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
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Outline
• Background
• Energy Efficient Fleet Operation
• Performance monitoring
• Data analytics
• Conclusion remarks
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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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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
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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
CO2 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, 1st - 2nd Feb 2012, Hamburg Magnushall
- 16 %
- 42 %
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Performance monitoring
- compare total fuel consumption or EEOI
Comparison of total fuel consumption per voyage
Same ship size and same voyage
More than 30 % difference
7,000
Fuel Consumption [MT]
6,000
5,000
4,000
3,000
2,000
1,000
0
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
• Same ship size and same voyage – but total amounts of fuel
consumption largely differ
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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
Operational measures
EEOI trend
• slow steaming
6
• weather routing
5
EEOI [g/ton-mile]
• hull and propeller maintenance
….
Plan
Do
Check
Act
4
3
2
1
0
Continuous monitoring &
improvement
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Voy. 1
Voy. 2
Voy. 3
Voy. 4
Voy. 5
Voy. 6
Voy. 7
Voyage number
“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
Voy. 8
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Energy Efficient Fleet Operation
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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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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
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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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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
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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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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
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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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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.
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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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Fleet monitoring at shore
• Shore operation manages fleet
– Keep safety, schedule and minimize cost
– Provide awareness by comparing voyage plan and monitoring data
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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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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
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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
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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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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
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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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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)
Doppler log (speed)
NMEA
Gyro compass (heading) NMEA
Anemometer (rel. wind)
Bridge
FuelNavi
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 mA
F.O. flow meter
S.H.P
Master clock
pulse
4-20 mA
F.O. temperature
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Sea water temp.
E/R temp.
pulse
4-20 mA
4-20 mA
4-20 mA
“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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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
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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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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
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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
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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
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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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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
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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
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“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, 1st - 2nd Feb 2012, Hamburg Magnushall
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Breakdown analysis of additional FOC
300.0
250.0
FOC [MT]
Voy. 45
200.0
average
148.4
150.0
100.0
77.5
47.1
50.0
10.5
27.8
32.9 35.7
15.4
0.0
Distance
•
•
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Speed
Weather
Optimum
Load
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
“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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Check point of eco voyage
 No drifting, No early arrival
 Reduce speed in rough weather
 Constant M/E load
Good practice
OAKLAND - TOKYO
M/E RPM
Speed [knot]
Speed (log, SOG)
Constant M/E load
Optimum M/E load
M/E load
Slip as weather index
time [day]
Additional FOC: comparison to optimum M/E load = 0.5 %
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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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Check point of eco voyage
 No drifting, No early arrival
 Reduce speed in rough weather
 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 %
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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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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)
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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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Compare estimated ship motion with actual
[sec]
ship motion simulation
criteria
actual ship motion and acceleration
cargo securing & ship structural safety
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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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Concluding remarks
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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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Data Center
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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
Singapore, ….
• GPS
• Doppler log
FuelNavi
• Anemometer
Report
• Gyro Compass
Viewer
Voyage Analysis Report
Break down analysis of fuel
consumption for each voyage
SIMS Viewer
VDR / ECDIS
Data Acquisition and
Processing
<Navigation Bridge>
-Trend monitoring of speed, M/E
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
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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, 1st - 2nd Feb 2012, Hamburg Magnushall
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Information sharing by real-time and broadband network
15 days forecast
1/12 resolution current
Voyage simulation
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
Actual sea state
Recommend
RPM
Recommend speed
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Feedback to ship
performance model
Feedback actual
weather
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, 1st - 2nd Feb 2012, Hamburg Magnushall
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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
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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
ToMonohakobi
Achieve Best Balance of Safety, Economy and Environment
Monohakobi
Technology Institute
Technology Institute
September 2011 rev.5
Roadmap of performance monitoring
CO2 minimize
Weather Routing
for Safety
Best balance S.E.E.
SEEMP package
• Voyage planning
• Monitoring
• Evaluation and action
NYK e-Missions’
2009 -
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
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
•
•
•
•
Ship appendages
Paint
M/E governor
New design propeller
2008 -
Electronic Ablog
SPAS
2006 -
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Smart Ship 2014 -
• Minimize emissions
• Integration of navigation
equipment and weather routing
• Automatic performance model
identification
•
•
•
•
•
Accurate wave and wind measurement
Accurate torque and thrust measurement
Accurate log speed measurement
Accurate fuel consumption measurement
Ship performance model
2012 -
EEDI
validation
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
• W.H.R Institute, R&D Company of NYK Line
Digital Ship Hamburg 2012, 1st - 2nd Feb 2012, Hamburg Magnushall 2011 -
Feedback to
Shipyards &
new design
Monohakobi
Monohakobi
Technology Institute
Technology Institute
Thank you very much for your attention
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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