Wind and Solar Candidate Project Areas for Princeton Net Zero America Study

For visualizing renewable energy Candidate Project Areas (CPAs) 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. This dataset provides granular guidance on what getting to net-zero really requires and on actions needed to translate these pledges into tangible progress. 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). A full description of the processes used to generate this dataset can be found in Annex D of the main NZA report. The main report and report annexes can be found at https://netzeroamerica.princeton.edu/.