Title :
High-Altitude Wind Energy for Sustainable Marine Transportation
Author :
Fagiano, Lorenzo ; Milanese, Mario ; Razza, Valentino ; Bonansone, Mario
Author_Institution :
Dipt. di Autom. e Inf., Politec. di Torino, Torino, Italy
fDate :
6/1/2012 12:00:00 AM
Abstract :
This paper investigates the use of a controlled tethered wing, or kite, for naval transportation. Linked to a boat by light composite-fiber lines, the kite is able to fly between 200 and 600 m above the sea and to generate high traction forces. A mechatronic system named Kite Steering Unit (KSU) that is installed on the boat controls the kite and converts the line speed and force into electricity. Different from previous works, the boat is also equipped with electric propellers so that naval propulsion can be achieved both directly, i.e., through the towing forces exerted by the lines, and indirectly, i.e., through the electricity generated by the KSU that is fed to the electric propellers via a battery pack. The optimal system operating conditions that maximize the boat speed for the given wind characteristics are computed. Then, a model predictive controller is designed, and numerical simulations with a realistic model are carried out to assess the performance of the control system against the optimal operating conditions. The results indicate that, with this system, a completely green naval transportation system can be obtained, regardless of the wind direction.
Keywords :
boats; composite materials; direct energy conversion; electric generators; environmental factors; numerical analysis; propellers; sustainable development; KSU; Kite Steering Unit; boat speed; control system; controlled tethered wing; electric propellers; electricity; force conversion; green naval transportation system; high traction forces; high-altitude wind energy; light composite-fiber lines; line speed; mechatronic system; model predictive controller; naval propulsion; numerical simulations; optimal system; sustainable marine transportation; towing forces; Batteries; Boats; Computational modeling; Force; Mathematical model; Propellers; Vectors; Control systems; marine transportation; optimal control; wind energy;
Journal_Title :
Intelligent Transportation Systems, IEEE Transactions on
DOI :
10.1109/TITS.2011.2180715