The use of kites for ship traction represents an innovative and promising solution to reduce greenhouse gas emissions in the maritime shipping sector, which is responsible for approximately 3% of global CO² emissions [3]. By leveraging wind energy, kite systems offer potential solution to lower fuel consumption [6] and operational costs. Existing approaches primarily focus on optimizing traction without explicitly considering energy consumption [4, 5]. While maximizing traction enhances propulsion efficiency most of the time, the energy required to control the kite, particularly through the winch motors, is a critical factor often overlooked. The present study addresses this lack by integrating energy consumption into the optimization process [2], this work is conducted as a part of Kiwin poject withBeyond the sea company (figure 1) and is funded by BPI france. The goal is then to enhance overall system performance while providing insights into the trade-off between traction and energy consumption. The proposed solution combines these two goals into a single optimization framework.
- Multi-objective Optimal Trajectory Generation for a Kite-based Ship Traction System
- Kenza Khedache - Robotique Sous-MarineJérémy Loustau-Laguide - Centre de Recherche de l'École de l'airAhmed Chemori - Robotique Sous-MarineLoïc Daridon - Mécanique Théorique, Interface, Changements d’EchellesKostia Roncin - Centre de Recherche de l'École de l'air
- WESC 2025 - Wind Energy Science Conference (Nantes, France, 24/06/2025–27/06/2025)
- Projet BPI KIWIN France 2030
- 99189650409311
- Laboratoire de Mécanique et Génie Civil - LMGC; Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier - LIRMM
- English
- Conference proceeding
- hal-05423569