Monohakobi Technology Institute How ICT can assist Energy

Monohakobi Technology Institute How ICT can assist Energy Efficient Fleet Operations Digital Ship Hamburg 1 – 2 February 2012 Hideyuki Ando Technical Strategy Group, MTI (Monohakobi Technology Institute) R&D company of NYK Line 1 © Copyright 2006 Monohakobi Technology Institute

Monohakobi Technology Institute Outline • Background • Energy Efficient Fleet Operation • Performance monitoring • Data analytics • Conclusion remarks 2 “How ICT can assist Energy Efficient Fleet Operations”, Hideyuki Ando, MTI, Monohakobi Technology Institute, R&D Company of NYK Line Digital Ship Hamburg 2012, 1 st - 2 nd Feb 2012, Hamburg Magnushall

Monohakobi Technology Institute Background 3 “How ICT can assist Energy Efficient Fleet Operations”, Hideyuki Ando, MTI, Monohakobi Technology Institute, R&D Company of NYK Line Digital Ship Hamburg 2012, 1 st - 2 nd Feb 2012, Hamburg Magnushall

Monohakobi Technology Institute Save bunker activities in shipping company • According to increased cost of bunker, shipping companies have applied operational and technical measures for fuel savings – – Slow steaming Weather routing Propeller cleaning Energy saving devices Cost benefit and emission reduction by slow steaming e. g. 8, 000 TEU container 4 Slow steaming Ship speed 24 knot 20 knot M/E fuel consumption 225 ton/day 130 ton/day M/E fuel cost (@ 600 USD/MT) 134, 800 USD/day 78, 000 USD/day CO 2 emission 696 ton/day 403 ton/day “How ICT can assist Energy Efficient Fleet Operations”, Hideyuki Ando, MTI, Monohakobi Technology Institute, R&D Company of NYK Line Digital Ship Hamburg 2012, 1 st - 2 nd Feb 2012, Hamburg Magnushall - 16 % - 42 %

Monohakobi Technology Institute Performance monitoring - compare total fuel consumption or EEOI More than 30 % difference • Same ship size and same voyage – but total amounts of fuel consumption largely differ 5 “How ICT can assist Energy Efficient Fleet Operations”, Hideyuki Ando, MTI, Monohakobi Technology Institute, R&D Company of NYK Line Digital Ship Hamburg 2012, 1 st - 2 nd Feb 2012, Hamburg Magnushall

Monohakobi Technology Institute SEEMP - PDCA management for energy efficiency • SEEMP (Ship Energy Efficiency Management Plan) – MEPC 62 adopted revisions of MARPOL Annex VI introducing EEDI and SEEMP • Entry into force date: 1 January 2013 Operational measures • slow steaming • weather routing • hull and propeller maintenance …. Plan Do Check Act Continuous monitoring & improvement 6 “How ICT can assist Energy Efficient Fleet Operations”, Hideyuki Ando, MTI, Monohakobi Technology Institute, R&D Company of NYK Line Digital Ship Hamburg 2012, 1 st - 2 nd Feb 2012, Hamburg Magnushall

Monohakobi Technology Institute Energy Efficient Fleet Operation 7 “How ICT can assist Energy Efficient Fleet Operations”, Hideyuki Ando, MTI, Monohakobi Technology Institute, R&D Company of NYK Line Digital Ship Hamburg 2012, 1 st - 2 nd Feb 2012, Hamburg Magnushall

Monohakobi Technology Institute Fleet operation • Best balance of safety, economy and environment – – No cargo and ship damage Keep schedule Maximize charter base (minimize cost) Minimize emissions Snapshot from NYK e-Missions’ NYK fleet: about 800 vessels now 8 “How ICT can assist Energy Efficient Fleet Operations”, Hideyuki Ando, MTI, Monohakobi Technology Institute, R&D Company of NYK Line Digital Ship Hamburg 2012, 1 st - 2 nd Feb 2012, Hamburg Magnushall

