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

Claudio Giovanni Mattera, Muhyiddine Jradi and Hamid Reza Shaker

International Journal of Low-Carbon Technologies, 2018, vol. 13, issue 3, 231-239

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.

Keywords: fault detection and diagnosis; building simulation; smart buildings (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:oup:ijlctc:v:13:y:2018:i:3:p:231-239.

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