The Impact of Wave Prediction Uncertainty on the Control of a Multi-Axis Wave Energy Converter
As global energy demands and climate concerns continue to grow, the need for renewable energy is becoming increasingly clear and wave energy converter (WEC) systems are receiving growing interest. WECs often utilize optimal control techniques for power take-off operation and leverage a prediction o...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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European Wave and Tidal Energy Conference
2025-06-01
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| Series: | International Marine Energy Journal |
| Subjects: | |
| Online Access: | https://marineenergyjournal.org/imej/article/view/211 |
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| _version_ | 1850218943439962112 |
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| author | Carrie Hall Yueqi Wu Igor Rizaev Wanan Sheng Robert Dorrell George Aggidis |
| author_facet | Carrie Hall Yueqi Wu Igor Rizaev Wanan Sheng Robert Dorrell George Aggidis |
| author_sort | Carrie Hall |
| collection | DOAJ |
| description |
As global energy demands and climate concerns continue to grow, the need for renewable energy is becoming increasingly clear and wave energy converter (WEC) systems are receiving growing interest. WECs often utilize optimal control techniques for power take-off operation and leverage a prediction of the upcoming wave force to ensure power production optimization. Prior work has clearly demonstrated that high power production can be achieved when an exact system model is used and the upcoming wave conditions are known, but uncertainty in the underlying model or the wave prediction can degrade performance. The uncertainty in these predictions and the model could degrade the WEC’s power output. This work examines the impact of uncertainty on the control of a WEC system that leverages machine learning to predict wave forces over the upcoming time horizon. This paper quantifies wave prediction uncertainty and its seasonal variation and illustrates that this uncertainty may only minimally degrade power output on complex multi-axis WECs due to the strong influence of constraints in the system.
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| format | Article |
| id | doaj-art-44973be2e5b74a5aab7be53160d3fc9d |
| institution | OA Journals |
| issn | 2631-5548 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | European Wave and Tidal Energy Conference |
| record_format | Article |
| series | International Marine Energy Journal |
| spelling | doaj-art-44973be2e5b74a5aab7be53160d3fc9d2025-08-20T02:07:32ZengEuropean Wave and Tidal Energy ConferenceInternational Marine Energy Journal2631-55482025-06-018110.36688/imej.8.65-72The Impact of Wave Prediction Uncertainty on the Control of a Multi-Axis Wave Energy ConverterCarrie Hall0Yueqi WuIgor RizaevWanan ShengRobert DorrellGeorge AggidisIllinois Institute of Technology As global energy demands and climate concerns continue to grow, the need for renewable energy is becoming increasingly clear and wave energy converter (WEC) systems are receiving growing interest. WECs often utilize optimal control techniques for power take-off operation and leverage a prediction of the upcoming wave force to ensure power production optimization. Prior work has clearly demonstrated that high power production can be achieved when an exact system model is used and the upcoming wave conditions are known, but uncertainty in the underlying model or the wave prediction can degrade performance. The uncertainty in these predictions and the model could degrade the WEC’s power output. This work examines the impact of uncertainty on the control of a WEC system that leverages machine learning to predict wave forces over the upcoming time horizon. This paper quantifies wave prediction uncertainty and its seasonal variation and illustrates that this uncertainty may only minimally degrade power output on complex multi-axis WECs due to the strong influence of constraints in the system. https://marineenergyjournal.org/imej/article/view/211wave energy convertermachine learningwave predictionmodel predictive control |
| spellingShingle | Carrie Hall Yueqi Wu Igor Rizaev Wanan Sheng Robert Dorrell George Aggidis The Impact of Wave Prediction Uncertainty on the Control of a Multi-Axis Wave Energy Converter International Marine Energy Journal wave energy converter machine learning wave prediction model predictive control |
| title | The Impact of Wave Prediction Uncertainty on the Control of a Multi-Axis Wave Energy Converter |
| title_full | The Impact of Wave Prediction Uncertainty on the Control of a Multi-Axis Wave Energy Converter |
| title_fullStr | The Impact of Wave Prediction Uncertainty on the Control of a Multi-Axis Wave Energy Converter |
| title_full_unstemmed | The Impact of Wave Prediction Uncertainty on the Control of a Multi-Axis Wave Energy Converter |
| title_short | The Impact of Wave Prediction Uncertainty on the Control of a Multi-Axis Wave Energy Converter |
| title_sort | impact of wave prediction uncertainty on the control of a multi axis wave energy converter |
| topic | wave energy converter machine learning wave prediction model predictive control |
| url | https://marineenergyjournal.org/imej/article/view/211 |
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