Abstract
In recent decades, renewable energy has attracted attention as a viable energy supply. Among renewable energy sources, offshore wind energy has been considerably growing since longer and larger wind turbine composite blades were deployed. The manufacture of the longer and larger composite blades leads to more wind energy production. However, the wind turbine composite blades are susceptible to damage and defects due to multiple structural loads and harsh operating environments in service. Hence, condition monitoring and maintenance of wind turbine composite blades require in-depth investigation to prevent structural damage and defects and to improve remaining lifetime of the composite structure. The types of damage and defects in wind turbine composite blades are typically delamination, debonding, and cracks, which are influenced by the intrinsic structural nonlinearities, manufacturing process stage, and harsh environmental impacts in service. For these reasons, the regular condition monitoring of the composite blades is required to assess degradation in performance and structural condition to minimise levelised energy costs for maintenance. To improve reliability and sustainability, data-driven inspection with digital twin technology is reviewed as a trend of condition monitoring frameworks. Advanced functional materials to potentially assist current non-destructive testing (NDT) methods or to be utilised as self-sensing performance are reviewed. From manufacturing to the system level, a comprehensive review on progress and trends of monitoring of wind turbine composite blades is carried out including physics-based NDT methods, data fusion in sensor networks, automated system, mechanics, and digital twin technology with the environmental coupling.
| Original language | English |
|---|---|
| Pages (from-to) | 390-412 |
| Number of pages | 23 |
| Journal | Renewable Energy Focus |
| Volume | 44 |
| DOIs | |
| Publication status | Published - 1 Mar 2023 |
Bibliographical note
Funding Information:This work was supported by Wind Blade Research Hub, a collaboration between the University of Bristol and the Offshore Renewable Energy Catapult. We thank Dr. Bent F. Sørensen (Professor, Technical University of Denmark) for his permission to adapt and use materials used in Fig. 4 and Table 1 , respectively. We also thank John Wiley & Sons, Inc. for the permission to adapt materials used in Fig. 15 .
Funding Information:
This work was supported by Wind Blade Research Hub, a collaboration between the University of Bristol and the Offshore Renewable Energy Catapult. We thank Dr. Bent F. Sørensen (Professor, Technical University of Denmark) for his permission to adapt and use materials used in Fig. 4 andTable 1, respectively. We also thank John Wiley & Sons, Inc. for the permission to adapt materials used in Fig. 15.
Publisher Copyright:
© 2022 The Authors
Research Groups and Themes
- Bristol Composites Institute ACCIS
Keywords
- Condition monitoring
- non-destructive testing
- Wind turbine blades
- Maintenance
- Digital twin
