Digital Twins for Offshore Renewable Energy Structures
A Special Issue of Applied Sciences (ISSN 2076-3417) belonging to the section "Marine Science and Engineering".
Deadline for manuscript submissions: 20 December 2027 | Viewed by 133
Editors
Interests: floating offshore wind turbine; mooring line analysis; digital twin code development
Interests: control system design; offshore renewable energies; wave energy converter; floating offshore wind turbine; optimal power management
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The large-scale development of marine renewable energy is a key pathway for energy transition. Floating photovoltaics, floating wind turbines, and offshore platforms are expanding into deeper, more distant waters. They face challenges such as wave loads, multi-body coupling, and corrosion fatigue. Accurate assessment of structural performance and safety management is urgently needed. Digital twin technology offers a transformative solution. Through dynamic mapping between virtual models and physical assets, and by integrating monitoring data, numerical simulation, and artificial intelligence, it enables structural response prediction, risk warning, and optimized operation and maintenance decisions.
This Special Issue focuses on structural performance studies and on the development of digital twin systems for offshore structures. Topics of interest include fluid–structure interaction, dynamic response, fatigue assessment, data-driven and physics-informed modeling, intelligent operation and maintenance, and virtual-reality mapping and validation.
This Special Issue aims to gather cutting-edge research findings, promote the transition of digital twin technology from theory to reliable marine engineering applications, and support the sustainable development of deep-sea renewable energy.
Dr. Chun-Bao Li
Prof. Dr. Guang Li
Guest Editors
Manuscript Submission Information
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Keywords
- digital twin
- offshore renewable energy structures
- structural health monitoring
- yielding strength
- buckling strength
- fatigue damage prediction
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