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|Titel EN=Smart Energy Distribution
 
|Titel EN=Smart Energy Distribution
 
|Forschungsgruppe=Effiziente Algorithmen
 
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|Dozent=Hartmut Schmeck;  
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|Dozent=Hartmut Schmeck;
|Übungsleiter=Huiwen Xu;  
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|Übungsleiter=Huiwen Xu;
 
|Fach=Informatik
 
|Fach=Informatik
 
|Leistungspunkte=4
 
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|Inhalt=The course will give an overview of current and anticipated future approaches to the distribution and management of electrical energy with special emphasis on the challenges due to the increasing share of energy from renewable sources. The "Energiewende" will lead to a significant increase in fluctuating generation of electric power from wind and from solar panels which can be controlled to a limited extent only. Furthermore, future power generation will be highly decentralized, occurring at the "edge" of the power grid, i.e. in the low voltage grid. Hence, the traditional paradignm of energy distribution has to be rehrased from "Supply follows demand" to "Demand follows supply".
 
|Inhalt=The course will give an overview of current and anticipated future approaches to the distribution and management of electrical energy with special emphasis on the challenges due to the increasing share of energy from renewable sources. The "Energiewende" will lead to a significant increase in fluctuating generation of electric power from wind and from solar panels which can be controlled to a limited extent only. Furthermore, future power generation will be highly decentralized, occurring at the "edge" of the power grid, i.e. in the low voltage grid. Hence, the traditional paradignm of energy distribution has to be rehrased from "Supply follows demand" to "Demand follows supply".
 
The course will address the consequences of these changes on management and control of the energy grid, considering also the role of mobile and stationary batteries and strategies for smart control of battery charging (and discharging). Furthermore, since tomorrow's energy system will depend crucially on information processing, concepts for an energy information grid with distributed system intelligence will be a major topic.
 
The course will address the consequences of these changes on management and control of the energy grid, considering also the role of mobile and stationary batteries and strategies for smart control of battery charging (and discharging). Furthermore, since tomorrow's energy system will depend crucially on information processing, concepts for an energy information grid with distributed system intelligence will be a major topic.
|Anmerkungen=Die Prüfung kann nur in den Studiengängen ENTECH M.Sc. sowie Energie M.Sc. und WiIng M.Sc. angerechnet werden.  
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|Anmerkungen=Die Prüfung kann nur in den Studiengängen ENTECH M.Sc. sowie Energie M.Sc. und WiIng M.Sc. angerechnet werden.
 
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Version vom 7. Juli 2015, 07:43 Uhr

Vorlesung Smart Energy Distribution

Details zur Lehrveranstaltung
Dozent(en) Hartmut Schmeck
Übungsleiter Huiwen Xu
Fach (Gebiet) Informatik
Leistungspunkte 4 ECTS
Erfolgskontrolle Schriftliche Prüfung
Semester WS & SS


Aktuelle und ergänzende Informationen, sowie Zeiten und Räume der Lehrveranstaltung finden Sie im Vorlesungsverzeichnis der Universität.
Link zum Vorlesungsverzeichnis
Link zum Studierendenportal


Forschungsgruppe


Inhalt

The course will give an overview of current and anticipated future approaches to the distribution and management of electrical energy with special emphasis on the challenges due to the increasing share of energy from renewable sources. The "Energiewende" will lead to a significant increase in fluctuating generation of electric power from wind and from solar panels which can be controlled to a limited extent only. Furthermore, future power generation will be highly decentralized, occurring at the "edge" of the power grid, i.e. in the low voltage grid. Hence, the traditional paradignm of energy distribution has to be rehrased from "Supply follows demand" to "Demand follows supply". The course will address the consequences of these changes on management and control of the energy grid, considering also the role of mobile and stationary batteries and strategies for smart control of battery charging (and discharging). Furthermore, since tomorrow's energy system will depend crucially on information processing, concepts for an energy information grid with distributed system intelligence will be a major topic.




Anmerkungen

Die Prüfung kann nur in den Studiengängen ENTECH M.Sc. sowie Energie M.Sc. und WiIng M.Sc. angerechnet werden.