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

Claudio Giovanni Mattera, Muhyiddine Jradi, Hamid Reza Shaker

Research output: Contribution to journalJournal articleResearchpeer-review

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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.
Original languageEnglish
JournalInternational Journal of Low-Carbon Technologies
Volume13
Issue number3
Pages (from-to)231-239
ISSN1748-1317
DOIs
Publication statusPublished - 17. May 2018

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Fault detection
simulator
Simulators
energy
simulation
energy efficiency
Energy efficiency
engine
Agglomeration
Engines
methodology
detection
Monitoring
monitoring

Cite this

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title = "Online energy simulator for building fault detection and diagnostics using dynamic energy performance model",
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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Online energy simulator for building fault detection and diagnostics using dynamic energy performance model. / Mattera, Claudio Giovanni ; Jradi, Muhyiddine; Shaker, Hamid Reza.

In: International Journal of Low-Carbon Technologies, Vol. 13, No. 3, 17.05.2018, p. 231-239.

Research output: Contribution to journalJournal articleResearchpeer-review

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N2 - 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.

AB - 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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