Data

Offshore Wind Capacity Factor Map

Geoscience Australia
Commonwealth of Australia (Geoscience Australia)
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=https://pid.geoscience.gov.au/dataset/ga/146703&rft.title=Offshore Wind Capacity Factor Map&rft.identifier=https://pid.geoscience.gov.au/dataset/ga/146703&rft.publisher=Commonwealth of Australia (Geoscience Australia)&rft.description=Monash University under commission of Geoscience Australia produced an offshore wind capacity factor map assessed at a 150m hub height applying the Bureau of Meteorology 10 year (2009-2018) BARRA hindcast model. The wind capacity factor has been calculated using the bounding curve of all scaled power curves for wind turbines available within the Open Energy Platform as of 2021. Average wind capacity factor values were also calculated for the Vestas V126 3.45MW and the GE V130 3.2MW wind turbines.Maintenance and Update Frequency: notPlannedStatement: The Monash University project report (Offshore wind capacity factor maps - evaluating Australia's offshore wind resources potential) which is associated to this metadata record, details the method used to produce the offshore wind capacity factor maps. The method included geospatial alignment of the raw data, wind speed interpolation at 150m, calculation of the mean and standard deviation for hourly wind speeds at 150m from 2009 to 2018, the application of the methods of moments technique to calculate the shape and scale parameter of the wind Weibull distribution and calculation of a bounding curve for the power curves of wind turbines. The maximum offshore wind generation potential was calculated through the generation of a bounding curve for the currently, as of 2021, wind turbine power curves within the Open Energy Platform. The Weibull distribution parameters and the bounding curve were then combined to calculate the wind capacity factor values.Average wind capacity factor values were also calculated for the Vestas V126 3.45MW and the GE V130 3.2MW wind turbines.&rft.creator=Commonwealth of Australia (Geoscience Australia) &rft.date=2021&rft.coverage=westlimit=112.00; southlimit=-44.00; eastlimit=154.00; northlimit=-9.00; projection=WGS 84 / geographic 2D (EPSG: 4326)&rft.coverage=westlimit=112.00; southlimit=-44.00; eastlimit=154.00; northlimit=-9.00; projection=WGS 84 / geographic 2D (EPSG: 4326)&rft_rights= https://creativecommons.org/licenses/by/4.0/&rft_rights=Creative Commons Attribution 4.0 International Licence&rft_rights=CC-BY&rft_rights=4.0&rft_rights=Any&rft_rights=Any&rft_rights=© Commonwealth of Australia (Geoscience Australia) 2022&rft_rights=Australian Government Security Classification System&rft_rights=https://www.protectivesecurity.gov.au/Pages/default.aspx&rft_rights=WWW:LINK-1.0-http--link&rft_rights=Australian Government Security Classification System&rft_rights=Creative Commons Attribution 4.0 International Licence http://creativecommons.org/licenses/by/4.0&rft_subject=geoscientificInformation&rft_subject=Offshore wind resource&rft_subject=Wind generation capacity resource&rft_subject=Renewable energy&rft_subject=Wind energy&rft_subject=EARTH SCIENCES&rft_subject=Published_External&rft.type=dataset&rft.language=English Access the data
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© Commonwealth of Australia (Geoscience Australia) 2022

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Brief description

Monash University under commission of Geoscience Australia produced an offshore wind capacity factor map assessed at a 150m hub height applying the Bureau of Meteorology 10 year (2009-2018) BARRA hindcast model. The wind capacity factor has been calculated using the bounding curve of all scaled power curves for wind turbines available within the Open Energy Platform as of 2021. Average wind capacity factor values were also calculated for the Vestas V126 3.45MW and the GE V130 3.2MW wind turbines.

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Maintenance and Update Frequency: notPlanned
Statement:
The Monash University project report (Offshore wind capacity factor maps - evaluating Australia's offshore wind resources potential) which is associated to this metadata record, details the method used to produce the offshore wind capacity factor maps. The method included geospatial alignment of the raw data, wind speed interpolation at 150m, calculation of the mean and standard deviation for hourly wind speeds at 150m from 2009 to 2018, the application of the methods of moments technique to calculate the shape and scale parameter of the wind Weibull distribution and calculation of a bounding curve for the power curves of wind turbines.

The maximum offshore wind generation potential was calculated through the generation of a bounding curve for the currently, as of 2021, wind turbine power curves within the Open Energy Platform. The Weibull distribution parameters and the bounding curve were then combined to calculate the wind capacity factor values.

Average wind capacity factor values were also calculated for the Vestas V126 3.45MW and the GE V130 3.2MW wind turbines.

Notes

Purpose
The purpose is to support the identification of offshore wind resource magnitude which will constitute part of the assessment to develop offshore wind electricity generation projects.

Created: 20 12 2021

Issued: 22 06 2022

Data time period: 2021-12-15

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154,-9 154,-44 112,-44 112,-9 154,-9

133,-26.5

text: westlimit=112.00; southlimit=-44.00; eastlimit=154.00; northlimit=-9.00; projection=WGS 84 / geographic 2D (EPSG: 4326)

Subjects
EARTH SCIENCES | Offshore wind resource | Published_External | Renewable energy | Wind energy | Wind generation capacity resource | geoscientificInformation |

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