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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.
Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
"019:20"
]
|
| contactPoint |
{
"fn": "Michael Sheppy",
"@type": "vcard:Contact",
"hasEmail": "mailto:Michael.Sheppy@nrel.gov"
}
|
| dataQuality |
true
|
| description | 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. |
| distribution |
[
{
"@type": "dcat:Distribution",
"title": "Metering Best Practices Applied in the National Renewable Energy Laboratorys Research Support Facility",
"format": "pdf",
"accessURL": "https://www.nrel.gov/docs/fy13osti/57785.pdf",
"mediaType": "application/pdf",
"description": "This report describes how the B and C wings (a total of 220,000 ft2) of the RSF were equipped for monitoring its energy use, how its systems were modeled to forecast their energy use, and how those systems actually performed in 2011. The datasets in this submission present energy use by the RSF systems that are analyzed in this submission.
Correction: In the appendix of the report, the datasets are linked. These links are no longer functioning. The location of these data can be found in this submission and the related datasets section of this submission."
},
{
"@type": "dcat:Distribution",
"title": "NREL RSF Weather Data 2011.csv",
"format": "csv",
"mediaType": "text/csv",
"description": "A csv containing hourly weather data at NREL's Research and Support Facility (RSF) for 2011. 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.",
"downloadURL": "https://data.openei.org/files/359/rsfweatherdata2011.csv"
}
]
|
| DOI | 10.25984/1845287 |
| identifier | https://data.openei.org/submissions/359 |
| issued | 2014-11-25T07:00:00Z |
| keyword |
[
"2011",
"Colorado",
"Golden",
"NREL",
"RSF",
"Research Support Facility",
"building energy",
"building systems",
"buildings",
"consumption",
"control strategy",
"data",
"energy analysis",
"energy conservation",
"energy modeling",
"model",
"usage",
"utilization",
"weather"
]
|
| landingPage | https://data.openei.org/submissions/359 |
| license | https://creativecommons.org/licenses/by/4.0/ |
| modified | 2022-02-16T16:40:24Z |
| programCode |
[
"019:002"
]
|
| projectNumber |
"28308"
|
| projectTitle | Maintain full availability of existing science and support infrastructure |
| publisher |
{
"name": "National Renewable Energy Laboratory",
"@type": "org:Organization"
}
|
| spatial |
"{"type":"Polygon","coordinates":[[[-105.17092823982239,39.74078010914646],[-105.17092823982239,39.74078010914646],[-105.17092823982239,39.74078010914646],[-105.17092823982239,39.74078010914646],[-105.17092823982239,39.74078010914646]]]}"
|
| title | NREL RSF Weather Data 2011 |
