System-level Co-design and Control of Large Capacity Wave Energy Converters with Multiple PTOs
Lead Research Organisation:
The University of Manchester
Department Name: Electrical and Electronic Engineering
Abstract
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Publications

Apsley J
(2023)
Integrated hydrodynamic-electrical hardware model for wave energy conversion with M4 ocean demonstrator
in Proceedings of the European Wave and Tidal Energy Conference

Draycott S
(2022)
The numerical re-creation of experimentally generated nonlinear irregular wave fields using a time-reversal approach
in Applied Ocean Research

Liao Z
(2024)
A Sea-State-Dependent Control Strategy for Wave Energy Converters: Power Limiting in Large Wave Conditions and Energy Maximising in Moderate Wave Conditions
in IEEE Transactions on Sustainable Energy

Zhan S
(2023)
A Fast Model Predictive Control Framework for Multi-Float and Multi-Mode-Motion Wave Energy Converters
in IEEE Transactions on Control Systems Technology
Description | Stated objectives were: i) Establish a generic wave-to-wire model for a reconfigurable multi-float multi-power take-off wave energy converter. ii) Develop the deterministic sea wave prediction (DSWP) technique for real sea conditions. iii) Develop a hierarchical optimal control framework based on the W2W model of i) and the Multi-DSWP technique of ii) to maximize energy output, optimally regulate shutdown and improve power quality. iv) Develop a co-design procedure by integrating the control of iii) into the W2W WEC design. v) Design and build up a reconfigurable W2W test-rig with multiple PTOs for fast and economic dry testing of control strategies and co-design results. vi) Implement simulations using the data through a whole year's sea conditions, based on the control and the co-design result validated in v), to investigate the lowest annualized levelized cost of energy. The electrical & hydraulics team at Manchester is directly responsible for the delivery of (i) and (v), is collaborating with Exeter on (ii), and with the control team on supporting (iii), (iv) and (vi). Task (i) is complete; platform models have been verified in tank tests and electrical models have been validated in dry tests. The collaboration for task (ii) is ongoing. Manchester has supported tasks (ii) and (iv) and (vi), supplying reduced-order computationally-efficient electrical models (now published) and analytical sizing tools. One channel of the dry test rig has been fully commissioned and used to generate results for publications. The second has been recently completed to allow experimental validation of control for multi-directional waves and with multiple floats. The third channel is still under construction. The research has identified that effective power-limiting control in high sea-states is important for overall cost of energy and has proposed a new sea-state dependent control strategy (published). The electrical & hydraulics team contributed strategies to protect the generator and gearbox in high sea states to this work. |
Exploitation Route | The most promising applications of wave power short-term would be in aquaculture (see partnership with UWA and Blue Horizon) or in combination with offshore wind. |
Sectors | Agriculture Food and Drink Energy |
Title | Computationally efficient reduced-order models of power take-off components |
Description | Reduced order models of power-take-off components for wave generation, that preserve low-frequency behaviour (0.1 s update rate) for system level model predictive control and design optimisation. Conventional models require 50 us update rate. Relevant to other renewable energy sources such as wind. |
Type Of Material | Computer model/algorithm |
Year Produced | 2023 |
Provided To Others? | Yes |
Impact | Reduces computation times from hours to minutes enabling progress on the co-design and control aspects of this project. |
Description | Seeding Marine Innovation in WA with a Wave Energy Deployment in Albany |
Organisation | University of Western Australia |
Country | Australia |
Sector | Academic/University |
PI Contribution | Advising on electrical drive train design and integration and instrumentation. |
Collaborator Contribution | The wave energy converter concept was developed by project partner M4 Ltd. |
Impact | One joint publication. Deployment is currently at the dry test stage. Future outputs would be in the form of deployment data and societal impact. |
Start Year | 2022 |
Description | A presentation of the project progress in EPSRC ORE Supergen Annual Assembly |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Industry/Business |
Results and Impact | Prof Guang Li gave a talk to update the progress of the project, the latest results and future plan in the one-day ORE Supergen Annual Assembly held in Southampton. Our team also engaged with the event actively and met academic colleagues and industrial partners during the event. |
Year(s) Of Engagement Activity | 2023 |
URL | https://nf-pogo-alumni.org/opportunities/meetings-opportunities/020623-6/ |
Description | Poster presentation to Supergen ORE Hub Autumn Assembly Oxford, by project PDRA XZ |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Study participants or study members |
Results and Impact | Poster presentation to inform UK wave energy community about activities, engage in discussions with the hydrodynamics and marine energy researchers and exchange views on aspects relating to the power take-off and electrical interfaces. Researcher development. |
Year(s) Of Engagement Activity | 2022 |
URL | https://supergen-ore.net/news-and-events/supergen-ore-hub-autumn-assembly |