TY - DATA AB - 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. AU - Granderson, Jessica AU - Lin, Guanjing AU - Chen, Yimin AU - Casillas, Armando AU - Im, Piljae AU - Jung, Sungkyun AU - Benne, Kyle AU - Ling, Jiazhen AU - Gorthala, Ravi AU - Wen, Jin AU - Chen, Zhelun AU - Huang, Sen AU - Vrabie, Draguna DB - Open Energy Data Initiative (OEDI) DP - Open EI | National Renewable Energy Laboratory DO - 10.25984/1881324 KW - Commercial Buildings KW - Fault Detection and Diagnostics KW - HVAC KW - Brick Schema KW - Algorithm testing KW - Performance evaluation KW - AHU KW - RTU KW - Fan coil KW - VAV box KW - Chiller plant KW - Boiler plant KW - AC KW - fault detection KW - diagnostics KW - detection KW - benchmark KW - building KW - building energy KW - building energy efficiency KW - energy efficiency KW - building efficiency KW - air handler unit KW - heating KW - cooling KW - heating and cooling LA - English DA - 2022/08/01 PY - 2022 PB - Lawrence Berkeley National Laboratory T1 - LBNL Fault Detection and Diagnostics Datasets UR - https://doi.org/10.25984/1881324 ER -