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.

Data and Resources

Field Value
DOI 10.25984/1845287
accessLevel public
bureauCode {019:20}
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dataQuality true
identifier https://data.openei.org/submissions/359
issued 2014-11-25T07:00:00Z
landingPage https://data.openei.org/submissions/359
license https://creativecommons.org/licenses/by/4.0/
modified 2022-02-16T16:40:24Z
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programCode {019:002}
projectNumber 28308
projectTitle Maintain full availability of existing science and support infrastructure
publisher National Renewable Energy Laboratory
resource-type Dataset
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Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • 2011
  • AmeriGEO
  • AmeriGEOSS
  • CKAN
  • GEO
  • GEOSS
  • National
  • North America
  • United States
  • building-energy
  • building-systems
  • buildings
  • colorado
  • consumption
  • control-strategy
  • data
  • energy-analysis
  • energy-conservation
  • energy-modeling
  • golden
  • model
  • nrel
  • research-support-facility
  • rsf
  • usage
  • utilization
  • weather
isopen True
license_id cc-by
license_title Creative Commons Attribution
license_url http://www.opendefinition.org/licenses/cc-by
maintainer Michael Sheppy
maintainer_email Michael.Sheppy@nrel.gov
metadata_created 2025-09-23T18:54:58.462126
metadata_modified 2025-09-23T18:54:58.462132
notes 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.
num_resources 2
num_tags 27
title NREL RSF Weather Data 2011