PhD research: Characterising the dynamics of offshore wind farms by combining data science and oceanographic techniques
The aim of this project is to use satellite data to better understand the marine conditions across offshore wind farm sites. Readily available measurements from satellites can provide information on wave conditions over an offshore wind farm area and the surrounding ocean and coastlines. Using data science techniques to combine satellite data with wave buoy measurements and numerical models can improve the speed, accuracy, and accessibility of marine forecasting. Improved forecasting is necessary to optimise operations and maintenance for offshore wind farms, especially as wind turbines are installed further from shore and in more extreme marine environments. This will aid in reducing the costs associated with offshore wind, increasing the amount of renewable energy we use and decarbonising our energy supply.