Eco Wave Power launches digital twin R&D with AI engineering to model wave floater performance
WAVE•NVIDIA tools in the workflow
NVIDIA Omniverse will support Digital Twin workflows; NVIDIA Warp will be used in the simulation and modeling toolchain.
Validation and forecasting goals
Simulated outputs will be validated against sensor data to support machine-learning forecasts for energy yield and system loads.
Digital Twin transferability across locations targets faster system optimization, improved forecasting, and more scalable deployment as projects move toward megawatt scale.
R&D agreement to build digital twin platform
Eco Wave Power entered an R&D agreement with Germany’s AI engineering to build a physics- and data-driven Digital Twin platform.
Phase 1 models wave interaction with proprietary floaters to assess structural loads, floater behavior, and theoretical energy input across sea states.
