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Energy-Efficient Indoor Spaces Through Building Automation

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Inter-cooperative Collective Intelligence: Techniques and Applications

Part of the book series: Studies in Computational Intelligence ((SCI,volume 495))

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Abstract

Building intelligence and, more recently, energy efficiency are key concepts to bear in mind when future smart spaces are considered. Common automation capabilities in the field of domotics only presented the first building blocks for the indoor spaces of the future. In this framework, energy consumption requires a special treatment, due to the strident environment preservation issues that the society is facing nowadays. For this reason, new solutions are needed to deal with the increasing power requirements of indoor spaces. In this line, an intelligent building platform which embraces not only well known automation necessities of indoor spaces, such as automatic lighting, security, remote access, etc., but also novel concepts in the fields of context-awareness, resident tracking and profiling, and net-zero/positive energy building are considered in a new proposal: the PLATERO platform. This chapter provides a detailed background on building automation/intelligence and energy efficiency and then details the novel architecture of PLATERO, its main elements and energy efficiency subsystems, and describes the different prototypes developed and deployed in a reference energy-efficiency building.

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Acknowledgments

This work has been sponsored by the European Seventh Framework Program, through the IoT6 project (contract 288445); the Seneca Foundation, by means of the GERM program (04552/GERM/06) and the FPI program (grant 15493/FPI/10); and the Spanish Ministry of Education and Science, thanks to the the FPU program (grant AP2009-3981).

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Authors and Affiliations

  1. Department of Information and Communications Engineering, Computer Science Faculty, University of Murcia, 30100, Murcia, Spain

    José Santa, Miguel A. Zamora-Izquierdo, María V. Moreno-Cano, Antonio J. Jara & Antonio F. Skarmeta

Authors
  1. José Santa
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  2. Miguel A. Zamora-Izquierdo
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  3. María V. Moreno-Cano
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  4. Antonio J. Jara
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  5. Antonio F. Skarmeta
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Corresponding author

Correspondence to José Santa .

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Editors and Affiliations

  1. Departament de Llenguatges I Sistemes Informàtics, Universitat Politècnica de Catalunya, Barcelona, Spain

    Fatos Xhafa

  2. School of Computer Science and Mathematics, University of Derby, Derby, United Kingdom

    Nik Bessis

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Santa, J., Zamora-Izquierdo, M.A., Moreno-Cano, M.V., Jara, A.J., Skarmeta, A.F. (2014). Energy-Efficient Indoor Spaces Through Building Automation. In: Xhafa, F., Bessis, N. (eds) Inter-cooperative Collective Intelligence: Techniques and Applications. Studies in Computational Intelligence, vol 495. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35016-0_14

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  • DOI: https://doi.org/10.1007/978-3-642-35016-0_14

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  • Print ISBN: 978-3-642-35015-3

  • Online ISBN: 978-3-642-35016-0

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