Tools for optimizing performance of VOYages at sea

• Autorzy: Johannessen J. A. , Perrin A. , Gaultier L. , Herlédan S. , Pouplin C. , Collard F. , Maze J. P. , Dussauze M. , Rapp J. , Fanebust R. , Andersen S. , Franks O. , Meyer R.

Identyfikatory

DOI

10.12716/1001.15.01.25

• Języki publikacji: EN

Abstrakty

EN

The aim of the TOPVOYS project supported by the MarTERA ERA-Net Cofund program within the European Commission is to advance and implement analyses tools and decision support system for voyage optimisation. Based on marine weather analyses and forecasts combined with near real time satellite-based observations of wind, wave and surface current conditions as well as sea surface temperature fields the best shipping route are examined. The proposed approach aims to identify the optimum balance between minimisation of transit time and fuel consumption as well as reduction of emissions without placing the vessel at risk to damage and or crew injury. As such it is compliant with the International Maritime Organization guidelines [6] for ship routeing to keep the traffic smooth and avoid accidents, notably in the presence of unfavorable marine meteorological conditions. The tool performances will be demonstrated both in post-voyage analyses and real time operations for the North Atlantic Ocean crossings, voyages from Europe through the Mediterranean Sea and the Suez Channel to the Far East (e.g. China, South Korea) and voyages around Southern Africa.

Słowa kluczowe

EN

voyage at sea; Copernicus Marine Environment Monitoring Service; optimization tool; synthetic aperture radar; finite-size lyapunov exponent; route optimization; sea surface temperature; route optimization algorithm

• Wydawca: Faculty of Navigation, Gdynia Maritime University
• Czasopismo: TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
• Rocznik: 2021
• Tom: Vol. 15 No. 1
• Strony: 233--239
• Opis fizyczny: Bibliogr. 13 poz., rys., tab.

Twórcy

autor

Johannessen J. A.

• Nansen Environmental and Remote Sensing Center, Bergen, Norway

autor

Perrin A.

• Nansen Environmental and Remote Sensing Center, Bergen, Norway

autor

Gaultier L.

• OceanDataLab, Plouzané, France

autor

Herlédan S.

• OceanDataLab, Plouzané, France

autor

Pouplin C.

• OceanDataLab, Plouzané, France

autor

Collard F.

• OceanDataLab, Plouzané, France

autor

Maze J. P.

• Actimar, Brest, France

autor

Dussauze M.

• Actimar, Brest, France

autor

Rapp J.

• CMA-CGM, Marseille, France

autor

Fanebust R.

• Grieg Star, Bergen, Norway

autor

Andersen S.

• Grieg Star, Bergen, Norway

autor

Franks O.

• Nelson Mandela University, Port Elisabeth, South Africa

autor

Meyer R.

• CSIR, Cape Town, South Africa

Bibliografia

• 1.Cayula, J.-F., Cornillon, P.: Edge Detection Algorithm for SST Images. Journal of Atmospheric and Oceanic Technology. 9, 1, 67–80 1992). https://doi.org/10.1175/1520-0426(1992)009<0067:EDAFSI>2.0.CO;2.
• 2.Cayula, J.-F., Cornillon, P.: Multi-Image Edge Detection for SST Images. Journal of Atmospheric and Oceanic Technology. 12, 4, 821–829 (1995). https://doi.org/10.1175/1520-0426(1995)012<0821:MIEDFS>2.0.CO;2.
• 3. Chang, Yu-Chia , Ruo-Shan Tseng, Guan-Yu Chen, Peter C Chu and Yung-Ting Shen (2013), Ship Routing Utilizing Strong Ocean Currents, The Journal of Navigation (2013), 66, 825–835. © The Royal Institute of Navigation 2013, doi:10.1017/S0373463313000441.
• 4. Fratantoni, D.M., Bower, A.S., Johns, W.E., Peters, H.: Somali Current rings in the eastern Gulf of Aden. Journal of Geophysical Research: Oceans. 111, C9, (2006). https://doi.org/10.1029/2005JC003338.
• 5. Gaultier, L., Verron, J., Brankart, J.-M., Titaud, O., Brasseur, P.: On the inversion of submesoscale tracer fields to estimate the surface ocean circulation. Journal of Marine Systems. 126, 33–42 (2013). https://doi.org/10.1016/j.jmarsys.2012.02.014.
• 6 International Maritime Organization (IMO) IG927E Ships' Routeing, 14th Edition 2019, IM927, ISBN: 97892-801-0049-5 (9789280100495).
• 7. International Maritime Organization (2010). Reduction of GHG emissions from ships, IMO-MEPC 61/INF.22, 2 August 2010.
• 8. Kim, J.-G., Kim, H.-J., and Lee, P. T. W (2013). “Optimising container ship speed and fleet size under a carbon tax and an emission trading scheme.” International Journal of Shipping and Transport Logistics, vol. 571–590. DOI: 10.1504/IJSTL.2013.056835.
• 9.Marechal, G., Ardhuin, F.: Surface currents and significant wave height variability: a numerical investigation of the Agulhas current region. Earth and Space Science Open Archive. 18 (2020). https://doi.org/10.1002/essoar.10503641.1.
• 10. d’Ovidio, F., Fernández, V., Hernández-García, E., López, C.: Mixing structures in the Mediterranean Sea from finite-size Lyapunov exponents. Geophysical Research Letters. 31, 17, (2004). https://doi.org/10.1029/2004GL020328.
• 11 .Pennino, Silvia, Salvatore Gaglione, Anna Innac, Vincenzo Piscopo and Antonio Scamardella (2020), Development of a New Ship Adaptive Weather Routing Model Based on Seakeeping Analysis and Optimization, J. Mar. Sci. Eng. 2020, 8, 270; doi:10.3390/jmse8040270.
• 12. Quilfen, Y., Chapron, B.: Ocean Surface Wave-Current Signatures From Satellite Altimeter Measurements. Geophysical Research Letters. 46, 1, 253–261 (2019). https://doi.org/10.1029/2018GL081029.
• 13.Yang, Liqian , Gang Chen, Jinlou Zhao and Niels Gorm Malý Rytter (2020), Ship Speed Optimization Considering Ocean Currents to Enhance Environmental Sustainability in Maritime Shipping, J. Mar. Sci. Eng.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).