Analysis On Temporal And Spatial Distribution Of Ocean Wind Around The Typical Routes Of The Ocean Ship

As one of the great energy consumption, the marine transportation consumes 2.5% of the total world energy, and its gas emission such as SOX, NOX and CO2 accounted for 10%,25% and 2.7% of their own total emissions all round the world. At the same time, with the rising of the crude oil price and the growing environment problems, in order to reduce the cost and pollution on the environment, marine transportation needs to find new energy resource which acts as the auxiliary energy to reduce the use of crude oil, and it is no doubt that the widely distribution wind resource in the world ocean is the best choice. So, in the purpose of using sea wind resource as the auxiliary propulsion to the ocean ship, through the overlapping display of the ocean route and ocean wind field on the global electronic chart and the design of the related algorithm, this paper analyzes the temporal and spatial distribution of the wind around the any routes.At first, this paper based on the wind field data from September 1999 to August 2007 observed by the QuickSCAT satellite. Then the data storage format is analyzed by the software of GrADS, which is one of the professional meteorological software, at the same time, in order to certificate the analyzed result, the wind field vector diagrams are draw by the use of this software. Besides, in order to display the wind field data on the electric chart and improve the retrieval efficiency, the data format is converted to the binary file by the use of VC++ programming, and the binary format wind data is oriented to data retrieval processing and electric chart display system. Secondly, taking the very large crude carrier (VLCC) of the Middle East route and bulks of Brazil route as the typical routes, all of them are obtained from the shipping company, and based on achievement of the National Science and Technology Planning project-SCOM (Ship and Cargo Online Monitoring System), this paper realizes to overlapping display the typical route and the wind field data on the electric chart, and analyzes the wind resource distribution around the typical routes. At last, in order to analyze the temporal and spatial distribution of the wind resource more accurately, the author designs the algorithm about track belt and wind point extracting, at the same time, one kind of mapping relation is built between the color and the wind direction, so the change of the wind direction on the any routes can be displayed obviously by the use of color change model. In summary, through the analysis of the wind temporal and spatial distribution around the rout, it can find that the wind in 5°or longer distance keep stability, and this provides facilitate for the ocean ship to use the wind resource. So, in this paper, a preliminary validity valuation for the ocean ships which taking the wind power as the auxiliary propulsion was obtained, which can provide theoretical basis for the new type wing-assistant navigation system design.