how ict can assist energy efficient fleet operations digital ship hamburg 1 – 2 february 2012
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© Copyright 2006Monohakobi Technology Institute
MonohakobiTechnology InstituteMonohakobiTechnology Institute
How ICT can assist Energy Efficient Fleet Operations
Digital Ship Hamburg1 – 2 February 2012
Hideyuki AndoTechnical Strategy Group, MTI (Monohakobi Technology
Institute)R&D company of NYK Line
“How ICT can assist Energy Efficient Fleet Operations”, Hideyuki Ando, MTI, Monohakobi Technology Institute, R&D Company of NYK Line
Digital Ship Hamburg 2012, 1st - 2nd Feb 2012, Hamburg Magnushall
MonohakobiTechnology InstituteMonohakobiTechnology 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, 1st - 2nd Feb 2012, Hamburg Magnushall
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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, 1st - 2nd Feb 2012, Hamburg Magnushall
MonohakobiTechnology InstituteMonohakobiTechnology 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 containerShip 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
CO2 emission 696 ton/day 403 ton/day
Slow steaming
- 42 %
- 16 %
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“How ICT can assist Energy Efficient Fleet Operations”, Hideyuki Ando, MTI, Monohakobi Technology Institute, R&D Company of NYK Line
Digital Ship Hamburg 2012, 1st - 2nd Feb 2012, Hamburg Magnushall
MonohakobiTechnology InstituteMonohakobiTechnology Institute
Performance monitoring- compare total fuel consumption or EEOI
• Same ship size and same voyage – but total amounts of fuel consumption largely differ
Comparison of total fuel consumption per voyageSame ship size and same voyage
0
1,000
2,000
3,000
4,000
5,000
6,000
7,000
A -1 B-1 C-1 D-1 E-1 F-1 G-1 A-2 B-2 C-2 D-2 F-2 G-2
Vessel - Voyage
Fuel
Con
sum
ptio
n [M
T]
More than 30 % difference
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“How ICT can assist Energy Efficient Fleet Operations”, Hideyuki Ando, MTI, Monohakobi Technology Institute, R&D Company of NYK Line
Digital Ship Hamburg 2012, 1st - 2nd Feb 2012, Hamburg Magnushall
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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
EEOI trend
0
1
2
3
4
5
6
Voy. 1 Voy. 2 Voy. 3 Voy. 4 Voy. 5 Voy. 6 Voy. 7 Voy. 8
Voyage number
EEO
I [g
/ton
-mile
]Operational measures
• slow steaming
• weather routing
• hull and propeller maintenance
….
Plan Do Check Act
Continuous monitoring & improvement
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“How ICT can assist Energy Efficient Fleet Operations”, Hideyuki Ando, MTI, Monohakobi Technology Institute, R&D Company of NYK Line
Digital Ship Hamburg 2012, 1st - 2nd Feb 2012, Hamburg Magnushall
MonohakobiTechnology InstituteMonohakobiTechnology 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, 1st - 2nd Feb 2012, Hamburg Magnushall
MonohakobiTechnology InstituteMonohakobiTechnology Institute
Fleet operation
Snapshot from NYK e-Missions’NYK fleet: about 800 vessels now
• Best balance of safety, economy and environment– No cargo and ship damage– Keep schedule– Maximize charter base (minimize cost)– Minimize emissions
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“How ICT can assist Energy Efficient Fleet Operations”, Hideyuki Ando, MTI, Monohakobi Technology Institute, R&D Company of NYK Line
Digital Ship Hamburg 2012, 1st - 2nd Feb 2012, Hamburg Magnushall
MonohakobiTechnology InstituteMonohakobiTechnology Institute
Management for energy efficient operation- Needs all related parties participation
Do - navigation
Check – monitoring
Plan – routing
PDCA cycle forimprovement
To encourage all participants efforts for energy efficient operation by sharing information, good communication and right scheme
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Act – corrective action
“How ICT can assist Energy Efficient Fleet Operations”, Hideyuki Ando, MTI, Monohakobi Technology Institute, R&D Company of NYK Line
Digital Ship Hamburg 2012, 1st - 2nd Feb 2012, Hamburg Magnushall
MonohakobiTechnology InstituteMonohakobiTechnology Institute
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
