An Energy Management Service for the Smart Office

Cristina Rottondi, Markus Duchon, Dagmar Koss, Andrei Palamarciuc, Alessandro Pití, Giacomo Verticale and Bernhard Schätz
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Cristina Rottondi: Department of Electronics, Information and Bioengineering, Polytechnic University of Milan, P.zza L. da Vinci, 32, Milan 20133, Italy
Markus Duchon: Fortiss GmbH, Guerickestrasse 25, 80805 Munich, Germany
Dagmar Koss: Fortiss GmbH, Guerickestrasse 25, 80805 Munich, Germany
Andrei Palamarciuc: Department of Electronics, Information and Bioengineering, Polytechnic University of Milan, P.zza L. da Vinci, 32, Milan 20133, Italy
Alessandro Pití: Department of Electronics, Information and Bioengineering, Polytechnic University of Milan, P.zza L. da Vinci, 32, Milan 20133, Italy
Giacomo Verticale: Department of Electronics, Information and Bioengineering, Polytechnic University of Milan, P.zza L. da Vinci, 32, Milan 20133, Italy
Bernhard Schätz: Fortiss GmbH, Guerickestrasse 25, 80805 Munich, Germany

Energies, 2015, vol. 8, issue 10, 1-18

Abstract: The evolution of the electricity grid towards the smart grid paradigm is fostering the integration of distributed renewable energy sources in smart buildings: a combination of local power generation, battery storage and controllable loads can greatly increase the energetic self-sufficiency of a smart building, enabling it to maximize the self-consumption of photovoltaic electricity and to participate in the energy market, thus taking advantage of time-variable tariffs to achieve economic savings. This paper proposes an energy management infrastructure specifically tailored for a smart office building, which relies on measured data and on forecasting algorithms to predict the future patterns of both local energy generation and power loads. The performance is compared to the optimal energy usage scheduling, which would be obtained assuming the exact knowledge of the future energy production and consumption trends, showing gaps below 10% with respect to the optimum.

Keywords: smart office building; load scheduling; photovoltaic generation; battery storage (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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