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

Part of the Communications in Computer and Information Science book series (CCIS,volume 454)

Abstract

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.

Keywords

  • Energy efficiency in building
  • Building information model
  • Ontology engineering
  • Ontology population

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Acknowledgements

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.

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Correspondence to Polina Häfner .

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Wicaksono, H., Dobreva, P., Häfner, P., Rogalski, S. (2015). Methodology to Develop Ontological Building Information Model for Energy Management System in Building Operational Phase. In: Fred, A., Dietz, J., Liu, K., Filipe, J. (eds) Knowledge Discovery, Knowledge Engineering and Knowledge Management. IC3K 2013. Communications in Computer and Information Science, vol 454. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46549-3_11

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  • DOI: https://doi.org/10.1007/978-3-662-46549-3_11

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