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|DOI Name=10.1007/978-3-319-16549-3_20
|DOI Name=10.1007/978-3-319-16549-3_20
|Forschungsgruppe=Effiziente Algorithmen
|Forschungsgruppe=Effiziente Algorithmen
{{Forschungsgebiet Auswahl

Version vom 5. Juni 2015, 14:31 Uhr

Evolutionary Optimization of Smart Buildings with Interdependent Devices

Veröffentlicht: 2015
Herausgeber: Mora, Antonio M. and Squillero, Giovanni
Buchtitel: Applications of Evolutionary Computation
Seiten: 239-251
Reihe: Lecture Notes in Computer Science
Verlag: Springer International Publishing

To enable a more efficient utilization of energy carriers, energy management systems (EMS) are designed to optimize the usage of energy in future smart buildings. In this paper, we present an EMS for buildings that uses a novel approach towards optimization of energy flows. The system is capable of handling interdependencies between multiple devices consuming energy, while keeping a modular approach towards components of the EMS and their optimization. Evaluations of the EMS in a realistic scenario, which consists of a building with adsorption chiller, hot and cold water storage tanks as well as combined heat and power plant, show the ability to reduce energy consumption and costs by an improved scheduling of the generation of hot and chilled water for cooling purposes.

ISBN: 978-3-319-16548-6
Weitere Informationen unter: Link
DOI Link: 10.1007/978-3-319-16549-3_20

Verknüpfte Tools

Energy Smart Home Lab, Organic Smart Home


Effiziente Algorithmen


Evolutionäre Algorithmen, Energieinformatik