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Google Earth Engine(GEE)——全球电厂数据库2016年


 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。

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/

Google Earth Engine(GEE)——全球电厂数据库2016年_全球

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)

Google Earth Engine(GEE)——全球电厂数据库2016年_数据集_02

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);

Sample Code: https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-POWERPLANT-DATABASE

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

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