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

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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.

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Mattera, C. G., Jradi, M., & Shaker, H. R. (2018). Online Energy Simulator for building fault detection and diagnostics using dynamic energy performance model. International Journal of Low-Carbon Technologies, 13(3), 231–239. https://doi.org/10.1093/IJLCT/CTY019

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