Numerical frameworks for simulations of wave energy converter systems: power performance and mooring fatigue analysis in wave energy parks
Doctoral thesis, 2025
This thesis focuses on the simulation of three point-absorber WEC concepts with different working principles and the wave parks they compose. The primary aim was to develop accurate numerical models and generalised numerical frameworks for the respective WECs and wave parks and analyse their power performance and mooring fatigue damage, two key factors that need to be assessed before wave parks can be commercialised on a large scale.
This thesis contributes to WEC numerical modelling by proposing two numerical frameworks, the DNV SESAM framework and the FMI-based (Functional Mock-up Interface-based) co-simulation framework. The numerical framework refers to the computational structure for modelling WEC systems, in which several numerical methods are integrated to simulate coupled subsystems. The DNV SESAM framework can model WEC systems with some inevitable simplifications in the subsystem models in an integrated software environment. The FMI-based co-simulation framework facilitates convenient coupling between separated solvers and tools without programming and shows great potential for fast inter-team model integration in real industrial applications.
The subsystems of WECs, such as mechanical joint connections and power take-off (PTO) systems, were modelled in detail, thanks to the flexible coupling feature of the proposed FMI-based co-simulation framework. It was found that the fidelity of the subsystem models directly impacts the accuracy of the power performance and mooring fatigue damage predictions, particularly under environmental conditions (ECs) where simplified models cannot capture the nonlinearity introduced by the subsystem. This highlights the necessity of modelling the exact working principles of all subsystems to ensure accurate numerical results.
Various wave parks were modelled and simulated under different ECs. Their power performance and mooring fatigue damage were compared and analysed in detail. The results demonstrate the scope and capabilities of the proposed numerical frameworks, providing valuable insights for modelling and simulating wave parks with different WEC prototypes.
interaction effects
power performance
mooring fatigue damage
DNV SESAM
wave park
FMI-based co-simulation
wave energy converter (WEC)
Author
Xinyuan Shao
Chalmers, Mechanics and Maritime Sciences (M2), Marine Technology
Performance analysis of two generations of heaving point absorber WECs in farms of hexagon-shaped array layouts
Ships and Offshore Structures,;Vol. 19(2024)p. 687-698
Journal article
A comparison of two wave energy converters’ power performance and mooring fatigue characteristics – One WEC vs many WECs in a wave park with interaction effects
Journal of Ocean Engineering and Science,;Vol. 8(2023)p. 446-460
Journal article
Hydrodynamic interactions and enhanced energy harnessing amongst many WEC units in large-size wave parks
Journal of Marine Science and Engineering,;Vol. 12(2024)
Journal article
An FMI-based co-simulation framework for simulations of wave energy converter systems
Energy Conversion and Management,;Vol. 323(2025)
Journal article
Integrating detailed power take-off system models in wave energy converter simulations using an FMI-based co-simulation approach
Ocean Engineering,;Vol. 335(2025)
Journal article
INTERACT - Analysis of array systems of wave energy converters with regard to interaction effects in the LCOE and fatigue analyses
Swedish Energy Agency (2019-026869), 2020-09-01 -- 2022-11-30.
Enhancing Shared mOoring systeM design for flOating Offshore wind faRms (ESOMOOR)
Swedish Energy Agency (P2024-02902), 2024-12-01 -- 2027-12-13.
Control of wave energy converters based on wave measurements, for optimal energy absorption (WAVEMEASURE)
Swedish Energy Agency (50197-1), 2020-09-01 -- 2023-03-31.
Driving Forces
Sustainable development
Subject Categories (SSIF 2025)
Fluid Mechanics
Marine Engineering
Applied Mechanics
Areas of Advance
Energy
Infrastructure
C3SE (-2020, Chalmers Centre for Computational Science and Engineering)
ISBN
978-91-8103-240-6
Doktorsavhandlingar vid Chalmers tekniska högskola. Ny serie: 5698
Publisher
Chalmers
HA1, Hörsalar HA, Chalmers
Opponent: Prof. Philipp Thies, College of Engineering, Mathematics and Physical Sciences, University of Exeter, United Kingdom