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.).
Mayer, L. ., Süncksen, M. ., Reinhold, S. ., Bertel, S. ., & Teistler, M. . (2021). Training visuospatial skills for medical ultrasound imaging with a desktop-based learning game. In 9th International Conference on Serious Games and Applications for Health (SeGAH 2021). Dubai, United Arab Emirates.
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.
Utermann, C. ., Tasdemir, D. ., & Labes, A. . (2021). Ciona intestinalis in the spotlight of metabolomics and microbiomics : New insights into its invasiveness and the biotechnological potential of its associated microbiota (S. Online-Ressource). Kiel: Universitätsbibliothek Kiel.
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
Petersen, K. ., & eri, J. S. M. (2021). Preliminary Evaluation of a Survey Checklist in the Context of Evidence-based Software Engineering Education. In ENASE (S. 437–444).