global environmental data for sustainable shipping
DESCRIPTION
A comprehensive overview of how Tidetech's oceanographic and meteorological data is used by technology partners to save fuel and reduce emissions for commercial shipping. Technical information about route and speed optimisation is included, along with data accuracy comparisons.TRANSCRIPT
Penny HaireManaging [email protected]
Roger ProctorChief Scientist and [email protected]
Global Environmental Data for Sustainable Shipping
Tidetech- Company Profile
• Science company specialising in providing accurate and detailed environment information for the marine industry
• Based in Hobart, Australia
• Founded 2008 by Penny Haire and Roger Proctor
• Core personnel of 6 with additional resource at hand
• Initial focus on elite sailing- Olympics, Americas Cup
• Engaged with commercial shipping since March 2012
Products
• Catalogue of 300+ individual data products
• Global coverage
• Regional coverage for high resolution weather and tidal models
Tidetech Environmental Data Parameters
Wind 10m
Wind 40m
Mean Sea Level Pressure
Precipitation
Air Temperature
Humidity %
Cloud Cover %
Tidal Currents
Non Tidal Currents
Sea Surface Height
Sea Temperature
Significant Wave height
Primary Wave Direction
Primary Wavelength
Wind Wave height
Wind Wave direction
Wind Wave period
Primary Wave Period
Swell height
Swell direction
Swell period
Weather Waves Hydrodynamic
Data Sources
• Tidetech Proprietary
• ECMWF
• NOAA / NCEP
• NASA Jet Propulsion Lab.
• MyOcean
• PredictWind
• University Cadiz
• UK Met Office
• University Hawaii
• BSHHigh Resolution (1km) weather model. Gibraltar Strait
Recent Customer – Americas Cup
Tidetech San Francisco Bay Hydrodynamic Model
Copyright © America’s Cup Race Management 2013
Link to video
Recent Customer – Volvo Ocean Race
Technical Supplier to the Event
• All Teams
• Race Management and Umpires
• Media
Recent Customer – Olympic Games
Official Supplier to Australian Team
100m Resolution Hydrodynamic
Tidal Model
Link to video
In Commercial Operation:
Images courtesy of NAPA Voyage Optimisation, Star Cruises and BORE Finland
4 Vessels using Tidetech Tidal DataSuperstar Virgo - SingaporeBore Sea- North SeaBore Song- North Sea / DenmarkInco Ships - Australia6 additional vessels before end 2014
ClassNK Napa Green
Voyage Optimisation
Reported savings of
4-6% (BORE vessels)
In Commercial Operation:
Fleet Management, SSAS Alert
Advanced and Marine Asset
Tracker 2.0 customers
Web map service for met-ocean data layers
• 40,000 vessels, LRIT and fisheries tracking
Ocean Models
• Scientific principles
• Accuracy
• Implications for voyage optimisation
Elements of Ocean Modelling
• Most models solve the hydrostatic Navier-Stokes equations.
• They allow 3D + time variation in water properties (T, S, u, v, w) in response to forcing from • meteorology • land inputs (rivers) • ice processes• internal stresses
Major ocean features
Ocean conveyor beltBoundary currents
and eddy
instabilities
Ocean model simulationsGlobal ocean or basin models MUST HAVE observations included to maintain veracity
Achieved through data assimilationTypical forecast procedure
Ocean Models
Link to video
Available ocean model forecasts
• Mercator
• Hycom
• FOAM
all 1/12o , daily, 7 days
Differences due to• Numerics• Data assimilation• Weather forcing
Model resolution
• Higher gives more detail
• Opportunity to resolve
• Higher computational load
Example performance metrics from MyOceanMercator (Global)
Ocean currents - variability
T0 F1 F2 F3 F4 F5 F6
T0 F1 F2 F3 F4 F5 F6
T0 F1 F2 F3 F4 F5 F6
T0 F1 F2 F3 F4 F5 F6
T0 F1 F2 F3 F4 F5 F6
T0 F1 F2 F3 F4 F5 F6
T0 F1 F2 F3 F4 F5 F6
Accuracy of forecast?1) Examine evolution of features from T0 into forecast (F1, F2 etc.)2) Compare persistence of features across forecasts e.g. F5 with T0 5 days later
T0F1F2F2F3F4F5
Evolution of features – Kuroshio meanders
F5T0
Persistence of features – Kuroshio meanders
Routing – 100 routes over 12 months (at 3.65 day intervals)
Transatlantic Routing – Great Circle vs Optimised
275.0
277.0
279.0
281.0
283.0
285.0
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289.0
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HO
UR
S
DEPARTURE DATE AND TIME
Transatlantic Eastbound - Jacksonville to English ChannelOptimised vs Great Circle Route using ocean current analysis
data for 2012
GC OPT
Transatlantic – Delta - Great Circle vs Optimised
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% saving
Ocean Forecast Models – Forecast vs actual
Routing – Xiamen to Lazaro Cardenas - 6 months
Routing – Xiamen to Lazaro Cardenas
523.0
525.0
527.0
529.0
531.0
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535.0
537.0
539.0
PA
SSA
GE
TIM
E IN
HR
S
DEPARTURE TIME AND DATE
Xiamen to Lazaro Cardenas Great Circle vs Optimised routePassage Time @ 12kts Jan - June 2012
OPT GC
Routing – Xiamen to Lazaro Cardenas
1.02.03.04.05.06.07.0
HR
S
DEPARTURE DATE AND TIME
