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@@ -6,7 +6,7 @@ URI: http://datasets.wri.org/dataset/globalpowerplantdatabase | |
Copyright: Copyright 2018-2021 World Resources Institute and Data Contributors | ||
License: Creative Commons Attribution 4.0 International -- CC BY 4.0 | ||
Contact: [email protected] | ||
Citation: Global Energy Observatory, Google, KTH Royal Institute of Technology in Stockholm, Enipedia, World Resources Institute. 2019. Global Power Plant Database. Published on Resource Watch and Google Earth Engine. http://resourcewatch.org/ https://earthengine.google.com/ | ||
Citation: Global Energy Observatory, Google, KTH Royal Institute of Technology in Stockholm, Enipedia, World Resources Institute. 2019. Global Power Plant Database. Published on Resource Watch and Google Earth Engine. http://resourcewatch.org/ https://earthengine.google.com/ | ||
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Abstract: | ||
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@@ -21,7 +21,7 @@ The Global Power Plant Database is an open-source open-access dataset of grid-sc | |
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The Database currently contains nearly 35000 power plants in 167 countries, representing about 72% of the world's capacity. | ||
Entries are at the facility level only, generally defined as a single transmission grid connection point. | ||
Generation unit-level information is not currently available. | ||
Generation unit-level information is not currently available. | ||
The methodology for the dataset creation is given in the World Resources Institute publication "A Global Database of Power Plants" [0]. | ||
Associated code for the creation of the dataset can be found on GitHub [1]. | ||
See also the technical note published in early 2020 on an improved methodology to estimate annual generation [2]. | ||
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@@ -125,9 +125,9 @@ The reported generation values may correspond to a calendar year or a fiscal/reg | |
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The generation estimation note CAPACITY-FACTOR-V1 is only available for year 2017. | ||
This model is not available for rows with `primary_fuel` values of: Biomass, Cogeneration, Petcoke, Storage, Wave and Tidal. | ||
This model is selectively not applied to some country-fuel combinations for which estimations of capacity factors were greater than 90%. | ||
This model is selectively not applied to some country-fuel combinations for which estimations of capacity factors were greater than 90%. | ||
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Rows with `estimated_generation_note_2017` of NO-ESTIMATION account for ~5% of all rows (~1800 of ~35000) and ~1.3% of total database capacity (~77 GW of ~5700 GW). | ||
Rows with `estimated_generation_note_2017` of NO-ESTIMATION account for ~5% of all rows (~1800 of ~35000) and ~1.3% of total database capacity (~77 GW of ~5700 GW). | ||
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Updates: | ||
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@@ -140,6 +140,3 @@ The authors, advisors, and contributors hope to find continued funding and susta | |
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[6] [email protected] | ||
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