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SEMERGY.net: automatically identifying and optimizing energy-efficient building designs

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  • Special Issue Paper
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Computer Science - Research and Development

Abstract

A central goal of European and national climate and energy programs is to reduce the greenhouse gas emission of buildings. SEMERGY is a web-based optimization environment, which supports users in decision-making regarding energy-efficient building designs. Taking the user-specified criteria investment costs, final energy demand of the building, and environmental impact of used building products into account, the system identifies efficient building designs and retrofit options. The following steps were taken: (i) development of a comprehensive building data model, (ii) creation of an ontology of linked building product data, (iii) development of a rule-based system to automatically identify valid construction alternatives for building components, (iv) development of a multi-objective optimization procedure, and (v) creation of a web-based Graphical User Interface to enable data entry and user interaction. The present contribution provides an overview of the progress made in the above mentioned domains.

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References

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Acknowledgments

The SEMERGY project is funded under the FFG Research Studio Austrian Program (grant No. 832012) by the Austrian Federal Ministry of Economy, Family and Youth (BMWFJ). In addition to the authors, the SEMERGY team includes A. Anjomshoaa, K. Hammerberg, I. Merz, C. Sustr, F. Shayeganfar, M. Taheri, D. Wolosiuk and A. Wurm.

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Authors and Affiliations

  1. Institute of Software Technology and Interactive Systems, Vienna University of Technology, Vienna, Austria

    Stefan Fenz, Johannes Heurix, Thomas Neubauer & A. Min Tjoa

  2. Department of Building Physics and Building Ecology, Vienna University of Technology, Vienna, Austria

    Neda Ghiassi, Ulrich Pont & Ardeshir Mahdavi

Authors
  1. Stefan Fenz
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  2. Johannes Heurix
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  3. Thomas Neubauer
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  4. A. Min Tjoa
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  5. Neda Ghiassi
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  6. Ulrich Pont
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  7. Ardeshir Mahdavi
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Corresponding author

Correspondence to Stefan Fenz.

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Fenz, S., Heurix, J., Neubauer, T. et al. SEMERGY.net: automatically identifying and optimizing energy-efficient building designs. Comput Sci Res Dev 31, 135–140 (2016). https://doi.org/10.1007/s00450-014-0285-5

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  • DOI: https://doi.org/10.1007/s00450-014-0285-5

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