Digital Transformation in Shipping: Optimizing shore ...

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Digital Transformation in Shipping: Optimizing shore operations through advanced data analysis Svenn Owe Haugland, CPO Freedom to Perform

Transcript of Digital Transformation in Shipping: Optimizing shore ...

Page 1: Digital Transformation in Shipping: Optimizing shore ...

Digital Transformation in Shipping:

Optimizing shore operations through advanced data analysis

Svenn Owe Haugland, CPO

Freedom to Perform

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click to edit master title style

Confidential

• More than 60,000 safe weather routing voyages &voyage performance analysis per year

• 6000+vessels with installed software for voyage optimization (BVS/Seaware)

• 25%penetration (SOLAS ships) with routing services

• 2500vessels with continuous reports for technical performance

• 9000+vessels supported in total

• Big Data20+ years of historical voyage data available for internal applications and product improvements.

60 %

Shipping

*

Oil & Gas Renewables Media

15 % 12 % 9 % 4 %

Cross Industry

* * * *

* Fraction of 2017 revenue

About StormGeo

Over 400 employees, 25 offices, 15 countries, 6 24/7/365 operational centers

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Making the Data Talk

How can this be done like this?

Onboard Navigational Planning Station Future Shore Control Centre

- and what are the benefits?

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Value-added services are absolutely where the industry will go. Information is crucial for

safety and the economic operation of a ship” Regional Sales Director,Transas

IMPLICATIONS FOR ATLAS 2010 2015 2020 2025

DATA DELIVERY

DVD Paper chart DVD Paper chart DVD Paper chart Broadband Broadband

UPDATES

DVD Publications DVD Broadband Publications Broadband Broadband

SERVICES

Broadband Broadband Broadband Broadband

• In 2018, 22,000 vessels (1/3 of the SOLAS fleet) will be capable of taking data intensive digital services – 8,000 more than in 2015.

• Vessels is rapidly consuming more services as broadband becomes more accessible.

• Digital services are being delivered faster at lower cost, irrespective of ship location

• Service updates are fed to vessels real time – and vessel data are fed to shore real time

Increased capacity in marine broadband is driving rapid growth in uptake of digital services

Est. number of SOLAS vessels with 14.000 27.000 45.000marine broadband NSR’s Maritime Satcom Markets, 3rd Edition

ECDIS Mandate

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The Navigational Planning Station

BVS Routing

BVS Seakeeping

DRS3

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The Navigational Planning Station

Nautisk NaviPlanner

ChartCo PassageManager

Nautisk NaviTab

Navtor NavStation

BVS Routing

BVS Seakeeping

DRS3

Some overlap –ideally in one

workflow

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ABB acquirering Amarcon targeting a connected ship-to-shore Technical and Operational real-time Performance Solution.

Acquisitions, consolidations and competitor partnering is rapidly transforming the service industry

Wärtsilä acquirering Transas and Eniram to become both a strong Navigational and Vessel Performance Analysis provider.

Kongsberg, through extensive in-house development of K-Fleet, targeting to become a one-stop-shop for Performance Solutions to their propulsion and navigations clients.

Navtor and WNI enters exclusive partnership to develop an integrated Routing and Navigational Planning Solution.

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StormGeo acquires Nautisk Forlag

2018, 4th Sept.: Nautisk

2014 Applied Weather Technology

2010: Seaware

CEO Nautisk Forlag, Thomas Fjeld and CEO StormGeo, Per-Olof Schroeder

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Rapidly moving towards aOne-window, integrated onboard

Navigational Planning Station

Continuously connected to ECDIS

AND to shore to down/upload data

The Navigational Planning Station

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Autonomous Navigation

StormGeo setup at Carnival

Onshore

Fleet Operation CenterOnboard

Autonomous Vessel

NavigationalPlanning Station

Shore Digital TwinNavigational Planning Station

Very simplified:• A fully digital onboard Navigational

Planning Station • Continuous and Safe ship-shore-ship

Communication

Allows to move the Navigational Planning Station to shore for:

AUTONOMOUS NAVIGATION

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StormGeo setup at Carnival

Onshore

Fleet Operation CenterOnboard

Autonomous Vessel

NavigationalPlanning Station

Shore Digital TwinNavigational Planning Station

The main power in the current early state of this transformation is the availability of much more and

real-time vessel performance data onshore

The increased automation of the maritime ecosystem has resulted in here and now Opportunities Beyond the Bridge

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Making the data talk – utilizing the client and service provider data: Driving operational optimization in shipping by ML&AI

Machine Learning

&Artificial

Intelligence

Weather Observations

Vessel Performance Data

Radar data

Satellite data

MetOcean model data

Improved quality Weather Forecasting

Shipping: Power Baselines

Renewable Energy Trading: Power consumption modeling

Insurance: Predictive Claims

Historical and real-time data AI applications

Vessel Operational Performance

Vessel Business Performance

Improved quality Voyage Optimization

Vessel Technical Performance

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Making the data talk: Using AI on historic performance “big data” to identify individual vessel performancePower Baselines

MarineTraffic

First we need to find the base condition of a vessel –it’s “Perfect Performance”.

Traditional Approach • Expensive CFD or tank

tests.

Data Approach• Using high volume historic

vessel and sister vessel performance data to identify individual vessel power baselines.

