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Marcus Venzke

Foto von Marcus Venzke
Dr. Marcus Venzke
Raum 4.086, Gebäude E
Am Schwarzenberg-Campus 3
21073 Hamburg
Telefon040 42878 - 3378
Fax040 42878 - 2581
E-Mail

Ich bin seit 1997 im Institut für Telematik, ab 2004 als Oberingenieur. Meine private Homepage finden Sie unter www.MarcusVenzke.de.

Lehre

Projekte

Publikationen

Tobias Lübkert, Marcus Venzke und Volker Turau. Appliance Commitment for Household Load Scheduling Algorithm: A Critical Review. In 2017 IEEE International Conference on Smart Grid Communications (SmartGridComm), accepted for publication, Oktober 2017. Dresden, Germany.
@InProceedings{Telematik_SGC_2017, author = {Tobias Lübkert and Marcus Venzke and Volker Turau}, title = {Appliance Commitment for Household Load Scheduling Algorithm: A Critical Review}, booktitle = {2017 IEEE International Conference on Smart Grid Communications (SmartGridComm), accepted for publication}, pages = , day = {23-26}, month = oct, year = 2017, location = {Dresden, Germany}, }
Tobias Lübkert, Marcus Venzke, Nhat-Vinh Vo und Volker Turau. Understanding Price Functions to Control Domestic Electric Water Heaters for Demand Response. Computer Science - Research and Development, accepted for publication, 2017.
@Article{Telematik_Demand_Response_DEWH_2017, author = {Tobias Lübkert and Marcus Venzke and Nhat-Vinh Vo and Volker Turau}, title = {Understanding Price Functions to Control Domestic Electric Water Heaters for Demand Response}, pages = , journal = {Computer Science - Research and Development, accepted for publication}, volume = {}, year = 2017, }
Tobias Lübkert, Marcus Venzke und Volker Turau. Impacts of Domestic Electric Water Heater Parameters on Demand Response. Computer Science - Research and Development, 32:49–64, 2017.
@Article{Telematik_Demand_Response_DEWH_2016, author = {Tobias Lübkert and Marcus Venzke and Volker Turau}, title = {Impacts of Domestic Electric Water Heater Parameters on Demand Response}, pages = {49-64}, journal = {Computer Science - Research and Development}, volume = {32}, year = 2017, }
Abstract: This paper analyzes the impact of the high dimen- sional parameter space of domestic electric water heaters (DEWH) for demand response (DR). To quantify the con- sumer comfort a novel metric is introduced considering a stochastic distribution of different water draw events. Incor- porating three control algorithms from literature, it is shown that all considered parameters of a DEWH except the heat conductivity have a significant impact on consumer satisfac- tion. The effect on DR is mainly influenced by the temper- ature range and the planning horizon, but also by the heat conductivity and the volume. In contrast, the rated power of the heating element and the nominal temperature have no significant impact on the effect on DR. The impacts are an- alyzed by varying these parameters in a simulation of 1000 DEWHs considering three different controllers: a common thermostat, an exchange price dependent nominal temper- ature changing mechanism and an energy scheduling algo- rithm proposed by Du and Lu.

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