Information value-based optimization of structural and environmental monitoring for offshore wind turbines support structures
Long, L.; Mai, Q.A.; Morato, P.G.; Sørensen, J.D.; Thöns, S. (2020). Information value-based optimization of structural and environmental monitoring for offshore wind turbines support structures. Renew. Energy 159: 1036-1046. https://hdl.handle.net/10.1016/j.renene.2020.06.038
In: Renewable Energy. Elsevier: Oxford. ISSN 0960-1481; e-ISSN 1879-0682, meer
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| Author keywords |
Structural health monitoring; Offshore wind turbine; Monopile support structure; Value of information; Weld fatigue; Decision tree; Dynamic Bayesian Network |
| Auteurs | | Top |
- Long, L.
- Mai, Q.A.
- Morato, P.G., meer
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| Abstract |
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. |
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