Monohakobi Technology Institute Management for energy efficient operation - Needs all related parties participation Plan – routing Do - navigation PDCA cycle for improvement Act – corrective action Check – monitoring To encourage all participants efforts for energy efficient operation by sharing information, good communication and right scheme 9 “How ICT can assist Energy Efficient Fleet Operations”, Hideyuki Ando, MTI, Monohakobi Technology Institute, R&D Company of NYK Line Digital Ship Hamburg 2012, 1 st - 2 nd Feb 2012, Hamburg Magnushall

Monohakobi Technology Institute Optimum weather routing • Role of weather routing – (past) Avoiding severe weather – (now) Optimum weather routing Way points Best balance of • Safety • Schedule keep • Economy • Environment • Necessary technology for optimum weather routing Routes and weather – Ship performance model • RPM – speed – fuel consumption – Ship motion and performance in severe weather 10 “How ICT can assist Energy Efficient Fleet Operations”, Hideyuki Ando, MTI, Monohakobi Technology Institute, R&D Company of NYK Line Digital Ship Hamburg 2012, 1 st - 2 nd Feb 2012, Hamburg Magnushall

Monohakobi Technology Institute Integration of weather routing and monitoring Weather Routing（PLAN） Monitoring（CHECK） • Voyage plan • Voyage actual + course, speed, RPM, FOC, weather + ship performance model + actual speed – RPM, RPM - FOC Feedback + actual weather Ship model and weather forecast are inherently include errors. But feedback loop by monitoring can make this system work better. 11 “How ICT can assist Energy Efficient Fleet Operations”, Hideyuki Ando, MTI, Monohakobi Technology Institute, R&D Company of NYK Line Digital Ship Hamburg 2012, 1 st - 2 nd Feb 2012, Hamburg Magnushall

Monohakobi Technology Institute Fleet monitoring at shore • Shore operation manages fleet – Keep safety, schedule and minimize cost – Provide awareness by comparing voyage plan and monitoring data 12 “How ICT can assist Energy Efficient Fleet Operations”, Hideyuki Ando, MTI, Monohakobi Technology Institute, R&D Company of NYK Line Digital Ship Hamburg 2012, 1 st - 2 nd Feb 2012, Hamburg Magnushall

Monohakobi Technology Institute Performance monitoring 13 “How ICT can assist Energy Efficient Fleet Operations”, Hideyuki Ando, MTI, Monohakobi Technology Institute, R&D Company of NYK Line Digital Ship Hamburg 2012, 1 st - 2 nd Feb 2012, Hamburg Magnushall

Monohakobi Technology Institute Performance monitoring for right awareness Monitoring target Awareness Decision making Action Performance monitoring • If awareness is wrong, decision making and action will be wrong • Share correct and necessary information in right time by utilizing ICT 14 “How ICT can assist Energy Efficient Fleet Operations”, Hideyuki Ando, MTI, Monohakobi Technology Institute, R&D Company of NYK Line Digital Ship Hamburg 2012, 1 st - 2 nd Feb 2012, Hamburg Magnushall

Monohakobi Technology Institute Example implementation of data collection box onboard Flow meter • Requirements • Interface to onboard equipment, such as engine D/L, GPS, anemometer, flow meter and etc. • High reliability … 24 hrs, 365 days work without maintenance • Lower cost of implementation • Flexibility of customization FUELNAVI 15 “How ICT can assist Energy Efficient Fleet Operations”, Hideyuki Ando, MTI, Monohakobi Technology Institute, R&D Company of NYK Line Digital Ship Hamburg 2012, 1 st - 2 nd Feb 2012, Hamburg Magnushall

