Aerodynamic Performance and Layout Optimisation of Symmetrically Cambered Wing Sails for Wind-Assisted Ship Propulsion
Licentiate thesis, 2026
The first study develops a surrogate-based Bayesian optimisation method to reduce reliance on costly CFD simulations. A Gaussian Process surrogate model uses prediction uncertainty to guide the search for maximum average thrust over apparent wind angles from 10o to 150o. A hybrid parametrisation enables flexible aerofoil geometry variation. The optimised configuration has a more uniform thickness distribution and achieves an 8% thrust increase over the D2R10 benchmark, validated by high-fidelity IDDES.
The second study investigates the aerodynamic interference in multi-sail layouts using a two-dimensional inviscid method. Two configurations are considered: a triple in-line and a quad-sail parallel layout. Under a fixed total spacing, optimisation yields only limited performance improvements. The in-line layout experiences thrust losses of up to 6% compared to isolated sails. The parallel layout exhibits larger reductions ranging from 10% to 28%. These findings indicate that aerodynamic interference significantly affects multi-sail performance.
This thesis develops a Bayesian optimisation framework for multi-fidelity wing sail design. It shows how using a fast lower-fidelity solver can deliver measurable 3D aerofoil performance gains. The new parametrisation enables broad shape variation, revealing how geometric characteristics affect thrust. The framework also identifies trends and limitations in different layout configurations. These results provide insights to guide future wing sail design strategies.
wing-assisted ship propulsion
rigid wing sail
Aerodynamics
machine learning
multi-point optimisation
installation layout
Author
Stephan van Reen
Chalmers, Mechanics and Maritime Sciences (M2), Marine Technology
Reducing Aerodynamic Interference Through Layout Optimization of Symmetrically Cambered Wingsails: A Comparative Study of In-Line and Parallel Configurations
Journal of Marine Science and Engineering,;Vol. 13(2025)
Journal article
Machine learning-based multipoint optimisation for improving aerodynamics of symmetrically cambered wing sails in wind-assisted ship propulsion
Ocean Engineering,;Vol. 342(2025)
Journal article
Aerodynamic Optimization of In-line and Parallel Layouts for symmetric Cambered Wingsail installation
Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering - OMAE,;Vol. 3(2025)
Paper in proceeding
GEneric Multidiscaplinary optimization for sail INstallation on wInd-assisted ships (GEMINI)
Swedish Transport Administration (2023/32107), 2023-09-01 -- 2026-08-31.
Subject Categories (SSIF 2025)
Fluid Mechanics
Marine Engineering
Vehicle and Aerospace Engineering
Publisher
Chalmers