World - Global Power Plant Database

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The Global Power Plant Database is a comprehensive, open source database of power plants around the world. It centralizes power plant data to make it easier to navigate, compare and draw insights for one’s own analysis. The database covers approximately 30,000 power plants from 164 countries and includes thermal plants (e.g. coal, gas, oil, nuclear, biomass, waste, geothermal) and renewables (e.g. hydro, wind, solar). Each power plant is geolocated and entries contain information on plant capacity, generation, ownership, and fuel type. It will be continuously updated as data becomes available.

The methodology for the dataset creation is given in the World Resources Institute publication "A Global Database of Power Plants". Data updates may occur without associated updates to this manuscript.

The database can be visualized on Resource Watch together with hundreds of other datasets.

The database is available for immediate download and use through the WRI Open Data Portal.

Associated code for the creation of the dataset can be found on GitHub. The bleeding-edge version of the database (which may contain substantial differences from the release you are viewing) is available on GitHub as well.

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Data and Resources

Additional Info

Field Value
Source http://datasets.wri.org/dataset/globalpowerplantdatabase
Author Logan Byers
Last Updated June 13, 2019, 19:23 (UTC)
Created April 13, 2018, 20:21 (UTC)
Topic Power system and utilities; Thermal power; Renewable energy
Region South Asia; East Asia and Pacific; Latin America & Caribbean; Europe and Central Asia; Middle East and North Africa; Africa
Status Ongoing
Coordinate Reference System WGS84
Published year 2019
Start date 2004
End date 2018
Group Power Sector

Comments [1 ]


Created 01.26.2019 22:09

where is this data base?

Created 01.28.2019 15:22

Dear Visitor,
The database can be downloaded from the CSV file above, under "Data and Resources". You can also find it from this link: http://datasets.wri.org/dataset/globalpowerplantdatabase.
Best,
The ENERGYDATA team