Rapid Aerodynamic Method for Interacting Sails
Licentiate thesis, 2023
The proposed method was evaluated in two validation studies; in the first study, validation data was obtained via CFD simulations and in the second via wind tunnel tests. The WPS test case consisted of multiple wingsails.
The results showed that the interaction model improved the prediction considerably compared to when interaction was not accounted for. The interaction affected the generated total driving force and especially the moment, which was well predicted by the method. The angle sweep studies indicated that the method could predict the maximum driving force and the stall angles of the sails with acceptable accuracy. Compared to 3D CFD simulations or wind tunnel testing the computational cost of the method was negligible.
This thesis concludes that the proposed rapid method is a suitable complement to more costly high-fidelity tools. Its ability to predict how the forces and moments change due to sail–sail interaction effects is important because it impacts the overall performance of the ship. Future work will include further validation studies for different WPS configurations, evaluation of possible method improvements and investigations on how to implement of the method in the ship design process.
wingsail
wind-assisted propulsion
sail–sail interaction
lifting line method
wind propulsion system
Author
Karolina Malmek
Chalmers, Mechanics and Maritime Sciences (M2), Marine Technology
K. Malmek, L. Larsson, S. Werner, J. W. Ringsberg, R. Bensow and C. Finnsgård. Rapid aerodynamic method for predicting the performance of interacting sails on wind powered ships.
Comparison of two rapid numerical methods for predicting the performance of multiple rigid wing-sails
The 5th International Conference on Innovation in High Performance Sailing Yachts and Sail-Assisted Ship Propulsion (INNOV’SAIL 2020),;(2020)p. 49-58
Paper in proceeding
Subject Categories
Applied Mechanics
Vehicle Engineering
Fluid Mechanics and Acoustics
Infrastructure
C3SE (Chalmers Centre for Computational Science and Engineering)
Thesis for the degree of Licentiate – Department of Mechanics and Maritime Sciences: Report No 2023:06
Publisher
Chalmers