The primary challenge addressed by this project is the absence of standardized, scientifically reliable tools capable of predicting and comparing the performance of Wind-Assisted Ship Propulsion (WASP) technologies at vessel level. Current practices rely heavily on simplified analytical approaches that cannot capture aerodynamic interactions, coupling effects, sea state penalties, or operational routing variability. The goal of Tool4WASP is to establish a robust, multi-fidelity reference workflow — from high-fidelity physics to fast surrogate evaluations — enabling reliable power performance predictions that support regulatory compliance, competitive benchmarking and investment decision-making.
Tool4WASP integrates full-scale 3D RANS CFD simulations, smart DOE sampling strategies and response surface modelling into a unified Power Performance Prediction (PPP) pipeline. High-fidelity numerical results are used to train multi-fidelity models capable of predicting forces and performance across large parametric design spaces. Vessel polars are generated via 6DoF equilibrium solvers and then embedded into route optimization routines using graph-based algorithms to evaluate performance along realistic operational routes. This methodology ensures that aero-hydrodynamic interactions, sea state effects and configuration sensitivities are consistently captured throughout the prediction chain.
The resulting tool suite provides a scientific framework capable of supporting technology developers, shipowners, certification bodies and regulators with credible performance metrics, including direct quantification of CII and ROI impacts. By bridging high-fidelity physics with computationally efficient surrogate models, Tool4WASP enables rapid trade-off evaluations and reduces uncertainty in investment-grade decision processes. This multi-fidelity pipeline sets the foundation for future industrial standardization of WASP performance evaluation and supports the digital twin roadmap for decarbonised maritime transport.
30% more efficient sport yacht developed with Bluegame / Sanlorenzo.
Simulation for optimization and validation of WASP ships with different methods.
Preliminary design of a highly modular unmanned surface vehicle (USV).
During the 33rd America’s Cup cycle, Mario Caponnetto contributed to hydrodynamic assessment workstreams aligned with the BMW Oracle wing-sail platform, the configuration that ultimately won the Match. This milestone marked the shift toward aero-hydrodynamic integration in Cup design culture.
BMW Oracle Racing
America’s Cup / Aero-Hydro Integration / Performance Engineering
In 2021, Caponnetto Hueber led the CFD, foil design, and hydrodynamic engineering for the AC75 of Luna Rossa Challenge, the eventual Prada Cup winner. We deployed multiscale CFD and aero-hydro coupling to ensure optimum lift and control. Rapid iteration delivered performance gains under tight competition timelines.
Luna Rossa Challenge
Racing Concept / CFD / Foil Design