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Phase-resolved wave prediction in highly spread seas using optimised arrays of buoys
https://orcid.org/0000-0002-5686-2449
Abstract In many offshore operations, including the operation of wave energy converters, phase-resolved wave prediction is essential for safety and efficiency. However, for sea-states with large directional spreading angles, wave prediction becomes increasingly difficult. This study investigates the benefit of exploiting concurrent surface-displacement time histories measured by a buoy in three degrees of freedom (DoF) to facilitate prediction in such highly spread sea-states. A direct comparison is made with arrays of sensors measuring in a single DoF using the same formulation. The arrays considered are extensively optimised along with multiple sets of representative angles used to describe wave propagation, which is assumed to be normally distributed. The performance of the scheme is tested on a range of synthetically generated, realistic sea-states comprising single and crossing swells prevalent along the south coast of Australia. Additional tests involve wind-sea and swell waves described using Ewans models. Accurate predictions are obtained for times up to three wave periods into the future, in typical cases. With the multiple sets of optimal angles obtained for each optimal array, we further enhance the capability of the scheme by aggregating and averaging the different predictions from these sets. We observe a marked increase in both performance with large spreading and tolerance to possible variation in mean wave directions.
Highlights We propose an efficient and practical scheme for predicting highly spread waves. Optimal arrays and representative angles are obtained via an optimisation algorithm. Array size is reduced when measurements in 3 degrees of freedom are used from each buoy. It is possible to obtain multiple, frequency-independent representative angles for each array. Aggregating multiple predictions improves accuracy and expands the predictable zone.
Phase-resolved wave prediction in highly spread seas using optimised arrays of buoys
https://orcid.org/0000-0002-5686-2449
Abstract In many offshore operations, including the operation of wave energy converters, phase-resolved wave prediction is essential for safety and efficiency. However, for sea-states with large directional spreading angles, wave prediction becomes increasingly difficult. This study investigates the benefit of exploiting concurrent surface-displacement time histories measured by a buoy in three degrees of freedom (DoF) to facilitate prediction in such highly spread sea-states. A direct comparison is made with arrays of sensors measuring in a single DoF using the same formulation. The arrays considered are extensively optimised along with multiple sets of representative angles used to describe wave propagation, which is assumed to be normally distributed. The performance of the scheme is tested on a range of synthetically generated, realistic sea-states comprising single and crossing swells prevalent along the south coast of Australia. Additional tests involve wind-sea and swell waves described using Ewans models. Accurate predictions are obtained for times up to three wave periods into the future, in typical cases. With the multiple sets of optimal angles obtained for each optimal array, we further enhance the capability of the scheme by aggregating and averaging the different predictions from these sets. We observe a marked increase in both performance with large spreading and tolerance to possible variation in mean wave directions.
Highlights We propose an efficient and practical scheme for predicting highly spread waves. Optimal arrays and representative angles are obtained via an optimisation algorithm. Array size is reduced when measurements in 3 degrees of freedom are used from each buoy. It is possible to obtain multiple, frequency-independent representative angles for each array. Aggregating multiple predictions improves accuracy and expands the predictable zone.
Phase-resolved wave prediction in highly spread seas using optimised arrays of buoys
https://orcid.org/0000-0002-5686-2449
Abstract In many offshore operations, including the operation of wave energy converters, phase-resolved wave prediction is essential for safety and efficiency. However, for sea-states with large directional spreading angles, wave prediction becomes increasingly difficult. This study investigates the benefit of exploiting concurrent surface-displacement time histories measured by a buoy in three degrees of freedom (DoF) to facilitate prediction in such highly spread sea-states. A direct comparison is made with arrays of sensors measuring in a single DoF using the same formulation. The arrays considered are extensively optimised along with multiple sets of representative angles used to describe wave propagation, which is assumed to be normally distributed. The performance of the scheme is tested on a range of synthetically generated, realistic sea-states comprising single and crossing swells prevalent along the south coast of Australia. Additional tests involve wind-sea and swell waves described using Ewans models. Accurate predictions are obtained for times up to three wave periods into the future, in typical cases. With the multiple sets of optimal angles obtained for each optimal array, we further enhance the capability of the scheme by aggregating and averaging the different predictions from these sets. We observe a marked increase in both performance with large spreading and tolerance to possible variation in mean wave directions.
Highlights We propose an efficient and practical scheme for predicting highly spread waves. Optimal arrays and representative angles are obtained via an optimisation algorithm. Array size is reduced when measurements in 3 degrees of freedom are used from each buoy. It is possible to obtain multiple, frequency-independent representative angles for each array. Aggregating multiple predictions improves accuracy and expands the predictable zone.
Phase-resolved wave prediction in highly spread seas using optimised arrays of buoys
Hlophe, Thobani (author) / Taylor, Paul H. (author) / Kurniawan, Adi (author) / Orszaghova, Jana (author) / Wolgamot, Hugh (author)
Applied Ocean Research ; 130
2022-12-01
Article (Journal)
Electronic Resource
English
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