026)
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Schlipf, David
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2020

Miscellaneous

Andrew Clifton

David Schlipf

Nikola Vasiljevic

Julia Gottschall

Peter Clive

Ines Wüerth

Rozenn Wagner

Nicolai Nygaard
IEA Wind Task 32 and Task 37: Optimizing Wind Turbines with Lidar-Assisted Control Using Systems Engineering

Simley, E., Bortolotti, P., Scholbrock, A., Schlipf, D., & Dykes, K. (2020). IEA Wind Task 32 and Task 37: Optimizing Wind Turbines with Lidar-Assisted Control Using Systems Engineering. In Journal of Physics: Conference Series (Bd. 1618, S. 042029). http://doi.org/10.1088/1742-6596/1618/4/042029 (Original work published 2026)
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Schlipf, David
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2020

Conference Paper

Eric Simley

Pietro Bortolotti

Andrew Scholbrock

David Schlipf

Katherine Dykes
Lidar-based Estimation of Turbulence Intensity for Controller Scheduling

Schlipf, D., Guo, F., & Raach, S. (2020). Lidar-based Estimation of Turbulence Intensity for Controller Scheduling. In Journal of Physics: Conference Series (Bd. 1618, S. 032053). http://doi.org/10.1088/1742-6596/1618/3/032053 (Original work published 2026)
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Schlipf, David
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2020

Conference Paper

David Schlipf

Feng Guo

Steffen Raach
Multi-Variable Feedforward Control for Floating Wind Turbines Using Lidar

Schlipf, D., Lemmer, F., & Raach, S. (2020). Multi-Variable Feedforward Control for Floating Wind Turbines Using Lidar. In International Ocean and Polar Engineering Conference. http://doi.org/10.18419/opus-11067 (Original work published 2026)
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Schlipf, David
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2020

Conference Paper

David Schlipf

Frank Lemmer

Steffen Raach
oemof.solph- A model generator for linear and mixed-integer linear optimisation of energy systems

Krien, U., Schönfeldt, P., Launer, J., Hilpert, S., Kaldemeyer, C., & Pleßmann, G. (2020). oemof.solph- A model generator for linear and mixed-integer linear optimisation of energy systems. Software Impacts, 6, 100028. http://doi.org/10.1016/j.simpa.2020.100028 (Original work published 2026)
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Fachbereich 2: Energy and Life Science
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2020

Journal Article

Uwe Krien

Patrik Schönfeldt

Jann Launer

Simon Hilpert

Cord Kaldemeyer

Guido Pleßmann

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2021

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