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2021

\# Covid-19: An Exploratory Investigation of Hashtag Usage on Twitter

Petersen, K., & Gerken, J. M. (2021). \# Covid-19: An Exploratory Investigation of Hashtag Usage on Twitter. Health Policy.
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Petersen, Kai

Gerken, Jan

Abteilung/Einrichtung

FLAIR - Flensburg Artificial Intelligence Research
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2021

Journal Article

Kai Petersen

Jan Gerken
Marine microbial-derived molecules and their potential medical and cosmetic applications )

Zhang, J., Zeng, R., & Labes, A. (2021). Marine microbial-derived molecules and their potential medical and cosmetic applications ). Frontiers in Microbiology, 12, 1965. http://doi.org/10.3389/FMICB.2021.706152
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2021

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J. Zhang

R. Zeng

Antje Labes
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

Abstract

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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Witte, Francesco

Tuschy, Ilja

Profilbereich

Erneuerbare Energien und nachhaltige Entwicklung

Forschungsfeld

Wärme

Netzintegration

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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
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
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

Forschungsprojekt

Schwungrad

Abteilung/Einrichtung

Wind Energy Technology Institute

Fachbereich

Fachbereich 2: Energy and Life Science
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2021

Journal Article

Laurence Alhrshy
Delegating Supersingular Isogenies over F_p^2 with Cryptographic Applications

Pedersen, R., & Uzunkol, O. (2021). Delegating Supersingular Isogenies over F_p^2 with Cryptographic Applications. IACR Cryptol. ePrint Arch., 2021, 506. Abgerufen von https://eprint.iacr.org/2021/506
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Uzunkol, Osmanbey

Fachbereich

Fachbereich 3: Information und Kommunikation
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2021

Journal Article

Robi Pedersen

Osmanbey Uzunkol
Grid Support with Wind Turbines: The Case of the 2019 Blackout in Flensburg

Gloe, A., Jauch, C., & Räther, T. (2021). Grid Support with Wind Turbines: The Case of the 2019 Blackout in Flensburg. Energies, 14(6), 1697. http://doi.org/10.3390/en14061697

Abstract

The work presented in this paper aims to show how modern wind turbines can help to control the frequency in a small grid which suffers from large power imbalances. It is shown for an exemplary situation, which occurred in Flensburg’s distribution grid in 2019: a major blackout, which occurred after almost two hours in islanding operation, affecting almost the entire distribution grid, which supplies approximately 55,000 households and businesses. For the analysis, a wind turbine model and a grid support controller developed at the Wind Energy Technology Institute are combined with real measurements from the day of the blackout to generate a fictional yet realistic case study for such an islanding situation. For this case study, it is assumed that wind turbines with grid support functionalities are connected to the medium voltage distribution grid of the city. It is shown to what extent wind turbines can help to operate the grid by providing grid frequency support in two ways: By supplying synthetic inertia only, where the wind turbines can help to limit the rate of change of frequency in the islanded grid directly after losing the connection to the central European grid. In combination with the primary frequency control capabilities of the wind turbines (WTs), the disconnection of one gen set in the local power station might have been avoided. Furthermore, wind turbines with primary frequency control capabilities could have restored the grid frequency to 50 Hz shortly after the islanding situation even if the aforementioned gen-set was lost. This would have allowed connecting a backup medium voltage line to the central European grid and thereby avoiding the blackout.
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Gloe, Arne

Jauch, Clemens

Forschungsprojekt

Grenzland INNOVATIV Schleswig-Holstein

Abteilung/Einrichtung

Wind Energy Technology Institute
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2021

Journal Article

Arne Gloe

Prof. Dr. Clemens Jauch

Thomas Räther

WETI
Feature selection techniques for modelling tower fatigue loads of a wind turbine with neural networks

Movsessian, A., Schedat, M., & Faber, P. D.-I. T. (2021). Feature selection techniques for modelling tower fatigue loads of a wind turbine with neural networks. Wind Energy Science. http://doi.org/https://doi.org/10.5194/wes-6-539-2021
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Faber, Torsten

Abteilung/Einrichtung

Wind Energy Technology Institute
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2021

Journal Article

A. Movsessian

M. Schedat

Prof. Dr.-Ing. Torsten Faber

WETI
Influence of Continuous Provision of Synthetic Inertia on the Mechanical Loads of a Wind Turbine

Gloe, A., Jauch, C., Craciun, B., Zanter, A., & Winkelmann, J. (2021). Influence of Continuous Provision of Synthetic Inertia on the Mechanical Loads of a Wind Turbine. Energies, 14(16), 5185. http://doi.org/10.3390/en14165185

Abstract

In many electrical grids, the share of renewable energy generation increases. As these generators are typically connected to the grid via inverters, the level of grid inertia decreases. Such grids may therefore suffer from high rates of change of frequency during power imbalances. Modern wind turbines can help in controlling the frequency in such grids by providing synthetic inertia. A controller to provide synthetic inertia with wind turbines was developed at the Wind Energy Technology Institute in collaboration with Suzlon Energy. For this controller the influence of providing synthetic inertia on the mechanical loads of the wind turbine is assessed for different grid frequency scenarios. Such a scenario-based load analysis has not been published before, especially as the scenarios are derived from real measurements. The effect of the loads strongly depends on the analyzed grid frequency behavior. Ten months of high quality grid frequency measurements of the Indian grid are analyzed in order to derive inputs for the load calculation. Different types of grid frequency abnormities are identified and categorized with respect to their severity. Based on the observed occurrences of the grid frequency abnormities, realistic scenarios for the load calculations are chosen. The load calculations are performed for a state-of-the-art Suzlon wind turbine generator. The load increases caused by the supply of synthetic inertia are calculated for individual components assuming an otherwise undisturbed power production of the wind turbine in turbulent wind. Furthermore, a hardware-in-the-loop test bench is used to show how the measured grid frequencies are actually perceived by the control system of a typical wind turbine. The original frequency data were recorded with high quality measurement equipment, which is faster and more accurate than a multi-function relay, often used in wind turbines. For exemplary time traces, the effect of the reduced measurement accuracy on the reaction of the wind turbine is shown. This aspect has not been investigated in the literature yet. The results show that wind turbines can provide synthetic inertia without a considerable effect on the lifetime of the wind turbine. However, there are still problems with providing synthetic inertia reliably at high power operating points, which have to be solved.
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Gloe, Arne

Jauch, Clemens

Abteilung/Einrichtung

Wind Energy Technology Institute

Fachbereich

Fachbereich 2: Energy and Life Science
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2021

Journal Article

Arne Gloe

Prof. Dr. Clemens Jauch

B. Craciun

Arvid Zanter

J. Winkelmann

WETI

2020

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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