Offshore Wind Technical Potential in WBG Client Countries

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This record contains the tabular data (xlsx) and poster maps that accompanies the information provided in the the WBG report published in October 2019 titled,
"Going Global: Expanding Offshore Wind to Emerging Markets", linked below. Following on from the report, the same methodology was used to generate maps for all WBG client countries with a coastline and with offshore wind resource. Some regional maps (Caribbean Islands, Caspian Sea, Black Sea) were also generated. In some cases maps were generated to illustrate the absence of any resource, to support discussions with clients. All outputs arr published on the World Bank website and collated on the ESMAP website: https://esmap.org/offshore-wind.

This dataset contains tabular information on wind speed and water depth categories for floating and fixed offshore wind in WB client countries that have viable technical potential.

Links to the individual country PDF maps can also be accessed below.

Type: 
Other
Languages Supported: 
English
External Contact Email: 
Topics: 
Energy and Extractives
GP & CCSAs: 
Energy & Extractives
WB Project ID: 
P170090
Geographical Coverage: 
China
Fiji
Hong Kong SAR, China
Indonesia
Macao SAR, China
Myanmar
Papua New Guinea
Philippines
Vanuatu
Vietnam
Azerbaijan
Bulgaria
Kazakhstan
Poland
Romania
Russian Federation
Turkey
Turkmenistan
Ukraine
Antigua and Barbuda
Aruba
Argentina
Bahamas, The
Barbados
Brazil
British Virgin Islands
Cayman Islands
Chile
Costa Rica
Colombia
Cuba
Dominica
Dominican Republic
Ecuador
Grenada
Guatemala
Haiti
Honduras
Jamaica
Martinique
Mexico
Montserrat
Nicaragua
Peru
Puerto Rico
Sint Maarten (Dutch part)
St. Barthélemy
St. Kitts and Nevis
St. Martin (French part)
St. Lucia
St. Vincent and the Grenadines
Trinidad and Tobago
Turks and Caicos Islands
Uruguay
Venezuela, RB
Virgin Islands (U.S.)
Algeria
Egypt, Arab Rep.
Djibouti
Lebanon
Libya
Morocco
Tunisia
Yemen, Rep.
Bangladesh
India
Pakistan
Maldives
Sri Lanka
Eritrea
Madagascar
Mauritania
Mozambique
Namibia
Somalia
South Africa
Tanzania
Economy Coverage: 
IBRD
Number of Economies: 
77
Periodicity: 
Periodicity not specified
Release Date: 
April 12, 2020

Update Frequency

Update Frequency: 
No further updates planned
Access Options:
Download
Source Type: 
Source: 

Wind Speed data obtained from: https://globalwindatlas.info/
Water Depth (Bathymetry) data obtained from: https://www.gebco.net/data_and_products/gridded_bathymetry_data/

Statistical Concept and Methodology: 
For the presented analysis, the following open source datasets have been used: Annual mean wind speed: The wind speed at 100 m height, obtained from the Global Wind Atlas has a coverage of up to 200 km offshore Water depth: The water depth levels were obtained from the GEBCO gridded bathymetric dataset Economic exclusive zones: The EEZ boundaries were used for the delineation of the focus area for the geospatial analysis Thresholds: Dataset Value Threshold Details Wind speed > 7m/s Wind speeds above 7 m/s are assumed as optimal resources for offshore wind deployment Bathymetry 50 m–1,000 m Water depths between 50 and 1,000 m are considered suitable for floating foundations Resulting Areas > 10 km2 The resulting areas were further filtered by size, with areas covering a minimum of 10 km2 considered suitable for the installation of an offshore wind farm The geospatial analysis is comprised of five main operations: 1. Clipping of all layers to the Economic Exclusive Zones: The analysis is relevant only within the EEZ borders, so the first step is clipping the Wind Speed and the Water Depth datasets to the maritime territory of each country. 2. Subset the main datasets per threshold values: For the potential calculation, it was important to divide the water depth into 2 categories: above 50 meters depth, considered optimal for fixed foundations and 50–1,000 m, where floating wind can be considered. In parallel, the wind speed dataset was filtered for values greater than or equal to 7m/s. 3. Subtract the wind speed for each water depth category: Once the water depth categories that correspond to fixed and floating technical potential have been created, these are used as a mask for extracting the wind speed values within two classes of wind speeds (1) wind speeds between 7–8 m/s and (2) wind speeds > 8 m/s. These two classes are important for planning the turbine type as well as power generation potential. 4. Remove resulting areas smaller than 10 km2: It has been assumed that each opportunity zone must have a minimum area of 10 km2 to be considered suitable for offshore wind deployment; therefore areas smaller than 10 km2 have been removed from the analysis. 5. Compute the technical potential for the suitable zones: The technical potential for each opportunity zone has been computed by assuming a density of 3 MW per km2 for wind speeds between 7–8 m/s and 4 MW per km2 for wind speeds greater than 8 m/s. Results: Going Global : Expanding Offshore Wind To Emerging Markets: http://documents.worldbank.org/curated/en/716891572457609829/Going-Global-Expanding-Offshore-Wind-To-Emerging-Markets
Unit of measure: 

GW

Time Periods: 
April, 2020

No Visualizations Available.

