Data

Australian Wave Energy Atlas - Garden Island Case Study Numerical Wave Modelling

Commonwealth Scientific and Industrial Research Organisation
Hoeke, Ron ; Contardo, Stephanie ; Hemer, Mark ; O'Grady, Julian
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.4225/08/59a4a54eae290&rft.title=Australian Wave Energy Atlas - Garden Island Case Study Numerical Wave Modelling&rft.identifier=https://doi.org/10.4225/08/59a4a54eae290&rft.publisher=Commonwealth Scientific and Industrial Research Organisation&rft.description=CSIRO Oceans and Atmosphere conducted an intensive field program between Dec 2014 and Feb 2016 to assess the physical wave-current-morphodynamic response of wave energy extraction at Carnegie Clean Energy's Perth Wave Energy Project, located near Garden Island near Perth. For this study, a total of five oceanographic instrument deployments were undertaken. To support this field program, a series of numerical simulations using a phase-averaged wave model capable of including of wave energy converters (WECs).\nThe numerical model used is the Sandia National Laboraties SWaN model (SNL-SWAN v1.0, http://snl-waterpower.github.io/SNL-SWAN/)\nSets of model simulations are available over each instrument deployments; however these data sets are the gridded bulk statistics \nThe last AWAC deployment (deployment 5) occurred following the recovery of all WEC units. The AWACs were deployed in the same configuration as the previous deployment and this deployment acts as a control experiment to determine the natural variability of the wave field across the site.\nFor deployments 1-4 bulk wave statistics significant wave height, mean wave direction, smoothed peak period and directional spreading of the waves.\nThis work was funded by the Australian Renewable Energy Agency and CSIRO Oceans and Atmosphere, and Carnegie Clean Energy provided access to site.\nLineage: The numerical model used is the Sandia National Laboraties SWaN model (SNL-SWAN v1.0, http://snl-waterpower.github.io/SNL-SWAN/) was used to estimate the coastal wave field with and without Wave Energy Converters (WECs) during five in situ instrument deployments.&rft.creator=Hoeke, Ron &rft.creator=Contardo, Stephanie &rft.creator=Hemer, Mark &rft.creator=O'Grady, Julian &rft.date=2017&rft.edition=v1&rft.coverage=westlimit=115.5207; southlimit=-32.4105; eastlimit=115.7462; northlimit=-32.0674; projection=WGS84&rft_rights=CSIRO Data Licence https://research.csiro.au/dap/licences/csiro-data-licence/&rft_rights=Data is accessible online and may be reused in accordance with licence conditions&rft_rights=All Rights (including copyright) CSIRO 2017.&rft_subject=Oceans | Ocean Waves | Wave Spectra | Significant Wave Height | Wave Period | Wave direction | Wave Energy | Wave energy converter | Australia | Western Australia | Garden Island&rft_subject=Physical oceanography&rft_subject=Oceanography&rft_subject=EARTH SCIENCES&rft_subject=Electrical energy generation (incl. renewables, excl. photovoltaics)&rft_subject=Electrical engineering&rft_subject=ENGINEERING&rft_subject=Ocean engineering&rft_subject=Maritime engineering&rft.type=dataset&rft.language=English Access the data

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CSIRO Oceans and Atmosphere conducted an intensive field program between Dec 2014 and Feb 2016 to assess the physical wave-current-morphodynamic response of wave energy extraction at Carnegie Clean Energy's Perth Wave Energy Project, located near Garden Island near Perth. For this study, a total of five oceanographic instrument deployments were undertaken. To support this field program, a series of numerical simulations using a phase-averaged wave model capable of including of wave energy converters (WECs).
The numerical model used is the Sandia National Laboraties SWaN model (SNL-SWAN v1.0, http://snl-waterpower.github.io/SNL-SWAN/)
Sets of model simulations are available over each instrument deployments; however these data sets are the gridded bulk statistics
The last AWAC deployment (deployment 5) occurred following the recovery of all WEC units. The AWACs were deployed in the same configuration as the previous deployment and this deployment acts as a control experiment to determine the natural variability of the wave field across the site.
For deployments 1-4 bulk wave statistics significant wave height, mean wave direction, smoothed peak period and directional spreading of the waves.
This work was funded by the Australian Renewable Energy Agency and CSIRO Oceans and Atmosphere, and Carnegie Clean Energy provided access to site.
Lineage: The numerical model used is the Sandia National Laboraties SWaN model (SNL-SWAN v1.0, http://snl-waterpower.github.io/SNL-SWAN/) was used to estimate the coastal wave field with and without Wave Energy Converters (WECs) during five in situ instrument deployments.

Available: 2017-08-29

Data time period: 2014-11-01 to 2016-02-01

This dataset is part of a larger collection

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115.7462,-32.0674 115.7462,-32.4105 115.5207,-32.4105 115.5207,-32.0674 115.7462,-32.0674

115.63345,-32.23895