La base de données mondiale sur les centrales électriques est une base de données Open Source complète sur les centrales électriques du monde entier. Il centralise les données des centrales électriques pour faciliter la navigation, la comparaison et l'obtention d'insights. Chaque centrale électrique est géolocalisée et les entrées contiennent des informations sur la capacité, la production, la propriété et le type de combustible de la centrale.
En juin 2018, la base de données comprenait environ 28 500 centrales électriques de 164 pays.
Il sera mis à jour en continu à mesure que des données seront disponibles.
La méthodologie de création de l'ensemble de données est décrite dans la publication du World Resources Institute "A Global Database of Power Plants".
Le code associé à la création de l'ensemble de données est disponible sur GitHub.
La version expérimentale de la base de données (qui peut présenter des différences importantes par rapport à la version dans Earth Engine) est également disponible sur GitHub.
Si vous utilisez cet ensemble de données, le fournisseur (WRI) vous demande de vous inscrire et (facultativement) de vous abonner pour recevoir des notifications de mise à jour.
Schéma de la table
Schéma de table
Nom
Type
Description
country
STRING
Code pays à trois caractères correspondant aux spécifications ISO 3166-1 alpha-3
country_lg
STRING
Forme longue de la désignation du pays
nom
STRING
Nom ou titre de la centrale électrique, généralement sous forme romanisée
gppd_idnr
STRING
Identifiant de la centrale électrique (10 ou 12 caractères)
capacitymw
DOUBLE
Capacité de production d'électricité en mégawatts
latitude
DOUBLE
Géolocalisation en degrés décimaux
longitude
DOUBLE
Géolocalisation en degrés décimaux
fuel1
STRING
Source d'énergie utilisée pour la production ou l'exportation d'électricité
fuel2
STRING
Source d'énergie utilisée pour la production ou l'exportation d'électricité
fuel3
STRING
Source d'énergie utilisée pour la production ou l'exportation d'électricité
fuel4
STRING
Source d'énergie utilisée pour la production ou l'exportation d'électricité
comm_year
STRING
Année d'exploitation de la centrale, pondérée par la capacité de l'unité lorsque les données sont disponibles
owner
STRING
Actionnaire majoritaire de la centrale électrique, généralement sous forme romanisée
source
STRING
Entité qui signale les données. Il peut s'agir d'une organisation, d'un rapport ou d'un document, généralement sous forme romanisée.
url
STRING
Document Web correspondant au champ "source"
src_latlon
STRING
Attribution des informations de géolocalisation
cap_year
DOUBLE
Année à laquelle les informations sur la capacité ont été signalées
gwh_2013
DOUBLE
Production d'électricité en gigawattheures pour l'année 2013
gwh_2014
DOUBLE
Production d'électricité en gigawattheures pour l'année 2014
gwh_2015
DOUBLE
Production d'électricité en gigawattheures pour l'année 2015
gwh_2016
DOUBLE
Production d'électricité en gigawattheures pour l'année 2016
gwh_estimt
DOUBLE
Production annuelle d'électricité estimée en gigawattheures pour l'année 2015
Global Energy Observatory, Google, KTH Royal Institute of Technology à Stockholm, Université de Groningen, World Resources Institute. 2018. Base de données mondiale sur les centrales électriques. Publié sur Resource Watch et Google Earth Engine :
https://resourcewatch.org/https://earthengine.google.com/
La base de données mondiale sur les centrales électriques est une base de données Open Source complète sur les centrales électriques du monde entier. Il centralise les données des centrales électriques pour faciliter la navigation, la comparaison et l'obtention d'insights. Chaque centrale électrique est géolocalisée et les entrées contiennent des informations sur la capacité, la production, la propriété et le type de combustible de la centrale. En tant que…
