Structural Health Monitoring for Assessment and Lifetime Extension of Wind Farms

Häftad, Engelska, 2027

AvAbdollah Malekjafarian,Filipe Magalh�es,Francisco Pimenta,Vikram Pakrashi,Babak Moaveni

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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.

Covers the increasingly important topic of structural health monitoring of wind turbines
Offers a thorough exploration of the lifetime extension of wind turbines
Details reliability and safety assessment methods, condition assessment methods, estimation of the remaining useful life, and standardization

Produktinformation

Utgivningsdatum2027-03-01
Mått152 x 229 x undefined mm
FormatHäftad
SpråkEngelska
SerieWind Energy Engineering
Antal sidor400
FörlagElsevier Science
ISBN9780443454813

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Energiteknik inom Naturvetenskap och teknik

Dr. Abdollah Malekjafarian is currently an Assistant Professor and leader of the “Structural Dynamics and Assessment Laboratory (SDA-Lab), in the School of Civil Engineering at University College Dublin (UCD), in Ireland. He received his PhD in Civil Engineering from UCD in 2016. His main areas of research interest are structural dynamics and random vibrations for civil infrastructure including wind turbines and transport Infrastructure. Dr. Malekjafarian is also the Coordinator of the WindLEDeRR project (Lifetime Extension Decommissioning Repowering Repurposing), a comprehensive decision support tool for end-of-life wind turbines in Ireland.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.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.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.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.

1. Introduction to Structural Health Monitoring for assessment and lifetime extension of wind farmsSection 1 – Numerical modelling and digital twinning of wind farms2. Multi-physics simulation of wind turbines3. Wind farm modelling using transfer learning4. Soil structure interaction modelling for monopile foundations for offshore wind turbines5. Digital twinning of offshore wind turbinesSection 2 – Structural Health Monitoring (SHM) of wind farms6. Structural health monitoring of offshore wind turbines using digital twins7. Data-driven structural health monitoring of wind turbine blades8. Vibration based assessment of foundations of offshore wind turbines 9: Mitigation of environmental variables in wind turbines structural health monitoring10. Early fault detection in wind turbines using AI-based methods11. Population-based wind farm monitoring12. Scour structural health monitoring in monopile-based offshore wind turbines (OWTs)13. Wind turbine drivetrain structural health monitoringSection 3 – Fatigue life evaluation of wind turbine components:14. TMDIs for vibration control of floating wind turbines for fatigue control15. Wind turbine control considering lifetime extension16. Wind turbine tower fatigue evaluation17. Wind turbine blade fatigue evaluation18. Wind turbine drivetrain fatigue evaluation19. Fatigue monitoring of wind turbine monopile foundations20. Fatigue analysis of floating offshore wind turbines (OWTs)Section 4 – Decision-making for lifetime extension21. Bayesian reliability analysis of wind turbines22. Decision making for lifetime extension of wind turbines23. Risk-informed lifetime extension of wind turbines24. Lifetime extension and management of wind farms – cost analysis