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
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).
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.
Irshad, M., Britto, R., & Petersen, K. (2021). Adapting Behavior Driven Development (BDD) for large-scale software systems. Journal of Systems and Software, 177, 110944.
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
Bertel, S., Beck, L., Clausen, B., & Räker, T. (2021). Kompetenzen für eine digitale Welt. Wie viel Wissenschaft braucht die Lehrerfortbildung? Arbeitsbündnisse im analogen und virtuellen Raum. Universität Regensburg.
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.
Chirvi, M., Huber, H.-P., & Schneider, C. (2021). Biased Preferences for Wealth Taxation: The Case of Misperceived Tax Burden Consequences. TRR 266 Working Paper Series.
Abstract
The individual capacity to form personal preferences constitutes an essential element of thedemocratic process. At the same time, policies with far-reaching consequences often require profound expertise. Taxation is such an example. Due to its complex character, bounded rationality might induce biases causing other outcomes than intended. This paper quantifies shifts in stated preferences for wealth taxation caused by misperceived burden consequences of commonly politically discussed tax parameters: tax allowances and tax rates. For this, we conducted a randomized survey experiment with over 1,200 respondents in Germany. In a 2 by 2 design, our respondents were randomly selected to indicate both their preferred tax allowance and tax rate for either a yearly or a one-time wealth tax. Our treatment group was provided with easy-to-understand information on the resulting effective lifetime tax burden for the respective instrument. We find the preferred effective tax rate to drop by almost 15 percentage points for a yearly wealth tax if our participants are fully informed, whereas we do not find this effect for the one-time wealth tax. In terms of informed preferences our respondents preferthe yearly wealth tax over a one time wealth tax if misperceptions are resolved: the preferred effective tax burden of a yearly wealth tax is about 25 percentage points higher (40.0% vs.15.2%). While not being able to fully explain the source of this difference, we argue that both the total burden as well as the reasonability of single payments might be factors that form preferences for tax parameters.
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.