High resolution global spatiotemporal assessment of rooftop solar photovoltaics potential for renewable electricity generation
Bill Mead on Unsplash
Here, we present a high-resolution global assessment of rooftop solar photovoltaics potential using big data, machine learning and geospatial analysis. We analyse 130 million km2 of global land surface area to demarcate 0.2 million km2 of rooftop area, which together represent 27 PWh yr−1 of electricity generation potential for costs between 40–280 $ MWh−1. Out of this, 10 PWh yr−1 can be realised below 100 $ MWh−1.
Read the full report here
← Older Post Newer Post →