The exorbitant electricity generation expense is the primary obstacle to the proliferation of wind energy technology. Industry specialists predicted in 2020 that the cost of offshore and onshore wind energy would diminish by 37-49% by 2050, resulting in a surge of wind farm constructions. The vast amount of available space in marine locations enables the installation of larger offshore wind farms (OWF) with greater capacity. Furthermore, the abundant wind resources in sea areas produce more energy, making it the primary driver behind the expansion of OWFs. Climate change should be considered in the planning stage of future OWF expansion, as it will lead to more frequent and intense extreme weather events (EWE). Generally, wind turbines are built to a particular standard of past or current climate conditions, such that their long service life equals 25 years. As a consequence of climate change, a wind turbine will be exposed more frequently to EWEs than those for which they were designed, which may lead to decreased operating performance and physical damage to the turbine structure. Given this, there is a need to investigate the planning and siting of OWF to ensure resilience to future decrease in wind generation and future increase in weather extremes. This study showcases how OWF spatial planning in the UK exclusive economic zone (EEZ) could become vulnerable to extreme wind events in the future. The research focuses on two critical aspects of EWEs: firstly, the possibility of future changes in extremely HWE that surpass both the wind turbine cut-out wind speed and the 50-year return period extreme loading definition. Secondly, the study examines extreme LWE by analysing intensities for still wind across multiple time windows to predict their occurrence in the future. Additionally, the future changes in wind production and the future stability of wind power have been considered. The UK climate projections (UKCP18) is used in a cutting-edge horizontal resolution of 2.2 km to investigate future climate change projection. Mean wind speed, maximum wind gust, mean temperature, and mean pressure datasets are used to conduct the research. The research output greatly supports planners and stakeholders in designing their future wind energy projects and the design of better risk mitigation policies for future siting of OWF
