Digital twins of the mooring line tension for floating offshore wind turbines to improve monitoring, lifespan, and safety

Abstract The number of installed floating offshore wind turbines (FOWTs) has doubled since 2017, quadrupling the total capacity, and is expected to increase significantly over next decade. Consequently, there a growing consideration towards main challenges for FOWT projects: monitoring system’s integrity, extending lifespan components, maintaining FOWTs safely at scale. Effectively efficiently addressing these would unlock wide-scale deployment FOWTs. In this work, we focus on one most critical components FOWTs, Mooring Lines (MoLs), which are responsible fixing structure seabed. primary mechanical failure mechanisms in MoLs extreme load fatigue, both functions axial tension. An effective solution detect long-term drifts response develop Digital Twin (DT) able accurately predict behaviour healthy system compare with actual one. Moreover, will another DT near future tension as an tool improve safety maintenance operations. fact, by changing operational settings, according prediction, operators can reducing stress and, additionally, case where progress, prediction from serve early warning operators. Authors leverage data collected world’s first commercial floating-wind farm [the Hywind Pilot Park ( https://www.equinor.com/en/what-we-do/floating-wind/hywind-scotland.html .)] 2018, investigate effectiveness DTs MoL two scenarios depicted above. be developed using state-of-the-art data-driven methods, results based real support our proposal.