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, 1st - 2nd Feb 2012, Hamburg Magnushall
MonohakobiTechnology InstituteMonohakobiTechnology Institute
Integration of weather routing and monitoring
Weather Routing ( PLAN )
• Voyage plan
+ course, speed, RPM, FOC, weather
+ ship performance model
Monitoring ( CHECK )
• Voyage actual
+ actual speed – RPM, RPM - FOC
+ actual weatherFeedback
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, 1st - 2nd Feb 2012, Hamburg Magnushall
MonohakobiTechnology InstituteMonohakobiTechnology 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, 1st - 2nd Feb 2012, Hamburg Magnushall
MonohakobiTechnology InstituteMonohakobiTechnology 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, 1st - 2nd Feb 2012, Hamburg Magnushall
MonohakobiTechnology InstituteMonohakobiTechnology Institute
Performance monitoring for right awareness
• If awareness is wrong, decision making and action will be wrong
• Share correct and necessary information in right time by utilizing ICT
Awareness Decision making ActionMonitoring target
Monitoring target
Performance monitoring
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“How ICT can assist Energy Efficient Fleet Operations”, Hideyuki Ando, MTI, Monohakobi Technology Institute, R&D Company of NYK Line
Digital Ship Hamburg 2012, 1st - 2nd Feb 2012, Hamburg Magnushall
MonohakobiTechnology InstituteMonohakobiTechnology Institute
Example implementation ofdata collection box onboard
• 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
Flow meter
FUELNAVI
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“How ICT can assist Energy Efficient Fleet Operations”, Hideyuki Ando, MTI, Monohakobi Technology Institute, R&D Company of NYK Line
Digital Ship Hamburg 2012, 1st - 2nd Feb 2012, Hamburg Magnushall
MonohakobiTechnology InstituteMonohakobiTechnology Institute
Engine Data Logger
GPS (speed, course) NMEA
Doppler log (speed) NMEA
Gyro compass (heading) NMEA
Anemometer (rel. wind) NMEA
RPM 4-20 mA
F.O. flow meter pulse
S.H.P 4-20 mA
Master clock pulse
F.O. temperature 4-20 mA
Sea water temp. 4-20 mA
E/R temp. 4-20 mA
serial / LAN
GOT monitor-Fuel consumptionmonitor
serial / LAN
Ship’s LAN
Inmarsat-FBor VSAT
MotionSensor serial
FUELNAVI schematic diagram
Bridge
E/C
Box Computer(MOXA)-data storage-data transfer
FuelNavi
(PLC: MitsubishiMELSEC-Q)
-Data processing-Calculate statistics
SIMS junction box
serial
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“How ICT can assist Energy Efficient Fleet Operations”, Hideyuki Ando, MTI, Monohakobi Technology Institute, R&D Company of NYK Line
Digital Ship Hamburg 2012, 1st - 2nd Feb 2012, Hamburg Magnushall
MonohakobiTechnology InstituteMonohakobiTechnology Institute
Interval of monitoring data
• Existing data collection approaches– Manual reporting (every 24
hrs)– Automatic data collection
(sampling can be every 1 sec)
• Every 1 hour data give detail information about performance– Speed increasing profile and
effect of current can be seen in the 1 hour interval graph.
Data interval: 24 hours
Data interval: 1 hour
Data interval comparisonred: OG speed, black: log speed
Ship type: VLCC
time (hour)
time (hour)
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“How ICT can assist Energy Efficient Fleet Operations”, Hideyuki Ando, MTI, Monohakobi Technology Institute, R&D Company of NYK Line
Digital Ship Hamburg 2012, 1st - 2nd Feb 2012, Hamburg Magnushall
MonohakobiTechnology InstituteMonohakobiTechnology 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
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“How ICT can assist Energy Efficient Fleet Operations”, Hideyuki Ando, MTI, Monohakobi Technology Institute, R&D Company of NYK Line
Digital Ship Hamburg 2012, 1st - 2nd Feb 2012, Hamburg Magnushall
MonohakobiTechnology InstituteMonohakobiTechnology Institute
Data analytics
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“How ICT can assist Energy Efficient Fleet Operations”, Hideyuki Ando, MTI, Monohakobi Technology Institute, R&D Company of NYK Line
Digital Ship Hamburg 2012, 1st - 2nd Feb 2012, Hamburg Magnushall
MonohakobiTechnology InstituteMonohakobiTechnology 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.
