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NREL RSF Energy Model 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 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.
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 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. |
| 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 Energy Model 2011.csv",
"format": "csv",
"mediaType": "text/csv",
"description": "NREL's Research and Support Facility (RSF) energy model for 2011. Comparing actual performance (metered) with expected performance (modeled) is key to understand corrective actions to ensure performance as originally intended. The Energy Model was used to compare with metered performance data which can be found in the "Related Datasets" section of this submission.",
"downloadURL": "https://data.openei.org/files/357/rsfenergymodel2011.csv"
}
]
|
| DOI | 10.25984/1845290 |
| identifier | https://data.openei.org/submissions/357 |
| issued | 2014-11-25T07:00:00Z |
| keyword |
[
"2011",
"Colorado",
"Golden",
"NREL",
"RSF",
"Research Support Facility",
"building",
"building energy",
"building energy efficiency",
"building systems",
"buildings",
"consumption",
"data",
"electricity",
"energy",
"energy analysis",
"energy conservation",
"energy efficiency",
"energy modeling",
"mathematics and computing research",
"model",
"resoureces",
"utilization"
]
|
| landingPage | https://data.openei.org/submissions/357 |
| license | https://creativecommons.org/licenses/by/4.0/ |
| modified | 2022-02-16T16:40:32Z |
| programCode |
[
"019:002"
]
|
| projectNumber |
"28308"
|
| projectTitle | Maintain full availability of existing science and support infrastructure |
| publisher |
{
"name": "National Renewable Energy Laboratory",
"@type": "org:Organization"
}
|
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|
| title | NREL RSF Energy Model 2011 |
