Key Proposal Figures
The following images are extracted from the project proposal to present KPN Digital Twin Ship's vision, technical framework, and application scenarios.
Figure 1: Digital Twin Vessel Concept
Illustrates the mapping between the physical vessel and its virtual model, highlighting KPN Digital Twin Ship's core idea of physical-digital integration across the full life cycle.
Figure 2: Integrated Prediction-Optimization-Control Framework
Covers data sensitivity analysis, early warning, dynamic optimization, and auto-control, ultimately forming onboard decision support capabilities.
Figure 3: Simulation and Verification Scenario
Supports WP3 demonstrators for design verification, operator training, remote support, and system-level testing and evaluation.
NTNU Responsibilities and Objectives
In the KPN proposal, NTNU is the project owner and leads key research and implementation tasks across the digital twin stack.
- Project leadership: Coordinate the consortium and ensure delivery of technical and scientific milestones.
- WP2 lead: Develop early-warning, prediction, and optimization tools for maritime operations.
- WP1 contribution: Support open co-simulation architecture, model integration, and data interfaces for maritime digital twins.
- WP3 demonstrators: Co-develop and validate industrial demonstrators for design verification and life-cycle service.
- Talent development: Train PhD and postdoctoral researchers in AI, control, and maritime systems engineering.
- Industry transfer: Bridge academic methods into deployable tools with SINTEF, DNV GL, Rolls-Royce Marine, and ÅKP.