Methodology to Develop Ontological Building Information Model for Energy Management System in Building Operational Phase

  • Hendro Wicaksono
  • Preslava Dobreva
  • Polina Häfner
  • Sven Rogalski
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 454)


Energy consumption in building sector has been taking a significant percentage of the total energy consumption on earth. This is due to the development of more advanced and sophisticated building appliances to fulfil the comfort requirements. The EU has responded this trend by requiring zero CO2 emission in building by 2020 and by supporting innovative research approaches for improving energy efficiency in buildings with still considering inhabitants comfort. This chapter describes an approach to develop an intelligent system for building specific energy management that allows occupants and facility managers to monitor and control the energy consumption and also detects the energy wasting points. In this chapter, we explain the methodology to develop ontology based information model for building energy management offering expressive representation and reasoning capabilities. We also highlight an approach to develop the ontology as the knowledge base providing the intelligence of the system. Furthermore we show the improvement of the energy performance analysis with the help of ontology based approach.


Energy efficiency in building Building information model Ontology engineering Ontology population 



Research activities presented in this paper have been partially funded by the German Ministry of Education and Research (BMBF) through the research project KEHL within the program KMU-Innovativ and the European Commission trough the FP7 research project KnoHolEM.


  1. 1.
    Balaras, C.A., Gaglia, A.G., Georgopoulou, E., Mirasgedis, S., Sarafidis, Y., Lalas, D.P.: European residential buildings and empirical assessment of the Hellenic building stock, energy consumption emissions and potenctal energy savings. Build. Environ. 42(3), 1298–1314 (2007)CrossRefGoogle Scholar
  2. 2.
    Smithson, D.: Financing a route to reducing energy costs. February 07, 2013.
  3. 3.
    Lonmark, Energieeffizienz durch LON. March 14, 2008.
  4. 4.
    Spelsberg, J.: Chancen mit dem Gebäudeenergiepass. Energie sparen durch Gebäudeautomation. Technik am Bau 37, 74–77 (2006)Google Scholar
  5. 5.
    Watteco, WPC Product Description (2009)Google Scholar
  6. 6.
    Neenan, B., Robinson, B., Boisvert, R.N.: Residential Electricity Use Feedback: A research Synthesis and Economic Framework. EPRI, Palo Alto (2009)Google Scholar
  7. 7.
    Reinisch, C., Granzer, W., Praus, F., Kastner, W.: Integration of heterogeneous building automation systems using ontologies. In: Proceedings of 34th Annual Conference of the IEEE Industrial Electronics Society (IECON 2008), pp. 2736–2741 (2008)Google Scholar
  8. 8.
    Scherer, R.J., Katranuschkov, P., Kadolsky, M., Laine, T.: Ontology-based building information model for integrated lifecycle energy management, EEbuilding data models – energy efficiency vocabularies and ontologies. In: Proceedings of the European Conference of Product and Process Modelling (ECPPM) 2012, Reykjavik, Iceland, 25–27 July 2012, pp. 30–41 (2012)Google Scholar
  9. 9.
    Guruz, R., Katranuschkov, P., Schrerer, R.J., Kaiser, J., Grunewald, J., Hensel, B., Kabitzsch, K., Liebich, T.: Ontological specification for the model integration in ICT building energy systems, EEBuilding data models – energy efficiency vocabularies and ontologies. In: Proceedings of the European Conference of Product and Process Modelling (ECPPM) 2012, Reykjavik, Iceland, 25th–27th July 2012, pp. 6–29 (2012)Google Scholar
  10. 10.
    Wicaksono, H., Rogalski, S., Kusnady, E.: Knowledge-based intelligent energy management using building automation system. In: IPEC 2010 Conference Proceedings, pp. 1140–1145 (2010)Google Scholar
  11. 11.
    Wicaksono, H., Aleksandrov, K., Rogalski, S., An intelligent system for improving energy efficiency in building using ontology and building automation systems. In: Kongoli, F. (ed.), Automation, pp. 531–548. InTech, Open Access Publisher (2012)Google Scholar
  12. 12.
    Smith, M., Welly, C., McGuinness, D.: OWL web ontology language guide. In: W3C Recommendation, February 2004Google Scholar
  13. 13.
    Krahtov, K., Rogalski, S., Wacker, D., Gutu, D., Ovtcharova, J.: A generic framework for life-cycle-management of heterogenic building automation systems. In: 19th International Conferemce (FAIM 2009) Proceedings to Flexible Automation and Intteligent Manufacturing (2009)Google Scholar
  14. 14.
    Donath, D.: Bauaufnahme und Planung im Bestand, pp. 35–36. Vieweg + Teubner Verlag, Wiesbaden (2008)Google Scholar
  15. 15.
    Vanlande, R., Nicolle, C., Cruz, C.: IFC and building lifecycle management. Autom. Constr. 18(1), 70–78 (2008)CrossRefGoogle Scholar
  16. 16.
    Kantardzic, M.: Data Mining: Concepts, Methods, and Algorithms. John Wiley, Models (2003)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  • Hendro Wicaksono
    • 1
  • Preslava Dobreva
    • 1
  • Polina Häfner
    • 1
  • Sven Rogalski
    • 1
  1. 1.Institute for Information Management in EngineeringKarlsruhe Institute of TechnologyKarlsruheGermany

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