Bartscher, T., & Nissen, R. (2021). Akademische (Weiter-)Bildung im Learning Hub. Deggendorf/Flensburg: i:ad-Studie 2021. (Original work published 2021)
Teistler, M., Reinhold, S., Süncksen, M., & Mayer, L. (2021). Training Visuospatial And Visuomotor Skills For Ultrasound Imaging With A Game. In 107th Scientific Assembly and Annual Meeting (RSNA 2021). Chicago, IL, USA: Radiological Society of North America. (Original work published Dezember 2021)
Schulze-Heuling, L., Wild, S., & Vest, A. (2021). Digital Competences of Prospective Engineers and Science Teachers: A Latent Profile and Correspondence Analysis. International Journal of Education in Mathematics, Science and Technology (IJEMST), 9(4), 760-782. http://doi.org/https://doi.org/10.46328/ijemst.1831 (Original work published Oktober 2021)
Volta, D., & Weber, S. (2021). The Physical Optimum as an Ideal Reference Value for Balancing Thermodynamic Processes Integrating the Exergetic Evaluation by the Example of Heat Supply. MDPI Energies, 14(15), 15. http://doi.org/https:// doi.org/10.3390/en14154426 (Original work published Juli 2021)
Abstract
This paper contains the basic definition and application of the physical optimum as a method for process evaluation and optimization. By means of the exemplary balance of a wood pellet-fired boiler, the conventional efficiency is compared to the PhO. Furthermore, this study demonstrates the possibility of applying the thermodynamic state variable exergy as a physical reference property of a system within the PhO method. To explain the approach, the heat generation in the wood pellet-fired boiler is compared to the supply from a heat pump, which itself is connected to a power plant. Furthermore, the process-independent PhO is explained in order to illustrate the limitations of feasible optimization. Additionally, possible research topics such as the inte-gration of dynamic behavior in the method are approached. As a conclusion, the differences be-tween the methods outline the advantage of the PhO in the optimization process.
Gürgan, S., Mayer, L., Hahn, M., Seller, A., Bertel, S., Teistler, M., & Gall, C. (2021). SonoGame. In Senologie - Zeitschrift für Mammadiagnostik und -therapie (Bd. 18). Thieme. http://doi.org/10.1055/s-0041-1730164 (Original work published Juni 2021)
Geisler, J., & Branlard, E. (2021). Symbolic Flexible Multibody Models for Wind Turbine Controller Design and Analysis. Hannover / Online: Wind Energy Science Conference. http://doi.org/10.5281/zenodo.5148447 (Original work published Mai 2021)
Geisler, J. (2021). A Familie of Simplified Aerodynamic Models for Wind Turbine Controller Design and Analysis. Hannover / Online: Wind Energy Science Conference. http://doi.org/10.5281/zenodo.5148441 (Original work published Mai 2021)
Thiesen, H., & Jauch, C. (2021). Application of a New Dispatch Methodology to Identify the Influence of Inertia Supplying Wind Turbines on Day-Ahead Market Sales Volumes. Energies, 14(5). http://doi.org/10.3390/en14051255 (Original work published Februar 2021)
Abstract
Power system inertia is an essential part of grid frequency control. The number of synchronously connected machines, which inherently provide inertia, is decreasing due to the transition to renewable energies. Conventional generation units are being replaced by renewable generation units which are connected to the grid via frequency converters. Some power systems already suffer from too little power system inertia. Hence, inertia is a valuable yet non-traded commodity. A day-ahead dispatch methodology to secure power system inertia was developed and is applied and assessed in this work. Day-ahead market data of the combined market of the Republic of Ireland and Northern Ireland is used. If the superimposition of sell and buy bids results in insufficient inertia, the dispatch algorithm is applied. In decreasing price order, non-inertia-providing sell bids get replaced by the following sell bids in the merit order. The iterative process is repeated until sufficient inertia is in the system. The provision of synthetic inertia by wind turbines is considered in the process. The costs for additional stored kinetic energy for the assessed time periods and scenarios result in costs ranging from 1.02 to 4.49 EUR/kgm2.
Ivannikov, V., Thomsen, F., Ebel, T., & Willumeit-Römer, R. (2021). Capturing shrinkage and neck growth with phase field simulations of the solid state sintering. Modelling and Simulation in Materials Science and Engineering, 29(7). http://doi.org/10.1088/1361-651X/ac1f87
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.