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NREL RSF Energy Model 2011

Metadata Updated: April 26, 2022

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.

Access & Use Information

Public: This dataset is intended for public access and use. License: Creative Commons Attribution

Downloads & Resources


Metadata Created Date April 26, 2022
Metadata Updated Date April 26, 2022

Metadata Source

Harvested from OpenEI data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date April 26, 2022
Metadata Updated Date April 26, 2022
Publisher National Renewable Energy Laboratory
Doi 10.25984/1845290
Data First Published 2014-11-25T07:00:00Z
Data Last Modified 2022-02-16T16:40:32Z
Public Access Level public
Bureau Code 019:20
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Homepage URL
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