To
tal F
OC
Analysis and
identifyShip base performance
Effect of ship hull condition
Effect of draft and trim
Effect of weather
Effect of speed increase
Effect of speed allocation
Effect of distance increase
Generator use
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“How ICT can assist Energy Efficient Fleet Operations”, Hideyuki Ando, MTI, Monohakobi Technology Institute, R&D Company of NYK Line
Digital Ship Hamburg 2012, 1st - 2nd Feb 2012, Hamburg Magnushall
MonohakobiTechnology InstituteMonohakobiTechnology 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
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“How ICT can assist Energy Efficient Fleet Operations”, Hideyuki Ando, MTI, Monohakobi Technology Institute, R&D Company of NYK Line
Digital Ship Hamburg 2012, 1st - 2nd Feb 2012, Hamburg Magnushall
MonohakobiTechnology InstituteMonohakobiTechnology Institute
Identify baseline and added FOC by weather
22 22
Pro forma speed (planned speed) 21.5 knot
FOC at calm 117 MT/day
FOC at average 129 MT/day(Added FOC by weather = 12 MT/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, 1st - 2nd Feb 2012, Hamburg Magnushall
MonohakobiTechnology InstituteMonohakobiTechnology Institute
Breakdown analysis of additional FOC
10.527.8
148.4
32.947.1
15.4
77.5
35.7
0.0
50.0
100.0
150.0
200.0
250.0
300.0
Distance Speed Weather Optimum Load
Voy. 45
average
Speed allocation
• 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
FOC
[M
T]
23
“How ICT can assist Energy Efficient Fleet Operations”, Hideyuki Ando, MTI, Monohakobi Technology Institute, R&D Company of NYK Line
Digital Ship Hamburg 2012, 1st - 2nd Feb 2012, Hamburg Magnushall
MonohakobiTechnology InstituteMonohakobiTechnology Institute
Good practiceOAKLAND - TOKYO
time [day]
Speed [
knot]
M/E load
M/E RPM
Speed (log, SOG)
Slip as weather index
Check point of eco voyage No drifting, No early arrival Reduce speed in rough weather Constant M/E load
Check point of eco voyage No drifting, No early arrival Reduce speed in rough weather Constant M/E load
Additional FOC: comparison to optimum M/E load = 0.5 %
Optimum M/E load
Constant M/E load
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, 1st - 2nd Feb 2012, Hamburg Magnushall
MonohakobiTechnology InstituteMonohakobiTechnology Institute
Practice can be improved OAKLAND - TOKYO
time [day]
Speed [
knot]
M/E RPM
Speed (log, SOG)
Slip as weather index
Additional FOC: comparison to optimum M/E load = 8,2 %
Optimum M/E load M/E load
Higher M/E load
Reduce speed at rough sea
drifting
Encounter rough sea
Check point of eco voyage No drifting, No early arrival Reduce speed in rough weather Constant M/E load
Check point of eco voyage No drifting, No early arrival Reduce speed in rough weather Constant M/E load
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, 1st - 2nd Feb 2012, Hamburg Magnushall
MonohakobiTechnology InstituteMonohakobiTechnology Institute
Feedback actual weather • Measured wind and ship motion data are feedback to
weather routing provider
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Actual wind speed (measured)Forecast wind speed
Ship motion (Maximum roll angle in one hour)
Wave height (forecast)
“How ICT can assist Energy Efficient Fleet Operations”, Hideyuki Ando, MTI, Monohakobi Technology Institute, R&D Company of NYK Line
Digital Ship Hamburg 2012, 1st - 2nd Feb 2012, Hamburg Magnushall
MonohakobiTechnology InstituteMonohakobiTechnology Institute
Compare estimated ship motion with actual
ship motion simulation actual ship motion and acceleration
cargo securing & ship structural safety
criteria
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[sec]
“How ICT can assist Energy Efficient Fleet Operations”, Hideyuki Ando, MTI, Monohakobi Technology Institute, R&D Company of NYK Line
Digital Ship Hamburg 2012, 1st - 2nd Feb 2012, Hamburg Magnushall
MonohakobiTechnology InstituteMonohakobiTechnology 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, 1st - 2nd Feb 2012, Hamburg Magnushall
MonohakobiTechnology InstituteMonohakobiTechnology Institute
SIMS Overview(Ship Information Management System)
VDR / ECDIS
Engine Data Logger
Data Acquisition and Processing
SIMS Viewer
-Trend monitoring of speed, M/E RPM, fuel consumption and other conditions per hour
- Comparing planned schedules and actual schedules• Main Engine
• FO flow meter
• Torque meter
• GPS
• Doppler log
• Anemometer
• Gyro Compass
Inmarsat-F/FB
<Navigation Bridge>
<Engine Room>
Viewer
Motion sensor
Data Center
SIMS Monitoring & Analysis System at Shore
Operation Center
Singapore, ….
