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Port seminar 2007
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SHIP TRAFFIC SIMULATION STUDY
PORT EXTENSION,
CASE PORT OF ROTTERDAM
By: R. Groenveld
extension
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Growth from 320 million tons/year in 2004 to 480
million tons/year in 2020Growth from 30,000 to 46,000 sea going vessels
Reclamation of 1000 ha, called Maasvlakte 2
Introduction
Extension
Why extension
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Rotterdam port extension
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Port objectives :
A safe and smooth handling of marine traffic
Safe:
Present safety level should be maintained
Smooth:
Service level should fulfill the demands of theship owners
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Traffic flow simulation model
To determine the capacity of the port extension
With an adequate service level( mostly ship waiting times are used as service levelindicator )
With an adequate safety level(the safety level can be secured by traffic rules)
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Model SpecificationComponent Name module Process describtion
Generator Genprocess Generates the ship traffic and assigns the attributes of the ship
Ship Shipprocess Describes the process of the component ship
Quay master Qmasterprocess Checks the availability of the quay and assigns the berth to a requestingvessel
VTS vtsprocess Checks tidal conditions and traffic situation
Terminaloperator
Termprocess Determines the service time (dwell time along the quay)
Tidal conditions Tideprocess Determines the tidal conditions
Tug Tugprocess Registers the number of tugs in operation
Sectionoccupation
Occupationsections Reserves the occupation of a channel section
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Masterplan
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Configuration model port extension
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Manoeuvring simulator studies
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Number vessels per ship c lassDestination 1 2 3 4 5 6 Total GeneratorsCaland kanaal 1500 1250 1000 750 500 0 5000 1 tot 5MOT 0 0 0 0 40 92 132 6 tot 7TOR 0 771 86 0 0 0 857 8 tot 9LYONDELL 182 182 0 0 0 0 364 10 tot 11
APM 0 567 185 207 131 0 1090 12 tot 15ECT Europa 0 536 175 196 124 0 1031 16 tot 19ECT Amazone 0 1072 350 392 247 0 2061 20 tot 23EMO 91 91 259 0 6 36 483 24 tot 28NEREFCO 140 455 105 0 0 700 29 tot 31Stad Rott 10310 7896 2752 212 0 0 21170 31 tot 35
Totaal 32888
Fleets
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Ship traffic rules
Safety distance onentering
Simulation model
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Ship traffic rules
Encounter / Overtakemanoeuvres
Simulation model
Traffic Rules
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Section 3 Ship class, overtaking Ship class, encoumter
1 2 3 4 5 6 7 8 Section 3 1 2 3 4 5 6 7 8
Class 1 1 1 1 1 1 1 1 1 Class 1 1 1 1 1 1 1 1 1
Class 2 1 1 1 1 1 1 1 1 Class 2 1 1 1 1 1 1 1 1
Class 3 1 1 1 1 1 1 1 1 Class 3 1 1 1 1 1 1 1 1
Class 4 1 1 1 1 1 0 0 1 Class 4 1 1 1 1 1 1 1 1
Class 5 1 1 1 1 0 0 0 1 Class 5 1 1 1 1 0 0 0 1
Class 6 1 1 1 0 0 0 0 1 Class 6 1 1 1 1 0 0 0 1
Class 7 1 1 1 0 0 0 0 0 Class 7 1 1 1 1 0 0 0 0
Class 8 1 1 1 1 1 1 0 1 Class 8 1 1 1 1 1 1 0 1
Sect ie 4 Ship class, overtaki ng Ship class, encounter
1 2 3 4 5 6 7 8 Sectie 4 1 2 3 4 5 6 7 8
Class 1 1 1 1 1 1 1 0 1 Class 1 1 1 1 1 1 1 0 1
Class 2 1 1 1 1 1 1 0 1 Class 2 1 1 1 1 1 1 0 1
Class 3 1 1 0 0 0 0 0 1 Class 3 1 1 1 1 1 0 0 1
Class 4 1 1 0 0 0 0 0 1 Class 4 1 1 1 1 1 0 0 1
Class 5 1 1 0 0 0 0 0 1 Class 5 1 1 1 1 0 0 0 1
Class 6 1 1 0 0 0 0 0 1 Class 6 1 1 0 0 0 0 0 1
Class 7 0 0 0 0 0 0 0 0 Class 7 0 0 0 0 0 0 0 0
Class 8 1 1 1 1 1 1 0 1 Class 8 1 1 1 1 1 1 0 1
Traffic Rules
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Ship traffic rules
Mooring/turning basinsareas
Simulation model
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Vessel types
Type 8, Roro length 215 m, draught max 7
Type 7, LNG, length 315, draught max 13 m
Type 6, Channel bound Length>300 m Draft>17.4
Type 5, Semi channel bound, Length>300 m Draft14.3- 17.4 m
Type 4, Length>300, Draft
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Simulation model