Draft=12.0 12 13 14 15 16 17 18 19 20 21 22

-3 8.642 9.439 11.176 13.253 15.331 17.409 19.504 22.053 24.894 27.800 30.874

-2,5 8.516 9.424 11.213 13.291 15.369 17.446 19.562 22.131 24.972 27.814 30.655

-2 8.389 9.409 11.251 13.329 15.406 17.484 19.620 22.208 25.050 27.891 30.743

-1,5 8.263 9.394 11.289 13.366 15.444 17.521 19.678 22.286 25.128 27.969 30.885

-1 8.136 9.378 11.326 13.404 15.482 17.577 19.736 22.364 25.206 28.047 31.105

-0,5 8.049 9.363 11.364 13.442 15.519 17.635 19.794 22.442 25.284 28.199 31.562

0 7.980 9.348 11.402 13.479 15.557 17.693 19.852 22.520 25.361 28.706 32.060

0,5 7.931 9.362 11.439 13.517 15.594 17.751 19.910 22.598 25.881 29.235 32.589

1 7.974 9.399 11.477 13.554 15.650 17.809 19.968 23.055 26.410 29.764 33.118

1,5 8.016 9.437 11.515 13.592 15.707 17.867 20.230 23.585 26.939 30.293 33.643

2 8.059 9.475 11.552 13.630 15.765 17.990 20.760 24.114 27.468 30.813 34.089

2,5 8.101 9.512 11.590 13.667 15.873 18.163 21.289 24.643 27.982 31.258 34.534

3 8.143 9.550 11.627 13.757 16.047 18.464 21.818 25.151 28.427 31.717 35.533

3,5 8.186 9.640 11.684 13.930 16.220 18.993 22.320 25.596 28.909 32.725 36.542

4 8.228 9.738 11.837 14.103 16.393 19.489 22.765 26.101 29.918 33.734 37.551

4,5 8.271 9.948 11.990 14.276 16.658 19.935 23.294 27.110 30.926 34.743 38.596

5 8.400 10.159 12.160 14.415 17.104 20.486 24.302 28.119 31.935 35.752 39.653

Draft=13.0 12 13 14 15 16 17 18 19 20 21 22

-3 8.887 9.677 11.494 13.571 15.649 17.726 19.841 22.345 25.187 28.185 31.310

-2,5 8.760 9.661 11.531 13.609 15.687 17.764 19.899 22.423 25.264 28.106 31.061

-2 8.634 9.646 11.569 13.647 15.724 17.802 19.957 22.501 25.342 28.198 31.415

-1,5 8.507 9.631 11.607 13.684 15.762 17.856 20.015 22.579 25.420 28.509 31.872

-1 8.403 9.616 11.644 13.722 15.799 17.914 20.073 22.657 25.680 29.034 32.388

-0,5 8.334 9.604 11.682 13.759 15.837 17.972 20.131 22.855 26.209 29.563 32.917

0 8.265 9.642 11.720 13.797 15.875 18.030 20.204 23.384 26.738 30.092 33.446

0,5 8.210 9.680 11.757 13.835 15.929 18.088 20.559 23.913 27.267 30.621 33.975

1 8.252 9.717 11.795 13.872 15.986 18.260 21.088 24.442 27.796 31.150 34.505

1,5 8.295 9.755 11.832 13.910 16.143 18.433 21.617 24.971 28.325 31.680 34.992

2 8.337 9.792 11.870 14.031 16.317 18.792 22.146 25.500 28.855 32.161 35.762

2,5 8.380 9.830 11.975 14.200 16.490 19.321 22.675 26.029 29.330 32.955 36.771

3 8.422 9.955 12.128 14.373 16.663 19.850 23.204 26.499 30.147 33.963 37.780

3,5 8.501 10.166 12.281 14.546 17.025 20.379 23.669 27.339 31.156 34.972 38.788

4 8.659 10.376 12.434 14.720 17.554 20.838 24.531 28.348 32.164 35.981 39.797

4,5 8.826 10.587 12.603 14.893 18.007 21.724 25.540 29.357 33.173 36.990 40.806

5 9.037 10.797 12.773 15.176 18.916 22.733 26.549 30.365 34.182 37.998 41.831

Calm Sea Speed (kts)

Trim

(m

) (<

0,

trim

me

d b

y b

ow

)

Calm Sea Speed (kts)

Trim

(m

) (<

0,

trim

me

d b

y b

ow

)

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Making the data talk: Vessel Technical Performance

StormGeo FleetDSS

Dry Dock Prop. Polish Hull Cleaning Figure:• Start: Dry dock / full service• Gradually declining vessel performance• Green: Propeller polish – NO effect• Blue: Hull Cleaning – Good, but short

term effect

Possible through combining large amounts of continuous client data with met-ocean data

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Making the data talk: Vessel Business Performance

StormGeo FleetDSS

Figure:• Shows fuel consumption vs. speed of all same type (age/size/loading condition) vessels in same trade and

after filtering out weather and ocean effects• Allows to compare the business performance of one given vessel with the world fleet

SPEED

CONSUMPTION

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Making the data talk: Speed management is key for cost efficient Vessel Operational Performance

Actual Speed

Projected optimalspeed profilefor on time arrival

AIS Speed

WX and Current Factor

Vessel is keeping a too high speed to achieve desired ETA, overconsuming fuel and building cost

Freq

uen

cy (

%)

90% of ensembles indicating 21kts

Speed (kts)

Voyage Performance Graph Using Ensemble forecasts to estimate the speed confidence level for accurate on time arrival

Recommended speed

Actualspeed

Spee

d (

kts)

Time

StormGeo FleetDSS

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Making the data talk

By enabling this to be done here

one gains full Corporate Business Optimization control

• Technical Performance• Business Performance• Operations Performance

From shore real time controllable asset

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Freedom to Perform