Open AccessOnline Energy Simulator for building fault detection and diagnostics using dynamic energy performance model
Author(s) -
Claudio Giovanni Mattera,
Muhyiddine Jradi,
Hamid Reza Shaker
Publication year - 2018
Publication title -
the international journal of low carbon technologies
Language(s) - English
Resource type - Journals
eISSN - 1748-1325
pISSN - 1748-1317
DOI - 10.1093/ijlct/cty019
Subject(s) - usable , occupancy , computer science , energy (signal processing) , simulation , set (abstract data type) , energy performance , scope (computer science) , fault detection and isolation , real time computing , dynamic simulation , efficient energy use , reliability engineering , engineering , artificial intelligence , architectural engineering , statistics , mathematics , electrical engineering , world wide web , actuator , programming language
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.