New Generation Modelling Suite for the Survivability of Wave Energy Convertors in Marine Environments (WavE-Suite)
Lead Research Organisation:
City St George’s, University of London
Department Name: Sch of Engineering and Mathematical Sci
Abstract
Although there is a long history of research of wave energy convertors (WECs), there are still many challenges that make it difficult to develop effective, reliable and economically viable WECs. One of the challenges is the lack of robust modelling tools to assess survivability of WECs under extreme marine environments that cause extreme loads and large responses. Survivability of WECs needs to be concerned not only in the design stage but also when operational to maximise the amount of harnessed energy and minimise the risk of damage. To assess and analyse the survivability of WECs, one must identify survival conditions, quantify loadings and responses of WECs and characterise the pressure and velocity field of WECs under survival conditions. Identification of survival conditions for WECs requires not only the consideration of severe storms but also of loads and responses of WECs in shorter steep seas, which is different from that for other offshore structures that may just need to consider severe storms giving the largest wave heights. High precision quantification of loadings and responses of WECs must consider wave breaking and viscosity, which will provide dominate factors for conceptual design and to determine if the device needs to be shut down. Characterisation of the pressure and velocity fields of WECs needs to resolve two-phase flow with vortex structures to sufficient detail, which will provide information for structural and components design. In addition, as the waves in the survival conditions are highly nonlinear, they must be simulated for a long propagating duration in a large domain to allow them to sufficiently evolve. Therefore, the numerical modelling tools for analysing WEC survivability should have the capability of dealing with breaking waves and two-phase flow and accurately estimating the effect of viscosity in turbulent states. In the meantime, the tools must be fast enough so that engineers can simulate the cases within practical time-scales for design.
Many numerical models with various levels of accuracy and efficiency exist, but none of them can adequately deal with the extreme conditions found in practice. Some models are phase-averaged, being computationally efficient but not sufficiently accurate. Some models are phased-resolved, based either on the potential theory or the viscous theory. The most advanced potential models are fully nonlinear and much faster than viscous models, but could not deal with wave breaking and turbulence which always occurs for WECs. The viscous models can theoretically deal with the physical phenomena but are generally very computationally expensive, perhaps also suffering from unwanted numerical dissipation. This project will develop a novel numerical modelling suite by combining different models and by proposing new numerical approaches and machine learning techniques, which will be more accurate and require less computational effort. The modelling suite will be able to automatically go up to fully nonlinear simulations and down to linear simulations depending on the level of nonlinearity of waves and their interaction with the WECs. The new modelling suite will be validated by data measured from WEC models in the laboratory and real devices at sea, and will be applied to assess the parameters relevant to the survivability and reliability of WECs.
During the project, an advisory board will be set up to give the suggestions on specific research topics, and regular project meetings/workshops will be held to attract the interests of WECs stakeholders and disseminate the research outcomes. Our project partners will be invited to be a member of the advisory board and to attend or contribute to the meetings/workshops. Databases for different types of WECs will be created during this project, which will be accessible by general public.
Many numerical models with various levels of accuracy and efficiency exist, but none of them can adequately deal with the extreme conditions found in practice. Some models are phase-averaged, being computationally efficient but not sufficiently accurate. Some models are phased-resolved, based either on the potential theory or the viscous theory. The most advanced potential models are fully nonlinear and much faster than viscous models, but could not deal with wave breaking and turbulence which always occurs for WECs. The viscous models can theoretically deal with the physical phenomena but are generally very computationally expensive, perhaps also suffering from unwanted numerical dissipation. This project will develop a novel numerical modelling suite by combining different models and by proposing new numerical approaches and machine learning techniques, which will be more accurate and require less computational effort. The modelling suite will be able to automatically go up to fully nonlinear simulations and down to linear simulations depending on the level of nonlinearity of waves and their interaction with the WECs. The new modelling suite will be validated by data measured from WEC models in the laboratory and real devices at sea, and will be applied to assess the parameters relevant to the survivability and reliability of WECs.
During the project, an advisory board will be set up to give the suggestions on specific research topics, and regular project meetings/workshops will be held to attract the interests of WECs stakeholders and disseminate the research outcomes. Our project partners will be invited to be a member of the advisory board and to attend or contribute to the meetings/workshops. Databases for different types of WECs will be created during this project, which will be accessible by general public.
