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Sensors 2017, 17(9), 2054; https://doi.org/10.3390/s17092054

Providing Personalized Energy Management and Awareness Services for Energy Efficiency in Smart Buildings

1
Ubitech Ltd. Research and Development Department, Athens 15231, Greece
2
Departamento de Ingeniería de la Información y las Comunicaciones, Facultad de Informática, Universidad de Murcia, Murcia 30003, Spain
3
Semantic Technology Institute (STI) Innsbruck, University of Innsbruck, Innsbruck 6020, Austria
*
Author to whom correspondence should be addressed.
Received: 19 July 2017 / Revised: 31 August 2017 / Accepted: 5 September 2017 / Published: 7 September 2017
(This article belongs to the Special Issue Advances in Sensors for Sustainable Smart Cities and Smart Buildings)
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Abstract

Considering that the largest part of end-use energy consumption worldwide is associated with the buildings sector, there is an inherent need for the conceptualization, specification, implementation, and instantiation of novel solutions in smart buildings, able to achieve significant reductions in energy consumption through the adoption of energy efficient techniques and the active engagement of the occupants. Towards the design of such solutions, the identification of the main energy consuming factors, trends, and patterns, along with the appropriate modeling and understanding of the occupants’ behavior and the potential for the adoption of environmentally-friendly lifestyle changes have to be realized. In the current article, an innovative energy-aware information technology (IT) ecosystem is presented, aiming to support the design and development of novel personalized energy management and awareness services that can lead to occupants’ behavioral change towards actions that can have a positive impact on energy efficiency. Novel information and communication technologies (ICT) are exploited towards this direction, related mainly to the evolution of the Internet of Things (IoT), data modeling, management and fusion, big data analytics, and personalized recommendation mechanisms. The combination of such technologies has resulted in an open and extensible architectural approach able to exploit in a homogeneous, efficient and scalable way the vast amount of energy, environmental, and behavioral data collected in energy efficiency campaigns and lead to the design of energy management and awareness services targeted to the occupants’ lifestyles. The overall layered architectural approach is detailed, including design and instantiation aspects based on the selection of set of available technologies and tools. Initial results from the usage of the proposed energy aware IT ecosystem in a pilot site at the University of Murcia are presented along with a set of identified open issues for future research. View Full-Text
Keywords: energy efficiency; behavioral change; personalized recommendations; energy analytics; behavioral analytics; big data analytics; Internet of Things (IoT); Drools; rules management system; semantic reasoning energy efficiency; behavioral change; personalized recommendations; energy analytics; behavioral analytics; big data analytics; Internet of Things (IoT); Drools; rules management system; semantic reasoning
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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).

Supplementary materials

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  • Externally hosted supplementary file 1
    Link: http://entropy-project.eu/
    Description: Videos regarding introduction and usage workflow of the ENTROPY ecosystem.
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Fotopoulou, E.; Zafeiropoulos, A.; Terroso-Sáenz, F.; Şimşek, U.; González-Vidal, A.; Tsiolis, G.; Gouvas, P.; Liapis, P.; Fensel, A.; Skarmeta, A. Providing Personalized Energy Management and Awareness Services for Energy Efficiency in Smart Buildings. Sensors 2017, 17, 2054.

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