U.S. Department of EnergyOffice of Scientific and Technical Information
NREL RSF Energy Model 2011
Abstract
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 "Relatedmore »
- Authors:
- Publication Date:
- Other Number(s):
- 357
- DOE Contract Number:
- 28308
- Research Org.:
- DOE Open Energy Data Initiative (OEDI); National Renewable Energy Lab. (NREL), Golden, CO (United States)
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Energy Efficiency Office. Building Technologies Office (EE-5B)
- Collaborations:
- National Renewable Energy Laboratory
- Subject:
- Array
- 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; data
- Geolocation:
- 39.740780109146, -105.17092823982
- OSTI Identifier:
- 1845290
- DOI:
- https://doi.org/10.25984/1845290
- Project Location:
-
Citation Formats
Sheppy, Michael, Beach, Aaron, and Pless, Shanti. NREL RSF Energy Model 2011. United States: N. p., 2014.
Web. doi:10.25984/1845290.
Sheppy, Michael, Beach, Aaron, & Pless, Shanti. NREL RSF Energy Model 2011. United States. doi:https://doi.org/10.25984/1845290
Sheppy, Michael, Beach, Aaron, and Pless, Shanti. 2014.
"NREL RSF Energy Model 2011". United States. doi:https://doi.org/10.25984/1845290. https://www.osti.gov/servlets/purl/1845290. Pub date:Tue Nov 25 00:00:00 EST 2014
@article{osti_1845290,
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.},
doi = {10.25984/1845290},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Nov 25 00:00:00 EST 2014},
month = {Tue Nov 25 00:00:00 EST 2014}
}