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Energies 2015, 8(10), 11667-11684; doi:10.3390/en81011667

An Energy Management Service for the Smart Office

1
Department of Electronics, Information and Bioengineering, Polytechnic University of Milan, P.zza L. da Vinci, 32, Milan 20133, Italy
2
Fortiss GmbH, Guerickestrasse 25, 80805 Munich, Germany
*
Author to whom correspondence should be addressed.
Academic Editor: Thorsten Staake
Received: 28 July 2015 / Accepted: 14 October 2015 / Published: 16 October 2015
(This article belongs to the Collection Smart Grid)
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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. View Full-Text
Keywords: smart office building; load scheduling; photovoltaic generation; battery storage smart office building; load scheduling; photovoltaic generation; battery storage
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Rottondi, C.; Duchon, M.; Koss, D.; Palamarciuc, A.; Pití, A.; Verticale, G.; Schätz, B. An Energy Management Service for the Smart Office. Energies 2015, 8, 11667-11684.

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