4. Monohakobi
Technology Institute
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
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
Slow steaming
- 42 %
- 16 %
4
5. Monohakobi
Technology Institute
Monohakobi
Technology Institute
Performance monitoring
- compare total fuel consumption
Comparison of total fuel consumption per voyage
Same 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
FuelConsumption[MT]
More than 30 % difference
5
6. Monohakobi
Technology Institute
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
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
EEOI[g/ton-mile]
Operational measures
• slow steaming
• weather routing
• hull and propeller maintenance
….
Plan Do Check Act
Continuous monitoring &
improvement
6
Importance of Energy Efficient Operation is increasing
8. Monohakobi
Technology Institute
Monohakobi
Technology 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
8
Multi-objective optimization
9. Monohakobi
Technology Institute
Monohakobi
Technology Institute
Management for energy efficient operation
- Needs all related parties participation
Do - navigation
Check – monitoring
Plan – routing
PDCA cycle for
improvement
To encourage all participants efforts for energy efficient operation by sharing
information, good communication and right scheme
9
Act – corrective action
12. Monohakobi
Technology Institute
Monohakobi
Technology Institute
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.
14. Monohakobi
Technology Institute
Monohakobi
Technology 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
14
17. Monohakobi
Technology Institute
Monohakobi
Technology Institute
Integration of Weather Routing with Monitoring
Weather Routing（PLAN）
• Voyage plan
+ weather forecast
+ ship performance model
+ ship motion model
Performance Monitoring（CHECK）
• Actual voyage
+ actual weather
+ ship performance data
+ ship motion data
Feedback
Ship model and weather forecast inherently include errors.
Feedback loop with monitoring can make this system work better.17
18. Monohakobi
Technology Institute
Monohakobi
Technology Institute
Example Implementation of Data 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
18
19. Monohakobi
Technology Institute
Monohakobi
Technology 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 consumption
monitor
serial /
LAN
Ship’s LAN
Inmarsat-FBB
or VSAT
Motion
Sensor serial
FUELNAVI Schematic Diagram
Bridge
E/C
Box Computer
(MOXA)
-data storage
-data transfer
FuelNavi
(PLC: Mitsubishi
MELSEC-Q)
-Data processing
-Calculate statistics
SIMS junction box
serial
19
20. Monohakobi
Technology Institute
Monohakobi
Technology 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
20
Weather routing
service provider
21. Monohakobi
Technology Institute
Monohakobi
Technology Institute
Optimum Weather Routing
Performance Model
Weather Forecast
Voyage
Planning
Noon Report
RPM
Speed
2.Model Calibration
SIMS Data
1.Model Improvement
RPM
Speed
Calibrate Model based on
Actual data
Good Performance Model based
on actual and detail data
SIMS Data
SIMS DataCOmmunication
SIMS Data
Noon Rpt.
Before Model
After Ajustment
Real Data
4.Evaluation
Feedback to Weather
Routing
Feedback
3.Monitoring
Monitoring Gap between
Actual and plan
SIMS Data
Weather Routing
Vessel
Operation
Communication
FOC Safety Schedule
Plan A
Plan B
Plan C
L
78 rpm 82 rpm
Route and RPM
82 rpm
Recommendation
After
Departure
Pre
Voyage
During
Navigation
Post
Voyage
SIMS Data
Integrating Optimum Weather Routing with SIMS
22. Monohakobi
Technology Institute
Monohakobi
Technology Institute
0
20
40
60
80
100
120
140
160
180
0 20 40 60 80 100
Report
New
Old
0
100
200
300
400
500
600
700
800
900
-50 -40 -30 -20 -10 0 10 20 30 40 50
New
Old
RPM Model – Actual [mt/24h]
FOC[mt/24h]
Frequency
Container Ship Sample
Standard deviation reduces from 9.3[mt/24h] to 5.4[mt/24h].
Estimation accuracy improves about 40%.
Zero error peak enhancement
shows accuracy improvement.
σ(old) = 9.3[mt/24h]
σ(new) = 5.4[mt/24h]
22
Performance Model Correction(Pre-voyage)
“Courtesy of WNI”
24. Monohakobi
Technology Institute
Monohakobi
Technology Institute
Improvement of Weather Routing by Broadband
rpm
speed
Calibration
model
Calibrated model
actual
Maritime broadband (FBB, VSAT)
Revise schedule by real-
time information
15 days forecast 1/12 resolution current
Voyage simulation
onboard
vessel
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
24
25. Monohakobi
Technology Institute
Monohakobi
Technology Institute
Rich Weather Content by Fleet Broadband
25
Narrowband Broadband
Frequency 2 times/day 4 times/day
Forecast Range 10days 15days
Grid Size (Current) 1/2 degree 1/32 degree
Current (1/2 degree)
Hi-Resolution Current (1/32 degree)“Courtesy of WNI”
26. Monohakobi
Technology Institute
Monohakobi
Technology Institute
26
Error Monitoring Error Minimization
Error from
Ab-Log analysis or
Past performance
● Reported FOC
● Simulated FOC(WNI)
● Reported FOC
● Simulated FOC(WNI)
Semi-auto
Calibration
Vessel Performance DB Voyage Plan
Voyage
Records
Simulation Setting
based on the similar
voyage recodes
Error becomes small
About 5mt
under-
estimation
All of data
within ±2.5mt
difference
This process
can be applied for
BROB-difference
or M/E FOC.
Estimation of total
FOC is improved.
Underway
process
Real-time Performance Model Correction
“Courtesy of WNI”
28. Monohakobi
Technology Institute
Monohakobi
Technology Institute
Further Improvement
Uncertainties
Weather Forecast
Ship Performance Ship Motion
Continuous effort is required
for reducing uncertainties in
weather routing
- Reducing gap between
estimate and actual
- Monitoring and feedback
Uncertainties
30. Monohakobi
Technology Institute
Monohakobi
Technology Institute
Compare Optimum Trim Estimation with Actual
30
Optimum trim estimation
(reasoning by model test, simulation)
Trim trial with
performance monitoring
Comparison
The relation of propulsive performance and trim are physically complex problem.
32. Monohakobi
Technology Institute
Monohakobi
Technology Institute
Expectation on Broadband
Estimation
Monitoring
Feedback Weather Routing
Enhancement of monitoring plays a key roll to improve weather routing.
Installation of broadband will accelerate the cycle of improvement.
Improvement
Ship performance, ship motion, draft and trim, wave height,,,,,,,,,,,,,,
33. Monohakobi
Technology Institute
Monohakobi
Technology Institute
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
33
