TY - CHAP A1 - Feilhauer, Thomas A1 - Finck, Steffen ED - Unterkofler, Karl ED - Fetz, Thomas T1 - Optimization with the Distributed Execution Framework T2 - ÖMG Conference 2019. Program and book of abstracts. University of Applied Sciences Vorarlberg, Dornbirn. September 16–20, 2019 Y1 - 2019 SP - 71 PB - ÖMG CY - Wien ER - TY - CHAP A1 - Böhler, Doris T1 - Doing refugee categorisation? Reflections on asylum procedures involving narratives taken from asylum court decisions T2 - Social Protection & Human Dignity. IFSW European Conference. Vienna 2019. Abstracts. Workshops and Paper Presentations Y1 - 2019 UR - https://www.ifsw2019.com/wp/wp-content/uploads/2019/09/ABSTRACTS-book-final.pdf SP - 25 ER - TY - CHAP A1 - Wilms, Falko ED - Duden, Antje T1 - Strukturierung von reflexiver Kommunikation in der Theorie sozialer Systeme T2 - Reflexive Kommunikation analog und digital KW - Beobachtung KW - Einheit der Differenz KW - Kalkül KW - reflexive Kommunikation Y1 - 2019 SN - 978-3-86573-822-6 SP - 41 EP - 70 PB - Wissenschaftlicher Verlag Berlin CY - Berlin ER - TY - CHAP A1 - Duden, Antje A1 - Mayer, Horst Otto A1 - Meusburger, Magdalena A1 - McCormick Williams, Michael A1 - Wilms, Falko ED - Duden, Antje T1 - Was ist zu tun? T2 - Reflexive Kommunikation analog und digital Y1 - 2019 SP - 71 EP - 76 PB - Wissenschaftlicher Verlag Berlin CY - Berlin ER - TY - GEN A1 - Hefel, Johanna T1 - Rezension zu: Martin W. Schnell, Christian Schulz-Quach, Christine Dunger (Hrsg.): 30 Gedanken zum Tod. Die Methode der Framework Analysis T2 - socialnet Rezensionen KW - Frame Work Analysis KW - Soziale Arbeit KW - Forschung KW - Verlust KW - Tod Y1 - 2019 UR - https://www.socialnet.de/rezensionen/24438.php ER - TY - JOUR A1 - Yuan, Xueyong A1 - Schwendtner, Michael A1 - Trotta, Rinaldo A1 - Huo, Yongheng A1 - Martín-Sánchez, Javier A1 - Piredda, Giovanni A1 - Huang, Huiying A1 - Edlinger, Johannes A1 - Diskus, Christian A1 - Schmidt, Oliver G. A1 - Jakoby, Bernhard A1 - Krenner, Hubert J. A1 - Rastelli, Armando T1 - A frequency-tunable nanomembrane mechanical oscillator with embedded quantum dots JF - Applied Physics Letters Y1 - 2019 U6 - http://dx.doi.org/10.1063/1.5126670 VL - 115. Jg. IS - H. 18/181902 ER - TY - CHAP A1 - Duden, Antje A1 - McCormick Williams, Michael ED - Duden, Antje T1 - Wie meistern wir die einzelnen Phasen?! T2 - Reflexive Kommunikation analog und digital KW - Teilnehmenden-Kreis KW - Zeitrahmen KW - Einverständnis KW - Verantwortung Y1 - 2019 SN - 978-3-86573-822-6 SP - 33 EP - 39 PB - Wissenschaftlicher Verlag Berlin CY - Berlin ER - TY - THES A1 - Kepplinger, Peter T1 - Autonomous demand side management of domestic hot water heaters N2 - Load shifting of resistive domestic hot water heaters has been done in Europe since the 1930s, primarily to ease the power supply during peak times. However, the pursued and already commenced energy transition in Europe changes the requirements for the underlying logic. In this more general context, demand side management is considered a viable approach to utilize the flexibility of thermal and electrochemical storage systems for buffering energy generated from renewables. In this work, an autonomous approach for demand side management of energy storage systems is developed, which is based on unidirectional communication of an incentive. This concept is then applied to the specific problem of resistive domestic hot water heaters. The basic algorithms for an optimized operation are developed and evaluated based on simulation studies. The optimization problem considered, maps the search for the optimal heating schedule, while ensuring the temperature limits defined: Firstly, a maximum, which is defined by the hysteresis set point temperature; Secondly, during hot water draw offs, the outlet temperature should not fall below a set minimum. To establish this, the time series of hot water usage has to be predicted. Depending on the complexity of the hot water heater model used, the formulation of the problem ranges from a linear to non-linear optimization with discontinuous constraints. The simulation studies presented, comprise a formulation