Updated U.S. Low-Temperature Heating and Cooling Demand by County and Sector
This dataset includes U.S. low-temperature heating and cooling demand at the county level in major end-use sectors: residential, commercial, manufacturing, agricultural, and data centers. Census division-level end-use energy consumption, expenditure, and commissioned power database were dis-aggregated to the county level. The county-level database was incorporated with climate zone, numbers of housing units and farms, farm size, and coefficient of performance (COP) for heating and cooling demand analysis. This dataset also includes a paper containing a full explanation of the methodologies used and maps. Residential data were updated from the latest Residential Energy Consumption Survey (RECS) dataset (2015) using 2020 census data. Commercial data were baselined off the latest Commercial Building Energy Consumption Survey (CBECS) dataset (2012). Manufacturing data were baselined off the latest Manufacturing Energy Consumption Survey (MECS) dataset (2021).
Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
"019:20"
]
|
| contactPoint |
{
"fn": "Koenraad Beckers",
"@type": "vcard:Contact",
"hasEmail": "mailto:Koenraad.beckers@nrel.gov"
}
|
| dataQuality |
true
|
| description | This dataset includes U.S. low-temperature heating and cooling demand at the county level in major end-use sectors: residential, commercial, manufacturing, agricultural, and data centers. Census division-level end-use energy consumption, expenditure, and commissioned power database were dis-aggregated to the county level. The county-level database was incorporated with climate zone, numbers of housing units and farms, farm size, and coefficient of performance (COP) for heating and cooling demand analysis. This dataset also includes a paper containing a full explanation of the methodologies used and maps. Residential data were updated from the latest Residential Energy Consumption Survey (RECS) dataset (2015) using 2020 census data. Commercial data were baselined off the latest Commercial Building Energy Consumption Survey (CBECS) dataset (2012). Manufacturing data were baselined off the latest Manufacturing Energy Consumption Survey (MECS) dataset (2021). |
| distribution |
[
{
"@type": "dcat:Distribution",
"title": "Agricultural Heating Demand Totals.xlsx",
"format": "xlsx",
"accessURL": "https://gdr.openei.org/files/1465/Agricultural%20Heating%20Demand%20Totals.xlsx",
"mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
"description": "County-level heating demand analysis in agricultural sector"
},
{
"@type": "dcat:Distribution",
"title": "Commercial Heating and Cooling Demand Totals.xlsx",
"format": "xlsx",
"accessURL": "https://gdr.openei.org/files/1465/Commercial%20Heating%20and%20Cooling%20Demand%20Totals.xlsx",
"mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
"description": "County-level commercial heating and cooling demand "
},
{
"@type": "dcat:Distribution",
"title": "Data Center Cooling Demand Totals.xlsx",
"format": "xlsx",
"accessURL": "https://gdr.openei.org/files/1465/Data%20Center%20Cooling%20Demand%20Totals.xlsx",
"mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
"description": "County-level data center cooling demand"
},
{
"@type": "dcat:Distribution",
"title": "Manufacturing Heating and Cooling Demand Totals.xlsx",
"format": "xlsx",
"accessURL": "https://gdr.openei.org/files/1465/Manufacturing%20Heating%20and%20Cooling%20Demand%20Totals.xlsx",
"mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
"description": "County-level manufacturing heating and cooling demand"
},
{
"@type": "dcat:Distribution",
"title": "Geospatial Characterization of Low-Temperature Heating and Cooling Demand in the United States.pdf",
"format": "pdf",
"accessURL": "https://gdr.openei.org/files/1465/Oh%20and%20Beckers%202023%20Geospatial%20Characterization%20of%20Low-Temperature%20Heating%20and%20Cooling%20Demand%20in%20the%20United%20States.pdf",
"mediaType": "application/pdf",
"description": "Conference paper presented at the 48th Workshop on Geothermal Reservoir Engineering, Stanford, CA, February 6-8, 2023"
},
{
"@type": "dcat:Distribution",
"title": "Residential Heating and Cooling Demand Totals.xlsx",
"format": "xlsx",
"accessURL": "https://gdr.openei.org/files/1465/Residential%20Heating%20and%20Cooling%20Demand%20Totals.xlsx",
"mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
"description": "County-level residential heating and cooling demand"
}
]
|
| DOI | 10.15121/1987526 |
| identifier | https://data.openei.org/submissions/7560 |
| issued | 2022-12-31T07:00:00Z |
| keyword |
[
"Excel",
"agricultural",
"characterization",
"commercial",
"cooling demand",
"datacenter",
"direct use",
"end-use",
"energy",
"feasibility",
"geospatial data",
"geothermal",
"heating demand",
"low temp",
"low-temperature",
"manufacturing",
"processsed data",
"residential",
"temperature",
"thermal demand"
]
|
| landingPage | https://gdr.openei.org/submissions/1465 |
| license | https://creativecommons.org/licenses/by/4.0/ |
| modified | 2023-06-29T17:55:09Z |
| programCode |
[
"019:006"
]
|
| projectLead | Arlene Anderson |
| projectNumber | FY23 AOP 4.6.2.19 |
| projectTitle | Low-Temperature Geothermal Heating and Cooling Analysis |
| publisher |
{
"name": "National Renewable Energy Laboratory",
"@type": "org:Organization"
}
|
| spatial |
"{"type":"Polygon","coordinates":[[[-125.5392625,24.5873],[-61.03863125,24.5873],[-61.03863125,50.954451321951495],[-125.5392625,50.954451321951495],[-125.5392625,24.5873]]]}"
|
| title | Updated U.S. Low-Temperature Heating and Cooling Demand by County and Sector |
