LBNL Fault Detection and Diagnostics Datasets

Dataset · Mon Aug 01 00:00:00 EDT 2022

DOI:https://doi.org/10.25984/1881324· OSTI ID:1881324

Granderson, Jessica; Lin, Guanjing ; Chen, Yimin; Casillas, Armando; Im, Piljae; Jung, Sungkyun; Benne, Kyle; Ling, Jiazhen; Gorthala, Ravi; Wen, Jin; Chen, Zhelun; Huang, Sen; Vrabie, Draguna

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.

• Research Organization: DOE Open Energy Data Initiative (OEDI); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
• Sponsoring Organization: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Multiple Programs (EE)
• Contributing Organization: Lawrence Berkeley National Laboratory
• DOE Contract Number: FY22 AOP 3.2.6.1.
• OSTI ID: 1881324
• Report Number(s): 5763
• Availability: [e-mail]
• Country of Publication: United States
• Language: English

Related Subjects

Array
Commercial Buildings
Fault Detection and Diagnostics
HVAC
Brick Schema
Algorithm testing
Performance evaluation
AHU
RTU
Fan coil
VAV box
Chiller plant
Boiler plant
AC
fault detection
diagnostics
detection
benchmark
building
building energy
building energy efficiency
energy efficiency
building efficiency
air handler unit
heating
cooling
heating and cooling