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Net-Zero America bulk transmission expansions between metropolitan statistical areas for 100% renewable scenario (base land use), 2050
- Identification Information
- Data Quality Information
- Spatial Data Organization Information
- Spatial Reference Information
- Entity and Attribute Information
- Distribution Information
- Metadata Reference Information
- Identification Information
- Citation
- Originator
- Andrew Pascale, Andlinger Center, Princeton University, Post-Doctoral Research Associate
- Publication Date
- 20210528
- Title
- Net-Zero America bulk transmission expansions between metropolitan statistical areas for 100% renewable scenario (base land use), 2050
- Geospatial Data Presentation Form
- vector digital data
- Online Linkage
- https://figgy.princeton.edu/downloads/fb2666ba-02f0-41b7-994d-198dc4fded6a/file/10c232ae-e0e3-4bae-bb24-c72bb8160297
- Abstract
- This dataset shows the expansions to bulk electric transmission corridors in the contiguous United States that will be required by 2050 to balance renewable energy capacity (solar PV, wind, and offshore wind) across metropolitan statistical areas (MSAs) under a net-zero-emissions scenario with 100% renewable energy generation and more permissive land-use assumptions. Balancing ensures that each of the 73 MSAs included in the analysis has access to a minimum level of renewable electricity supply on an annualized basis. For an overview of the "E+RE+" all-renewable scenario and "base" land-use assumptions on which this dataset is based, please refer to the "supplemental information" portion of this record.
- Purpose
- For visualizing renewable energy transmission using GIS software. A growing number of pledges are being made by major corporations, municipalities, states, and national governments to reach net-zero emissions by 2050 or sooner. As part of the Net-Zero America Project, this dataset provides granular guidance on what getting to net-zero really requires and on actions needed to translate these pledges into tangible progress.
- Supplemental Information
- The E+RE+ scenario, or 100% renewable scenario, is one of five defined pathways whereby the United States can become carbon-neutral by 2050, as detailed in the Net-Zero America report of December 2020. Between 2020 and 2050, the E+ scenario assumes: 1) a high degree of end-use electrification in transportation and buildings, 2) a minimum of 10% yearly growth in wind and solar, 3) the retirement of existing nuclear facilities at 60 years, 4) no new nuclear power facilities, and 5) the phasing out of fossil fuels. By 2050, the E+RE+ scenario further assumes: 1) no fossil fuel use, 2) no storage of carbon dioxide, 3) carbon dioxide emissions of -0.17 Gt, and 3) a biomass supply limit of 0.7 Gt/y biomass with no new land converted to bioenergy. Both the "base" land-use assumptions on which this scenario is predicated and the "constrained" alternative stipulate that new renewable-energy sites will be selected based on: 1) numerous environmental, cultural, and economic exclusions, 2) buffers of varying extent around water bodies, urban areas, and certain infrastructure, and 3) slope and population-density limits. The "base" case additionally allows for 1) sites with Theobald Human Modification Index values of 0.082 or more, and 2) wind development on prime farmlands. These assumptions are detailed in the Net-Zero America report.
- Temporal Extent
- Currentness Reference
- Time frame of analysis.
- Time Period
- Beginning
- 20250101
- End
- 20501231
- Bounding Box
- West
- -124.839634
- East
- -69.894145
- North
- 48.213280
- South
- 24.947527
- Theme Keyword
- net-zero
- solar
- wind
- offshore
- transmission
- spur
- bulk
- renewable energy
- transition
- energy
- infrastructure
- electricity
- grid
- MSAs
- metropolitan areas
- netzeroamerica
- public
- open access
- E+RE+
- all-renewable
- 100% renewable
- BLUA
- Theme Keyword Thesaurus
- None
- Theme Keyword
- utilitiesCommunication
- Theme Keyword Thesaurus
- ISO 19115 Topic Categories
- Place Keyword
- United States
- Place Keyword Thesaurus
- None
- Temporal Keyword
- 2025
- 2030
- 2035
- 2040
- 2045
- 2050
- Temporal Keyword Thesaurus
- None
- Access Restrictions
- None
- Use Restrictions
- This dataset is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Any non-commercial use is permitted. All uses must credit Princeton University and carry this same license.
