The demand for clean energy has led to potential cost-effective solutions for the offshore industry. One of these solutions is shared mooring systems, where floating offshore structures for renewable energy are coupled to each other. While this approach saves mooring lines and anchors, it introduces new dynamic loading compared to conventional mooring systems. This study focuses on the feasibility of using a shared mooring system to combine floating offshore wind and floating solar support structures in different configurations in a farm layout.

This research uses the Volturn US-S platform to model the floating wind turbines and recreates the Tractebel Seavolt concept for the modelling of the floating solar arrays. Six configurations are simulated, undergoing irregular waves under various wave headings, load cases, and line materials. The configurations involve two wind turbines with one or more solar arrays in between them. A Quasi-dynamic model is used to identify critical cases. These cases are re-evaluated using OrcaFlex. The assessment of these configurations is done based on two Key Performance Indicators, related to line tensions and the floating support structures' displacements. During the process, polyester lines are chosen due to their favourable characteristics.

The four configurations that met the Key Performance Indicators are compared to a base case of a single turbine regarding its displacements and anchored line tensions. Effective utilisation of the shared lines and limited displacements lead to a preference for the configuration with three solar arrays. Additionally, the anchored line tensions of the turbine in this configuration increase the least compared to other configurations.

In summary, using a shared mooring system to combine both floating offshore wind structures and floating solar structures in a farm layout is feasible. Further research should be done on other configurations and the impact of these mooring systems on the Levelized Cost Of Energy. Additionally, wind and current loading should be incorporated in future studies.

When creating electronic devices, it is essential to model what happens when an electromagnetic field hits the device and it scatters. Conventionally, this can be modelled using the Marching-on-in-Time algorithm. This can become computationally expensive for complex systems. To speed up the algorithm, the Plane-Wave Time-Domain algorithm is combined with the MOT algorithm. To accelerate the process even more, part of the algorithm is implemented using a Graphics Processing Unit, or GPU.

To test if using GPUs for this type of problem is actually beneficial, three experiments are set up. The first one tests the basic operations of addition and multiplication on matrices and vectors of various sizes, to determine if and when the computation time of the GPU is lower than that of a CPU. The second experiment tests the use of Fast Fourier Transform planner functionality and compares the CPU computation time with that of the GPU for the FFT of matrices of various sizes. The third experiment compares an example of the PWTD algorithm on the CPU and the GPU. These experiments are performed on three different devices.

The results from experiment 1 and 2 show that, after a certain point, the GPU is almost always faster, no matter the operation. Experiment 3 shows that the current GPU implementation is currently not as fast as the regular PWTD algorithm, though one of the devices is only 0.003\% slower.

In conclusion, theoretically a decrease in computation time is expected. From experiment 3 it follows that it is not the case yet, though with more optimisation the GPU implementation would almost certainly become faster.