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Technoeconomic_Exclusion_Solar (FeatureServer)

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Service Description: The techno-economic screens and exclusion criteria described in this document were used to filter utility-scale solar photovoltaic energy resource potential for the Western U.S. These screens were developed for the California Public Utilities Commission Integrated Resource Planning Process (IRP) by E3 and Montara Mountain Energy. The techno-economic screens were developed using spatial analysis methods consistent with prior studies (see footnotes 1-7). Locations which are not suitable for commercial-scale renewable energy development are screened out to produce a set of land use scenarios.

Service ItemId: fdeb9081fb4c4edaa743c2f62be82626

Has Versioned Data: false

Max Record Count: 2000

Supported query Formats: JSON

Supports applyEdits with GlobalIds: False

Supports Shared Templates: False

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Description:

The site suitability criteria included in the techno-economic land use screens are listed below. As this list is an update to previous cycles, tribal lands, prime farmland, and flood zones are not included as they are not technically infeasible for development. The techno-economic site suitability exclusion thresholds are presented in Table 1. Distances indicate the minimum distance from each feature for commercial scale solar development.

Attributes:

Steeply sloped areas: change in vertical elevation compared to horizontal distance

Population density: the number of people living in a 1 km2 area

Urban areas: defined by the U.S. Census.8

Water bodies: defined by the U.S. National Atlas Water Feature Areas, available from Argonne National Lab Energy Zone Mapping Tool9

Railways: a comprehensive database of North America's railway system from the Federal Railroad Administration (FRA), available from Argonne National Lab Energy Zone Mapping Tool

Major highways: available from ESRI Living Atlas10

Airports: The Airports dataset including other aviation facilities as of July 13, 2018 is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics' (BTS's) National Transportation Atlas Database (NTAD). The Airports database is a geographic point database of aircraft landing facilities in the United States and U.S. Territories. Attribute data is provided on the physical and operational characteristics of the landing facility, current usage including enplanements and aircraft operations, congestion levels and usage categories. This geospatial data is derived from the FAA's National Airspace System Resource Aeronautical Data Product. Available from Argonne National Lab Energy Zone Mapping Tool

Active mines: Active Mines and Mineral Processing Plants in the United States in 200311

Military Lands: Land owned by the federal government that is part of  a US military base, camp, post, station, yard, center or installation.


Table 1

 

Solar

Steeply sloped areas

>10o

Population density

>100/km2

Capacity factor

<20%

Urban areas

<500 m

Water bodies

<250 m

Railways

<30 m

Major highways

<125 m

Airports

<1000 m

Active mines

<1000 m

Military Lands

<1000m


For more information about the processes and sources used to develop the screening criteria see sources 1-7 in the footnotes.

Data updates occur as needed, corresponding to typical 3-year CPUC IRP planning cycles.


Footnotes:

[1] Lopez, A. et. al. “U.S. Renewable Energy Technical Potentials: A GIS-Based Analysis,” 2012. https://www.nrel.gov/docs/fy12osti/51946.pdf

[2] https://greeningthegrid.org/Renewable-Energy-Zones-Toolkit/topics/social-environmental-and-other-impacts#ReadingListAndCaseStudies

[3] Multi-Criteria Analysis for Renewable Energy (MapRE), University of California Santa Barbara. https://mapre.es.ucsb.edu/

[4] Larson, E. et. al. “Net-Zero America: Potential Pathways, Infrastructure, and Impacts, Interim Report.” Princeton University, 2020. https://environmenthalfcentury.princeton.edu/sites/g/files/toruqf331/files/2020-12/Princeton_NZA_Interim_Report_15_Dec_2020_FINAL.pdf.

[5] Wu, G. et. al. “Low-Impact Land Use Pathways to Deep Decarbonization of Electricity.” Environmental Research Letters 15, no. 7 (July 10, 2020). https://doi.org/10.1088/1748-9326/ab87d1.

[6] RETI Coordinating Committee, RETI Stakeholder Steering Committee. “Renewable Energy Transmission Initiative Phase 1B Final Report.” California Energy Commission, January 2009.

[7] Pletka, Ryan, and Joshua Finn. “Western Renewable Energy Zones, Phase 1: QRA Identification Technical Report.” Black & Veatch and National Renewable Energy Laboratory, 2009. https://www.nrel.gov/docs/fy10osti/46877.pdf.

[8] https://www.census.gov/cgi-bin/geo/shapefiles/index.php?year=2019&layergroup=Urban+Areas

[9] https://ezmt.anl.gov/

[10] https://www.arcgis.com/home/item.html?id=fc870766a3994111bce4a083413988e4

[11] https://mrdata.usgs.gov/mineplant/



Credits

Title: Techno-economic screening criteria for utility-scale solar photovoltaic energy installations for Integrated Resource Planning

Purpose for creation: These exclusion criteria are for use in electric system planning, capacity expansion modeling, and integrated resource planning.


Keywords: solar, photovoltaic, resource potential, techno-economic, PV, IRP


Extent: western states of the contiguous U.S.

Use Limitations

The geospatial data created by the use of these techno-economic screens inform high-level estimates of technical renewable resource potential for electric system planning and should not be used, on their own, to guide siting of generation projects nor assess project-level impacts.

Confidentiality: Public

Contact

Emily Leslie Emily@MontaraMtEnergy.com

Sam Schreiber sam.schreiber@ethree.com

Jared Ferguson Jared.Ferguson@cpuc.ca.gov

Oluwafemi Sawyerr femi@ethree.com



Copyright Text: Contact Emily Leslie Emily@MontaraMtEnergy.com Sam Schreiber sam.schreiber@ethree.com Jared Ferguson Jared.Ferguson@cpuc.ca.gov Oluwafemi Sawyerr femi@ethree.com

Spatial Reference: 3310 (3310)

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Supported Operations:   Query   ConvertFormat   Get Estimates   Create Replica