eonav satellite data in support of maritime route optimization€¦ · choose routes with lower...

Chalmers University of Technology

EONav – Satellite data in

support of maritime

route optimization

Leif Eriksson

Department of Space, Earth and Environment



Outline

• Why is maritime navigation support needed?

• EONav project concept

• Examples of Earth observation products

• Examples of data needs

• Next steps


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!



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





unfavourable wave conditions.


both for passengers and cargo.

• Cruise ships, ferries and passenger boats don’t want their

passengers to become sea sick.





unfavourable wave conditions


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!


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

Chalmers University of TechnologyEONav

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.


H2020-EO1-2015 - Bringing EO

applications to the market

(EONav – GA 687537)


Satellites give global coverage

Provide information about wind, waves, sea

surface currents, sea ice conditions, etc.


EONav system

NWM = Numerical Weather Model


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…)


Assessment EO sensors

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

Example: Wind


Wind from SAR

Sentinel-1A

Radarsat-2


Sea ice drift from SAR

Icedrift between

2011-03-24 and

2011-03-25

computed from

ENVISAT ASAR

images

16oW

8oW 0o 8

oE

16o E

78oN

79oN

80 oN

81oN

82 oN

0

0.05

0.1

0.15

0.2

0.25 m/s

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. 5023 - 5033.


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


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


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)


Thank you for your

attention!

eonav satellite data in support of maritime route optimization€¦ · choose routes with lower...

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