Thiesen, H. ., Gloe, A. ., & Jauch, C. . (2021). Grid Frequency Data - WETI. https://osf.io/jbk82/: Open Science Framework. http://doi.org/10.17605/OSF.IO/JBK82
Abstract
Grid Frequency Data - WETI
Overview
Data type: grid frequency data
File type: CSV
Location of measurement: Flensburg, Germany
Resolution: ~ 6.1Hz
Measurement precision: 3 decimal
Decription
The presented grid frequency data is part of research activities at the Wind Energy Technology Instiute (WETI) at the Flensburg University of Applied Sciences. The measurement campaign is conducted in Flensburg, Germany. Hence, the grid frequency of the synchronous area of Continental Europe is tracked. A Dewetron 2010 measurement system is used to record and compute the data. The measurement system computes the grid frequency by tracking the grid voltage with a high sampling rate of 50 kHz. Every 164 ms the software fits a sinusoidal curve into the recorded voltage measurement points using the least-square-sums approach. The period of the resulting sinusoidal function is used as a measure for grid frequency.
Data Structure
Each csv-file provides data for one month of the year. Data is structured as follows:
Column 1: Year of type integer
Column 2: Month of type integer
Column 3: Day of type integer
Column 4: Hour of type integer
Column 5: Minute of type integer
Column 6: Second and Milliseconds of type float
Column 7: Deviation of the nominal grid frequency in Hz of type float
Pornak, S. C., Papachrysanthou, A. ., & Lehr, B. . (2021). Apps und webbasierte Interventionen in der Prostatakrebsnachsorge – ein Scoping Review. Der Urologe, 60, 911–920.
Gasanzade, F. ., Pfeiffer, W. T., Witte, F. ., Tuschy, I. ., & Bauer, S. . (2021). Subsurface renewable energy storage capacity for hydrogen, methane and compressed air – A performance assessment study from the North German Basin. Renewable and Sustainable Energy Reviews, 149, 111422. http://doi.org/https://doi.org/10.1016/j.rser.2021.111422
Abstract
The transition to renewable energy sources to mitigate climate change will require large-scale energy storage to dampen the fluctuating availability of renewable sources and to ensure a stable energy supply. Energy storage in the geological subsurface can provide capacity and support the cycle times required. This study investigates hydrogen storage, methane storage and compressed air energy storage in subsurface porous formations and quantifies potential storage capacities as well as storage rates on a site-specific basis. For part of the North German Basin, used as the study area, potential storage sites are identified, employing a newly developed structural geological model. Energy storage capacities estimated from a volume-based approach are 6510 TWh and 24,544 TWh for hydrogen and methane, respectively. For a consistent comparison of storage capacities including compressed air energy storage, the stored exergy is calculated as 6735 TWh, 25,795 TWh and 358 TWh for hydrogen, methane and compressed air energy storage, respectively. Evaluation of storage deliverability indicates that high deliverability rates are found mainly in two of the three storage formations considered. Even accounting for the uncertainty in geological parameters, the storage potential for the three considered storage technologies is significantly larger than the predicted demand, and suitable storage rates are achievable in all storage formations.
Boysen, C. ., Kaldemeyer, C. ., Sadat, F. ., Tuschy, I. ., Witte, F. ., Bauer, S. ., & Dahmke, A. . (2021). Integration unterirdischer Speichertechnologien in die Energiesystemtransformation am Beispiel des Modellgebietes Schleswig-Holstein - ANGUS II : Schlussbericht zum Verbundvorhaben Teilprojekt Simulation energietechnischer Einzelanlagen. Hochschule Flensburg. Abgerufen von https://www.tib.eu/de/suchen/id/TIBKAT%3A1798315475
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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.