NREL RSF Energy Model 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 Energy Model from the RSF Systems Model. Comparing actual performance (metered) with expected performance (modeled) is key to understand corrective actions to ensure performance as originally intended. The Energy Model in this submission was made to model energy usage in the RSF and was compared to actual metered data to verify the model.
Measured data and Weather data related to the RSF Systems Model can be found in the "Related Datasets" section of this submission.
Citation Formats
TY - DATA
AB - 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 Energy Model from the RSF Systems Model. Comparing actual performance (metered) with expected performance (modeled) is key to understand corrective actions to ensure performance as originally intended. The Energy Model in this submission was made to model energy usage in the RSF and was compared to actual metered data to verify the model.
Measured data and Weather data related to the RSF Systems Model can be found in the "Related Datasets" section of this submission.
AU - Sheppy, Michael
A2 - Beach, Aaron
A3 - Pless, Shanti
DB - Open Energy Data Initiative (OEDI)
DP - Open EI | National Renewable Energy Laboratory
DO - 10.25984/1845290
KW - 2011
KW - NREL
KW - RSF
KW - energy
KW - model
KW - energy conservation
KW - consumption
KW - utilization
KW - mathematics and computing research
KW - Research Support Facility
KW - Golden
KW - Colorado
KW - building energy
KW - energy efficiency
KW - building energy efficiency
KW - energy modeling
KW - electricity
KW - energy analysis
KW - building systems
KW - building
KW - buildings
KW - resoureces
KW - data
LA - English
DA - 2014/11/25
PY - 2014
PB - National Renewable Energy Laboratory
T1 - NREL RSF Energy Model 2011
UR - https://doi.org/10.25984/1845290
ER -
Sheppy, Michael, et al. NREL RSF Energy Model 2011. National Renewable Energy Laboratory, 25 November, 2014, Open Energy Data Initiative (OEDI). https://doi.org/10.25984/1845290.
Sheppy, M., Beach, A., & Pless, S. (2014). NREL RSF Energy Model 2011. [Data set]. Open Energy Data Initiative (OEDI). National Renewable Energy Laboratory. https://doi.org/10.25984/1845290
Sheppy, Michael, Aaron Beach, and Shanti Pless. NREL RSF Energy Model 2011. National Renewable Energy Laboratory, November, 25, 2014. Distributed by Open Energy Data Initiative (OEDI). https://doi.org/10.25984/1845290
@misc{OEDI_Dataset_357,
title = {NREL RSF Energy Model 2011},
author = {Sheppy, Michael and 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 Energy Model from the RSF Systems Model. Comparing actual performance (metered) with expected performance (modeled) is key to understand corrective actions to ensure performance as originally intended. The Energy Model in this submission was made to model energy usage in the RSF and was compared to actual metered data to verify the model.
Measured data and Weather data related to the RSF Systems Model can be found in the "Related Datasets" section of this submission.},
url = {https://data.openei.org/submissions/357},
year = {2014},
howpublished = {Open Energy Data Initiative (OEDI), National Renewable Energy Laboratory, https://doi.org/10.25984/1845290},
note = {Accessed: 2025-04-23},
doi = {10.25984/1845290}
}
https://dx.doi.org/10.25984/1845290
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, energy, model, energy conservation, consumption, utilization, mathematics and computing research, Research Support Facility, Golden, Colorado, building energy, energy efficiency, building energy efficiency, energy modeling, electricity, energy analysis, building systems, building, buildings, resoureces, dataDOE Project Details
Project Name Maintain full availability of existing science and support infrastructure
Project Number 28308