GASP Global

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Spatial Coverage of the GASP-Global datasets.

Introduction

"GASP Global" is short for "GASP 1.0 - Global of Atlas of Siting Parameters". It is a global atlas dataset with the following key features:

  • Global 250m wind resources, siting parameters & turbine design classification
  • Builds on GWA3.0 and other sources
  • A joint project by EMD and DTU

Dataset Overview

  • Spatial coverage:
    • Near global (all land areas from N80 to S58)
    • Offshore areas are covered up to 200 km from the coastline
  • Resolution:
    • Horizontal: 250m in grid resolution
    • Vertical: 50m, 100m and 150m as vertical levels
  • Data-type: Atlas
  • Coordinate system: Geographical coordinates (EPSG: 4326) in original data
  • Version: 1.0

Availability from within EMD software

  • windPRO: Click 'Data' -> 'Siting parameters (GASP etc)' to access the download tool. Data is loaded into a result layer with a .siteres file acting as the data-container.
  • windPROSPECTING: GASP data is available through the data-tab named 'Site-prospecting'. Free access to windPROSPECTING - here.
  • EMD-API: Read more at the dedicated wiki-page for our Global Atlas Data Services - here. If you are accessing the GASP data from within the EMD-API, you will use the parameter group-names in order to request specific data-packages [resource-omni, resource-sector, siting-extremes, siting-fatigue-omni, siting-fatigue-sector, turbine-fatigue, turbine-fatigue-recommend, turbine-extreme, turbine-extreme-recommend].

Parameters and Dimensions

As seen from the tables below, a very wide range of omnidirectional and sectorwise parameters are available from the Global Atlas of Siting Parameters (GASP). These parameters have been divided into four main categories:

  1. Wind Resources / Atmospheric Parameters
  2. Siting Parameters – Fatigue
  3. Siting Parameters – Extremes
  4. Turbine Design Classification - with recommended turbine class

The tables below provides an overview of all parameters available and at which dimensions that they are available. We have used the following dimensions for the GASP parameters: The first four (longitude, latitude, height and sector) are used for the basic parameters; the last three (ws_class, iec_class and turbine_component) are used for the turbine design classification - and are releated to the IEC61400-1 code and the aeroelastic load model. Please note that not all dimensions are relevant or used for every GASP parameter.

Table: List of dimensions in GASP data.
Dimension Abbreviation Unit Range
longitude lon deg 180 to -180
latitude lat deg 90 to -90
height h m 50,100,150
sector s deg 0,30,...,330
ws_class wcl I,II,III,T
iec_class iecc IA+, IA,...IIIC
turbine_component tc 0,1,2,3

Parameters: Wind Resources

The two tables below show the GASP parameters for wind resources data, given omnidirectional data [resource-omni] and sectorwise data [resource-sector].

Table: Resource / Atmospheric Omni-directional Parameters [resource-omni]
Variable Description Unit Dimensions
weib_A Wind distribution: A (Scale) parameter in Weibull distribution m/s lon, lat, h
weib_k Wind distribution: k (shape) parameter in Weibull distribution lon, lat, h
wsp Wind speed - annual average m/s lon, lat, h
wpd Wind power density – annual average W/m2 lon, lat, h
air_dens Air density (annual mean/average) kg/m3 lon, lat, h
Table: Resource / Atmospheric Sector-wise Parameters [resource-sector]
Variable Description Unit Dimensions
weib_A Wind distribution: A (Scale) parameter in Weibull distribution m/s lon, lat, h, s
weib_k Wind distribution: k (shape) parameter in Weibull distribution lon, lat, h, s
sector_freq Wind distribution: Sector frequency lon, lat, h, s
wsp Wind speed - annual average m/s lon, lat, h, s
wpd Wind power density – annual average W/m2 lon, lat, h, s
air_dens Air density (annual mean/average) kg/m3 lon, lat, h
elevation Air density (annual mean/average) kg/m3 lon, lat, h

Parameters: Siting Classification - Wind Extremes

The table below shows the GASP parameters for the extreme event data [siting-extremes]. Please note that this extreme data is only available as omnidirectional parameters.

Table: Siting Parameters – Extremes [siting-extremes]
Variable Description Unit Dimensions
air_dens_p98 Air density at 98th percentile of wind speed kg/m3 lon, lat, h
wsp_50yr 50yr extreme wind speed: Average m/s lon, lat, h
gumbel_alpha 50yr extreme wind speed: Gumbel distribution – alpha parameter m/s lon, lat, h
gumbel_beta 50yr extreme wind speed: Gumbel distribution – beta parameter m/s lon, lat, h

Parameters: Siting Classification - Wind Fatigue Parameters

The two tables below show the GASP parameters for the siting-fatigue parameters - given either omnidirectional or sectorwise data-requests [siting-fatigue-omni, siting-fatigue-sector].

Table: Siting Parameters Omnidirectional – Fatigue [siting-fatigue-omni]
Variable Description Unit Dimensions
shear_exp Wind shear exponent (calculated using LINCOM model) - Mean lon, lat, h
flow_inc Flow inclination (calculated using LINCOM model) deg lon, lat, h
terrain_ic Terrain complexity as defined in IEC 61400-1 standard (ed 4) lon, lat, h
sigma_P90A Turbulence slope parameter from IEC 61400-1 (ed4) – P90 lon, lat, h
sigma_P90B Turbulence offset parameter from IEC 61400-1 (ed4) – P90 m/s lon, lat, h
sigma_P90U15 Turbulence P90 at a fixed windspeed of 15 m/s m/s lon, lat, h
air_dens Air density (annual mean/average) kg/m3 lon, lat, h
Table: Siting Parameters – Fatigue [siting-fatigue-sector]
Variable Description Unit Dimensions
shear_exp Wind shear exponent (calculated using LINCOM model) - Mean lon, lat, h, s
flow_inc Flow inclination (calculated using LINCOM model) deg lon, lat, h, s
sigma_meanA Turbulence slope parameter from IEC 61400-1 (ed4) – Mean m/s lon, lat, h, s
sigma_meanB Turbulence offset parameter from IEC 61400-1 (ed4) – Mean m/s lon, lat, h, s
sigma_P90A Turbulence slope parameter from IEC 61400-1 (ed4) – P90 lon, lat, h, s
sigma_P90B Turbulence offset parameter from IEC 61400-1 (ed4) – P90 m/s lon, lat, h, s

License and Attribution

The data is available throguth a Creative commons 4.0 by attribution license (CC BY 4.0).
Please accept the license conditions and use a proper attribution when using this dataset, such as:

GASP 1.0, by EMD and DTU, is a free dataset accessible via windprospecting.com, windPRO and EMD-API.

Acknowledgement

  • Develoment and integration of this dataset into EMD services was done through the GASP project which is co-funded by the EUDP and the Danish Energy Agency

External Links

  • GASP Project Home-Page at DTU - here