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Data Sets for Evaluation of Building Fault Detection and Diagnostics Algorithms
This documentation and dataset can be used to test the performance of automated fault detection and diagnostics algorithms for buildings. The dataset was created by LBNL, PNNL, NREL, ORNL and ASHRAE RP-1312 (Drexel University). It includes data for air-handling units and rooftop u...
Lin, G. and Mitchell, R. Lawrence Berkeley National Laboratory
Feb 26, 2019
2 Resources
0 Stars
Publicly accessible
2 Resources
0 Stars
Publicly accessible
Long-term data on 3 office Air Handling Units
Includes data on indoor/outdoor environmental conditions, supply/make up air conditions, and VAV box operations, at 1 minutes time resolution from 2014-2015. Raw data in the ZIP file are in CSV format.
Langevin, J. Lawrence Berkeley National Laboratory
Jul 21, 2015
1 Resources
0 Stars
In curation
1 Resources
0 Stars
In curation
LBNL Fault Detection and Diagnostics Datasets
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/equip...
Granderson, J. et al Lawrence Berkeley National Laboratory
Aug 01, 2022
5 Resources
0 Stars
Publicly accessible
5 Resources
0 Stars
Publicly accessible
Mechanical Ventilation and Indoor Air Quality in Recently Constructed U.S. Homes in Marine and Cold-Dry Climates Data from Building America Project
Data were collected to characterize whole-house mechanical ventilation (WHMV) and indoor air quality (IAQ) in 55 homes in the Marine climate of Oregon and Cold-Dry climate of Colorado in the U.S. Sixteen homes were monitored for two weeks, with and without WHMV operating. Ventilat...
Zhao, H. et al Lawrence Berkeley National Laboratory
Mar 22, 2023
2 Resources
0 Stars
Publicly accessible
2 Resources
0 Stars
Publicly accessible
One year occupant behavior/environment data for medium U.S. office
One year of longitudinal data (fifteen minute interval) on local thermal conditions, related behaviors, and comfort of twenty-four occupants of a medium-sized office building in Philadelphia, PA.
Please cite:
Langevin, J., Gurian, P.L., and Wen, J. (2015). Tracking the human...
Langevin, J. Lawrence Berkeley National Laboratory
Jul 20, 2015
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
WISE-CASING: Time Domain Reflectometry Data from Lab Experiment on Steel Pipe
The steel pipe experiment conducted in the lab was using 6 meter low-carbon steel pipe. We tested it with both dry and in-water condition. In the dry experimental setup, a coaxial cable acting as a return path in the air.
Wang, J. and Wu, Y. Lawrence Berkeley National Laboratory
Jul 23, 2019
9 Resources
0 Stars
Publicly accessible
9 Resources
0 Stars
Publicly accessible
EGS Collab Experiment 2: Distributed Fiber Optic Temperature Data (DTS)
Distributed fiber optic sensing was an important part of the monitoring system for EGS Collab Experiment #2. A single loop of custom fiber package was grouted into the four monitoring boreholes that bracketed the experiment volume. This fiber package contained two multi-mode fiber...
Rodriguez Tribaldos, V. et al Lawrence Berkeley National Laboratory
Nov 08, 2022
10 Resources
0 Stars
Publicly accessible
10 Resources
0 Stars
Publicly accessible