Return to search results
Metering Best Practices Applied in the National Renewable Energy Laboratory's Research Support Facility: A Primer to the 2011 Measured and Modeled Energy Consumption Datasets
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.
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. |
| distribution |
[
{
"@type": "dcat:Distribution",
"title": "Full Text Document. DOI 10.2172/1076618",
"accessURL": "https://data.nrel.gov/system/files/40/57785-2%20%281%29.pdf",
"mediaType": "application/octet-stream",
"description": "Full Text Document. DOI 10.2172/1076618"
},
{
"@type": "dcat:Distribution",
"title": "A csv containing energy model data for NREL's Research and Support Facility RSF",
"accessURL": "https://data.nrel.gov/system/files/40/rsfenergymodel2011%20%281%29.csv",
"mediaType": "application/octet-stream",
"description": "A csv containing energy model data for NREL's Research and Support Facility RSF"
},
{
"@type": "dcat:Distribution",
"title": "A csv with measured data from NREL's Research and Support Facility (RSF) for 2011. The dataset contains hourly data for: Total Cooling (kW)- Total Heating (kW)- Total Mechanical (kW)- Total Lighting (kW)- Total Plug Loads (kW)- Total Data Center (kW)- Total Building (kW)- PV (kW)- Building Net (kW)",
"format": " The dataset contains hourly data for: Total Cooling (kW)- Total Heating (kW)- Total Mechanical (kW)- Total Lighting (kW)- Total Plug Loads (kW)- Total Data Center (kW)- Total Building (kW)- PV (kW)- Building Net (kW)",
"accessURL": "https://data.nrel.gov/system/files/40/rsfmeasureddata2011%20%281%29.csv",
"mediaType": "application/octet-stream",
"description": "A csv with measured data from NREL's Research and Support Facility (RSF) for 2011. The dataset contains hourly data for: Total Cooling (kW)- Total Heating (kW)- Total Mechanical (kW)- Total Lighting (kW)- Total Plug Loads (kW)- Total Data Center (kW)- Total Building (kW)- PV (kW)- Building Net (kW)"
},
{
"@type": "dcat:Distribution",
"title": "A csv containing hourly weather data at NREL's Research and Support Facility (RSF) for 2011.",
"accessURL": "https://data.nrel.gov/system/files/40/rsfweatherdata2011%20%281%29.csv",
"mediaType": "application/octet-stream",
"description": "A csv containing hourly weather data at NREL's Research and Support Facility (RSF) for 2011."
}
]
|
| identifier | https://data.openei.org/submissions/8146 |
| issued | 2016-03-25T19:58:19Z |
| keyword |
[
"Golden",
"RSF",
"Research Support Facility",
"building systems",
"buildings",
"colorado",
"consumption",
"control strategy",
"electricity",
"energy analysis",
"energy conservation",
"energy modeling",
"mathematics and computing research",
"resources",
"utilization"
]
|
| landingPage | https://data.nrel.gov/submissions/40 |
| license | https://creativecommons.org/licenses/by/4.0/ |
| modified | 2024-12-18T17:36:27Z |
| programCode |
[
"019:000",
"019:002"
]
|
| projectNumber | GO28308 |
| projectTitle | Maintain full availability of existing science and support infrastructure |
| publisher |
{
"name": "National Renewable Energy Laboratory",
"@type": "org:Organization"
}
|
| title | Metering Best Practices Applied in the National Renewable Energy Laboratory's Research Support Facility: A Primer to the 2011 Measured and Modeled Energy Consumption Datasets |
