1 / 33

How ICT Can Assist Energy Efficient Fleet Operations

How ICT Can Assist Energy Efficient Fleet Operations. -How Broadband Changes Quality of Weather Routing Digital Ship Singapore 22-23, May, 2012. Ryo Kakuta Technical Strategy Group, MTI (Monohakobi Technology Institute) R&D company of NYK Line. Outline. Background

dougal
Download Presentation

How ICT Can Assist Energy Efficient Fleet Operations

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. How ICT Can Assist Energy Efficient Fleet Operations -How Broadband Changes Quality of Weather Routing Digital Ship Singapore 22-23, May, 2012 Ryo Kakuta Technical Strategy Group, MTI (Monohakobi Technology Institute) R&D company of NYK Line

  2. Outline • Background • Energy Efficient Fleet Operations • Optimum Weather Routing • Weather Routing and Monitoring • Improvement of Weather Routing by Broadband • Next Challenge

  3. Background

  4. 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 Slow steaming - 16 % - 42 %

  5. Performance monitoring- compare total fuel consumption • Same ship size and same voyage – but total amounts of fuel consumption largely differ More than 30 % difference

  6. 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 Importance of Energy Efficient Operation is increasing

  7. Energy Efficient Fleet Operations

  8. Best balance of safety, economy and environment No cargo and ship damage Keep schedule Maximize charter base (minimize cost) Minimize emissions Fleet operation Snapshot from NYK e-Missions’ NYK fleet: about 800 vessels now Multi-objective optimization

  9. 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

  10. Challenge to Optimize Fleet Operation in NYK Real-time Operation Monitoring Weather Routing Broadband Concept to Realization! Figure from “More Than Shipping 2013”

  11. Introduction of Onboard Broadband on NYK Fleet - Improve Infrastructure Reducing CO2 emissions by introducing onboard broadband

  12. IBIS (Innovative Bunker and Idle-time Saving) PJ - Effective Utilization of Broadband Sharing Information including weather, sea forecasts, sea-current, and ship-operation data between land and ships in real time.

  13. Optimum Weather Routing

  14. Optimum Weather Routing • Role of weather routing • (past) Avoiding severe weather • (now) Optimum weather routing Best balance of • Safety • Schedule keep • Economy • Environment • Necessary technology for optimum weather routing • Ship performance model • RPM – speed – fuel consumption • Ship motion and performance in severe weather Way points Routes and weather

  15. Optimum Weather Routing-Necessity of Ship Performance Model “Courtesy of WNI”

  16. Weather Routing and Monitoring

  17. Integration of Weather Routing with Monitoring Performance Monitoring（CHECK） Weather Routing（PLAN） • Actual voyage • + actual weather • + ship performance data • + ship motion data • Voyage plan • + weather forecast • + ship performance model • + ship motion model Feedback Ship model and weather forecast inherently include errors. Feedback loop with monitoring can make this system work better.

  18. 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 withoutmaintenance • Lower cost of implementation • Flexibility of customization FUELNAVI

  19. Inmarsat-FBB or VSAT FUELNAVI Schematic Diagram Ship’s LAN SIMS junction box • Box Computer • (MOXA) • data storage • data transfer Motion Sensor serial serial GPS (speed, course) NMEA • FuelNavi • (PLC: Mitsubishi • MELSEC-Q) • Data processing • Calculate statistics Doppler log (speed) NMEA Gyro compass (heading) NMEA • GOT monitor • Fuel consumption • monitor Anemometer (rel. wind) NMEA serial / LAN Bridge serial / LAN E/C Engine Data Logger RPM 4-20 mA Master clock pulse F.O. flow meter pulse Sea water temp. 4-20 mA S.H.P 4-20 mA E/R temp. 4-20 mA F.O. temperature 4-20 mA

  20. Viewer SIMS Overview(Ship Information Management System) Data Center Weather routing service provider SIMS auto logging data (per hour) & SPAS electronic abstract logbook data (per day) SIMS Monitoring & Analysis System at Shore SIMS Data Collection System Onboard Inmarsat-F/FB Communications via Technical Management Feedback to captains Operation Center Singapore, …. • GPS • Doppler log • Anemometer • Gyro Compass FuelNavi Report Voyage Analysis Report Break down analysis of fuel consumption for each voyage VDR / ECDIS • SIMS Viewer • Trend monitoring of speed, M/E RPM, fuel consumption and other conditions per hour • Comparing planned schedules and actual schedules Data Acquisition and Processing Motion sensor <Navigation Bridge> Technical Analysis (MTI) <Engine Room> • Main Engine • FO flow meter • Torque meter Engine Data Logger

