NREL RSF Weather 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 Weather data form the RSF systems energy model. The weather data was used to contextualize and compare energy use data like heating and cooling. The weather data was also used by the RSF Energy Model to model the energy use of the RSF.
Energy Model data and Measured Energy 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 Weather data form the RSF systems energy model. The weather data was used to contextualize and compare energy use data like heating and cooling. The weather data was also used by the RSF Energy Model to model the energy use of the RSF.
Energy Model data and Measured Energy 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 - 10.25984/1845287
KW - 2011
KW - NREL
KW - RSF
KW - data
KW - weather
KW - consumption
KW - utilization
KW - usage
KW - energy conservation
KW - buildings
KW - building energy
KW - energy modeling
KW - control strategy
KW - Colorado
KW - Golden
KW - Research Support Facility
KW - energy analysis
KW - building systems
KW - model
LA - English
DA - 2014/11/25
PY - 2014
PB - National Renewable Energy Laboratory
T1 - NREL RSF Weather Data 2011
UR - https://doi.org/10.25984/1845287
ER -
Sheppy, Michael, et al. NREL RSF Weather Data 2011. National Renewable Energy Laboratory, 25 November, 2014, Open Energy Data Initiative (OEDI). https://doi.org/10.25984/1845287.
Sheppy, M., Beach, A., & Pless, S. (2014). NREL RSF Weather Data 2011. [Data set]. Open Energy Data Initiative (OEDI). National Renewable Energy Laboratory. https://doi.org/10.25984/1845287
Sheppy, Michael, Aaron Beach, and Shanti Pless. NREL RSF Weather Data 2011. National Renewable Energy Laboratory, November, 25, 2014. Distributed by Open Energy Data Initiative (OEDI). https://doi.org/10.25984/1845287
@misc{OEDI_Dataset_359,
title = {NREL RSF Weather Data 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 Weather data form the RSF systems energy model. The weather data was used to contextualize and compare energy use data like heating and cooling. The weather data was also used by the RSF Energy Model to model the energy use of the RSF.
Energy Model data and Measured Energy data related to the RSF Systems Model can be found in the "Related Datasets" section of this submission.},
url = {https://data.openei.org/submissions/359},
year = {2014},
howpublished = {Open Energy Data Initiative (OEDI), National Renewable Energy Laboratory, https://doi.org/10.25984/1845287},
note = {Accessed: 2025-04-27},
doi = {10.25984/1845287}
}
https://dx.doi.org/10.25984/1845287
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, data, weather, consumption, utilization, usage, energy conservation, buildings, building energy, energy modeling, control strategy, Colorado, Golden, Research Support Facility, energy analysis, building systems, modelDOE Project Details
Project Name Maintain full availability of existing science and support infrastructure
Project Number 28308
