Health-aware control augmentation for wave energy converters using a reliability metric

Wave energy is free, but conversion to electricity comes at a price; control technology is often viewed as an effective way to reduce the conversion cost. Nevertheless, traditional energy-maximising controllers for wave energy converters (WECs) often exaggerate device motion, which can shorten device longevity and increase operational expenses (OpEx), by increasing the number of maintenance intervals. This paper proposes a novel health-aware WEC control structure to achieve a suitable trade-off between energy maximisation and power take-off (PTO) lifetime enhancement, ultimately leading to a lower levelised cost of energy (LCoE). The proposed control structure, in contrast to conventional energy-maximising WEC control structures, utilises previous control input information to achieve a trade-off between energy maximisation and PTO lifetime enhancement objectives. Due to the learning strategy from past control information, the need to redesign the nominal (energy-maximising WEC) controller can be avoided when designing a health-aware control law (i.e., the method is nominal controller-independent), resulting in a simple and effective control algorithm, thereby saving computational resources. Simulation results demonstrate the effectiveness of the proposed controller in achieving a trade-off between captured energy and PTO lifetime.

Authors

Institutions

Publication Details

Journal
Proceedings of the ... European Wave and Tidal Energy Conference
Published
2025-09-08
DOI
https://doi.org/10.36688/ewtec-2025-853
Primary Topic
Wave and Wind Energy Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Health-aware control augmentation for wave energy converters using a reliability metric

Hafiz Ahsan Said, John Vincent Ringwood, Amin Ziaei
Proceedings of the ... European Wave and Tidal Energy Conference
Wave and Wind Energy Systems
article

Health-aware control augmentation for wave energy converters using a reliability metric

Hafiz Ahsan Said, John Vincent Ringwood, Amin Ziaei
article en

Abstract

Wave energy is free, but conversion to electricity comes at a price; control technology is often viewed as an effective way to reduce the conversion cost. Nevertheless, traditional energy-maximising controllers for wave energy converters (WECs) often exaggerate device motion, which can shorten device longevity and increase operational expenses (OpEx), by increasing the number of maintenance intervals. This paper proposes a novel health-aware WEC control structure to achieve a suitable trade-off between energy maximisation and power take-off (PTO) lifetime enhancement, ultimately leading to a lower levelised cost of energy (LCoE). The proposed control structure, in contrast to conventional energy-maximising WEC control structures, utilises previous control input information to achieve a trade-off between energy maximisation and PTO lifetime enhancement objectives. Due to the learning strategy from past control information, the need to redesign the nominal (energy-maximising WEC) controller can be avoided when designing a health-aware control law (i.e., the method is nominal controller-independent), resulting in a simple and effective control algorithm, thereby saving computational resources. Simulation results demonstrate the effectiveness of the proposed controller in achieving a trade-off between captured energy and PTO lifetime.

Proceedings of the ... European Wave and Tidal Energy ConferenceVol. 16
National University of Ireland, Maynooth (IE)
Openalex Percentile: Top 50%
Wave and Wind Energy Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.