A digital twin-based framework for simulation and monitoring analysis of floating wind turbine structures

• DOI: 10.1016/j.oceaneng.2023.115009
• Publication Date: 2023-06-19T09:05:34Z
• Authors: Yi Liu; Jian-Min Zhang; Yan-Tao Min; Yantao Yu; Chao Lin; Zhen-Zhong Hu
• Keywords: 0209 industrial biotechnology; Monitoring; Framework; Structure; 02 engineering and technology; Digital twin; Floating wind turbine; Simulation

It is currently a prevailing trend to adopt clean energies instead of traditional ones due the global climate change caused by carbon emissions. Offshore wind farms, in particular, have emerged as crucial source renewable energy, owing their benefits such no land occupation and abundant resources. However, design, installation, operation, maintenance (O&M) floating turbines (FWTs) involve multiple sources heterogeneous data, which pose challenges data integration management, well simulation analysis FWTs. To address this issue, study proposes unified framework based on digital twin (DT) acquire integrate diverse types information used throughout entire life cycle A 3D model serves medium enable real-time synchronization inversion sensor facilitating state The proposed evaluated through case twin-barge float-over project, includes process simulation, mechanical analysis, anomaly identification. results demonstrate that DT can facilitate timely monitoring FWTs, visualization construction plans, early warning structural abnormalities, accurate recognition FWT posture marine environment. validates efficacy ensuring personnel equipment safety, optimizing project improving efficiency.