An important factor for the reliability of offshore wind turbines is the high humidity combined with the specific vapors in the air above the sea. If you have the opportunity to compare the operation of offshore turbines and the operation of the same turbines inland for a longer period of time, you will see a significant difference in the intensity of failures. The probability of trouble-free operation will be lower by about 5-7%.

Coefficient of readiness for work /availability/ will be lower by about 8-10%. Coefficient of readiness for work / availability / depending on the mobility, experience and number of people from the service unit. What is also important for availability is the ratio between wind turbines and the number of people in the service unit.

For the construction of modern turbines, the bending forces of the root on the blades are not an important factor, except at extreme wind speeds.

Dear Shabin:

You could benefit from this valuable article about your topic:

" A methodology-to-develop-reduced-order-models to support the operation and maintenance of offshore wind turbines".

Abstract:

From an operation & maintenance (O&M) point of view, it is necessary to model the aero-hydro-servo-elastic (AHSE) dynamics of each wind turbine but, on the other side, wind farms generally include hundreds of wind turbines. Simply using and linking several advanced, single wind turbine models of dynamics to represent a wind farm can be computationally prohibitive. To this end, this paper developed a reduced-order model (ROM), able to capture the relevant dynamics of the system for a specific failure, having a lower computational cost and therefore more easily scalable up to a wind farm level. First, a nonlinear AHSE model is used to derive the time-domain response of the wind turbine degrees of freedom (DOFs). The failure mode, its relevant DOF, and the relevant operational conditions during which the failure is likely to occur are identified. A linearisation of the nonlinear aero-hydro-servo-elastic-drivetrain (AHSE-DT) model is then carried out. Subsequently, a number of linear ROMs are developed based on the linear full-order system but excluding high-frequency states using the modal truncation (MT) method. For the targeted DOF (rotor torque signal) and the load cases simulated, the results from the linear ROMs showed that the blade modes are important to capture not only the DOF of extreme values, but also the DOF of high-frequency responses (above 1.5 Hz). The results from nonlinear ROMs showed that the ROM eliminating all the tower modes (rigid tower) is acceptable to capture the DOF of low-frequency response (below 0.5 Hz), as it has almost the same spectral responses as the full-order nonlinear model.

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Also this article about your topic:

@https://www.sciencedirect.com/science/article/pii/S0142727X19306381.

Indeed, I have attached a Pdf file about your topic:

"Reduced Order Model for Control

Applications in Offshore Wind Turbines"

I hope it will be helpful...

With my best regards...