Technical Analysis (MTI)
Voyage Analysis Report Break down analysis of fuel consumption for each voyage
Feedback to captains
SIMS Data Collection System Onboard
Report
SIMS auto logging data (per hour) & SPAS electronic
abstract logbook data (per day)
Communications via Technical Management
FuelNavi
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Weather routing service provider
“How ICT can assist Energy Efficient Fleet Operations”, Hideyuki Ando, MTI, Monohakobi Technology Institute, R&D Company of NYK Line
Digital Ship Hamburg 2012, 1st - 2nd Feb 2012, Hamburg Magnushall
MonohakobiTechnology InstituteMonohakobiTechnology InstituteInformation sharing by real-time and broadband network
rpmsp
ee
d
Calibrationmodel
Calibrated model
actual
Maritime broad band (FBB, VSAT)
Revise schedule by real-time information
15 days forecast 1/12 resolution current
Voyage simulation
onboard
vesselRoute manager
(captain and engineer at shore)
Recommend RPM
Actual RPM
Recommend speed
Feedback to ship performance model
Full time connection
Large data size transfer
Voyage simulation
shore
Feedback actual weather
Actual sea state
Actual wind & ship motion
30
“How ICT can assist Energy Efficient Fleet Operations”, Hideyuki Ando, MTI, Monohakobi Technology Institute, R&D Company of NYK Line
Digital Ship Hamburg 2012, 1st - 2nd Feb 2012, Hamburg Magnushall
MonohakobiTechnology InstituteMonohakobiTechnology 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, 1st - 2nd Feb 2012, Hamburg Magnushall
MonohakobiTechnology InstituteMonohakobiTechnology InstituteRoadmap of performance monitoring
Onboard Weather Routing Trial
2005 - 2006
Fuel ConsumptionMonitor FUELNAVI
2007 - 2008
ShipMonitoring
SIMS
Fleet Monitoring
Performance Monitoring
2008 -
Now
Electronic AblogSPAS2006 -
Weather Routingfor Safety
Optimum Weather RoutingSafety + Economy + Schedule
Weather Routing& SIMS Monitoring
2010 -
NYK e-Missions’
Real time Weather Routing& Monitoring • Real time communication• Precise ship performance model• Onboard sea-keeping simulation
WaveSensor
BroadbandNetwork Smart Ship
• Minimize emissions• Integration of navigationequipment and weather routing• Automatic performance model identification
Technical Performance Analysis• Ship appendages• Paint• M/E governor• New design propeller
Performance Validation of Low Emission Machineries• Hybrid Turbo Charger• Battery (Giga Cell)• W.H.R
Accurate Performance Monitoringand feedback to Ship Design• Accurate wave and wind measurement• Accurate torque and thrust measurement• Accurate log speed measurement• Accurate fuel consumption measurement• Ship performance model
EEDIvalidation
Feedback toShipyards & new design
September 2011 rev.5
2009 -
2009 -
2012 -
2008 -
2011 -
2012 -2009 -
2010 -
To Achieve Best Balance of Safety, Economy and Environment
2014 -
SEEMP package• Voyage planning• Monitoring• Evaluation and action
2012 -
Optimum Fleet Management• C/B maximize with weather routingand monitoring • Minimum emissions with SEEMP• Safety management at rough sea
CO2 minimizeBest balance S.E.E.
2014 -
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“How ICT can assist Energy Efficient Fleet Operations”, Hideyuki Ando, MTI, Monohakobi Technology Institute, R&D Company of NYK Line
Digital Ship Hamburg 2012, 1st - 2nd Feb 2012, Hamburg Magnushall
MonohakobiTechnology InstituteMonohakobiTechnology Institute
Thank you very much for your attention
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