We run repeatable scenarios to verify robustness, uncover edge cases, and iterate faster, supporting safer behaviour before deployment.
VPP / PPP / Simulator
We combine high-fidelity modelling and dynamic simulation to forecast power demand, efficiency, and on-water behavior for both sailing and commercial vessels. The result is decision-ready insights that help teams tune design and operations with confidence. Improving stability, control, and efficiency.
At CH we’ve developed a state-of-the-art Power Performance Prediction (PPP) methodology that integrates full-scale 3D RANS CFD simulations with advanced sampling and response surface modeling techniques to enable fast and accurate performance evaluations. The workflow is complemented by a suite of in-house tools for polar generation and route optimization, allowing accurate ship performance evaluation under real operating conditions.
Learn more about how to accurately predict the performance of wind-assisted ship propulsion systems, and CH high fidelity methodology:
We use design of experiments sampling and surrogate models to map the design space efficiently, with full-scale RANS CFD as the aero-hydrodynamic reference.
CFD results feed our PPP tool to generate vessel-specific polars and power demand, accounting for trim optimisation and key interaction effects across onboard systems and deck layout.
We embed these polars into a weather-routing solver using ERA5 data and graph-based optimisation to identify routes that minimise fuel consumption under wind and wave conditions.
We integrate dynamic simulator capabilities in our workflows to replicates real-world vessel behaviour to evaluate stability, control, and response in complex operating conditions. Building on our expertise in foiling dynamics and advanced control systems, we simulate manoeuvres, sea states, and system interactions, helping teams validate control strategies and tune actuators. With hardware-in-the-loop capability, the simulator becomes a development and verification tool for mechatronics and autonomy, bridging digital design and on-water performance.
We simulate vessel response across sea states and manoeuvres to assess handling, stability margins, and operational behaviour before on-water testing.
We accelerate control-loop development from sensors to actuators, using hardware-in-the-loop testing to validate real components safely and reduce integration risk.
We run repeatable scenarios to verify robustness, uncover edge cases, and iterate faster, supporting safer behaviour before deployment.
At CH we use our own high-fidelity Velocity Prediction Program (VPP) to quantify sailing performance across the full operating envelope. By combining high fidelity aerodynamic and hydrodynamic modelling, we generate reliable polars, assess design trade-offs, and support fast iteration during concept and design development. The workflow can be extended with optimisation loops to refine appendages, sail plans, and stability targets. Delivering performance insight that translates directly into design decisions.
We generate configuration-specific polars that capture the real performance of the yacht across wind range, sail plans, and operating modes.
We assess equilibrium, stability, and trim to ensure realistic predictions and inform decisions on righting moment, appendages, and sail-carrying power.
We compare hull/appendage packages, sail plans, and weight distributions using consistent metrics to reveal which changes deliver measurable gains.
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