Can geospatial data predict power generation from other sources of low-carbon energy?

In addition to geospatial data used in the calculation of PV and wind power generation, we compile data to predict the power generation from other sources of low-carbon energy (bioenergy, geothermal, hydro, nuclear, and tidal wave).

Do technological improvements lead to a faster growth of PV and wind power?

In our optimal case, the projected cost reduction by technological improvements 20 and the low-cost energy sources identification at sub-national scales 23 together lead to a faster growth of PV and wind-power generation than the prediction based on the historical trends.

Are solar power plants optimally distributed in South and East Asia?

We find that PV power plants are optimally distributed in South and East Asia at a latitude of 20–40°N with total power generation of 14 PWh y -1 and an average LCOE of $0.089 per kWh by accounting for the spatial distributions of solar radiation, land occupation, clouds, land cover, power demand, and capital costs (Fig. 2c).

How to determine the location of offshore wind power plants?

To determine the location of offshore wind power plants, we compile the data of territorial sea area from the Maritime Boundaries Geodatabase 74, depth of water from the Radar Topography Mission Global Enhanced Slope Database 73, and geo-locations of the marine ecological reserve from the National Marine Data and Information Service 72, 75.