Periodic Reporting for period 1 - DT4GS (Open collaboration and open Digital Twin infrastructure for Green Smart Shipping)
Période du rapport: 2022-06-01 au 2023-11-30
The shipping industry faces immense challenges in aligning with ambitious environmental reduction goals. The primary objective is to achieve zero-emission waterborne transport by 2050, which necessitates the development and demonstration of decarbonization solutions (DE) for all major ship classes and associated services by 2030. This transition to zero-emission shipping demands a comprehensive approach that combines advancements in decarbonization technologies, the optimization of these technologies for specific ship types and operational profiles while considering economic factors and related policies. Despite various technological innovations proposed for different ship aspects, including hull design, propulsion systems, fuels, and operational strategies like slow steaming, the practical selection of the most effective solutions for a given ship and timeframe remains a multifaceted problem, impeding progress.
Digital twinning presents a potential solution to assist shipping stakeholders in managing these outlined complexities by enabling integration and interaction of the above aspects. However, digital twin deployments in the shipping sector are still in their infancy. Current ship digital twin projects tend to focus on specific applications, and true Digital Twins in shipping, which involve real-time interaction between physical assets and their digital representations, are still in the early stages of development. Several critical aspects, such as open software architecture, data standards, security, and data sovereignty, remain inadequately addressed within the shipping industry's digital twin landscape. Additionally, the absence of a foundational shipping framework further complicates matters. The overall maturity level of digital twin infrastructure components and shipping DT applications remains low, highlighting the need for further development and integration to fully realize the potential benefits of digital twinning in the maritime sector.
This is where the DT4GS project creates added value, by fill the gaps on digital twin deployments, tangible use cases and related data complexities as well as open software architectures. To fulfil our mission in helping the sector to transition towards digitalized solutions, the project has delivered intermediate results (M18) with regard to an open digital infrastructure, multistakeholder methodology for harmonization of digital twins, models embedded in an open model library, and a prototype of a Data Space system architecture. All achievements will further support the creation of a DT4GS Alliance and Industry Platform to address the above challenges.
Digital twinning presents a potential solution to assist shipping stakeholders in managing these outlined complexities by enabling integration and interaction of the above aspects. However, digital twin deployments in the shipping sector are still in their infancy. Current ship digital twin projects tend to focus on specific applications, and true Digital Twins in shipping, which involve real-time interaction between physical assets and their digital representations, are still in the early stages of development. Several critical aspects, such as open software architecture, data standards, security, and data sovereignty, remain inadequately addressed within the shipping industry's digital twin landscape. Additionally, the absence of a foundational shipping framework further complicates matters. The overall maturity level of digital twin infrastructure components and shipping DT applications remains low, highlighting the need for further development and integration to fully realize the potential benefits of digital twinning in the maritime sector.
This is where the DT4GS project creates added value, by fill the gaps on digital twin deployments, tangible use cases and related data complexities as well as open software architectures. To fulfil our mission in helping the sector to transition towards digitalized solutions, the project has delivered intermediate results (M18) with regard to an open digital infrastructure, multistakeholder methodology for harmonization of digital twins, models embedded in an open model library, and a prototype of a Data Space system architecture. All achievements will further support the creation of a DT4GS Alliance and Industry Platform to address the above challenges.
The work performed has focused on the following innovations:
1. DT4GS Modelling Framework - Multi-stakeholder Green Shipping Transition Methodology which integrates diverse aspects of a ship's performance including engine fuel consumption, hull coating and performance under different weather conditions, propeller efficiency, and power management, to map various decarbonization technologies. The methodology combines the effects of decarbonization technologies to meet environmental objectives.
2. DT4GS Knowledge Graph and Operational Metamodel which serve as the foundational framework for a digital twin architecture. The knowledge graph integrates heterogeneous information such as vessel components (engine, propeller), variables (speed, power) and performance models, enabling unified representation of vessel operational aspects and semantic layer encoding for user interaction. The operational metamodel links high-level domain requirements with DT functionality, catering to diverse user needs within the maritime industry.
3. Digital Twin Federation Layer for Supply Chain Optimization: A federation model of a ship DT is introduced, seamlessly interconnecting ships, ports, and land logistics systems for optimized operations.
4. Routing Optimization and Trajectory Mining: Advanced voyage optimization techniques leverage historical trajectory data to automate routing decisions for vessels.
5. Enhanced Deployment and Maintenance of Digital Twin Technologies: Guidelines and a technology stack that support the implementation/deployment and maintenance of digital twin systems in maritime environments.
1. DT4GS Modelling Framework - Multi-stakeholder Green Shipping Transition Methodology which integrates diverse aspects of a ship's performance including engine fuel consumption, hull coating and performance under different weather conditions, propeller efficiency, and power management, to map various decarbonization technologies. The methodology combines the effects of decarbonization technologies to meet environmental objectives.
2. DT4GS Knowledge Graph and Operational Metamodel which serve as the foundational framework for a digital twin architecture. The knowledge graph integrates heterogeneous information such as vessel components (engine, propeller), variables (speed, power) and performance models, enabling unified representation of vessel operational aspects and semantic layer encoding for user interaction. The operational metamodel links high-level domain requirements with DT functionality, catering to diverse user needs within the maritime industry.
3. Digital Twin Federation Layer for Supply Chain Optimization: A federation model of a ship DT is introduced, seamlessly interconnecting ships, ports, and land logistics systems for optimized operations.
4. Routing Optimization and Trajectory Mining: Advanced voyage optimization techniques leverage historical trajectory data to automate routing decisions for vessels.
5. Enhanced Deployment and Maintenance of Digital Twin Technologies: Guidelines and a technology stack that support the implementation/deployment and maintenance of digital twin systems in maritime environments.
1. A holistic analysis for ship life-cycle by means of Digital Twins. The results reported in the following publication: Mauro, F., Kana, A.A. 2023. Digital twin for ship life-cycle: a critical systematic review. Ocean Engineering. 269. DOI: 10.1016/j.oceaneng.2022.113479
2. Research on Digital Twin application for new green vessels. The results reported in DT4GS e-book (chapter 8): Kana, A.A. Li, W., van Noesel, I., Pang, Y., Kondratenko, A., Kujala, P., Hirdaris, S. Chapter 8 Application of Digital twins in the design of new green transport vessels. Pg 161-191. DOI: https://doi.org/10.4018/978-1-6684-9848-4.ch008(s’ouvre dans une nouvelle fenêtre)
3. Bunker delivery assessment for emission reduction by using a data driven approach for retrofits. The results reported in: Hermans, J., Kana, A.A. 2024. Retrofit modeling for green ships: A data-driven design approach for emission reduction using bunker delivery notes. Paper accepted in 15th International Marine Design Conference (IMDC 2024). June 2-6, Amsterdam, NL
2. Research on Digital Twin application for new green vessels. The results reported in DT4GS e-book (chapter 8): Kana, A.A. Li, W., van Noesel, I., Pang, Y., Kondratenko, A., Kujala, P., Hirdaris, S. Chapter 8 Application of Digital twins in the design of new green transport vessels. Pg 161-191. DOI: https://doi.org/10.4018/978-1-6684-9848-4.ch008(s’ouvre dans une nouvelle fenêtre)
3. Bunker delivery assessment for emission reduction by using a data driven approach for retrofits. The results reported in: Hermans, J., Kana, A.A. 2024. Retrofit modeling for green ships: A data-driven design approach for emission reduction using bunker delivery notes. Paper accepted in 15th International Marine Design Conference (IMDC 2024). June 2-6, Amsterdam, NL