Ship Energy Assessment System for Maritime Vessel Optimization

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Solution Overview

Problem

Surface maritime vessels face inefficiencies in energy usage due to complex operating characteristics and external factors, lacking effective guidance for optimizing energy efficiency.

Innovation Solution

A ship energy assessment system that processes characteristic and model data to provide real-time feedback on energy consumption, enabling adjustments to operating parameters for improved efficiency, and predicts future performance based on actual vessel performance data.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Use of energy by moving object

If the vessel operates without an energy assessment system, then the operating procedure is simple, but energy efficiency cannot be optimized and fuel consumption remains high

Engineering Contradiction:
Improveenergy efficiencyVSAvoidsystem complexity
Core Design Contradiction:
Use of energy by moving objectVSDevice complexity

Solution Approach 1:

The energy assessment system integrates multiple functions including data reception from various sensors, model data processing, energy consumption calculation, and optimization guidance provision into a single unified system that serves the entire vessel operation

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system introduces an energy assessment system as an intermediary between the vessel's operating parameters and the crew's decision-making, processing complex data and providing simplified optimization guidance

Inventive Principle:
Principle #24Intermediary (Mediator)

2Ease of operation

If the vessel uses conventional monitoring without comparative analysis, then data processing is simpler, but actionable optimization guidance cannot be provided

Engineering Contradiction:
Improveoperational simplicityVSAvoidoptimization information
Core Design Contradiction:
Ease of operationVSLoss of information

Solution Approach 1:

The system establishes a feedback loop where energy consumption data is continuously monitored, compared against model data, and optimization recommendations are provided back to the crew for implementing efficiency improvements

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system segments the analysis by comparing actual operating characteristics against ideal model characteristics, breaking down the complex optimization problem into manageable comparisons and actionable recommendations

Inventive Principle:
Principle #1Segmentation

3Loss of energy

If the vessel does not optimize energy consumption, then operational procedures are simpler, but fuel costs and refuelling requirements increase

Engineering Contradiction:
Improvefuel consumptionVSAvoidoperational efficiency
Core Design Contradiction:
Loss of energyVSProductivity

Solution Approach 1:

The system performs preliminary analysis of energy consumption patterns and provides optimization guidance before significant fuel waste occurs, enabling proactive rather than reactive energy management

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system identifies and recommends changes to operating parameters such as speed, route, and engine settings that can reduce fuel consumption while maintaining operational effectiveness

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS10370063B2Monitoring energy usage of a surface maritime vessel
Publication Date: 2019.08.06 BAE SYSTEMS PLC
  • US10370063B2 patent drawing
  • US10370063B2 patent drawing
  • US10370063B2 patent drawing

AI summary

A system (102) is configured to monitor energy usage of a surface maritime vessel (100). The system comprises a device (102A) configured to receive characteristic data representing at least one operating characteristic of the vessel, and a device (102A) configured to receive model data representing at least one energy usage model for the vessel. The system further includes a device (102A) configured to process the characteristic data and the model data to generate an output representing a comparison between the characteristic data and the model data.