Wind and Solar Candidate Project Areas for Princeton REPEAT

This data set contains the GIS data for solar, land-based wind, and offshore wind Candidate Project Areas (CPAs) under base and constrained land use assumptions (BLUA, CLUA). Each record in this dataset represents a “Candidate Project Area” with attributes such as nameplate capacity, annual generation, model region, distance to transmission, etc. The Lawrence Berkeley National Lab MAPRE tools (https://mapre.lbl.gov/gis-tools/) were used to create this dataset, along with input assumptions adapted from Wu et al 2020 (Grace C Wu <em>et al</em> 2020 <em>Environ. Res. Lett.</em> 15 074044) and E. Larson, C. Greig, J. Jenkins, E. Mayfield, A. Pascale, C. Zhang, J. Drossman, R. Williams, S. Pacala, R. Socolow, EJ Baik, R. Birdsey, R. Duke, R. Jones, B. Haley, E. Leslie, K. Paustian, and A. Swan, Net-Zero America: Potential Pathways, Infrastructure, and Impacts, interim report, Princeton University, Princeton, NJ, December 15, 2020.