  21. Integrating Optimum Weather Routing with SIMS Feedback Optimum Weather Routing 4.Evaluation Post Voyage Weather Forecast Feedback to Weather Routing Voyage Planning Operation Communication COmmunication SIMS Data Communication Recommendation Performance Model 82 rpm 78 rpm SIMS Data 82 rpm L 3.Monitoring Route and RPM Monitoring Gap between Actual and plan Weather Routing Vessel Communication SIMS Data During Navigation 2.Model Calibration After Departure Pre Voyage 1.Model Improvement Before Model Noon Report SIMS Data After Ajustment Speed Noon Rpt. Speed Real Data SIMS Data Good Performance Model based on actual and detail data Calibrate Model based on Actual data RPM RPM SIMS Data

  22. Performance Model Correction(Pre-voyage) Container Ship Sample Zero error peak enhancement shows accuracy improvement. Frequency FOC [mt/24h] σ(old) = 9.3[mt/24h] σ(new) = 5.4[mt/24h] RPM Model – Actual [mt/24h] Standard deviation reduces from 9.3[mt/24h] to 5.4[mt/24h]. Estimation accuracy improves about 40%. 22 “Courtesy of WNI”

  23. Improvement of Weather Routing by Broadband

  24. Improvement of Weather Routing by Broadband 15 days forecast 1/12 resolution current Voyage simulation shore Voyage simulation onboard Large data size transfer Maritime broadband (FBB, VSAT) Full time connection Captain and engineer at shore vessel Feedback to ship performance model Revise schedule by real-time information Feedback actual weather Actual RPM model Actual sea state Calibration Calibrated model Recommend RPM speed actual Actual wind & ship motion rpm Recommend speed

  25. Rich Weather Contentby Fleet Broadband Current (1/2 degree) “Courtesy of WNI” Hi-Resolution Current (1/32 degree)

  26. Real-time Performance Model Correction Vessel Performance DB Voyage Plan Simulation Setting based on the similar voyage recodes Voyage Records Error Monitoring Error Minimization Semi-auto Calibration Error becomes small Error from Ab-Log analysis or Past performance Underway process ● Reported FOC ● Simulated FOC(WNI) ● Reported FOC ● Simulated FOC(WNI) This process can be applied for BROB-difference or M/E FOC. Estimation of total FOC is improved. All of data within ±2.5mt difference About 5mt under- estimation “Courtesy of WNI”

  27. Next Challenge

  28. Further Improvement Weather Forecast • Continuous effort is required • for reducing uncertainties in • weather routing • Reducing gap between estimate and actual • - Monitoring and feedback Ship Performance Ship Motion Uncertainties Uncertainties

  29. Compare Estimated Ship Performance with Actual Ship Performance Model Actual Performance and Weather Comparison Weather Forecast Estimate Actual Measuring actual wave height remains a challenge. Wave Height Meter

  30. Compare Optimum Trim Estimation with Actual Comparison Trim trial with performance monitoring Optimum trim estimation (reasoning by model test, simulation) The relation of propulsive performance and trim are physically complex problem.

  31. Compare Estimated Ship Motion with Actual [sec] ship motion simulation actual ship motion and acceleration criteria cargo securing & ship structural safety

  32. Expectation on Broadband Weather Routing Improvement Ship performance, ship motion, draft and trim, wave height,,,,,,,,,,,,,, Enhancement of monitoring plays a key roll to improve weather routing. Installation of broadband will accelerate the cycle of improvement.

  33. Concluding remarks • NYK aims to optimize fleet operation by integrating weather routing, monitoring and broadband • Installation of broadband enables sending rich weather content to vessels and real-time weather routing • For reducing uncertainties in weather routing, the cycle of estimation, monitoring and feedback is required • Broadband will contribute to acceleration of the cycle

More Related