This record contains the tabular data (xlsx) and poster maps that accompanies the information provided in the the WBG report published in October 2019 titled,
"Going Global: Expanding Offshore Wind to Emerging Markets", linked below. Following on from the report, the same methodology was used to generate maps for all WBG client countries with a coastline and with offshore wind resource. Some regional maps (Caribbean Islands, Caspian Sea, Black Sea) were also generated. In some cases maps were generated to illustrate the absence of any resource, to support discussions with clients. All outputs arr published on the World Bank website and collated on the ESMAP website: https://esmap.org/offshore-wind.

This dataset contains tabular information on wind speed and water depth categories for floating and fixed offshore wind in WB client countries that have viable technical potential.

Links to the individual country PDF maps can also be accessed below.

FieldValue
Modified Date
2020-05-05
Release Date
Periodicity
Identifier
49b7b469-aefa-4897-81af-096e168677eb
License
License Not Specified
Contact Email
Public Access Level
Public
Rating: 
0
No votes yet
Type: 
Languages Supported: 
Time Periods: 
April, 2020
Publication Place: 
https://www.esmap.org/offshore-wind
Economy Coverage: 
GP & CCSAs: 
Number of Economies: 
77
Update Frequency: 
Data Classification of a Dataset: 
WB Project ID: 
P170090
Source Type: 
IEE
Programatic Region: 
Release Date: 
Sunday, April 12, 2020
Unit of measure: 
GW
External Contact Email: 
Statistical Concept and Methodology: 
For the presented analysis, the following open source datasets have been used: Annual mean wind speed: The wind speed at 100 m height, obtained from the Global Wind Atlas has a coverage of up to 200 km offshore Water depth: The water depth levels were obtained from the GEBCO gridded bathymetric dataset Economic exclusive zones: The EEZ boundaries were used for the delineation of the focus area for the geospatial analysis Thresholds: Dataset Value Threshold Details Wind speed > 7m/s Wind speeds above 7 m/s are assumed as optimal resources for offshore wind deployment Bathymetry 50 m–1,000 m Water depths between 50 and 1,000 m are considered suitable for floating foundations Resulting Areas > 10 km2 The resulting areas were further filtered by size, with areas covering a minimum of 10 km2 considered suitable for the installation of an offshore wind farm The geospatial analysis is comprised of five main operations: 1. Clipping of all layers to the Economic Exclusive Zones: The analysis is relevant only within the EEZ borders, so the first step is clipping the Wind Speed and the Water Depth datasets to the maritime territory of each country. 2. Subset the main datasets per threshold values: For the potential calculation, it was important to divide the water depth into 2 categories: above 50 meters depth, considered optimal for fixed foundations and 50–1,000 m, where floating wind can be considered. In parallel, the wind speed dataset was filtered for values greater than or equal to 7m/s. 3. Subtract the wind speed for each water depth category: Once the water depth categories that correspond to fixed and floating technical potential have been created, these are used as a mask for extracting the wind speed values within two classes of wind speeds (1) wind speeds between 7–8 m/s and (2) wind speeds > 8 m/s. These two classes are important for planning the turbine type as well as power generation potential. 4. Remove resulting areas smaller than 10 km2: It has been assumed that each opportunity zone must have a minimum area of 10 km2 to be considered suitable for offshore wind deployment; therefore areas smaller than 10 km2 have been removed from the analysis. 5. Compute the technical potential for the suitable zones: The technical potential for each opportunity zone has been computed by assuming a density of 3 MW per km2 for wind speeds between 7–8 m/s and 4 MW per km2 for wind speeds greater than 8 m/s. Results: Going Global : Expanding Offshore Wind To Emerging Markets: http://documents.worldbank.org/curated/en/716891572457609829/Going-Global-Expanding-Offshore-Wind-To-Emerging-Markets
Modified date: 
96
Primary Dataset: 
Yes
Source: 

Wind Speed data obtained from: https://globalwindatlas.info/
Water Depth (Bathymetry) data obtained from: https://www.gebco.net/data_and_products/gridded_bathymetry_data/

Data Access and Licensing

This dataset is classified as Public under the Access to Information Classification Policy. Users inside and outside the Bank can access this dataset.

This dataset is licensed under CC-BY 4.0

CC-BY 4.0

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