Vessel types
Length > 300 m
draught 14.3 -17.4 m
Type 8, Roro length 215 m, draught max 7
Type 7, LNG, length 315, draught max 13 m
Type 6, Channel bound Length>300 m Draft>17.4
Type 5, Semi channel bound, Length>300 m Draft14.3- 17.4 m
Type 4, Length>300, Draft
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Simulation model
Vessel types
Length > 300 m
Draught > 17.4 m
Type 8, Ro ro length 215 m, draught max 7
Type 7, LNG, length 315, draught max 13 m
Type 6, Channel bound Length>300 m Draft>17.4
Type 5, Semi channel bound, Length>300 m Draft14.3- 17.4 m
Type 4, Length>300, Draft
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Simulation model
Vessel types
Type 8, Roro length 215 m, draught max 7 mType 7, LNG, length 315, draught max 13 m
Type 6, Channel bound Length>300 m Draft> 17.4
Type 5, Semi channel bound, Length>300 m Draft 14.3- 17.4 m
Type 4, Length>300, Draft
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Track and sailing times in the different
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DestinationTerm. 6West 1 2 3 4 10 11 42 43 46 49 55 58 59 60 61 62 totaal man.
Class 2 24 16 8 6 5 5 9 8 16 5 5 5 5 6 3 20 146 s62
Class 3 24 16 10 8 7 8 11 8 16 6 5 5 5 8 6 30 173 s62
Class 4 24 16 10 8 8 8 11 8 16 6 6 6 6 8 6 30 177 s62
Class 5 24 16 10 8 8 8 11 8 16 6 6 6 6 8 6 30 177 s62
Ship track
Track and sailing times in the differentsections
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Validation and speed sensitivity for
the year 2004Cases simulated :
1. Maximum speed of vessels2. Reduced vessel speeds3. Leveled vessel speeds4. Maximum vessel speeds with reduced safety distances
Destination Europoort
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Destination Europoort
0%
20%
40%60%
80%
100%
120%
140%
160%
180%
1 2 3 4 5ship class
% o
f c a s e
4
Max. speed (case 1)
Reduced speeds (case 2)
Leveled speeds (case 3)
Max.speeds with reducedsafety distances (case 4)
Dynamic turnaround times
Destination Maasvlakte 1
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Destination Maasvlakte 1
0%
20%
40%
60%
80%
100%
120%
140%
160%
1 2 3 4 5 6
ship class
% o
f c a s e
4
Max. speed (case 1)
Reduced speeds (case 2)
Leveled speeds (case 3)
Max.speeds with reducedsafety distances (case 4)
Dynamic turnaround times
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Safety study
Register the number of exposures
With historical data (casualty rates) determine thenumber of accidents Determine damage costs based on the number and
type of accidents
E t ( ) d fi iti
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head-head
crossing
crossing
radius 0.5 nautical mile
Encounter (exposure) definition
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Visibility Typeencounter
Accidents
head-head 6.2
crossing 4.9Good
overtake 6.2
head-head 88
crossing 14
Foggyvisibility
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Ship position in channel section
Figure 1 Lateral dist ribution ship posit ion in the channel
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Extension Port of Rotterdam
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2
468
1 0
1 2
1 41 6
2
46
8
1 01 2
1 41 61 82 02 2
2 42 6
2 9
Number vessels per day in section 1, less strict traffic rules
Number vessels per day in section 1, strict traffic rules
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Encounter (exposure) densities
Encountersdensity
d 6
d 5
d 4
d 3
d 2
d 1
Configuration Simulation Model Colombo port
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W1
s9
s11
s13
s8
5000
6000
7000
9000
11000
5000 6000 7000 8000 9000 10000 11000 12000 1300
s10
s12
s14
s4
s5
s16
s15
s 1
s 2
s 3s 7
Colombo Port
wet infra structurefiuture situation
s6
8000
10000
terminal 2
t e r m
i n a
l 1
t e r m i n
a l 3
NUMBER ENCOUNTERS COLOMBO PORT
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U B COU S CO O BO O
C l i d d i
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Conclusions and recommendations
Capacity models satisfy quite well the demands
The accuracy depends strongly on the input dataas the arrival pattern, the service time and appliedtraffic rules
The safety estimation models are just startingEstimation of the safety area around should be
improvedEstimation of the ship track should be improved