Ship Navigation Optimization Using BOG Prediction and Tank Pressure Control
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Solution Overview
Problem
The generation of boil-off gas (BOG) during liquefied gas transport in ships increases tank pressure, posing safety risks and complicates navigation planning, leading to unpredictable costs and inefficient liquefied gas consumption.
Innovation Solution
A method and device that generate recommended navigation information based on departure and arrival locations, predict BOG generation and tank pressure, and obtain optimal navigation information to minimize liquefied gas consumption, using machine learning models and environmental data for route optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If BOG is released to prevent tank pressure increase, then tank safety is improved, but environmental pollution occurs and liquefied gas is wasted
Solution Approach 1:
The system converts the harmful BOG that needs to be released into a useful resource by using it as fuel for the main engine or generator engine. The BOG handling system transforms the waste product into energy, simultaneously maintaining tank safety and reducing environmental pollution.
Solution Approach 2:
The system changes the physical state of BOG by liquefying it through the reliquefaction unit when not needed as fuel. This parameter change from gas to liquid state allows for flexible management of BOG, enabling either combustion for energy or storage in cargo tanks.
2Loss of energy
If ship speed and navigation route are adjusted to minimize liquefied gas consumption, then economical operation is improved, but navigation flexibility is reduced
Solution Approach 1:
The system dynamically adjusts ship operating parameters such as speed and navigation route based on real-time BOG generation predictions and environmental conditions. This dynamic optimization allows the ship to minimize liquefied gas consumption while maintaining navigation flexibility through adaptive decision-making.
Solution Approach 2:
The system uses BOG generation prediction and tank pressure monitoring as feedback mechanisms to continuously optimize navigation decisions. The feedback loop enables the ship to adjust its operation in response to changing conditions, achieving economical navigation without sacrificing flexibility.
3Loss of substance
If BOG is used as fuel for main engine or generator engine, then liquefied gas waste is reduced, but remaining BOG requires additional handling equipment
Solution Approach 1:
The BOG handling system is designed with multi-functionality, where the BOG can serve multiple purposes: as fuel for the main engine, as fuel for the generator engine, or as cargo after reliquefaction. This universal approach reduces waste while managing system complexity through flexible, integrated equipment design.
4Loss of energy
If navigation plan is optimized considering BOG generation, then economical operation is improved, but prediction accuracy is difficult to achieve due to varying conditions
Solution Approach 1:
The system performs preliminary BOG generation prediction based on navigation plan information, departure location, and arrival location before the ship embarks on its voyage. This advance prediction allows for optimized navigation planning while accounting for the varying conditions that affect BOG generation.
Solution Approach 2:
The system enhances prediction accuracy by incorporating multiple dimensions of data including environmental information, ship speed, power consumption, and various BOG handling methods. This multi-dimensional approach compensates for the difficulty of predicting BOG generation under varying navigation conditions.
Data Source
AI summary
The present disclosure relates to a method and device for optimizing navigation of a ship. The method according to an embodiment of the present disclosure may generate recommended navigation information about a navigation route of a ship, based on navigation plan information associated with a departure location and an arrival location of the ship, predict a boil-off gas (BOG) generation amount of the ship and a tank pressure value of the ship, based on the recommended navigation information, and obtain optimal navigation information associated with operation control of the ship, based on the BOG generation amount and the tank pressure value.