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Net-Zero America selected renewable resource projects for renewable-limited 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
Emily Leslie, Energy Reflections, LLC, Principal
Originator
Andrew Pascale, Andlinger Center, Princeton University, Post-Doctoral Research Associate
Publication Date
20210528
Title
Net-Zero America selected renewable resource projects for renewable-limited scenario (base land use), 2050
Geospatial Data Presentation Form
vector digital data
Online Linkage
https://figgy.princeton.edu/downloads/db4d496f-ad93-4508-ad3d-d5effea3e316/file/54ca4124-387e-4aeb-bca0-7fd860f6d2b9
Abstract
This dataset shows the wind and solar development in the contiguous United States that will be required by 2050 under a net-zero-emissions scenario with constrained renewable-energy development and more permissive land-use assumptions. For an overview of this "E+RE-" renewable-limited scenario and these "base" land-use assumptions, please refer to the "supplemental information" portion of this record.
Purpose
For visualizing renewable energy 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 renewable-constrained 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+RE- scenario assumes: 1) a high degree of end-use electrification in transportation and buildings, 2) wind and solar development constrained to the maximum historical build rate, 3) an 80-year life for 50% of existing nuclear power, 4) no new nuclear power in California, and 5) the ongoing use of fossil fuels. By 2050, the E+RE- scenario further assumes: 1) carbon dioxide storage of no more than 3 Gt/y, 2) 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
20200101
End
20501231
Bounding Box
West
-126.843886
East
-66.969125
North
50.315241
South
23.571952
Theme Keyword
net-zero
solar
wind
offshore
transmission
spur
bulk
renewable energy
transition
energy
infrastructure
electricity
netzeroamerica
public
open access
E+RE-
renewable-constrained
renewable-limited
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
2020
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
E. Leslie, 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, K. Paustian, A. Swan
Native Data Set Environment
Version 6.2 (Build 9200) ; Esri ArcGIS 10.7.1.11595
Data Quality Information
Lineage
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
GT-polygon composed of chains
Point and Vector Object Count
18384
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_renewable_project_sites_RE-_BLUA_v2
Entity Type Definition
Polygons representing renewable energy project areas.
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
Region
Model region in which the selected project area is located.
California
Desert Southwest
Florida
Louisiana and Ozarks
Lower Midwest
Mid-Atlantic and Great Lakes
New England
New York
Pacific Northwest
Rocky Mountains
Southeast
Texas
Upper Midwest
Utah/Nevada
Definition Source
Andlinger Center/HMEI
AnnGenMWh
Annual generation of the Selected Project Area in MWh.
Definition Source
Andlinger Center/HMEI
IncCapMW
Nameplate capacity of the Selected Project Area (AC) in MW.
Definition Source
Andlinger Center/HMEI
year
Year by which the installation is completed. (2020 to 2050)
Definition Source
Andlinger Center/HMEI
Technology
Indicates the technology used.
Solar
Solar energy.
Wind
Wind energy.
OffshoreWind
Wind energy harvested offshore.
Definition Source
Andlinger Center/HMEI
Shape_Leng
Perimeter of feature. (Positive real numbers that are automatically generated.)
Definition Source
Esri
scenario
Scenario to which the siting applies.
RE-
Renewable-constrained scenario.
Definition Source
Andlinger Center/HMEI
state
Name of the state in which the Selected Project Area is located. (All US states except Alaska and Hawaii, plus the District of ColumbiaUnited States government)
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).
BLUA
Base Land Use Assumptions.
CLUA
Constrained Land Use Assumptions.
Definition Source
Andlinger Center/HMEI
Shape_Area
Area of feature in internal units squared. (Positive real numbers that are automatically generated.)
Definition Source
Esri
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
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