as binary linear optimization problem, as well as a solution based on a heuristic direct method to solve the non-linear version. In contrast to the first linear approach, the latter takes stratification inside the tank into account. One-year simulations based on realistic hot water draw profiles are used to investigate the potentials with respect to load shift and energy efficiency improvements. Additional to assuming perfect prediction of user behavior, this work also considers the k-nearest neighbors algorithm to predict the time series. If compared to usual night-tariff switched operation, assuming perfect prediction shows 30 % savings on the electricity market when stratification is taken into account. The user prediction proposed leads to 16 % cost savings, while 6 % of the electric energy is conserved. Based on the linear approach, a prototype is developed and used in a field test. A micro computer processes the sensor information for local data acquisition, receives electricity spot market prices up to 34 hours in advance, solves the optimization problem for this time horizon, and switches the power supply of the resistive heating element accordingly. Beside the temperature of the environment, the inlet and outlet temperatures, the temperature inside the tank is measured at five points, as well as the water volume flow rate and the electric power recorded. Two test runs of 18 days each, compare the night-tariff switched operation to the price-based optimization in a real-world environment. Results show a significant increase of 6 % in thermal efficiency during the operation based on the algorithm developed, which can be contributed to the optimization accounting for the usage expected. To facilitate the technical and economic feasibility for retrofit-able implementations of the method proposed for autonomous demand side management, the sensors used must be kept to a minimum. A sufficiently accurate state estimation of the storage has to be achieved, to facilitate a useful model predictive control. Therefore, the last part of this work focuses on the aspect of automated system identification and state estimation of resistive domestic hot water heaters. To that end, real hot water usage profiles and schedules gathered in a field test are used in a lab setup, to collect data on the temperature distribution inside the tank during realistic operating conditions. Four different thermal models, common in literature, are considered for state estimation and system identification. Based on the data collected in the lab, they are evaluated with respect to robustness, computational costs, and estimation accuracy. Based on the observations made in the experiments, an extension of the one-node model by a single additional parameter is proposed. By this adaption, a linear temperature distribution in the lower part of the tank can be modeled during heating. The resulting model exhibits improved robustness and lower computational costs, when compared to the original model. At the same time, the average temperature in the storage tank is estimated nearly as accurate (6 % mean average percentage error) as in the case of the about 50 times more computationally expensive multi-layer model (4 % mean average percentage error). KW - Peter Kepplinger KW - Demand Side Management KW - Hot Water Heater Y1 - 2018 N1 - Jahr der Abschlussprüfung: 2019 ER - TY - CHAP A1 - Meusburger, Magdalena A1 - Wilms, Falko ED - Duden, Antje T1 - Praktische Herausforderungen der reflexiven Kommunikation T2 - Reflexive Kommunikation analog und digital KW - Reflexive Kommunikation KW - Beziehungsgestaltung KW - Prozesssteuerung KW - Themenbearbeitung Y1 - 2019 SN - 978-3-86573-822-6 SP - 21 EP - 31 PB - Wissenschaftlicher Verlag Berlin CY - Berlin ER - TY - CHAP A1 - Duden, Antje ED - Duden, Antje T1 - Reflexive Kommunikation in Lernenden Organisationen T2 - Reflexive Kommunikation analog und digital KW - Reflexive Kommunikationsprozesse KW - Leadership KW - Management KW - Wirklichkeiten KW - Lernende Organisationen Y1 - 2019 SN - 978-3-86573-822-6 SP - 3 EP - 20 PB - Wissenschaftlicher Verlag Berlin CY - Berlin ER -