[null,null,[],[[["\u003cp\u003eThe Global Power Plant Database is a comprehensive, open-source dataset containing information on approximately 28,500 power plants from 164 countries.\u003c/p\u003e\n"],["\u003cp\u003eThis dataset provides information on plant capacity, generation, ownership, fuel type, and geolocation for each power plant.\u003c/p\u003e\n"],["\u003cp\u003eIt is continuously updated and available through the World Resources Institute and Google Earth Engine.\u003c/p\u003e\n"],["\u003cp\u003eData is available under the CC-BY-4.0 license, requiring attribution when used.\u003c/p\u003e\n"],["\u003cp\u003eUsers are requested to register their use of the dataset with the provider (WRI).\u003c/p\u003e\n"]]],["The Global Power Plant Database, provided by the World Resources Institute, is an open-source collection of power plant data. It includes information on approximately 28,500 plants across 164 countries as of June 2018. Each entry is geolocated and contains details on capacity, generation, ownership, and fuel type. Users can access the database via Google Earth Engine and view data with feature collections or feature view, the provider requests user to register their use.\n"],null,["# Global Power Plant Database\n\nDataset Availability\n: 2018-06-11T00:00:00Z--2018-06-11T00:00:00Z\n\nDataset Provider\n:\n\n\n [World Resources Institute](https://datasets.wri.org/dataset/globalpowerplantdatabase)\n\nTags\n:\n [infrastructure-boundaries](/earth-engine/datasets/tags/infrastructure-boundaries) [table](/earth-engine/datasets/tags/table) [wri](/earth-engine/datasets/tags/wri) \n energy \n infrastructure \n power \npower-plants \n\n#### Description\n\nThe Global Power Plant Database is a comprehensive, open source\ndatabase of power plants around the world. It centralizes\npower plant data to make it easier to navigate, compare and draw\ninsights. Each power plant is geolocated and entries contain\ninformation on plant capacity, generation, ownership, and fuel type.\nAs of June 2018, the database includes around 28,500 power plants\nfrom 164 countries.\nIt will be continuously updated as data becomes available.\n\nThe methodology for the dataset creation is given in the World Resources\nInstitute publication\n[\"A Global Database of Power Plants\"](https://www.wri.org/publication/global-power-plant-database).\n\nAssociated code for the creation of the dataset can be found on\n[GitHub](https://github.com/wri/global-power-plant-database).\nThe bleeding-edge version of the database (which may contain substantial\ndifferences from the release in Earth Engine) is available on GitHub as well.\n\nIf you use this dataset, the provider (WRI) has requested that you\n[register your use](https://goo.gl/ivTvkd) and (optionally)\nsign up to receive update notifications.\n\n### Table Schema\n\n**Table Schema**\n\n| Name | Type | Description |\n|------------|--------|-------------------------------------------------------------------------------------------------------|\n| country | STRING | 3-character country code corresponding to the ISO 3166-1 alpha-3 specs |\n| country_lg | STRING | Longer form of the country designation |\n| name | STRING | Name or title of the power plant, generally in Romanized form |\n| gppd_idnr | STRING | 10- or 12-character identifier for the power plant |\n| capacitymw | DOUBLE | Electrical generating capacity in megawatts |\n| latitude | DOUBLE | Geolocation in decimal degrees |\n| longitude | DOUBLE | Geolocation in decimal degrees |\n| fuel1 | STRING | Energy source used in electricity generation or export |\n| fuel2 | STRING | Energy source used in electricity generation or export |\n| fuel3 | STRING | Energy source used in electricity generation or export |\n| fuel4 | STRING | Energy source used in electricity generation or export |\n| comm_year | STRING | Year of plant operation, weighted by unit-capacity when data is available |\n| owner | STRING | Majority shareholder of the power plant, generally in Romanized form |\n| source | STRING | Entity reporting the data; could be an organization, report, or document, generally in Romanized form |\n| url | STRING | Web document corresponding to the \"source\" field |\n| src_latlon | STRING | Attribution for geolocation information |\n| cap_year | DOUBLE | Year the capacity information was reported |\n| gwh_2013 | DOUBLE | Electricity generation in gigawatt-hours reported for the year 2013 |\n| gwh_2014 | DOUBLE | Electricity generation in gigawatt-hours reported for the year 2014 |\n| gwh_2015 | DOUBLE | Electricity generation in gigawatt-hours reported for the year 2015 |\n| gwh_2016 | DOUBLE | Electricity generation in gigawatt-hours reported for the year 2016 |\n| gwh_estimt | DOUBLE | Estimated annual electricity generation in gigawatt-hours for the year 2015 |\n\n### Terms of Use\n\n**Terms of Use**\n\n[CC-BY-4.0](https://spdx.org/licenses/CC-BY-4.0.html)\n\n### Citations\n\nCitations:\n\n- Global Energy Observatory, Google, KTH Royal Institute of Technology in\n Stockholm, University of Groningen, World Resources Institute. 