Δ
0.200.400.600.801.001.201.40
% S
AV
ING
DEPARTURE DATE AND TIME
% saving
Routing- Transpacific Options - Kuroshio
Routing – Kuroshio 30 day period
Routing – Kuroshio 30 day period
Tidal Models
• Scientific Principles
• Accuracy
• Implications for Voyage Optimisation
Principal Tidal Constituents
Twice a day
Once a day
Long period
Shallow water
Tidal Response Dependent on depth and shape of ocean basin
M2 O1
Tidal response Dependent on depth and shape of ocean basin
Tidal current relationship
• Progressive waves
• Currents in phase with height
• Open coast
• Standing waves
• Currents out of phase with height
• Bays and estuaries
• Hydraulic waves
• Caused by difference in height
at the ends of a channel
• Channels
• Vertical profile near-homogeneous
• ‘Depth-average’ good approximation
• ‘Shallow-water’ Navier-Stokes (2D)
Tidal current modelling
0.85 H
h
ξ
H = h + ξ
Elements of tidal modelling
• Global model
– Forced by
tide generating potential
• Regional model
– Open boundary forcing
Tides inherently predictable
Impact of shallow water effects (M4, MS4, MS6)
Poole, DorsetDouble High waters
Lulworth CoveDouble Low waters
Lulworth Poole
UKHO
Hydrodynamic Tidal Model
Outputs both
tidal heights
and currents
Please note –
video shows
tidal height as
coloured
shading and
arrows as tidal
current
direction
Link to video
English
Channel
Tidal Currents – Official Data Coverage varies from reasonable to nothing
Singapore and
Malacca StraitsStraits of
HormuzChina Sea
Images from
Admiralty TotalTide
© Crown Copyright
2011, UK
Hydrographic Office
Tidetech Tidal Data – 2 examples
UKHO – TotalTide Tidetech
1) English Channel
English Channel Heights comparison Tidetech vs UK Hydrographic Office
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TT cons UKHO
Malacca Straits Heights Comparison
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Pulau Jemur
Tidetechcons
UKHO0
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Tidetechcons
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Bagan
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UKHO
English Channel Currents Comparison – Tidetech vs UK Hydrographic Office
Calais Cowes
49°45.00'N 1°14.90'W 50°30.44'N 1°16.69'W
San Francisco Bay Tidal Model – Validation
• Validation with Acoustic Doppler Current Profiler
• Model adjustment post validation
Tidal Models – Speed Optimisation
Link to Video
What is the
relationship
between tidal
currents and
length of passage
time?
Calculating passage
times from Ushant to
Rotterdam at
constant slow
steaming speeds 12-
15kts
What is the
variance in
passage time
and how does it
correlate to
departure time?
Ushant to Rotterdam – Passage times at Springs and Neaps
27
28
29
30
31
32
33
34
35
36
H1
H2
H3
H4
H5
H6
H7
H8
H9
H1
0H
11
H1
2H
13
H1
4H
15
H1
6H
17
H1
8H
19
H2
0H
21
H2
2H
23
Pas
sage
Tim
e H
ou
rs
Departure Time
12kts Springs 13kts Springs
14kts Springs 15kts Springs
27
28
29
30
31
32
33
34
35
36
H1
H2
H3
H4
H5
H6
H7
H8
H9
H1
0H
11
H1
2H
13
H1
4H
15
H1
6H
17
H1
8H
19
H2
0H
21
H2
2H
23
Pas
sage
Tim
e H
ou
rs
Departure Time
12kts Neaps 13kts neaps
14kts Neaps 15kts Neaps
Ushant to Rotterdam – Variation in Passage Time@12kts
Slowest time
7.3% slower than
fastest time
Speed Optimisation – Malacca Strait Port Klang to Tanjung Pelapas
Link to Video
What is the
relationship
between tidal
currents and
length of passage
time?
Calculating passage
times at constant
slow steaming
speeds 12-15kts
What is the
variance in
passage time
and how does it
correlate to
departure time?
Tidal Optimisation - Malacca Strait
700
720
740
760
780
800
820
840
860
880
900
920
940
960
980
1000
H1 H2 H3 H4 H5 H6 H7 H8 H9 H10 H11 H12 H13 H14 H15 H16 H17 H18 H19 H20 H21 H22 H23 H24
PA
SSA
GE
TIM
E M
INU
TES
DEPARTURE TIME
Port Klang to Tanjung Pelapas – Passage Times at sequential departure times. 12-14kts. Springs
12kts 13kts 14kts 15kts
Port Klang to Tanjung Pelapas – Variation in Passage Time @ 15kts
Slowest time 10%
slower than
fastest time
Go slower, get there sooner?
Leaving between
H13 – H16 gives
same or faster
passage time at
14kts than
leaving between
H7- H10 at 15kts
Using this information in practice
• Scheduling – identification of favourable departure and arrival windows in advance
• Accurate Speed Optimisation
• Couple with real time and forecast tidal height windows
Global Currents – Combined ocean and tidal model output
Link to video
Data
Formats
• Grib – (Gridded Binary)
• netCDF – (Networked Common Data Format)
• csv – (text)
• WMS – (Web Map Service)
Delivery
• sFTP – push and pull
• Email to vessel
• WMS – hosted and non hosted
• API – hosted and non-hosted
API IntegrationServers
Apps Software Land Based On Board
Application Programme Interface
(API) automates process of
selection and download of data
Tidetech
Interface
Penny HaireManaging [email protected]
Roger ProctorChief Scientist and [email protected]
Global Environmental Data for Sustainable Shipping