全球电厂数据库
发布版本: 1.3, 发布日期: 2021-06-02¶
全球电厂数据库是一个开源的开放性数据集,包括在世界各地运行的电网规模(1兆瓦及以上)发电设施。前言 – 床长人工智能教程
该数据库目前包含167个国家的近35000个电厂,占世界发电量的72%。条目仅在设施层面,一般定义为单一的输电网络连接点。目前还没有发电单元层面的信息。
创建数据集的方法在世界资源研究所的出版物《全球电厂数据库》中给出。
创建该数据集的相关代码可以在GitHub上找到。https://gee-community-catalog.org/projects/pwplants/www.wri.org/publication/global-power-plant-database
https://github.com/wri/global-power-plant-database
也可参见2020年初发布的关于改进的年发电量估算方法的技术说明。
你可以在以下网站找到该数据集和相关细节
Estimating Power Plant Generation in the Global Power Plant Database | World Resources Institute
Global Power Plant Database - Datasets - Data | World Resources Institute
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/
SNo | Property Key | GEE Property Key | Field Description |
---|---|---|---|
1 | country | country | 3 character country code corresponding to the ISO 3166-1 alpha-3 specification |
2 | country_long | country_long | longer form of the country designation |
3 | name | name | name or title of the power plant, generally in Romanized form |
4 | gppd_idnr | gppd_idnr | 10 or 12 character identifier for the power plant |
5 | capacity_mw | capacity_mw | electrical generating capacity in megawatts |
6 | primary_fuel | primary_fuel | energy source used in primary electricity generation or export |
7 | other_fuel1 | other_fuel1 | energy source used in electricity generation or export |
8 | other_fuel2 | other_fuel2 | energy source used in electricity generation or export |
9 | other_fuel3 | other_fuel3 | energy source used in electricity generation or export |
10 | commissioning_year | cm_yr | year of plant operation, weighted by unit-capacity when data is available |
11 | owner | owner | majority shareholder of the power plant, generally in Romanized form |
12 | source | source | entity reporting the data; could be an organization, report, or document, generally in Romanized form |
13 | url | url | web document corresponding to the source field |
14 | geolocation_source | geo_source | attribution for geolocation information |
15 | wepp_id | wepp_id | a reference to a unique plant identifier in the widely-used PLATTS-WEPP database. |
16 | year_of_capacity_data | yr_capacity | year the capacity information was reported |
17 | generation_gwh_2013 | gen_gwh2013 | electricity generation in gigawatt-hours reported for the year 2013 |
18 | generation_gwh_2014 | gen_gwh2014 | electricity generation in gigawatt-hours reported for the year 2014 |
19 | generation_gwh_2015 | gen_gwh2015 | electricity generation in gigawatt-hours reported for the year 2015 |
20 | generation_gwh_2016 | gen_gwh2016 | electricity generation in gigawatt-hours reported for the year 2016 |
21 | generation_gwh_2017 | gen_gwh2017 | electricity generation in gigawatt-hours reported for the year 2017 |
22 | generation_gwh_2018 | gen_gwh2018 | electricity generation in gigawatt-hours reported for the year 2018 |
23 | generation_gwh_2019 | gen_gwh2019 | electricity generation in gigawatt-hours reported for the year 2019 |
24 | generation_data_source | gen_dat_src | attribution for the reported generation information |
25 | estimated_generation_gwh_2013 | est_gen_gwh2013 | estimated electricity generation in gigawatt-hours for the year 2013 (see [2]) |
26 | estimated_generation_gwh_2014 | est_gen_gwh2014 | estimated electricity generation in gigawatt-hours for the year 2014 (see [2]) |
27 | estimated_generation_gwh_2015 | est_gen_gwh2015 | estimated electricity generation in gigawatt-hours for the year 2015 (see [2]) |
28 | estimated_generation_gwh_2016 | est_gen_gwh2016 | estimated electricity generation in gigawatt-hours for the year 2016 (see [2]) |
29 | estimated_generation_gwh_2017 | est_gen_gwh2017 | estimated electricity generation in gigawatt-hours for the year 2017 (see [2]) |
30 | estimated_generation_note_2013 | est_gen_nt2013 | label of the model/method used to estimate generation for the year 2013 (see section on this field below) |
31 | estimated_generation_note_2014 | est_gen_nt2014 | label of the model/method used to estimate generation for the year 2014 (see section on this field below) |
32 | estimated_generation_note_2015 | est_gen_nt2015 | label of the model/method used to estimate generation for the year 2015 (see section on this field below) |
33 | estimated_generation_note_2016 | est_gen_nt2016 | label of the model/method used to estimate generation for the year 2016 (see section on this field below) |
34 | estimated_generation_note_2017 | est_gen_nt2017 | label of the model/method used to estimate generation for the year 2017 (see section on this field below) |
Earth Engine Snippet¶
var global_power_plants = ee.FeatureCollection("projects/sat-io/open-datasets/global_power_plant_DB_1-3")
// Visualization for WRI/GPPD/power_plants
var table = ee.FeatureCollection("projects/sat-io/open-datasets/global_power_plant_DB_1-3");
// Get a color from a fuel
var fuelColor = ee.Dictionary({
'Coal': '000000',
'Oil': '593704',
'Gas': 'BC80BD',
'Hydro': '0565A6',
'Nuclear': 'E31A1C',
'Solar': 'FF7F00',
'Waste': '6A3D9A',
'Wind': '5CA2D1',
'Geothermal': 'FDBF6F',
'Biomass': '229A00'
});
// List of fuels to add to the map
var fuels = ['Coal', 'Oil', 'Gas', 'Hydro', 'Nuclear', 'Solar', 'Waste',
'Wind', 'Geothermal', 'Biomass'];
/**
* Computes size from capacity and color from fuel type.
*
* @param {!ee.Geometry.Point} pt A point
* @return {!ee.Geometry.Point} Input point with added style dictionary.
*/
function addStyle(pt) {
var size = ee.Number(pt.get('capacity_mw')).sqrt().divide(10).add(2);
var color = fuelColor.get(pt.get('primary_fuel'));
return pt.set('styleProperty', ee.Dictionary({'pointSize': size, 'color': color}));
}
// Make a FeatureCollection out of the power plant data table
var pp = ee.FeatureCollection(table).map(addStyle);
print(pp.first());
/**
* Adds power plants of a certain fuel type to the map.
*
* @param {string} fuel A fuel type
*/
function addLayer(fuel) {
print(fuel);
Map.addLayer(pp.filter(ee.Filter.eq('primary_fuel', fuel)).style({styleProperty: 'styleProperty', neighborhood: 50}), {}, fuel, true, 0.65);
}
// Apply `addLayer` to each record in `fuels`
fuelColor.keys().getInfo().map(addLayer);
License¶
The Global Power Planet Database is available under a CC BY 4.0 license
Data download page: Download v1.3 from here
Dataset created by: World Resources Institute
Curated in GEE by: Samapriya Roy
Keywords: : infrastructure, energy, climate, power, power-plants, wri
Last updated: 2021-07-16
Note: Older version of this dataset is available in GEE and might be updated to reflect in the public catalog