Global environmental data for sustainable shipping

58
Penny Haire Managing Director [email protected] Roger Proctor Chief Scientist and Director [email protected] 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 of Global environmental data for sustainable shipping

Page 1: Global environmental data for sustainable shipping

Penny HaireManaging [email protected]

Roger ProctorChief Scientist and [email protected]

Global Environmental Data for Sustainable Shipping

Page 2: 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

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Products

• Catalogue of 300+ individual data products

• Global coverage

• Regional coverage for high resolution weather and tidal models

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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

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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

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Recent Customer – Americas Cup

Tidetech San Francisco Bay Hydrodynamic Model

Copyright © America’s Cup Race Management 2013

Link to video

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Recent Customer – Volvo Ocean Race

Technical Supplier to the Event

• All Teams

• Race Management and Umpires

• Media

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Recent Customer – Olympic Games

Official Supplier to Australian Team

100m Resolution Hydrodynamic

Tidal Model

Link to video

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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)

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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

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Ocean Models

• Scientific principles

• Accuracy

• Implications for voyage optimisation

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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

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Major ocean features

Ocean conveyor beltBoundary currents

and eddy

instabilities

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Ocean model simulationsGlobal ocean or basin models MUST HAVE observations included to maintain veracity

Achieved through data assimilationTypical forecast procedure

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Available ocean model forecasts

• Mercator

• Hycom

• FOAM

all 1/12o , daily, 7 days

Differences due to• Numerics• Data assimilation• Weather forcing

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Model resolution

• Higher gives more detail

• Opportunity to resolve

• Higher computational load

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Example performance metrics from MyOceanMercator (Global)

Ocean currents - variability

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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

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T0F1F2F2F3F4F5

Evolution of features – Kuroshio meanders

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F5T0

Persistence of features – Kuroshio meanders

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Routing – 100 routes over 12 months (at 3.65 day intervals)

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Transatlantic Routing – Great Circle vs Optimised

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Transatlantic Eastbound - Jacksonville to English ChannelOptimised vs Great Circle Route using ocean current analysis

data for 2012

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Transatlantic – Delta - Great Circle vs Optimised

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Ocean Forecast Models – Forecast vs actual

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Routing – Xiamen to Lazaro Cardenas - 6 months

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Routing – Xiamen to Lazaro Cardenas

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Xiamen to Lazaro Cardenas Great Circle vs Optimised routePassage Time @ 12kts Jan - June 2012

OPT GC

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Routing – Xiamen to Lazaro Cardenas

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% saving

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Routing- Transpacific Options - Kuroshio

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Routing – Kuroshio 30 day period

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Routing – Kuroshio 30 day period

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Tidal Models

• Scientific Principles

• Accuracy

• Implications for Voyage Optimisation

Page 33: Global environmental data for sustainable shipping

Principal Tidal Constituents

Twice a day

Once a day

Long period

Shallow water

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Tidal Response Dependent on depth and shape of ocean basin

M2 O1

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Tidal response Dependent on depth and shape of ocean basin

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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

Page 37: Global environmental data for sustainable shipping

• Vertical profile near-homogeneous

• ‘Depth-average’ good approximation

• ‘Shallow-water’ Navier-Stokes (2D)

Tidal current modelling

0.85 H

h

ξ

H = h + ξ

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Elements of tidal modelling

• Global model

– Forced by

tide generating potential

• Regional model

– Open boundary forcing

Tides inherently predictable

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Impact of shallow water effects (M4, MS4, MS6)

Poole, DorsetDouble High waters

Lulworth CoveDouble Low waters

Lulworth Poole

UKHO

Page 40: Global environmental data for sustainable shipping

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

Page 41: Global environmental data for sustainable shipping

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

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Tidetech Tidal Data – 2 examples

UKHO – TotalTide Tidetech

1) English Channel

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English Channel Heights comparison Tidetech vs UK Hydrographic Office

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Malacca Straits Heights Comparison

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Page 45: Global environmental data for sustainable shipping

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

Page 46: Global environmental data for sustainable shipping

San Francisco Bay Tidal Model – Validation

• Validation with Acoustic Doppler Current Profiler

• Model adjustment post validation

Page 47: Global environmental data for sustainable shipping

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?

Page 48: Global environmental data for sustainable shipping

Ushant to Rotterdam – Passage times at Springs and Neaps

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14kts Neaps 15kts Neaps

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Ushant to Rotterdam – Variation in Passage Time@12kts

Slowest time

7.3% slower than

fastest time

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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?

Page 51: Global environmental data for sustainable shipping

Tidal Optimisation - Malacca Strait

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Port Klang to Tanjung Pelapas – Passage Times at sequential departure times. 12-14kts. Springs

12kts 13kts 14kts 15kts

Page 52: Global environmental data for sustainable shipping

Port Klang to Tanjung Pelapas – Variation in Passage Time @ 15kts

Slowest time 10%

slower than

fastest time

Page 53: Global environmental data for sustainable shipping

Go slower, get there sooner?

Leaving between

H13 – H16 gives

same or faster

passage time at

14kts than

leaving between

H7- H10 at 15kts

Page 54: Global environmental data for sustainable shipping

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

Page 55: Global environmental data for sustainable shipping

Global Currents – Combined ocean and tidal model output

Link to video

Page 56: Global environmental data for sustainable shipping

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

Page 57: Global environmental data for sustainable shipping

API IntegrationServers

Apps Software Land Based On Board

Application Programme Interface

(API) automates process of

selection and download of data

Tidetech

Interface

Page 58: Global environmental data for sustainable shipping

Penny HaireManaging [email protected]

Roger ProctorChief Scientist and [email protected]

Global Environmental Data for Sustainable Shipping