Monohakobi Technology Institute Inmarsat-FB or VSAT Technology Institute FUELNAVI schematic diagram Ship’s LAN SIMS junction box Box Computer Motion Sensor serial (MOXA) -data storage -data transfer serial GPS (speed, course) NMEA Doppler log (speed) Gyro compass (heading) NMEA Anemometer (rel. wind) Bridge Fuel. Navi NMEA (PLC: Mitsubishi MELSEC-Q) NMEA serial / LAN -Data processing -Calculate statistics serial / LAN GOT monitor -Fuel consumption monitor E/C Engine Data Logger RPM 4 -20 m. A F. O. flow meter S. H. P Master clock pulse 4 -20 m. A F. O. temperature 16 Sea water temp. E/R temp. pulse 4 -20 m. A “How ICT can assist Energy Efficient Fleet Operations”, Hideyuki Ando, MTI, Monohakobi Technology Institute, R&D Company of NYK Line Digital Ship Hamburg 2012, 1 st - 2 nd Feb 2012, Hamburg Magnushall

Monohakobi Technology Institute Interval of monitoring data • Existing data collection approaches Data interval comparison red: OG speed, black: log speed Ship type: VLCC – Manual reporting (every 24 hrs) – Automatic data collection (sampling can be every 1 sec) time (hour) • Every 1 hour data give detail information about performance Data interval: 24 hours – Speed increasing profile and effect of current can be seen in the 1 hour interval graph. time (hour) Data interval: 1 hour 17 “How ICT can assist Energy Efficient Fleet Operations”, Hideyuki Ando, MTI, Monohakobi Technology Institute, R&D Company of NYK Line Digital Ship Hamburg 2012, 1 st - 2 nd Feb 2012, Hamburg Magnushall

Monohakobi Technology Institute Onboard performance monitoring • Real time performance indicator in bridge – Provide awareness to ship • Performance index – OG speed / fuel consumption [NM/MT] – Fuel consumption [MT/day] • Trip meter function for onboard performance trial – Energy efficiency comparison FUELNAVI monitor 18 “How ICT can assist Energy Efficient Fleet Operations”, Hideyuki Ando, MTI, Monohakobi Technology Institute, R&D Company of NYK Line Digital Ship Hamburg 2012, 1 st - 2 nd Feb 2012, Hamburg Magnushall

Monohakobi Technology Institute Data analytics 19 “How ICT can assist Energy Efficient Fleet Operations”, Hideyuki Ando, MTI, Monohakobi Technology Institute, R&D Company of NYK Line Digital Ship Hamburg 2012, 1 st - 2 nd Feb 2012, Hamburg Magnushall

Monohakobi Technology Institute Identify each cause of fuel consumption • • By using detail monitoring data and appropriate analysis methods, total FOC can be breakdown into each cause. It will be the key concept for SEEMP management too. Effect of distance increase Effect of speed allocation Total FOC Effect of speed increase Effect of weather Generator use Analysis and identify Effect of ship hull condition Effect of draft and trim Ship base performance 20 “How ICT can assist Energy Efficient Fleet Operations”, Hideyuki Ando, MTI, Monohakobi Technology Institute, R&D Company of NYK Line Digital Ship Hamburg 2012, 1 st - 2 nd Feb 2012, Hamburg Magnushall

Monohakobi Technology Institute Factors of additional fuel consumption 1. Higher average speed than planned speed 2. Longer voyage distance than planned distance 3. Effect of bad weather and against current 4. Speed allocation 5. Effect of displacement and trim 6. Ship design difference 7. Maintenance condition of engine, propeller or hull 21 “How ICT can assist Energy Efficient Fleet Operations”, Hideyuki Ando, MTI, Monohakobi Technology Institute, R&D Company of NYK Line Digital Ship Hamburg 2012, 1 st - 2 nd Feb 2012, Hamburg Magnushall

Monohakobi Technology Institute Identify baseline and added FOC by weather FOC at average 129 MT/day (Added FOC by weather = 12 MT/day) FOC at calm 117 MT/day Pro forma speed (planned speed) 21. 5 knot 22 “How ICT can assist Energy Efficient Fleet Operations”, Hideyuki Ando, MTI, Monohakobi Technology Institute, R&D Company of NYK Line 22 Digital Ship Hamburg 2012, 1 st - 2 nd Feb 2012, Hamburg Magnushall

