Paper published in a book (Scientific congresses and symposiums)
Inspection and Maintenance Planning for Offshore Wind Support Structures: Modelling Reliability and Inspection Costs at the System Level
Lacerda Giro, Felipe; Chakkalakkal Joseph, Jose Mishael; Morato Dominguez, Pablo Gabriel et al.
2022In Proceedings of the ASME 2022 41st International Conference on Ocean, Offshore and Arctic Engineering
Peer reviewed
 

Files


Full Text
OMAE2022-78269.pdf
Author postprint (399.74 kB)
Request a copy

All documents in ORBi are protected by a user license.

Send to



Details



Keywords :
structural reliability; risk analysis; fatigue; probabilistic modeling; stochastic modeling; offshore wind foundations; offshore wind support structures; inspection and maintenance planning; I&M planning; dynamic Bayesian network; system level modeling; fatigue-corrosion deterioration; offshore wind turbine
Abstract :
[en] In the context of achieving a decarbonized economy, wind farms installed farther offshore provide the opportunity of harnessing more stable wind energy. Exposed to the combined cyclic loading of wind and waves, offshore wind substructures withstand, however, harsh fatigue and corrosion deterioration mechanisms throughout their operational life. In this scenario, Inspection and Maintenance (I&M) planning methods enable efficient control of structural failure risks by timely allocating inspection and maintenance interventions. In this work, we discuss the benefits of approaching I&M planning at the system level, thus determining strategies that are influenced by system risk metrics. To support the discussion, I&M policies are identified for an offshore wind support structure composed of 12 fatigue hotspots located at three weld connections and exposed to varying corrosion-fatigue deterioration intensities. Within the numerical experiments, the heuristics-based policy search is conducted both at component and system levels, exploring various structural redundancy settings. The results demonstrate that a systematic treatment of structural reliability can only be achieved by modelling the entire structural system, assigning and considering global failure risk metrics during the policy search. Independently of the investigated structural reliability model, system-based I&M policies outperform component-based strategies.
Research Center/Unit :
UEE - Urban and Environmental Engineering - ULiège
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Lacerda Giro, Felipe  ;  Université de Liège - ULiège > Département ArGEnCo > ANAST (Systèmes de transport et constructions navales)
Chakkalakkal Joseph, Jose Mishael  ;  Université de Liège - ULiège > Département ArGEnCo > Constructions hydrauliques et navales
Morato Dominguez, Pablo Gabriel ;  Université de Liège - ULiège > Département ArGEnCo > ANAST (Systèmes de transport et constructions navales)
Rigo, Philippe  ;  Université de Liège - ULiège > Département ArGEnCo > ANAST (Systèmes de transport et constructions navales)
Language :
English
Title :
Inspection and Maintenance Planning for Offshore Wind Support Structures: Modelling Reliability and Inspection Costs at the System Level
Publication date :
13 October 2022
Event name :
41st International Conference on Ocean, Offshore and Artic Engineering
Event organizer :
ASME
Event place :
Hamburg, Germany
Event date :
June 5–10, 2022
Event number :
41
Audience :
International
Main work title :
Proceedings of the ASME 2022 41st International Conference on Ocean, Offshore and Arctic Engineering
Publisher :
ASME, New York, United States - New York
Edition :
Volume 2: Structures, Safety, and Reliability
ISBN/EAN :
978-0-7918-8586-4
Peer reviewed :
Peer reviewed
Name of the research project :
MAXWind – MAintenance, Inspection and EXploitation Optimization of Offshore Wind Farms subjected to Corrosion-Fatigue
Funders :
SPF Economie - Service Public Fédéral Économie, PME, Classes moyennes et Énergie
Funding number :
R.ETAT.0634-Z
Funding text :
In April 2018, it was publicly announced that as part of the exit strategy from nuclear power, Belgium will double the area of its North Sea waters made available to offshore wind parks after 2020. After 2020, a new, 221-squarekilometre area near French waters is planned. This strategy clearly emphasizes the support of the Belgian government for wind energy as an important energy supplier for the future. In the near future there will be parks with different lifetime and this requires a sound lifetime assessment procedure to ensure the good functioning of the wind turbines and secure the energy supply. The steel support structures (jackets, monopiles) are subjected to both fatigue and corrosion, impacting their lifetime. There is a need for accurate lifetime assessment tools that can help offshore wind farm owners and operators to optimize the wind farm in the future lowering the Levelized Cost of Energy (LCoE) below 60€/MWh. This is of importance for the farms that are currently in operation and need an optimized maintenance strategy and possible extension of their exploitation, as well as for new projects which can also benefit from lifetime assessment tools in the design process.
Belgian Energy Transition Fund (ETF)
Available on ORBi :
since 21 October 2022

Statistics


Number of views
104 (9 by ULiège)
Number of downloads
2 (1 by ULiège)

Scopus citations®
 
3
Scopus citations®
without self-citations
1
OpenCitations
 
0
OpenAlex citations
 
1

Bibliography


Similar publications



Contact ORBi