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NREL RSF Energy Model 2011

Publicly accessible License 

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 -
Export Citation to RIS
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

Michael Sheppy

National Renewable Energy Laboratory

Aaron Beach

National Renewable Energy Laboratory

Shanti Pless

National Renewable Energy Laboratory

Research Areas

DOE Project Details

Project Name Maintain full availability of existing science and support infrastructure

Project Number 28308

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