- Status
- Complete
- Maintenance and Update Frequency
- None planned
- Point of Contact
- Contact Organization
- Map and Geospatial Information Center, Lewis Library, Princeton University
- City
- Princeton
- State
- NJ
- Postal Code
- 08544
- Country
- US
- Contact Telephone
- 609-258-1097
- Point of Contact
- Contact Person
- Andrew Pascale
- Credit
- A. Pascale, J. Jenkins, E. Larson, C. Greig, E. Mayfield, C. Zhang, J. Drossman, R. Williams, S. Pacala, R. Socolow, EJ Baik, R. Birdsey, R. Duke, R. Jones, B. Haley, E. Leslie, K. Paustian, A. Swan
- Native Data Set Environment
- Version 6.2 (Build 9200) ; Esri ArcGIS 10.7.1.11595
- Data Quality Information
- Lineage
- Source
- Originator
- United States Department of Transportation
- Title
- Core Based Statistical Areas (National)
- Online Linkage
- https://catalog.data.gov/dataset/core-based-statistical-areas-national
- Type of Source Media
- None
- Contribution
- MSA data.
- Source
- Publication Date
- 20201215
- Title
- Net-Zero America: potential pathways, infrastructure, and impacts, interim report
- Publication Information
- Publication Place
- Princeton, NJ, 08544, US
- Publisher
- Princeton University
- Online Linkage
- https://netzeroamerica.princeton.edu/img/Princeton_NZA_Interim_Report_15_Dec_2020_FINAL.pdf
- Type of Source Media
- onLine
- Contribution
- Net-Zero America report, 2020
- Spatial Data Organization Information
- Direct Spatial Reference Method
- Vector
- Point and Vector Object Information
- SDTS Terms Description
- SDTS Point and Vector Object Type
- String
- Point and Vector Object Count
- 192
- Spatial Reference Information
- Horizontal Coordinate System Definition
- Planar
- Map Projection
- Map Projection Name
- NAD 1983 Albers
- Albers Conical Equal Area
- Standard Parallel
- 29.5
- Standard Parallel
- 45.5
- Longitude of Central Meridian
- -96.0
- Latitude of Projection Origin
- 23.0
- False Easting
- 0.0
- False Northing
- 0.0
- Planar Coordinate Information
- Planar Coordinate Encoding Method
- coordinate pair
- Coordinate Representation
- Abscissa Resolution
- 0.0000000037527980722984474
- Ordinate Resolution
- 0.0000000037527980722984474
- Planar Distance Units
- meter
- Geodetic Model
- Horizontal Datum Name
- D North American 1983
- Ellipsoid Name
- GRS 1980
- Semi-major Axis
- 6378137.0
- Denominator of Flattening Ratio
- 298.257222101
- Entity and Attribute Information
- Entity Type
- Entity Type Label
- NZAP_bulk_transmission_MSA-MSA_RE+_BLUA_v2
- Entity Type Definition
- Polylines representing electric transmission infrastructure.
- Entity Type Definition Source
- Andlinger Center for Energy and the Environment/High Meadows Environmental Institute
- Attributes
- FID
- Internal feature number. (Sequential unique whole numbers that are automatically generated.)
- Definition Source
- Esri
- Shape
- Feature geometry. (Coordinates defining the features.)
- Definition Source
- Esri
- available
- Year(s) from which the capacity specified by field "cumCapGW" is available. (2025 to 2050)
- Definition Source
- Andlinger Center/HMEI
- cumCapGW
- Transmission capacity of corridor in GW as of year specified in field "available." (0.016 to 78.81)
- Definition Source
- Andlinger Center/HMEI
- Shape_Leng
- Length of transmission spur line in meters.
- Definition Source
- Andlinger Center/HMEI
- scenario
- Scenario to which the transmission line applies.
- RE+
- 100% renewable scenario.
- Definition Source
- Andlinger Center/HMEI
- LandUseAss
- Land use case filter being applied during renewable resource capacity siting step, either Base Land Use Assumptions (BLUA) or Constrained Land Use Assumptions (CLUA). Note that the base land use case was used for all transmission siting.
- BLUA
- Base Land Use Assumptions.
- CLUA
- Constrained Land Use Assumptions.
- Definition Source
- Andlinger Center/HMEI
- Distribution Information
- Name
- Metadata Reference Information
- Metadata Date
- 20210824
- Metadata Contact
- Contact Information
- Contact Organization Primary
- Contact Organization
- Map and Geospatial Information Center, Lewis Library, Princeton University
- Contact Address
- City
- Princeton
- State or Province
- NJ
- Postal Code
- 08544
- Country
- US
- Contact Voice Telephone
- 609-258-1097
- Metadata Standard Name
- FGDC Content Standard for Digital Geospatial Metadata
- Metadata Standard Version
- FGDC-STD-001-1998