Smart Marine Ecosystem Strategy
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1 Smart Marine Ecosystem Strategy Dmitry Rostopshin Director, Traffic Control & Management Solutions E-Navigation Underway North America 2018 Wärtsilä
2 Why is the industry transforming? 20 BEUR waste not addressable by conventional product development* Disruptive forces Fuel efficiency Time at Terminal Offshore 0.2 BEUR 0.7 BEUR Cruise 0.5 BEUR - Big data analytics Smart ports Ferry 1.3 BEUR - Gas Carrier 0.3 BEUR 1.0 BEUR Containership 14.5 BEUR 2.1 BEUR Intelligent vessels * Identified in McKinsey Project Exploration study Wärtsilä
3 New level of safety, efficiency and reliability Intelligent vessels AUGMENTED REALITY CYBER SECURITY SIMULATORS SYSTEM INTEGRATION PREDICTIVE ANALYTICS CLOUD COMPUTING A continuous development of modular solutions will make ships smarter adding advanced navigation capabilities, increased levels of automation, connected systems and insight driven value added services Advanced route planning Collision prevention Autodocking Remote and automated operations Holistic energy and emission management Fleet coordination Wärtsilä
4 Beyond the vessels Smart Ports ADDITIVE MANUFACTURING CYBER SECURITY ADVANCED ROBOTICS INTERNET OF THINGS PREDICTIVE ANALYTICS CLOUD COMPUTING Ports focus on autonomous operations and automated information exchange between vessels, port authorities and logistic partners Reduction of waiting time Optimization of sailing times and berth price Increased reliability and speed of vessel-toport communication Automation of piloting, tug and berthing operations Wärtsilä
5 Insight-led value creation Big data analytics BIG DATA ARTIFICIAL INTELLIGENCE SIMULATORS INTERNET OF THINGS PREDICTIVE ANALYTICS CLOUD COMPUTING Combining system and product engineering know-how, data depth and advanced computing allows us to transform raw data in value creating insights De-risking of decision making Performance optimization Predictive maintenance Anomaly detection Fleet optimization Wärtsilä
6 What is digital for us? Convergence of evolving technologies into new business models Wärtsilä
7 Smart Marine Ecosystem Connecting Smart Ship, Fleet Operating Centre and Smart Port To enable Sustainable Societies with Smart Technology Through Innovative technologies Disruptive business models Strategic partnerships
8 Connect Smart Ship to Fleet Operating Centre... TSS and routing schemes Historic AIS routes Draught and air draught Bathymetry HP and LP systems Ice forecasts Specific wave height Wind speed and direction Pricipitations Ship hydrodynamic model Ship load conditions Smart Route Seamless integrated route planning and execution process Safest route + 5% reduced fuel consumption Comply with all TSS and avoid ColReg non compliance Optimise route through dense traffic areas to avoid over compensation Validate Noon Day Reported Weather Optimise speed to minimise changes and associated increased fuel usage Benchmarking (matching AIS average, shortest and optimized voyages) Allow weather to pass through rather than steam through heavy conditions Increase efficiency and safety to crew, cargo and vessel Tailored routes rather than distances based historic vessel parameters Identify impacts of weather on route and vessel efficiency Identify regions of potential hull stress and risks
9 and to Smart Ports: Portify Smart Route Berth availability Pilot availability Tug availability Other service availability Agent & Fleet Ops Centre JIT arrival Safest route + 10% reduced fuel consumption No waiting time at anchor Service availability ship arrival Better coordination of port activities Reduced port congestion and increased safety Streamlined communication
10 SHIPPING TODAY F O S S I L F U E L S R O U T E B A S E D O N H U M A N E X P E R I E N C E M A N U A L O P E R AT I O N S S H O RT T E R M P L A N N I N G P R E S C R I P T I V E M A I N T E N A N C E P O RT C O N G E S T I O N 10 Wärtsilä
11 THE FUTURE OF SHIPPING Berthing slot and congestion from VTS Weather forecasts S M A RT R O U T I N G A N D V O YA G E P L A N N I N G Situational awareness R E M O T E E M I S S I O N S & P E R F O R M A N C E M O N I TO R I N G C O L L I S I O N AV O I D A N C E A N D A U TO - D O C K I N G Digital Twin H YBRID S H I P Simulators Multiple sources of energy Vessel route and position (navigation system / AIS) R E A L - T I M E V I S I B I L I T Y O F S H I P E TA A N D E T D 11 Wärtsilä
12 FROM CAPTAIN EXPERIENCE Route planning based on personal expertise and past voyages or standard industry tools A B
13 TO ADVANCED INTELLIGENT ROUTING (AIR) Automatic route planning based on meteocean data, traffic schemes and regulations A B
14
15 INSTANT, EFFICIENT AND SAFE ROUTE For Wilson's extensive fleet operations, flexibility and reliability are of the utmost importance. We have worked with Transas for several years, and see them as a trustworthy and competitive partner in developing the systems needed to secure our most efficient operations, and we expect that within a short period Transas will be able to equip our vessels and support them. Thorbjørn Dalsøren, General Director, Wilson Ship Management
16 FROM UNCOORDINATED NAVIGATION TO COLLABORATIVE ECOSYSTEM Inefficient information sharing leading to non-optimal speed and waiting time at anchor
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19 Benefits for all stakeholders Ship operator and Captain Smart routing based on slot availability and pricing, unified communication platform Terminal operator and Port Authority Real-time ETA, on time and transparent ship information, dynamic pricing for slots Service provider and Agent Real-time data on vessel ETA and ETD, transparency on ship requirements for port services Lower fuel consumption Reduced anchoring time Ensured service availability Direct access to port services (lower dependency on agent) Reduced workload variability Higher berthing slot utilization Maximised slot revenues Auditing of all companies operating in port Reduced local emissions Planning and coordination of berthing activities with expanded horizon Efficient communication and documentation exchange
20 FROM OVERLOOKED VOYAGE No transparent information of crew and ship performance
21 TO VOYAGE BENCHMARKING Lessons learned process through post-voyage diagnostics
22 SAVINGS POTENTIAL
23 ADVANCED INTELLIGENT MANOEUVRING (AIM) Intelligent trajectory prediction and recommendation for collision avoidance
24
25 18000 TEU containership Suez - SG 230 T CO T fuel Original speedlog (crew does not know that the ETA is wrong) Optimal speed suggested by Eniram, based on current ETA Information about the accumulated delay at terminal through Protify Real measurement by
26 SOG (KN) 5900 TEU containership Rotterdam - NY Route optimization: -2.7% T CO2 Annual t Annual T fuel Annual t Measured Optimum Speed optimization for JIT arrival: -7.1% Real measurement by
27 5500 TEU containership Suez - Salerno High speed to keep buffer Optimal speed for just in time arrival Drifting to keep position 340 T CO T fuel Out of arrival port Real measurement by
28 Thank you Wärtsilä
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