Vessel Digital Twin Tuning for Decarbonization Control
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Solution Overview
Problem
Current methods for optimizing vessel performance to meet decarbonization goals are inefficient and costly, requiring tedious trial and error to determine the impact of carbon emissions reducing accessories on vessel operations.
Innovation Solution
An integrated real-time control system that loads a base performance model for a vessel, tunes it with specific characteristics, and selects a decarbonization model to simulate new performance metrics, incrementally adjusting accessories until minimum standards are met, using a knowledge graph to represent interdependent aspects and optimize control inputs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If trial and error analysis is used to determine the impact of carbon emissions reducing accessories on vessel performance, then the feasibility of incorporating accessories can be assessed, but the process becomes tedious and expensive
Solution Approach 1:
The patent applies preliminary action by pre-establishing a digital twin model of the vessel that incorporates emissions modeling capabilities before actual accessory deployment. This allows operators to simulate and assess the impact of various carbon emissions reducing accessories in advance, eliminating the need for tedious trial-and-error analysis after physical implementation. The model is tuned using historical vessel data to ensure accurate predictions of accessory performance and emissions reduction potential.
2Object-generated harmful factors
If multiple decarbonization technologies are deployed aboard a vessel, then carbon emissions reduction is achieved, but the complexity of integrating and tuning performance control parameters increases
Solution Approach 1:
The patent merges multiple decarbonization technologies and their control parameters into a unified digital twin model. This integration allows operators to assess the combined impact of various accessories on vessel performance and emissions simultaneously, rather than evaluating each technology separately. The model consolidates control parameters from different decarbonization technologies, enabling comprehensive optimization of the vessel's overall emissions profile while managing the complexity of integrating multiple systems.
Solution Approach 2:
The digital twin model serves as an intermediary between multiple decarbonization technologies and the vessel's operational parameters. It acts as a virtual testing ground where the interactions between different accessories and control parameters can be analyzed without affecting actual vessel operations. This intermediary model simplifies the integration process by providing a centralized platform to tune and optimize all control parameters before implementing changes on the physical vessel.
3Productivity
If advanced decision support systems are deployed to quantify emissions and optimize performance, then decarbonization pathways can be evaluated, but the system complexity and implementation cost increase
Solution Approach 1:
The patent creates a digital copy (digital twin) of the vessel that replicates its emissions generation and performance characteristics. This virtual model allows operators to evaluate various decarbonization pathways and optimize emissions without requiring complex physical modifications or extensive real-world testing. The digital twin copying approach simplifies the decision support system by providing a realistic yet controllable virtual environment for analysis, reducing implementation costs compared to building entirely new complex optimization systems.
Data Source
AI summary
Producing and tuning an integrated vessel control model to meet decarbonization goals includes loading an base performance model for a vessel and corresponding observed carbon emissions from the vessel resulting from a set of control inputs for the vessel. A decarbonization model also is selected. A new integrated performance model is computed within a digital twin of the vessel modeling new performance metrics resulting from the deployment of accessories in the decarbonization model, and the new metrics are compared to minimum performance standards for the vessel. When a performance metric fails to meet the minimum standard, a corresponding accessory is identified as impacting the failing performance metric and an adjustment is incrementally applied to the accessory until the failing performance metric is determined to meet the minimum standard. Then, the new integrated performance model is simulated to predict resulting carbon emissions which is stored in the new integrated performance model.