Journal Article

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

Claudio Giovanni Mattera, Muhyiddine Jradi and Hamid Reza Shaker

in International Journal of Low-Carbon Technologies

Volume 13, issue 3, pages 231-239
ISSN: 1748-1317
Published online May 2018 | e-ISSN: 1748-1325 | DOI: https://dx.doi.org/10.1093/ijlct/cty019
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.

Keywords: fault detection and diagnosis; building simulation; smart buildings

Journal Article.  5770 words.  Illustrated.

Subjects: Energy Technology ; Environmental Sustainability

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