Abstract
In order to improve the operation and maintenance (O&M) of offshore wind turbines, a new Petri net (PN)-based offshore wind turbine maintenance model is developed in this paper to simulate the O&M activities in an offshore wind farm. With the aid of the PN model developed, three new potential wind turbine maintenance strategies are studied. They are (1) carrying out periodic maintenance of the wind turbine components at different frequencies according to their specific reliability features; (2) conducting a full inspection of the entire wind turbine system following a major repair; and (3) equipping the wind turbine with a condition monitoring system (CMS) that has powerful fault detection capability. From the research results, it is found that periodic maintenance is essential, but in order to ensure that the turbine is operated economically, this maintenance needs to be carried out at an optimal frequency. Conducting a full inspection of the entire wind turbine system following a major repair enables efficient utilisation of the maintenance resources. If periodic maintenance is performed infrequently, this measure leads to less unexpected shutdowns, lower downtime, and lower maintenance costs. It has been shown that to install the wind turbine with a CMS is helpful to relieve the burden of periodic maintenance. Moreover, the higher the quality of the CMS, the more the downtime and maintenance costs can be reduced. However, the cost of the CMS needs to be considered, as a high cost may make the operation of the offshore wind turbine uneconomical.
Highlights
Wind power is one of the fastest-growing emerging industries in recent years
When the wind turbine is equipped with a basic condition monitoring system (CMS) and only “advanced service” is assumed to be conducted every six months, the average number of failures and the average number of faults occurring in each subsystem in the lifetime of the turbine can be obtained by calculating the average value of the times that each subsystem fails and the average value of the times that each subsystem develops a fault in the lifetime of the turbine in
To further improve the operation and maintenance (O&M) of offshore wind turbines (OWTs) and answer some important questions related to them, a new Petri net (PN) model and a new maintenance strategy assessment criterion, namely
Summary
Wind power is one of the fastest-growing emerging industries in recent years. For example, 205 GW of wind power capacity has been built in Europe to date, accounting for 15% of the EU’s total electricity demand in 2019 [1]. To investigate the impact of such an approach upon the safety and reliability of the turbine system, in the PN model developed a full inspection of the entire wind turbine system is conducted following performing a major repair Such an approach would benefit wind farms in the long run as they could run at the lowest cost. Health States, and Maintenance Strategies of the Offshore Wind Turbine
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