Monohakobi Technology Institute FOC [MT] Breakdown analysis of additional FOC Speed allocation • • 23 As the result of break down analysis, factors for additional FOC in the voyage are shown quantitatively Compare each FOC factor with past average provides qualitative information “How ICT can assist Energy Efficient Fleet Operations”, Hideyuki Ando, MTI, Monohakobi Technology Institute, R&D Company of NYK Line Digital Ship Hamburg 2012, 1 st - 2 nd Feb 2012, Hamburg Magnushall

Monohakobi Technology Institute Check point of eco voyage ü No drifting, No early arrival ü Reduce speed in rough weather ü Constant M/E load Good practice OAKLAND - TOKYO M/E RPM Speed [knot] Speed (log, SOG) Constant M/E load Optimum M/E load Slip as weather index time [day] Additional FOC: comparison to optimum M/E load = 0. 5 % 24 “How ICT can assist Energy Efficient Fleet Operations”, Hideyuki Ando, MTI, Monohakobi Technology Institute, R&D Company of NYK Line Digital Ship Hamburg 2012, 1 st - 2 nd Feb 2012, Hamburg Magnushall

Monohakobi Technology Institute Check point of eco voyage ü No drifting, No early arrival ü Reduce speed in rough weather ü Constant M/E load Practice can be improved OAKLAND - TOKYO Reduce speed at rough sea M/E RPM Speed [knot] Speed (log, SOG) Higher M/E load Optimum M/E load Encounter rough sea M/E load Slip as weather index time [day] drifting Additional FOC: comparison to optimum M/E load = 8, 2 % 25 “How ICT can assist Energy Efficient Fleet Operations”, Hideyuki Ando, MTI, Monohakobi Technology Institute, R&D Company of NYK Line Digital Ship Hamburg 2012, 1 st - 2 nd Feb 2012, Hamburg Magnushall

Monohakobi Technology Institute Feedback actual weather • Measured wind and ship motion data are feedback to weather Actual wind speed (measured) routing provider Forecast wind speed Ship motion (Maximum roll angle in one hour) Wave height (forecast) 26 “How ICT can assist Energy Efficient Fleet Operations”, Hideyuki Ando, MTI, Monohakobi Technology Institute, R&D Company of NYK Line Digital Ship Hamburg 2012, 1 st - 2 nd Feb 2012, Hamburg Magnushall

Monohakobi Technology Institute Compare estimated ship motion with actual [sec] ship motion simulation criteria actual ship motion and acceleration cargo securing & ship structural safety 27 “How ICT can assist Energy Efficient Fleet Operations”, Hideyuki Ando, MTI, Monohakobi Technology Institute, R&D Company of NYK Line Digital Ship Hamburg 2012, 1 st - 2 nd Feb 2012, Hamburg Magnushall

Monohakobi Technology Institute Concluding remarks 28 “How ICT can assist Energy Efficient Fleet Operations”, Hideyuki Ando, MTI, Monohakobi Technology Institute, R&D Company of NYK Line Digital Ship Hamburg 2012, 1 st - 2 nd Feb 2012, Hamburg Magnushall

Monohakobi Technology Institute Data Center Technology Institute SIMS Overview Weather routing service provider (Ship Information Management System) SIMS auto logging data (per hour) & SPAS electronic abstract logbook data (per day) SIMS Data Collection System Onboard SIMS Monitoring & Analysis System at Shore Inmarsat-F/FB Communications via Technical Management Feedback to captains Operation Center • GPS Singapore, …. • Doppler log Fuel. Navi • Anemometer Report • Gyro Compass Viewer Voyage Analysis Report Break down analysis of fuel consumption for each voyage SIMS Viewer VDR / ECDIS -Trend monitoring of speed, M/E Data Acquisition and Processing <Navigation Bridge> RPM, fuel consumption and other conditions per hour Motion sensor Technical Analysis (MTI) <Engine Room> - Comparing planned schedules and actual schedules • Main Engine • FO flow meter • Torque meter 29 Engine Data Logger “How ICT can assist Energy Efficient Fleet Operations”, Hideyuki Ando, MTI, Monohakobi Technology Institute, R&D Company of NYK Line Digital Ship Hamburg 2012, 1 st - 2 nd Feb 2012, Hamburg Magnushall

