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 -