Projects per year
Abstract
The power take-off (PTO) system and control laws for wave energy converters (WECs) are crucial for system performance. Determining optimal PTO parameters based on different sea states is key for formulating control laws, identifying optimal WEC locations, and optimizing wave-to-wire performance. This study focuses on an oscillating water column (OWC) type WEC developed by Waves4Power using a buoy and piston in a water tube to generate hydraulic pressure in an accumulator tank for an electric generator. For 78 different sea states, optimal generator parameters maximizing electrical output are identified using waves simulated from Pierson-Moskowitz (PM) spectra and a Simulink model, including non-linear PTO effects. Results show a strong dependency between optimal generator speed and sea state, suggesting control laws based on sea state can enhance energy production. Wave steepness is the most important characteristic, hence four representative sea states based on their steepness are used to illustrate results.
Original language | English |
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Title of host publication | Innovations in Renewable Energies Offshore |
Subtitle of host publication | Proceedings of the 6th International Conference on Renewable Energies Offshore, RENEW 2024 |
Editors | Carlos Guedes Soares, Shan Wang |
Publisher | CRC Press/Balkema |
Pages | 551-558 |
Number of pages | 8 |
ISBN (Electronic) | 9781003558859 |
ISBN (Print) | 9781032905570 |
DOIs | |
Publication status | Published - 2025 |
Event | 6th International Conference on Renewable Energies Offshore, RENEW 2024 - Lisbon, Portugal Duration: 2024 Nov 19 → 2024 Nov 21 |
Conference
Conference | 6th International Conference on Renewable Energies Offshore, RENEW 2024 |
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Country/Territory | Portugal |
City | Lisbon |
Period | 2024/11/19 → 2024/11/21 |
Subject classification (UKÄ)
- Marine Engineering (including Ocean and River Engineering)
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Dive into the research topics of 'The effects of sea-state on optimal generator parameters for a wave energy converter'. Together they form a unique fingerprint.Projects
- 1 Finished
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Statistical modelling of wave powerplants
Zeinali, S. (Researcher), Wiktorsson, M. (Assistant supervisor) & Lindström, J. (Supervisor)
2022/01/10 → 2024/09/01
Project: Research