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DOE OSTI · 1881324

LBNL Fault Detection and Diagnostics Datasets

Granderson, Jessica·Lin, Guanjing (ORCID:0000000177688358)·Chen, Yimin·Casillas, Armando·Im, Piljae·Jung, Sungkyun·Benne, Kyle·Ling, Jiazhen·Gorthala, Ravi·Wen, Jin·Chen, Zhelun·Huang, Sen·Vrabie, Draguna
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Abstract

These datasets can be used to evaluate and benchmark the performance accuracy of Fault Detection and Diagnostics (FDD) algorithms or tools. It contains operational data from simulation, laboratory experiments, and field measurements from real buildings for seven HVAC systems/equipment (rooftop unit, single-duct air handler unit, dual-duct air handler unit, variable air volume box, fan coil unit, chiller plant, and boiler plant). Each dataset includes a .pdf file to document key information necessary to understand the content and scope, multiple csv files containing all the time-series data for faults at different severity levels and one fault-free case, and a ttl file to visualize the data according to BRICK schema. The dataset was created by LBNL, PNNL, NREL, ORNL and Drexel University.

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ACAHUair handler unitAlgorithm testingArraybenchmarkBoiler plantBrick Schemabuildingbuilding efficiencybuilding energybuilding energy efficiencyChiller plantCommercial Buildingscoolingdetectiondiagnosticsenergy efficiencyFan coilfault detectionFault Detection and Diagnosticsheatingheating and coolingHVACPerformance evaluationRTUVAV box

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Granderson, Jessica, Lin, Guanjing (ORCID:0000000177688358), Chen, Yimin, Casillas, Armando, Im, Piljae, Jung, Sungkyun, Benne, Kyle, Ling, Jiazhen, Gorthala, Ravi, Wen, Jin, Chen, Zhelun, Huang, Sen, Vrabie, Draguna. 2022-08-01. LBNL Fault Detection and Diagnostics Datasets. https://doi.org/10.25984/1881324

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