What is it about?

A parametric study is performed on how the variation of failure and repair models, vessels logistic times, weather windows and waiting times affect the performance of offshore wind turbines. The baseline model results from the optimization of an operation and maintenance strategy. Generalized stochastic Petri nets with predicates coupled with Monte Carlo simulation are used for modelling and simulation.

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Why is it important?

The offshore environment limits the accessibility to the wind turbines and subjects them to faster degradation processes than in onshore. Thus, operation and maintenance is more challenging and costly and represents a considerable share of the cost of energy. A set of factors that most influence the turbines’ performance, are identified so that actions can be taken to minimize their effect. A recent approach based on Generalized stochastic Petri nets with predicates coupled with Monte Carlo simulation are used for modelling and simulation of a complex system.

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This page is a summary of: Modelling and simulation of the operation and maintenance of offshore wind turbines, Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability, June 2015, SAGE Publications,
DOI: 10.1177/1748006x15589209.
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