Curated Modeled Fault Data Set
The curated fault model simulation data set consists of tagged and fully-described time series representing simulated faults for the AFDD test building (ORNLs Flexible Research Platform (FRP)), including baseline performance, faulty performance, and corresponding energy impact. A total of 26 fault models are considered for 99 simulation scenarios with various fault intensity levels.
Additional Contacts:
Principal investigator: Matt Leach Matt.Leach@nrel.gov
Simulation performer: Janghyun Kim Janghyun.Kim@nrel.gov
Citation Formats
National Renewable Energy Laboratory. (2019). Curated Modeled Fault Data Set [data set]. Retrieved from https://dx.doi.org/10.25984/1862681.
Kim, Janghyun, Leach, Matt. Curated Modeled Fault Data Set. United States: N.p., 24 Jun, 2019. Web. doi: 10.25984/1862681.
Kim, Janghyun, Leach, Matt. Curated Modeled Fault Data Set. United States. https://dx.doi.org/10.25984/1862681
Kim, Janghyun, Leach, Matt. 2019. "Curated Modeled Fault Data Set". United States. https://dx.doi.org/10.25984/1862681. https://data.openei.org/submissions/908.
@div{oedi_908, title = {Curated Modeled Fault Data Set}, author = {Kim, Janghyun, Leach, Matt.}, abstractNote = {The curated fault model simulation data set consists of tagged and fully-described time series representing simulated faults for the AFDD test building (ORNLs Flexible Research Platform (FRP)), including baseline performance, faulty performance, and corresponding energy impact. A total of 26 fault models are considered for 99 simulation scenarios with various fault intensity levels.
Additional Contacts:
Principal investigator: Matt Leach Matt.Leach@nrel.gov
Simulation performer: Janghyun Kim Janghyun.Kim@nrel.gov}, doi = {10.25984/1862681}, url = {https://data.openei.org/submissions/908}, journal = {}, number = , volume = , place = {United States}, year = {2019}, month = {06}}
https://dx.doi.org/10.25984/1862681
Details
Data from Jun 24, 2019
Last updated Jun 18, 2024
Submitted Jun 24, 2019
Organization
National Renewable Energy Laboratory
Contact
Janghyun Kim
Authors
Research Areas
Keywords
AFDD, building, commercial, fault, simulation, model, building energy, building energy efficiency, energy efficiency, buildings, EnergyPlusDOE Project Details
Project Name An Open, Cloud-Based Platform for Whole-Building Fault Detection and Diagnostics
Project Number FY16 AOP 3.2.6.18
