Structural Health Monitoring for Assessment and Lifetime Extension of Wind Farms

Erscheinungsjahr 2027
ISBN: 978-0-443-45481-3
Verlag: Elsevier Science

Buch, Englisch, 400 Seiten, Format (B × H): 152 mm x 229 mm

Structural Health Monitoring for Assessment and Lifetime Extension of Wind Farms provides, for the first time, a comprehensive guide to recent efforts on the extension of lifetime of wind turbines, including reliability and safety assessment methods, recent condition assessment methods, estimates of remaining useful life, and standardization. While making accurate and reliable decisions on lifetime extension of wind farms is becoming an important issue in the wind energy sector, there are limited resources on this topic. Lifetime extension requires an accurate assessment of the turbine’s current condition and an estimation of the so-called remaining useful lifetime. In this context, the digitalization of the turbine system components plays a critical role in ensuring this goal, as it provides the means for monitoring of structural integrity based on data collected by vibration-based sensing systems and SCADA (supervisory control and data acquisition). These methods can be used to detect potential defects in wind turbine components such as cracks, delamination etc. at early stages. The book is organized into four themes, covering numerical modelling and digital twinning, structural health monitoring methods, fatigue life evaluation of turbine components, and decision-making for life extension. This latest volume in the Elsevier Wind Energy Engineering Series is of interest to researchers, academics, graduate students, and industry professionals working in the broad field of wind energy, from research to operations, and with an interest in structural health monitoring and the lifetime extension of wind power production infrastructure.

Autoren/Hrsg.

Magalhães, Filipe

Pimenta, Francisco

Pakrashi, Vikram

Moaveni, Babak

Fachgebiete

• Technische Wissenschaften Energietechnik | Elektrotechnik Energietechnik & Elektrotechnik
• Technische Wissenschaften Energietechnik | Elektrotechnik Alternative und erneuerbare Energien

Inhaltsverzeichnis

1. Introduction to Structural Health Monitoring for assessment and lifetime extension of wind farms

Section 1 – Numerical modelling and digital twinning of wind farms
2. Multi-physics simulation of wind turbines
3. Wind farm modelling using transfer learning
4. Soil structure interaction modelling for monopile foundations for offshore wind turbines
5. Digital twinning of offshore wind turbines

Section 2 – Structural Health Monitoring (SHM) of wind farms
6. Structural health monitoring of offshore wind turbines using digital twins
7. Data-driven structural health monitoring of wind turbine blades
8. Vibration based assessment of foundations of offshore wind turbines 9: Mitigation of environmental variables in wind turbines structural health monitoring
10. Early fault detection in wind turbines using AI-based methods
11. Population-based wind farm monitoring
12. Scour structural health monitoring in monopile-based offshore wind turbines (OWTs)
13. Wind turbine drivetrain structural health monitoring

Section 3 – Fatigue life evaluation of wind turbine components:

14. TMDIs for vibration control of floating wind turbines for fatigue control
15. Wind turbine control considering lifetime extension
16. Wind turbine tower fatigue evaluation
17. Wind turbine blade fatigue evaluation
18. Wind turbine drivetrain fatigue evaluation
19. Fatigue monitoring of wind turbine monopile foundations
20. Fatigue analysis of floating offshore wind turbines (OWTs)

Section 4 – Decision-making for lifetime extension
21. Bayesian reliability analysis of wind turbines
22. Decision making for lifetime extension of wind turbines
23. Risk-informed lifetime extension of wind turbines
24. Lifetime extension and management of wind farms – cost analysis

Über Autor(innen)

Moaveni, Babak
Dr. Babak Moaveni is currently Professor and Associate Chair of Civil and Environmental Engineering, with a secondary appointment in Electrical and Computer Engineering, at Tufts University in the United States. He obtained his Ph.D. in structural engineering at University of California, San Diego, in 2007. His research interests include probabilistic system identification of dynamic systems, Bayesian inference, uncertainty quantification, and verification and validation of computational models with applications to offshore wind turbines. Prof. Moaveni is an ASCE EMI Fellow and previously served as chair of the ASCE EMI Structural Health Monitoring and Control and ASCE SEI Methods of Monitoring Structural Performance committees. He was selected as the 2023 SHM person of the year by the Journal of Structural Health Monitoring. He is currently serving as associate editor for journals of Structural Health Monitoring, ASCE Structural Engineering, and Frontiers in Built Environment – Sensing.

Pimenta, Francisco
Dr. Francisco Carvalho Neto de Queirós Pimenta is an Invited Assistant Professor and Postdoc Researcher in the Faculty of Engineering at the University of Porto, in Portugal. He completed his PhD in Civil Engineering at the University of Porto in 2023. He has published 12 articles in international journals, has supervised 1 MSc dissertation and co-supervised 4, and has participated as a PhD Student Fellow in 1 project and as a Researcher in 5 projects. Dr. Pimenta works in the areas of Engineering and Technology, with emphasis on Civil Engineering and Physical Sciences.

Magalhães, Filipe
Dr. Filipe Magalhães is an Associate Professor with Habilitation and Director of the Structural Testing Laboratory of the Civil Engineering Department, Faculty of Engineering, at the University of Porto (FEUP), in Portugal. He has published 4 book chapters, 67 international journal papers, and more than 100 international conference papers, and has received over 4,000 citations (Scopus). He is the representative of the University of Porto at the EAWE - European Academy of Wind Energy, and Chair of a Task Group at IABSE (TG4.5 Monitoring in Construction). Dr. Magalhães has (co-)supervised 3 ongoing PhDs and 8 concluded PhDs, as well as over 20 master theses, has been a member of the organizing committee of 8 international conferences, and is coordinator of 2 courses on Numerical Modelling of Wind Turbines. He has also been involved in a range of consultancy projects related to wind turbines or dynamic testing of infrastructure in Europe and the US.

Pakrashi, Vikram
Dr. Vikram Pakrashi (PhD, FIEI, MASCE) is the Director of University College Dublin’s Centre for Mechanics, as well as Associate Professor in the School of Mechanical and Materials Engineering at UCD, in Ireland. He is also a Fellow with Chartered Engineers Ireland. Dr. Pakrashi’s research integrates sensors, analytics and fundamental physics to deliver solutions for monitoring and assessing built infrastructure systems. He has led and been active in a wide range of research in this regard, with a strong current focus on renewable energy. He is the current President of the European association on quality control of bridges and structures.