Monohakobi Technology Institute Information sharing by real-time and broadband network 15 days forecast 1/12 resolution current Voyage simulation shore onboard Large data size transfer Maritime broad band (FBB, VSAT) Full time connection Route manager (captain and engineer at shore) vessel Actual RPM Recommend speed 30 Feedback 　　to ship performance model Feedback actual weather Actual sea state speed Revise schedule by realtime information Calibration Actual wind & ship motion model Calibrated model actual rpm “How ICT can assist Energy Efficient Fleet Operations”, Hideyuki Ando, MTI, Monohakobi Technology Institute, R&D Company of NYK Line Digital Ship Hamburg 2012, 1 st - 2 nd Feb 2012, Hamburg Magnushall

Monohakobi Technology Institute Concluding remarks • Information sharing among all related parties and cooperation are the key for energy efficiency • Integration of weather routing and performance monitoring is a base system for energy efficient fleet management • Automatic data collection onboard provides high quality and large data sample for making data analytics • High level integration of weather routing, performance monitoring, real-time broadband network and organizations are our next challenges 31 “How ICT can assist Energy Efficient Fleet Operations”, Hideyuki Ando, MTI, Monohakobi Technology Institute, R&D Company of NYK Line Digital Ship Hamburg 2012, 1 st - 2 nd Feb 2012, Hamburg Magnushall

To. Monohakobi Achieve Best Balance of Safety, Economy and Environment Monohakobi Technology Institute September 2011 rev. 5 Roadmap of performance monitoring CO 2 minimize NYK e-Missions’ Weather Routing for Safety 2009 - Best balance S. E. E. SEEMP package • 　Voyage planning • 　Monitoring • Evaluation and action Optimum Fleet Management • C/B maximize with weather routing and monitoring • Minimum emissions with SEEMP • Safety management at rough sea 2012 - Optimum Weather Routing 2014 - Safety + Economy + Schedule 2009 - Broadband Network Real time Weather Routing & Monitoring • Real time communication • Precise ship performance model • Onboard sea-keeping simulation Weather Routing & SIMS Monitoring Onboard Weather Routing Trial 2012 - 2010 - 2005 - 2006 equipment and weather routing • Automatic performance model identification Wave Sensor Accurate Performance Monitoring and feedback to Ship Design Now Performance Monitoring 2010 - Fuel Consumption Monitor FUELNAVI 2007 - 2008 Fleet Monitoring Ship Monitoring SIMS 2008 - 2009 - Technical Performance Analysis • 　Accurate wave and wind measurement • 　Accurate torque and thrust measurement • 　Accurate log speed measurement • 　Accurate fuel consumption measurement • Ship performance model 2012 - • 　Ship appendages • 　Paint • 　M/E governor • 　New design propeller EEDI validation 2008 - Electronic Ablog SPAS 2006 - 32 Smart Ship 2014 - • Minimize emissions • Integration of navigation Performance Validation of Low Emission Machineries • 　Hybrid Turbo Charger • 　Battery (Giga Cell) “How ICT can assist Energy Efficient Fleet Operations”, Hideyuki Ando, MTI, Monohakobi • Technology Institute, R&D Company of NYK Line 　W. H. R Digital Ship Hamburg 2012, 1 st - 2 nd Feb 2012, Hamburg Magnushall 2011 - Feedback to Shipyards & new design

Monohakobi Technology Institute Thank you very much for your attention 33 “How ICT can assist Energy Efficient Fleet Operations”, Hideyuki Ando, MTI, Monohakobi Technology Institute, R&D Company of NYK Line Digital Ship Hamburg 2012, 1 st - 2 nd Feb 2012, Hamburg Magnushall