Structural health monitoring; Monopile support structure; Value of information
Abstract :
[en] The use of load and structural performance measurement information is vital for efficient structural integrity management and for the cost of energy production with Offshore Wind Turbines (OWTs). OWTs are dynamically sensitive structures subject to an interaction with a control unit exposed to repeated cyclic wind and wave loads causing deterioration and fatigue. This study focuses on the quantification of the value of structural and environmental information on the integrity management of OWT structures, with the focus on fatigue of welded joints. By utilizing decision analysis, structural reliability methods, measurement data, as well as the cost-benefit models, a Value of Information (VoI) analysis can be performed to quantify the most beneficial measurement strategy. The VoI assessment is demonstrated for the integrity management of a butt welded joint of a monopile support structure for a 3 MW OWT with a hub height of approximately 71m. The conditional value of three-year measured oceanographic information and one-year strain monitoring information is quantified posteriori in conjunction with an inspection and repair planning. This paper provides insights on how much benefits can be achieved through structural and environmental information, with practical relevance on reliability-based maintenance of OWT structures.
Disciplines :
Civil engineering
Author, co-author :
Long, Lijia; Aalborg University > Civil Engineering
Quang, Anh Mai; DNV-GL > Renewables Certification
Morato Dominguez, Pablo Gabriel ; Université de Liège - ULiège > Département ArGEnCo > ANAST (Systèmes de transport et constructions navales)
Sørensen, John Dalsgaard; Aalborg University > Civil Engineering
Thöns, Sebastian; Lund University > Building and Environmental Technology
Language :
English
Title :
Information value-based optimization of structural and environmental monitoring for offshore wind turbines support structures
Seyr, H., Muskulus, M., Decision support models for operations and maintenance for offshore wind farms: a review. Appl. Sci., 9, 2019, 278.
Yang, W., Court, R., Jiang, J., Wind turbine condition monitoring by the approach of SCADA data analysis. Renew. Energy 53 (2013), 365–376.
Kusiak, A., Li, W., The prediction and diagnosis of wind turbine faults. Renew. Energy 36 (2011), 16–23.
Lapira, E., Brisset, D., Ardakani, H.D., Siegel, D., Lee, J., Wind turbine performance assessment using multi-regime modeling approach. Renew. Energy 45 (2012), 86–95.
Khan, A.A., Zafar, S., Khan, N., Mehmood, Z., History current status and challenges to structural health monitoring system aviation field. J. Spacecraft Technol. 4 (2014), 67–74.
Rahim, A., Sparrevik, P., Mirdamadi, A., Structural Health Monitoring for Offshore Wind Turbine Towers and Foundations, Offshore Technology Conference. 2018, Offshore Technology Conference.
Europe, W., The European Offshore Wind Industry—Key Trends and Statistics 2016. 2017, Wind Europe, Brussels, Belgium, 37.
Fischer, K., Coronado, D., Condition Monitoring of Wind Turbines: State of the Art, User Experience and Recommendations. 2015, Fraunhofer-IWES, Bremerhaven.
Rolfes, R., Tsiapoki, S., Häckell, M., Sensing Solutions for Assessing and Monitoring Wind Turbines, Sensor technologies for civil infrastructures. 2014, Elsevier, 565–604.
Farrar, C.R., Worden, K., Structural Health Monitoring: a Machine Learning Perspective. 2012, John Wiley & Sons.
Thöns, S., Faber, M.H., Val, D.V., On the value of structural health monitoring information for the operation of wind parks. Proceedings of the Safety, Reliability, Risk, Resilience and Sustainability of Structures and Infrastructure, 12th International Conference on Structural Safety and Reliability, Wien Vienna, Austria, 2017, 6–10.
Thöns, S., Monitoring based condition assessment of offshore wind turbine support structures. IBK Bericht, 2012, 345.
Thöns, S., Schneider, R., Faber, M.H., Quantification of the Value of Structural Health Monitoring Information for Fatigue Deteriorating Structural Systems, 12th International Conference on Applications of Statistics and Probability in Civil Engineering. 2015.
May, A., McMillan, D., Thöns, S., Economic analysis of condition monitoring systems for offshore wind turbine sub-systems. IET Renew. Power Gener. 9 (2015), 900–907.
Raiffa, H., Schlaifer, R., Applied Statistical Decision Theory, Division of Research, GraduateSchool of Business Administration. 1961, Harvard University, Boston RaiffaApplied Statistical Decision Theory1961, DOI.
Agusta, A., Thöns, S., On the development of tools for decision analyses. 1st International Conference on Structural Integrity for Offshore Energy Industry, 2018.
Straub, D., Generic approaches to risk based inspection planning for steel structures. Vdf Hochschulverlag, 284, 2004 AG.
Mai, Q.A., Weijtjens, W., Devriendt, C., Morato, P.G., Rigo, P., Sørensen, J.D., Prediction of remaining fatigue life of welded joints in wind turbine support structures considering strain measurement and a joint distribution of oceanographic data. Mar. Struct. 66 (2019), 307–322.
Dnv, G., Fatigue Design of Offshore Steel Structures. 2016, Recommended Practice DNVGL-RP-C203, 20.
Sørensen, J.D., Reliability-based Calibration of Fatigue Safety Factors for Offshore Wind Turbines, the Twenty-First International Offshore and Polar Engineering Conference. 2011, International Society of Offshore and Polar Engineers.
Dnv, G., Dnv Gl, Probabilistic Methods for Planning of Inspection for Fatigue Cracks in Offshore Structures, 2015, Standard No. DNVGL-RP-C210, Oslo, Norway.
Martinez-Luengo, M., Shafiee, M., Guidelines and cost-benefit analysis of the structural health monitoring implementation in offshore wind turbine support structures. Energies, 12, 2019, 1176.
Wirsching, P.H., Fatigue reliability for offshore structures. J. Struct. Eng. 10 (1984), 2340–2356.
Straub, D., Generic Approaches to Risk Based Inspection Planning for Steel Structures. PhD. thesis, 2004, Chair of Risk and Safety, Institute of Structural Engineering. ETH Zürich.
Faber, M.H., Sørensen, J.D., Tychsen, J., Straub, D., Field implementation of RBI for jacket structures. J. Offshore Mech. Arctic Eng. 127:3 (2005), 220–226.
Agusta, A., Thöns, S., On the development of tools for decision analyses. 1st International Conference on Structural Integrity for Offshore Energy Industry, Aberdeen, United Kingdom, September 6 - 7, 2018.