In recent years, Europe has been faced with the problem of continued urbanization and excessive energy consumption, approaching resource depletion energy available. This is why the notions of sustainability and resilience have become paramount in resource management and policy development. In such a context, renewable energies play a key role in the global energy pool. Among these, wind energy production represents almost half (43%) of the global production capacity [1]. Nevertheless, despite its obvious merits, the "large wind industry" has a number of potential shortcomings related largely to the short lifespan of these components and the lack of effective operation and maintenance (Ο&Μ) planning plans. . The latter can in fact amount to 25 to 30% of the total levelized cost of the kWh produced over the lifespan of a wind turbine (WT) or 75 to 90% of the investment costs [2].The duration The lifespan of a wind turbine (WT) is set at around 20 years, with very few wind turbines having in fact already reached their expected lifespan. This relative infancy results in a lack of experience in appropriate maintenance and optimal planning of the operation of these installations. However, unlike conventional engineering systems, wind turbines are subjected to significant levels of continuous cyclic loads, making the system prone to fatigue. Due to the harsh conditions they are subjected to, wind turbine components are designed to withstand a rather short lifespan of 20 years, to ensure that the system is not left idle due to early failure of a sub-component. component. In reality, the important question of when repair or replacement of components might actually be preferable to complete replacement still remains...... middle of paper ...... y, the remaining challenge is to demonstrate the benefits of long-term monitoring of these systems. The second pillar of the suggested framework is a methodology for translating the value of monitoring information into quantifiable terms, providing a reliability framework for WT LCA, capable of addressing the following issues, as identified in [4]: 1. Automate inspection and maintenance work.2. Increase safety by minimizing the risk of accidents, several of which have been reported as fatal.3. Reduce excessive operation and maintenance costs, which increase disproportionately towards the advanced life stage of a WT (by minimizing downtime, reducing the frequency of sudden failures and maintenance and logistics costs associated, ensuring reliable electricity production). Figure 2 illustrates the proposed diagram, inspired by the work of Frangopol et al.. (2001) [9].