Optimised Wave-by-Wave Prediction of Spread Waves: Comparison With Field Data

Research output: Chapter in Book/Conference paperConference paperpeer-review

Abstract

Real-time forecasting of ocean surface waves can be beneficial for many offshore operations such as ship navigation, load mitigation on floating offshore wind turbines, and control of wave energy converters. This study validates a linear, algebraic prediction model for sea states with large directional spreading. The model decomposes observed time histories using a Fourier transform to obtain an approximate representation of the wave field using a small number of directional components. Pre-processing involves the partial removal of nonlinear harmonics by a bandpass filter followed by the attachment of a NewWave-type signal at each end of each record. The model is tested using field data measured using a small array of wave buoys deployed in the Southern Ocean off Albany, Western Australia. It shows good agreement between prediction and target time series. Aggregating and weight-averaging multiple predictions obtained with different sets of optimal representative directions improves the quality of prediction. Based on the linear propagation of representative directional Fourier components, the model is relatively robust to the presence of (unfilterable) higher harmonics and fast enough for real-time predictions.
Original languageEnglish
Title of host publicationProceedings of the ASME 2023 42nd International Conference on Ocean, Offshore and Arctic Engineering
Place of PublicationUSA
PublisherASME International
Number of pages8
Volume5
ISBN (Electronic)9780791886878
ISBN (Print)978-0-7918-8687-8
DOIs
Publication statusPublished - 22 Sept 2023
EventASME 2023 42nd International Conference on Ocean, Offshore and Arctic Engineering - Melbourne Convention and Exhibition Centre, Melbourne, Australia
Duration: 11 Jun 202316 Jun 2023
https://event.asme.org/OMAE-(1)

Publication series

NameProceedings of the International Conference on Offshore Mechanics and Arctic Engineering - OMAE
Volume5

Conference

ConferenceASME 2023 42nd International Conference on Ocean, Offshore and Arctic Engineering
Abbreviated titleOMAE 2023
Country/TerritoryAustralia
CityMelbourne
Period11/06/2316/06/23
Internet address

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