Organisations
- City St George’s, University of London (Lead Research Organisation)
- Mocean Energy Ltd (Project Partner)
- Indian Institute of Technology Madras (Project Partner)
- Shanghai Jiao Tong University (Project Partner)
- LOC Group (London Offshore Consultants) (Project Partner)
- Biscay Marine Energy Platform (Project Partner)
- CorPower Ocean AB (Project Partner)
- Guangzhou Institute of Energy Conversion (Project Partner)
Publications
Buizza C
(2022)
Data Learning: Integrating Data Assimilation and Machine Learning
in Journal of Computational Science
Chen B
(2024)
Solving the discretised multiphase flow equations with interface capturing on structured grids using machine learning libraries
in Computer Methods in Applied Mechanics and Engineering
Chen B
(2025)
Solving the discretised shallow water equations using neural networks
in Advances in Water Resources
Chen Y
(2025)
A double-layer non-hydrostatic model for simulating wave-structure and wave-jet interactions
in Journal of Computational Physics
Chen Y
(2025)
Coupling of non-hydrostatic model with unresolved point-particle model for simulating particle-laden free surface flows
in Applied Mathematical Modelling
Cheng S
(2023)
Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review
in IEEE/CAA Journal of Automatica Sinica
Cheng S
(2022)
Generalised Latent Assimilation in Heterogeneous Reduced Spaces with Machine Learning Surrogate Models
in Journal of Scientific Computing
Ding H
(2025)
Nonlinear hydroelastic responses of a submerged horizontal plate under focused wave conditions: A cumulative fatigue perspective
in Physics of Fluids
| Description | Multimodel multiscale numerical tool (Wave-suite) with machine learning for eddy viscosity and for solving pressure equations were validated against experimental data for 3 wave energy convertors. Other findings: Used data from simple cases to train ML for modelling more complex cases. ML can significantly accelerate the simulation. With the ML, the mesh can be coarser and time step can be longer. Instability of Co-Power may occur, affected by nonlinearity and eddy viscosity. WEC farms around them affects wave fields significantly. |
| Exploitation Route | The software developed in this project may be used by wave energy developers. The findings may inform other researchers to explore the potential of machine learning. |
| Sectors | Aerospace Defence and Marine Education Energy Transport |
| Description | High End Computing Consortium for Wave Structure Interaction HEC WSI |
| Amount | £355,960 (GBP) |
| Funding ID | EP/X035751/1 |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 01/2023 |
| End | 01/2027 |
| Title | GNN machine learning model for solving pressure equation in fluid dynamics |
| Description | In computational fluid dynamics, it is required to solve the equations for pressure, which is most computationally intensive part. The GNN model has been proved to be much more computationally efficient than traditional method. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2024 |
| Provided To Others? | Yes |
| Impact | The algorithm has been published on two journal papers. Interest has been attracted by indication of citation. |
| Description | 2nd project workshop held online |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | This workshop was organised online. World-wide researchers working on offshore renewable energy attended it. We also invited Prof. Qing Xiao, who lead another project of wave energy programme, report the progress of the project her is leading. |
| Year(s) Of Engagement Activity | 2023 |
| Description | 33rd International Ocean and Polar Engineering Conference (ISOPE 2023) |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | This is 34th International Ocean and Polar Engineering Conference (ISOPE 2024) attended by academia and industry professional from all over the world. Qingwei Ma invited to give a Keynote ; and two others from City made a presentation each. |
| Year(s) Of Engagement Activity | 2023,2024 |
| Description | Attending Supergen ORE Hub Autumn Assembly |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | This is Supergen ORE Hub Autumn Assembly. Qingwei Ma was invited to give a presentation on the project progress and to participate grouping discussions about the challenges of offshore renewable energy. Co-I, Prof. J Zang, Prof. S Yan, Prof.Venki Venugopal , Dr. Z Xie and RAs working this projects also attend the meeting |
| Year(s) Of Engagement Activity | 2023 |
| Description | Attending Supergen ORE Hub Autumn Assembly |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | This is Supergen ORE Hub Autumn Assembly. Qingwei Ma was invited to give a presentation on the project progress and to participate grouping discussions about the challenges of offshore renewable energy. |
| Year(s) Of Engagement Activity | 2022 |
| Description | Attending Supergen ORE Hub Autumn Assembly 2024, Plymouth |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | This is Supergen ORE Hub Autumn Assembly. Qingwei Ma was invited to participate grouping discussions about the challenges of offshore. |
| Year(s) Of Engagement Activity | 2024 |
| Description | European Wave and Tidal Energy Conference (EWTEC2023) |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The 15th European Wave and Tidal Energy Conference (EWTEC2023), 3rd - 7th September 2023 in Bilbao, Spain. Prof. Venki Venugopal make a presentation. Qingwei Ma attended the conference and have discussions and meetings with industrial project partners (CorPower, Mocean and BiMEP). One RA also attended this conference. Prof. Venki Venugopal and RA visited the site of OWC facility of BiMEP. Qingwei Ma visited the Marine Energy Platform of BiMEP in Biscay. |
| Year(s) Of Engagement Activity | 2023 |
| Description | International Ocean and Polar Engineering Conference (ISOPE 2023) |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | This is 33rd International Ocean and Polar Engineering Conference (ISOPE 2023) attended by academician and industry professional from all over the world. Qingwei Ma made three presentation on behalf of the team. |
| Year(s) Of Engagement Activity | 2023 |
| Description | International forum on offshore renewable energy |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The forum discussed the state of art of ORE and prospects of ORE. Qingwei Ma was invited to make keynote presentation. |
| Year(s) Of Engagement Activity | 2023 |
| Description | Project Workshop held online |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | This workshop was organised online. World-wide researchers working on offshore renewable energy attended it. Presentations were made on each of Workpackages of this project. In addition, one industry in the wave energy made a presentation as well. |
| Year(s) Of Engagement Activity | 2022 |
| Description | Wave Energy Workshop |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Qingwei Ma made presentation on the achievments of this project; Jun Zang attended as a team member. |
| Year(s) Of Engagement Activity | 2025 |