2018. Global\n Power Plant Database. Published on Resource Watch and Google Earth Engine;\n \u003chttps://resourcewatch.org/\u003e\n \u003chttps://earthengine.google.com/\u003e\n\n### Explore with Earth Engine\n\n| **Important:** Earth Engine is a platform for petabyte-scale scientific analysis and visualization of geospatial datasets, both for public benefit and for business and government users. Earth Engine is free to use for research, education, and nonprofit use. To get started, please [register for Earth Engine access.](https://console.cloud.google.com/earth-engine)\n\n### Code Editor (JavaScript)\n\n```javascript\n// Visualization for WRI/GPPD/power_plants\n\nvar table = ee.FeatureCollection('WRI/GPPD/power_plants');\n\n// Get a color from a fuel\nvar fuelColor = ee.Dictionary({\n 'Coal': '000000',\n 'Oil': '593704',\n 'Gas': 'bc80bd',\n 'Hydro': '0565A6',\n 'Nuclear': 'e31a1c',\n 'Solar': 'ff7f00',\n 'Waste': '6a3d9a',\n 'Wind': '5ca2d1',\n 'Geothermal': 'fdbf6f',\n 'Biomass': '229a00'\n});\n\n// List of fuels to add to the map\nvar fuels = [\n 'Coal', 'Oil', 'Gas', 'Hydro', 'Nuclear',\n 'Solar', 'Waste', 'Wind', 'Geothermal', 'Biomass'];\n\n/**\n * Computes size from capacity and color from fuel type.\n *\n * @param {!ee.Geometry.Point} pt A point\n * @return {!ee.Geometry.Point} Input point with added style dictionary.\n */\nfunction addStyle(pt) {\n var size = ee.Number(pt.get('capacitymw')).sqrt().divide(10).add(2);\n var color = fuelColor.get(pt.get('fuel1'));\n return pt.set(\n 'styleProperty', ee.Dictionary({'pointSize': size, 'color': color}));\n}\n\n// Make a FeatureCollection out of the power plant data table.\nvar pp = ee.FeatureCollection(table).map(addStyle);\nprint(pp.first());\n\n/**\n * Adds power plants of a certain fuel type to the map.\n *\n * @param {string} fuel A fuel type\n */\nfunction addLayer(fuel) {\n print(fuel);\n Map.addLayer(\n pp.filter(ee.Filter.eq('fuel1', fuel))\n .style({styleProperty: 'styleProperty', neighborhood: 50}),\n {}, fuel, true, 0.65);\n}\n\n// Apply `addLayer` to each record in `fuels`.\nfuelColor.keys().evaluate(function(fuelsList) {\n fuelsList.map(addLayer);\n});\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/WRI/WRI_GPPD_power_plants)\n\n### Visualize as a FeatureView\n\n\nA `FeatureView` is a view-only, accelerated representation of a\n`FeatureCollection`. For more details, visit the\n[`FeatureView` documentation.](/earth-engine/guides/featureview_overview)\n| **Important:** Earth Engine is a platform for petabyte-scale scientific analysis and visualization of geospatial datasets, both for public benefit and for business and government users. Earth Engine is free to use for research, education, and nonprofit use. To get started, please [register for Earth Engine access.](https://console.cloud.google.com/earth-engine)\n\n### Code Editor (JavaScript)\n\n```javascript\nvar fvLayer = ui.Map.FeatureViewLayer('WRI/GPPD/power_plants_FeatureView');\n\nvar visParams = {\n opacity: 0.65,\n color: {\n property: 'fuel1',\n categories: [\n ['Coal', '000000'],\n ['Oil', '593704'],\n ['Gas', 'bc80bd'],\n ['Hydro', '0565a6'],\n ['Nuclear', 'e31a1c'],\n ['Solar', 'ff7f00'],\n ['Waste', '6a3d9a'],\n ['Wind', '5ca2d1'],\n ['Geothermal', 'fdbf6f'],\n ['Biomass', '229a00']\n ],\n defaultValue: 'ffffff'\n },\n rules: [\n {\n filter: ee.Filter.expression('capacitymw \u003c 500'),\n pointSize: 5,\n },\n {\n filter: ee.Filter.expression('capacitymw \u003e= 500 AND capacitymw \u003c 1000'),\n pointSize: 10,\n },\n {\n filter: ee.Filter.expression('capacitymw \u003e= 1000'),\n pointSize: 15,\n }\n ]\n};\n\nfvLayer.setVisParams(visParams);\nfvLayer.setName('Power plant (fuel type and capacity)');\n\nMap.setCenter(16, 49, 4);\nMap.add(fvLayer);\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/WRI/WRI_GPPD_power_plants_FeatureView) \n[Global Power Plant Database](/earth-engine/datasets/catalog/WRI_GPPD_power_plants) \nThe 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. Each power plant is geolocated and entries contain information on plant capacity, generation, ownership, and fuel type. As ... \nWRI/GPPD/power_plants, infrastructure-boundaries,table,wri \n2018-06-11T00:00:00Z/2018-06-11T00:00:00Z \n-90 -180 90 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [](https://doi.org/https://datasets.wri.org/dataset/globalpowerplantdatabase)\n- [](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/WRI_GPPD_power_plants)"]]