Supporting the Operational Efficiency of LNG Carriers … · Supporting the Operational Efficiency of LNG Carriers with Big Data and IoT ... Operation & Technology LNG Shipping

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Supporting the Operational Efficiency of LNG Carriers with Big Data and IoT(Internet of Things)

Deok-Hoon Jang / DongSup Shin, Feb 7th, 2017

Technical Streams

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Visibility

Intelligence

Control

Inherent Complexity in

Operation & Technology

LNG Shipping Transportation

The Background

Greater Demand forUtilization of Operation Data and

Analysis of Ship Performances

3 Key Elements

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Key Elements of Ship Data Management & Analysisin LNG Carrier Operations

Visibility ControlIntelligence

• Onboard Monitoring• On-shore Monitoring• Generic KPIs• LNG Cargo Tank Status

History• Cool-down Rate• Boil-off Rate• Fleet Performance

Comparison• User Interface &

Visualization

• Dynamic Performance Model

• Vessel Performance Analysis

• Hull & Propeller Performances

• Performance Dashboard• Specific Analysis – Cool-

down Process Model

• Voyage Planning• Vessel Speed & Route

Optimization• Schedule Optimization• Hull & Propeller

Management• Trim Optimization• LNG Tank Management

3

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Visibility in LNGC Operation





Visualization





down Process Model


Optimization• Schedule Optimization• LNG Tank Management• Hull & Propeller

Management

4

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Monitoring on Board

5

Visibility

Key Figures for:

• Fuel Consumptions

• Cargo Tank Temperatures

• Emissions

• Cool Down Rates

• LNG-specific Key Figures for Boil-off Utilization

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Data Collection & Monitoring on Shore

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Data Interface from:• Loading computer• NAPA Trim Optimization• NAPA Real Time Monitoring• NAPA Voyage Optimization• 3rd Party systems…

Server DB• Navigational data• Propulsion-related

data

• Record vessels performance data • Automatically creates voyage reports• Ship performance and voyage data

available at the office• Monitor fleet performance • Benchmark and analyse ships• Trim monitoring

In every 5 mins

Visibility

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Monitoring on Shore – STD generic dashboard of LNG carrier

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Visibility

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Monitoring on Shore - Tank status charts

8

Visibility

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Monitoring on Shore – Boil-off Gas and Rate

9

Visibility

Time

Boil-o

ff (m

3)

Perc

enta

ge o

f T

ota

l Tank C

apacity (

%)

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Monitoring on Shore - Cool-down rate in ballast voyages

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Visibility

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Monitoring on Shore – Boil-off Rate

11

Visibility

Boil-off rate in laden voyage

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Visibility

Monitoring on Shore – Fleet-wide Performances

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User Interface is the Key in Efficient Data Management and Analysis

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Visibility

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Intelligence in LNGC Operation





Visualization





down Process Model


Optimization• Schedule Optimization• LNG Tank Management• Hull & Propeller

Management

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Dynamic Performance Model

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Measured Predicted

Self-learning (Dynamic Performance Model)

Effect Verification (Power Estimation Accuracy)

Time

Po

wer

Wind and waves in the performance is able to accurately estimate

* Weather condition: wind 0-20 m/s, wave 0-2 m

Example

Intelligence

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Performance Analysis – Filtering out External Conditions

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Dynamic Performance Model (DPM)

Automatic analysis based on collected voyage data

Customer can get reliable baseline

Differentiated point from others

Speed [kn]

Po

wer [

kW

]Speed-power curve

All data

Filtered

Normalized

Power curve

Intelligence

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Performance Analysis – Hull & Propeller Performances

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Intelligence

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Performance Dashboard

Intelligence

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Specific Analysis – Cool-down Process

Intelligence

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Specific Analysis – Cool-down Process

Intelligence

Case Study Example

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• Model predicts required time or final tank temperature for cooling and warming periods during ballast voyages.

• Possible optimization of

• Energy consumption

• LNG consumption

• Cooling time

• Requires

• LNG usage constraints - Spay amount of LNG

• Time constraints

• Target temperature in the tank

• Estimated time of arrival

Specific Analysis – Cool Down Model usage examples

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Intelligence

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Control in LNGC Operation





Visualization





down Process Model




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Voyage Optimization for LNG Carrier

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Input Variable

Manual:• Vessel Information• Route Plan• Schedule (ETD, ETA)

Dynamic Performance Model• Navigational data• Propulsion-related data

Auto:• Weather Information

Output Variable

Optimal RouteOptimal Speed ProfileVoyage Information• ETA• Average Speed• Duration• Fuel Consumption• Fuel cost

Control

Better Accuracy

andValues in:

Money Time Safety

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Voyage Optimization for LNG Carrier

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Case Study Example

Route

/Speed

Optim

ization

Schedule

O

ptim

ization

33.5% Savings Potential

Control

~155,000* USD saved in one voyage

* 330 USD/mt

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Hull & Propeller Management

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Control

Annual Average Fuel Consumption

x Average Decrease

(improvement) Rate (%) =

Value of Propeller polishing (or Hull

cleaning)

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Fleet Management

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Control

Normalized speed curves of different ships in a fleet gives

Financial Insight

Example:

Performance Gap (%) x Annual Fuel Consumption of a ship x Fuel cost (USD/mt) =

Savings Potential

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Cargo Tank Temperature & Pressure Optimization

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Control

Case Study Example

Monitor Analysis and Research Better control on how to

manage tank temperature & pressure in terms of Energy consumption Man hour (Crew) Heel amount (Maximize cargo utilization)

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Key Elements of Ship Data Management in LNGC Operation





Visualization





down Process Model




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© NAPA29

Thank you very much!

Documents

Supporting the Operational Efficiency of LNG Carriers … · Supporting the Operational Efficiency of LNG Carriers with Big Data and IoT ... Operation & Technology LNG Shipping