EONav Satellite data in support of maritime route optimization

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1 EONav Satellite data in support of maritime route optimization Leif Eriksson Department of Space, Earth and Environment Chalmers University of Technology

2 Outline Why is maritime navigation support needed? EONav project concept Examples of Earth observation products Examples of data needs Next steps

3 Is maritime navigation support needed? Fuel consumption and emissions: Large ships can consume up to 16 tons of fuel per hour or, with a fuel price of $657/ton (the average fuel price in 2014), burn over $200,000/day. A single large ship burning heavy fuel oil can emit 5200 tons of sulphur oxides per year. Stricter environmental regulations impose the use of costlier desulfurized fuel in increasing parts of the world. Reduce fuel consumption!

4 Is maritime navigation support needed? Cargo safety and passenger comfort: Container ships each year loose thousands of containers that get damaged or fall overboard in severe weather or unfavourable wave conditions Shipping in areas with sea ice and ice bergs increase both for passengers and cargo Cruise ship MS Explorer sank off Antarctica in 2007

5 Is maritime navigation support needed? Cargo safety and passenger comfort: Container ships each year loose thousands of containers that get damaged or fall overboard in severe weather or unfavourable wave conditions. Shipping in areas with sea ice and ice bergs increase both for passengers and cargo. Cruise ships, ferries and passenger boats don t want their passengers to become sea sick.

6 Is maritime navigation support needed? Cargo safety and passenger comfort: Container ships each year loose thousands of containers that get damaged or fall overboard in severe weather or unfavourable wave conditions Shipping in areas with sea ice and ice bergs increase both for passengers and cargo Cruise ships, ferries and passenger boats don t want their passengers to become sea sick Avoid unfavourable wave and ice conditions!

7 Possible solutions One way to reduce fuel consumption, increase safety for cargo and comfort for passengers is to carefully select the route of the ship Choose route that as much as possible go with the current and wind instead of against them Choose routes with lower risk for storms, unfavourable waves, ice bergs or sea ice floes Weather routing and route optimization

8 EONav Chalmers University of Technology Earth Observation for Maritime Navigation The EONav concept is a real-time sail planning system that will guide ships to the most efficient routes in order to minimize fuel consumption and emission.

9 H2020-EO Bringing EO applications to the market (EONav GA )

10 Satellites give global coverage Provide information about wind, waves, sea surface currents, sea ice conditions, etc.

11 EONav system NWM = Numerical Weather Model

12 Available data sources CMEMS Copernicus Marine Environment Monitoring Service Copernicus Open Access Hub (Rolling Archive) Collaborative Ground Segment (e.g. Swea) Copernicus Data Warehouse (DWH) Core datasets Additional datasets Meteorological organisations (NOAA, ECMWF, ) Networks of HF coastal radars In situ observations (buoys, gliders, tide gauges ) Ship data (planned route, engine power, wind )

13 Assessment EO sensors Example: Wind EO satellites and sensors for retrieval of wind speed (c) and direction (dir). SAR = Synthetic Aperture Radar; Scatt = Scatterometer; Alt = Altimeter; MWR = Microwave Radiometer

14 Radarsat-2 Wind from SAR Sentinel-1A

15 Sea ice drift from SAR 81 o N 80 o N 82 o N 16 o E Icedrift between and computed from ENVISAT ASAR images 0.25 m/s 79 o N 16 o W o N o W 0 o 8 o E Method described in: Berg, A. and Eriksson, L. E. (2014). Investigation of a Hybrid Algorithm for Sea Ice Drift Measurements Using Synthetic Aperture Radar Images. IEEE Transactions on Geoscience and Remote Sensing, 52 (8), pp

16 Data needs - Example 1 Oslo - Kiel One way distance: 700 km Assumptions: Sentinel-1 in IW mode Image size 250 km x 250 km Image overlap 0% Number of images (one way): 700/250=3 images 180 roundtrips/year: 2*3*180 = 1080 Sentinel-1 IW images

17 Data needs - Example 2 Rotterdam Panama One way distance: 8800 km Assumptions: Sentinel-1 in EW mode Image size 400 km x 400 km Image overlap 50% Number of images (one way): 2*8800/400=44 images 10 roundtrips/year: 2*44*10 = 880 Sentinel-1 EW images

18 Next steps - Upscaling: More data sources, larger data volumes, more ship installations, more ship types - Improve algorithms and models: Data processing, ship performance, route optimization, feedback, machine learning - Large scale testing and validation - Commercialization (spin off company already active)

19 Thank you for your attention!