Eco–Friendly Dynamic Positioning Algorithm Development

This research used the penalty method to develop a dynamic positioning control algorithm object for the purpose of minimizing the fuel consumption and CO2 gas emissions of an offshore platform. The performance of the penalty method was evaluated by comparing it with other conventional methods such as pseudo-inverse, quadratic programming, and genetic algorithm methods. The optimal performance of the penalty method in minimizing fuel consumption and CO2 emissions in both Gulf of Mexico (GOM) 100-year and one-year storm conditions was compared to pseudo-inverse and quadratic-programming methods. A feed-forward control using second-order wave force direct integration was newly applied in this research. The feed-forward control improved both the position maintenance performance and fuel consumption in Gulf of Mexico 100-year and one-year storm conditions. Global motion performance was compared after placing turrets in two locations (mid-ship and bow) and by using a hull-mooring-riser, fully coupled simulation. The results indicated that the mid-turret design reduces heave motion, even though its horizontal motion is unstable. In addition, the dynamic positioning control enhanced the horizontal motion of the mid-ship turret design. To reduce fish-tailing motion in a tandem offloading operation, the dynamic positioning control was employed. Separated Matrix Method based simulations were conducted on a fully coupled hull, mooring, riser, hawser, and thrusters