Efficient real-time deterministic wave prediction for marine renewable energy

Thobani Hlophe

doi:10.26182/t850-y895

Efficient real-time deterministic wave prediction for marine renewable energy

Thobani Hlophe

Research output: Thesis › Doctoral Thesis

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Abstract

The thesis is aimed at developing phase-resolved prediction models for ocean surface waves. The models run in real-time on a standard personal computer. Such models can be used to improve the performance of wave power machines, by allowing adjustment of the power-take-off based on the future knowledge of the wave field, typically a few tens of seconds. It can also be used for optimising various other offshore operations and for recreation. The models have been validated using laboratory data from a tank as well as field measurements from wave buoys deployed in the Southern Ocean at Sandpatch, Albany, Western Australia.

Original language	English
Qualification	Doctor of Philosophy
Awarding Institution	The University of Western Australia
Supervisors/Advisors	Orszaghova, Jana, Supervisor Wolgamot, Hugh, Supervisor Draper, Scott, Supervisor Kurniawan, Adi, Supervisor Taylor, Paul, Supervisor
Award date	26 Jun 2023
DOIs	https://doi.org/10.26182/t850-y895
Publication status	Unpublished - 2023

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THESIS - DOCTOR OF PHILOSOPHY - HLOPHE Thobani - 2023
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Cite this

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abstract = "The thesis is aimed at developing phase-resolved prediction models for ocean surface waves. The models run in real-time on a standard personal computer. Such models can be used to improve the performance of wave power machines, by allowing adjustment of the power-take-off based on the future knowledge of the wave field, typically a few tens of seconds. It can also be used for optimising various other offshore operations and for recreation. The models have been validated using laboratory data from a tank as well as field measurements from wave buoys deployed in the Southern Ocean at Sandpatch, Albany, Western Australia.",

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AB - The thesis is aimed at developing phase-resolved prediction models for ocean surface waves. The models run in real-time on a standard personal computer. Such models can be used to improve the performance of wave power machines, by allowing adjustment of the power-take-off based on the future knowledge of the wave field, typically a few tens of seconds. It can also be used for optimising various other offshore operations and for recreation. The models have been validated using laboratory data from a tank as well as field measurements from wave buoys deployed in the Southern Ocean at Sandpatch, Albany, Western Australia.

KW - Wave prediction

KW - Wave energy

KW - NewWave

KW - Weakly nonlinear

KW - Spreading angle

KW - Wave buoy

KW - Inverse-variance weighting

KW - Fourier transform

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DO - 10.26182/t850-y895

M3 - Doctoral Thesis

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Efficient real-time deterministic wave prediction for marine renewable energy

Abstract

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