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Online Energy Simulator for building fault detection and diagnostics using dynamic energy performance model

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  • Claudio Giovanni Mattera
  • Muhyiddine Jradi
  • Hamid Reza Shaker

Abstract

Faults in buildings systems affect energy efficiency and occupancy comfort. Simulating building behavior and comparing it with measured data allows to detect discrepancies due to faults. We propose a methodology to recursively compare actual data with dynamic energy simulations at different layers of aggregation to reduce the scope in searching for faults through the development the Online Energy Simulator, a tool to set up automated simulations using standard interfaces usable with different building systems and simulation engines. We test our simulator on a real building at the University of Southern Denmark, showing how continuous monitoring allows to quickly detect and identify buildings faults.

Suggested Citation

  • Claudio Giovanni Mattera & Muhyiddine Jradi & Hamid Reza Shaker, 2018. "Online Energy Simulator for building fault detection and diagnostics using dynamic energy performance model," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 13(3), pages 231-239.
    • Handle: RePEc:oup:ijlctc:v:13:y:2018:i:3:p:231-239.
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    File URL: http://hdl.handle.net/10.1093/ijlct/cty019
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    References listed on IDEAS

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    1. Costa, Andrea & Keane, Marcus M. & Torrens, J. Ignacio & Corry, Edward, 2013. "Building operation and energy performance: Monitoring, analysis and optimisation toolkit," Applied Energy, Elsevier, vol. 101(C), pages 310-316.
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    Cited by:

    1. Michael Parzinger & Lucia Hanfstaengl & Ferdinand Sigg & Uli Spindler & Ulrich Wellisch & Markus Wirnsberger, 2020. "Residual Analysis of Predictive Modelling Data for Automated Fault Detection in Building’s Heating, Ventilation and Air Conditioning Systems," Sustainability, MDPI, vol. 12(17), pages 1-18, August.
    2. Claudio Giovanni Mattera & Hamid Reza Shaker & Muhyiddine Jradi, 2019. "Consensus-Based Method for Anomaly Detection in VAV Units," Energies, MDPI, vol. 12(3), pages 1-17, February.

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