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Context-Aware Energy Efficiency in Smart Buildings

  • María Victoria Moreno Cano
  • José Santa
  • Miguel Angel Zamora
  • Antonio F. Skarmeta Gómez
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8276)

Abstract

When talking about energy efficiency at global scale, buildings are the cornerstone in terms of power consumption and CO2 emissions. New communication paradigms, such as Internet of Things, can improve the way sensors and actuators are accessed in smart buildings. Following this approach, we present an energy efficiency subsystem integrated with a building automation solution that makes the most of the energy consumed, considering user preferences, environmental conditions, and presence/identity of occupants. Through a three-stage approach based on behavior-centred mechanisms, the system is able to propose concrete settings on building devices to cope with energy and user comfort restrictions. The proposal has been implemented and deployed on a smart building. A set of tests validates the system when users are correctly located and identified at comfort service points, and first experimental stages already reflect energy saves in heating and cooling about 20%.

Keywords

Smart Buildings Energy Efficiency Context Awareness 

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References

  1. 1.
    Atzori, L., Iera, A., Morabito, G.: The internet of things: A survey. Computer Networks 54(15), 2787–2805 (2010)CrossRefGoogle Scholar
  2. 2.
    Stunder, M.J., Sebastian, P., Chube, B.A., Koontz, M.D.: Integration of real-time data into building automation systems (No. DOE/OR22674/611-30050-01). Air-Conditioning and Refrigeration Technology Institute, US (2003)Google Scholar
  3. 3.
    Han, D., Lim, J.: Design and implementation of smart home energy management systems based on ZigBee. IEEE Transactions on Consumer Electronics 56, 1417–1425 (2010)CrossRefGoogle Scholar
  4. 4.
    Oksa, P., Soini, M., Sydänheimo, L., Kivikoski, M.: Kilavi platform for wireless building automation. Energy and Buildings 40(9), 1721–1730 (2008)CrossRefGoogle Scholar
  5. 5.
    Morrissey, E., O’Donnell, J., Keane, M., Bazjanac, V.: Specification and implementation of IFC based performance metrics to support building life cycle assessment of hybrid energy systems (2004)Google Scholar
  6. 6.
    Escrivá-Escrivá, G., Álvarez-Bel, C., Peñalvo-López, E.: New indices to assess building energy efficiency at the use stage. Energy and Buildings 43(2), 476–484 (2011)CrossRefGoogle Scholar
  7. 7.
    Handbook, A. S. H. R. A. E.: Fundamentals. American Society of Heating, Refrigerating and Air Conditioning Engineers, Atlanta (2001)Google Scholar
  8. 8.
    Zamora-Izquierdo, M.A., Santa, J., Gómez-Skarmeta, A.F.: An Integral and Networked Home Automation Solution for Indoor Ambient Intelligence. IEEE Pervasive Computing 9, 66–77 (2010)CrossRefGoogle Scholar
  9. 9.
    Centre Europeen de Normalisation: Indoor Environmental Input Parameters for Design and Assesment of Energy Performance of Buildings - Addressing Indoor Air Quality, Thermal Environment, Lighting and Acoustics. EN 15251 (2006)Google Scholar
  10. 10.
    Berglund, L.: Mathematical models for predicting the thermal comfort response of building occupants. ASHRAE Transactions 84(1), 1848–1858 (1978)Google Scholar
  11. 11.
    Callaghan, V., et al.: Inhabited intelligent environments. BT Technology Journal 22(3), 233–247 (2004)CrossRefGoogle Scholar
  12. 12.
    Moreno-Cano, M.V., Zamora-Izquierdo, M.A., Santa, J., Skarmeta, A.F.: An indoor localization system based on artificial neural networks and particle filters applied to intelligent buildings. Neurocomputing (2013)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  • María Victoria Moreno Cano
    • 1
  • José Santa
    • 1
  • Miguel Angel Zamora
    • 1
  • Antonio F. Skarmeta Gómez
    • 1
  1. 1.Department of Information and Communications EgineeringUniversity of MurciaMurciaSpain

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