Digital twin: A state-of-the-art review of its enabling technologies, applications and challenges
Digital twin (DT) is an emerging technology that enables sophisticated interaction between
physical objects and their virtual replicas. Although DT has recently gained significant …
physical objects and their virtual replicas. Although DT has recently gained significant …
A review of impact loads on composite wind turbine blades: impact threats and classification
A fiber-reinforced composite wind turbine blade (WTB) is exposed to numerous impact
threats during its service life causing damages that can be detrimental to its structural …
threats during its service life causing damages that can be detrimental to its structural …
Advances in fault condition monitoring for solar photovoltaic and wind turbine energy generation: A review
Renewable energy-based power generation technologies are becoming more and more
popular since they represent alternative solutions to the recent economic and environmental …
popular since they represent alternative solutions to the recent economic and environmental …
Digital twins for wind energy conversion systems: a literature review of potential modelling techniques focused on model fidelity and computational load
JDM De Kooning, K Stockman, J De Maeyer… - Processes, 2021 - mdpi.com
The Industry 4.0 concept of a Digital Twin will bring many advantages for wind energy
conversion systems, eg, in condition monitoring, predictive maintenance and the …
conversion systems, eg, in condition monitoring, predictive maintenance and the …
The Springer model for lifetime prediction of wind turbine blade leading edge protection systems: A review and sensitivity study
The wind energy sector is growing rapidly. Wind turbines are increasing in size, leading to
higher tip velocities. The leading edges of the blades interact with rain droplets, causing …
higher tip velocities. The leading edges of the blades interact with rain droplets, causing …
Review on the advancements in wind turbine blade inspection: Integrating drone and deep learning technologies for enhanced defect detection
The increasing demand for wind power requires more frequent inspections to identify
defects in the Wind Turbine Blades (WTBs). These defects, if not detected, can compromise …
defects in the Wind Turbine Blades (WTBs). These defects, if not detected, can compromise …
[HTML][HTML] A probabilistic rainfall model to estimate the leading-edge lifetime of wind turbine blade coating system
Rain-induced leading-edge erosion of wind turbine blades is associated with high repair
and maintenance costs. For efficient operation and maintenance, erosion models are …
and maintenance costs. For efficient operation and maintenance, erosion models are …
Wind turbine rotor speed design optimization considering rain erosion based on deep reinforcement learning
Rain erosion is one of the most detrimental factors contributing to wind turbine blade (WTB)
coating fatigue damage especially for utility-scale wind turbines (WTs). To prevent rain …
coating fatigue damage especially for utility-scale wind turbines (WTs). To prevent rain …
Probabilistic modeling for long-term fatigue reliability of wind turbines based on Markov model and subset simulation
The success of wind energy, superior to the traditional energy source in sustainability and
affordability, is dependent on the reliability of wind turbines. However, to assess the fatigue …
affordability, is dependent on the reliability of wind turbines. However, to assess the fatigue …
[HTML][HTML] Rain droplet impact stress analysis for leading edge protection coating systems for wind turbine blades
The energy transition requires clean energy production for which offshore wind shows high
potential. The blade length of offshore wind turbines is currently exceeding 100 m with …
potential. The blade length of offshore wind turbines is currently exceeding 100 m with …