This article presents a comprehensive overview of the digital twin technology and its
capability levels, with a specific focus on its applications in the wind energy industry. It …

Digital Twin technology has emerged to become a key enabling technology in the ongoing
transition into Industry 4.0. A Digital Twin is in essence a digital representation of an asset …

Digital twins bring the potential to increase the efficiency of assets, systems, and processes
by building virtual replicas through real-time data and modeling. However, data are often …

Wind energy, an essential component in the fight against climate change, relies heavily on
precise, detailed wind field simulations to optimize wind farms, particularly in complex terrain …

The demand for condition-based and predictive maintenance is rising across industries,
especially for remote, high-value, and high-risk assets. In this article, the diagnostic digital …

Coastal marine ecosystems face mounting pressures from anthropogenic activities and
climate change, necessitating advanced monitoring and modeling approaches for effective …

Autonomous surface vessels (ASVs) are becoming increasingly significant in enhancing the
safety and sustainability of maritime operations. To ensure the reliability of modern control …

This paper explores the development and practical application of a predictive digital twin
specifically designed for condition monitoring, using advanced mathematical models and …

Atmospheric flows are governed by a broad variety of spatio-temporal scales, thus making
real-time numerical modeling of such turbulent flows in complex terrain at high resolution …

Real-time capable models are paramount for the successful adaptation of digital twin
technology into industries such as wind energy, but high-fidelity physics-based models …