Contributions to the Modulating Function Method
The PhD project objective is to study and develop the modulating function method, investigating its properties and capabilities of application.
The aim of the PhD project is to provide a comprehensive power-to-X software platform for industries, designers, and researchers. It is planned to include three main units: energy suppliers, electrolyzers and synthesis plants, and excess heat management. Photovoltaic panels, off-shore and on-shore wind are considered main energy suppliers, which are also actively coupled with the grid and storage systems. The second part of the software is mainly engaged with the development and integration of different synthesis plants, viz. PEM electrolyzers, Alkaline electrolyzers, Solid oxide electrolyzers and methanol and ammonia synthesis plants to simulate and optimize their performance. In the third part, the viable use of the excess heat generated in the synthesis units is analyzed. In this part, the application of heat pumps and thermal energy storage units is also notable. On top of that, economic analysis of the system performance on an hourly basis will be carried out to provide a comprehensive analysis for users.
Applied Cooperative Control for Drones
The aim of the PhD project is to propose an applied cooperative control on drones and develop this approach to carry a slung payload. Carrying a payload is allocated to multiple drones, as a cooperative task for this purpose. This is a very challenging task because the payload will significantly alter the dynamics of the drones. Since payload states are difficult to measure and mass may change, a control strategy based on precise models may fail. Thus, we will examine the impact of change in mass of payload and the dynamics of drones for making a more realistic model. Finally, the performance of drones will be improved.
Nonlinear super-elements for wind turbine blades
The PhD project objective is the development of nonlinear super-elements of wind turbine blades for the improvement of structural models to be used in aeroelastic simulations and blade design optimisation. Traditionally dynamic simulations of wind turbines are based on modelling structural components like the blades using low fidelity models based on beam elements or linear modal expansion. The direct use of high-fidelity models based on shell or solid elements on dynamic models are too computationally costly especially since thousands load cases must be computed.