Global Power Plant Database, dünya genelindeki elektrik santrallerinin kapsamlı bir açık kaynak veritabanıdır. Geçişi, karşılaştırmayı ve analiz yapmayı kolaylaştırmak için santral verilerini merkezileştirir. Her bir santralin coğrafi konumu belirlenir ve girişlerde santral kapasitesi, üretim, sahiplik ve yakıt türü hakkında bilgiler yer alır.
Haziran 2018 itibarıyla veritabanında 164 ülkeden yaklaşık 28.500 santral yer almaktadır.
Veriler kullanıma sunuldukça bu sayfa sürekli olarak güncellenecektir.
Veri kümesi oluşturma metodolojisi, World Resources Institute'un "A Global Database of Power Plants" (Küresel Bir Enerji Santrali Veritabanı) yayınında verilmiştir.
Veri kümesinin oluşturulmasıyla ilgili kodu GitHub'da bulabilirsiniz.
Veritabanının en yeni sürümü (Earth Engine'deki sürümden önemli ölçüde farklılıklar içerebilir) GitHub'da da mevcuttur.
Bu veri kümesini kullanıyorsanız sağlayıcı (WRI), kullanımınızı kaydetmenizi ve (isteğe bağlı olarak) güncelleme bildirimleri almak için kaydolmanızı istemektedir.
Tablo Şeması
Tablo Şeması
Ad
Tür
Açıklama
country
Dize
ISO 3166-1 alfa-3 spesifikasyonlarına karşılık gelen 3 karakterli ülke kodu
country_lg
Dize
Ülke adının daha uzun biçimi
ad
Dize
Santralin adı veya başlığı (genellikle Latin alfabesine çevrilmiş biçimde)
gppd_idnr
Dize
Santralin 10 veya 12 karakterlik tanımlayıcısı
capacitymw
ÇİFT
Megavat cinsinden elektrik üretim kapasitesi
latitude
ÇİFT
Ondalık derece cinsinden coğrafi konum
longitude
ÇİFT
Ondalık derece cinsinden coğrafi konum
fuel1
Dize
Elektrik üretimi veya dışa aktarımında kullanılan enerji kaynağı
fuel2
Dize
Elektrik üretimi veya dışa aktarımında kullanılan enerji kaynağı
fuel3
Dize
Elektrik üretimi veya dışa aktarımında kullanılan enerji kaynağı
fuel4
Dize
Elektrik üretimi veya dışa aktarımında kullanılan enerji kaynağı
comm_year
Dize
Veriler mevcut olduğunda birim kapasitesine göre ağırlıklandırılmış tesis işletme yılı
sahibi
Dize
Genellikle Latin harfleriyle yazılmış şekilde, santralin çoğunluk hissedarı
kaynak
Dize
Verileri bildiren öğe; kuruluş, rapor veya doküman olabilir. Genellikle Latin harfleriyle yazılır.
url
Dize
"Kaynak" alanına karşılık gelen web belgesi
src_latlon
Dize
Coğrafi konum bilgileri için ilişkilendirme
cap_year
ÇİFT
Kapasite bilgilerinin bildirildiği yıl
gwh_2013
ÇİFT
2013 yılı için bildirilen gigavat saat cinsinden elektrik üretimi
gwh_2014
ÇİFT
2014 yılı için bildirilen gigavat saat cinsinden elektrik üretimi
gwh_2015
ÇİFT
2015 yılı için bildirilen gigavat saat cinsinden elektrik üretimi
gwh_2016
ÇİFT
2016 yılı için bildirilen gigavat saat cinsinden elektrik üretimi
gwh_estimt
ÇİFT
2015 yılı için gigavat saat cinsinden tahmini yıllık elektrik üretimi
Global Energy Observatory, Google, KTH Royal Institute of Technology in
Stockholm, University of Groningen, World Resources Institute. 2018. Global
Power Plant Database. Resource Watch ve Google Earth Engine'de yayınlanmıştır;
https://resourcewatch.org/https://earthengine.google.com/
FeatureView, FeatureCollection öğesinin salt görüntüleme amaçlı, hızlandırılmış bir gösterimidir. Daha fazla bilgi için
FeatureView dokümanlarını inceleyin.
Global Power Plant Database, dünya genelindeki elektrik santrallerinin kapsamlı bir açık kaynak veritabanıdır. Santral verilerini merkezileştirerek gezinmeyi, karşılaştırmayı ve analiz elde etmeyi kolaylaştırır. Her santralin coğrafi konumu belirlenir ve girişlerde santral kapasitesi, üretim, sahiplik ve yakıt türü hakkında bilgiler yer alır. As …
[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)"]]
