A VISION OF THE INTELLIGENT SHIP

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1 A VISION OF THE INTELLIGENT SHIP Oskar Levander, VP Innovation, E&T, Marine The Digital Ship Bergen, Rolls-Royce plc The information in this document is the property of Rolls-Royce plc and may not be copied or communicated to a third party, or used for any purpose other than that for which it is supplied without the express written consent of Rolls-Royce plc. This information is given in good faith based upon the latest information available to Rolls-Royce plc, no warranty or representation is given concerning such information, which must not be taken as establishing any contractual or other commitment binding upon Rolls-Royce plc or any of its subsidiary or associated companies. Trusted to deliver excellence

2 Fundamental Changes in Shipping Historic changes: From sail to steam Coal to diesel Introduction of the container ship Cross Atlantic airflights (end of the ocean liners) etc. What will be the most fundamental changes in shipping during your career?

3 Trends

4 Fundamental Changes in Shipping Next changes: LNG will become one of the main marine fuels Introduction of hybrid and battery propulsion Ship Intelligence Introduction of unmanned ships...

5 Information Technology The dawn of the Ship Intelligence era

6 Ship Intelligence

7 Energy Monitoring

8 Onboard Optimisation metrics 8

9 From ship to fleet optimisation

10 Data we are logging Product usage specific data Vessel Position Data Vessel Operational Performance Data Selection of Control Systems data Environmental data Vibration, Oil monitoring (particles, moisture), speed, load, steering angle Fuel and efficiency specific data Other available data: RCI data, safety records, Doc Library, maintenance data, ERP/Baan/SAP data, Design data from PLM, test records, service reports Product condition specific data (temp, pressures, etc.)

11 Products we are collecting the data from

12 Data usage today Offerings to customers: Equipment health monitoring services Energy management services Marine Care offerings (predictive maintenance) Operational performance reporting at customer request. Input to Onboard Vessel Optimization functionalities. Data analytics to build vessel and fleet performance optimization consultancy business

13 Unified Bridge 13

14 Unified Bridge - tailored for different ships 14

15 15 ox Container Vessels

16 ox Personal Preferences Adjusting workstations 2. Adjusting HUD graphics

17 ox Augmented Reality Augmented Navigation 2. Adjusting HUD graphics

18 ox Situation Awerness Augmented Assistance 2. Remote Operated Sub-Systems

19 19

20 Remote opportunities

21 Ship systems Outdoor deck systems Ramps Cargo deck Air Conditioning Food stores Propulsors Large number of different systems Ventilation Elevators Lightning Laundry Life saving equipment Exhaust gas treatment Electric distribution Communication Navigation Bridge automation Deck equipment Steering gear Rudders Winches Gears and shaft lines Stabilisers Fuel system Main engines Steam system Switchboards Energy management Thrusters Fire fighting systems Automation & controls Generators Bearings and seals Launch & recovery systems Auxiliary engines Replenishment / fuelling systems Ballast systems Electric drives Ballast water treatment Sewage treatment Rolls-Royce scope Adjacent to Rolls-Royce scope Distant to Rolls-Royce scope

22 Complexity vs competency Ships are becoming more complex More integration of systems Will there be enough competent seafarers? There s a gap opening up between complexity of ships and the availability of competent crews.

23 Ship Intelligence - Customer value Energy saving Revenue optimization Safety Maintenance cost Availability Usability

24 Intelligent ship today Fleet monitoring Decision support Weather routing Onboard optimization (energy, power management, etc.) Common controls Condition based maintenance EHM on main components Ship sensors AIS ECDIS

25 Intelligent ship tomorrow Remote control Autonomous operation Fleet optimization for best profit Total fleet routing (revenue (cargo), weather, current, ship performance, bunker prices, maintenance schedules) Decision support (collision avoidance, risk mitigation, emergency reaction) Common automation standard and user interface AIS ECDIS Automatic mooring Automatic cargo handling and optimization Fully sensored (ship awareness), feedback to operator EHM on all ship systems (machinery, ship systems, payload systems,..) Predictive maintenance

26 A Vision of the Intelligent Ship Unmanned Remote Contrlled Ships Making ship transport more efficient and safe!

27 Remote Controlled Ships Reduced crew costs Access to competent crew Better working conditions for the seafarers Improved ship efficiency Improved safety

28 Other Unmanned Vehicles Airplanes Helicopters Cars Trains and subways Submarines ROV:s Offshore installations... It is not if, but when... Marine is only following todays trend!

29 Number of crew Crew Trends Crew size for ocean going ships ?

30 Remote Controlled Ships - Features No deck house More cargo New possibilities New machinery locations Novel machinery types Better cargo handling Etc No hotel systems Water production Water heating AC Sewage treatment Etc Lower costs Communications Ship-to-shore Ship-to-ship IT security Etc Better weight distribution Redundant machinery Lower LWT Lower power demand Lower resistance from reduced LWT Lower hotel load Etc

31 ROADMAP for Unmanned Ships

32 Key Development Areas Remote control center Operations management Situational awareness interface Human interaction interface Communications Ship-to-shore and ship-to-ship Communication infrastructure Data filtering and processing Operation optimization Fleet optimization e-navigation and route optimization Performance management Decision support systems Remote controlled systems Machinery, propulsion and auxiliary systems Cargo handling and payload systems Mooring Ship level integration of functions Health & safety management Remote diagnostics and predictive maintenance Reliability and redundancy Safety and security systems Situational awareness systems Obstacle detection, classing and tracking Near field path planning and execution Environmental condition monitoring Situational awareness interfacing with remote control center

33 International Regulatory Obstacles SOME EXAMPLES OF CONFLICTS WITH PRESENT INTERNATIONAL RULES AND REGULATIONS

34 Potential Timeline For Ship Concepts Adoption of the technologies and functionalities towards autonomy is likely to start from locally operating vessels CABLE FERRY COASTAL CARGO SHIP SEMI-AUTONOMOUS OCEAN GOING CARGO SHIP AUTONOMOUS OCEAN GOING CARGO SHIP

35 Remote Controlled Road Ferry

36 The most fundamental change in shipping: Unmanned ships Ship Intelligence is the main technology trend!

37 The best way to predict the future is to create the future

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