NREL RSF Measured Data 2011
Modern buildings are complex energy systems that must be controlled for energy efficiency. The Research Support Facility (RSF) at the National Renewable Energy Laboratory (NREL) has hundreds of controllers -- computers that communicate with the building's various control systems -- to control the building based on tens of thousands of variables and sensor points. These control strategies were designed for the RSF's systems to efficiently support research activities. Many events that affect energy use cannot be reliably predicted, but certain decisions (such as control strategies) must be made ahead of time. NREL researchers modeled the RSF systems to predict how they might perform. They then monitor these systems to understand how they are actually performing and reacting to the dynamic conditions of weather, occupancy, and maintenance.
This submission includes the Measured Energy Data from the RSF Systems Model. The data includes a csv with measured data from NREL's Research and Support Facility (RSF) for 2011. The dataset contains hourly data for: Total Cooling (kW)- Total Heating (kW)- Total Mechanical (kW)- Total Lighting (kW)- Total Plug Loads (kW)- Total Data Center (kW)- Total Building (kW)- PV (kW)- Building Net (kW).
Energy Model data and Weather data related to the RSF Systems Model can be found in the "Related Datasets" section of this submission.
Citation Formats
National Renewable Energy Laboratory. (2014). NREL RSF Measured Data 2011 [data set]. Retrieved from https://dx.doi.org/10.25984/1845288.
Sheppy, Michael, Beach, Aaron, and Pless, Shanti. NREL RSF Measured Data 2011. United States: N.p., 25 Nov, 2014. Web. doi: 10.25984/1845288.
Sheppy, Michael, Beach, Aaron, & Pless, Shanti. NREL RSF Measured Data 2011. United States. https://dx.doi.org/10.25984/1845288
Sheppy, Michael, Beach, Aaron, and Pless, Shanti. 2014. "NREL RSF Measured Data 2011". United States. https://dx.doi.org/10.25984/1845288. https://data.openei.org/submissions/358.
@div{oedi_358, title = {NREL RSF Measured Data 2011}, author = {Sheppy, Michael, Beach, Aaron, and Pless, Shanti.}, abstractNote = {Modern buildings are complex energy systems that must be controlled for energy efficiency. The Research Support Facility (RSF) at the National Renewable Energy Laboratory (NREL) has hundreds of controllers -- computers that communicate with the building's various control systems -- to control the building based on tens of thousands of variables and sensor points. These control strategies were designed for the RSF's systems to efficiently support research activities. Many events that affect energy use cannot be reliably predicted, but certain decisions (such as control strategies) must be made ahead of time. NREL researchers modeled the RSF systems to predict how they might perform. They then monitor these systems to understand how they are actually performing and reacting to the dynamic conditions of weather, occupancy, and maintenance.
This submission includes the Measured Energy Data from the RSF Systems Model. The data includes a csv with measured data from NREL's Research and Support Facility (RSF) for 2011. The dataset contains hourly data for: Total Cooling (kW)- Total Heating (kW)- Total Mechanical (kW)- Total Lighting (kW)- Total Plug Loads (kW)- Total Data Center (kW)- Total Building (kW)- PV (kW)- Building Net (kW).
Energy Model data and Weather data related to the RSF Systems Model can be found in the "Related Datasets" section of this submission.}, doi = {10.25984/1845288}, url = {https://data.openei.org/submissions/358}, journal = {}, number = , volume = , place = {United States}, year = {2014}, month = {11}}
https://dx.doi.org/10.25984/1845288
Details
Data from Nov 25, 2014
Last updated Feb 16, 2022
Submitted Nov 25, 2014
Organization
National Renewable Energy Laboratory
Contact
Michael Sheppy
Authors
Research Areas
Keywords
2011, NREL, RSF, measured data, consumption, mathematics and computing research, Research Support Facility, electricity, usage, resources, building, buildings, building energy, energy efficiency, building energy efficiency, Golden, Colorado, control strategy, energy analysis, dat, energy conservationDOE Project Details
Project Name Maintain full availability of existing science and support infrastructure
Project Number 28308