A Model Predictive Control Approach Towards the Energy Efficiency of Submerged Dredging

Due to the expected increase in coastal replenishment along the Dutch coastline, and the need to decrease pollutant emissions in the Netherlands and worldwide, the Autonomous Low Energy Replenishment Dredger (ALERD) is developed. The ALERD is a sustainable and cost-effective solution to perform coastal replenishment work along the Dutch...

Learning parametric model predictive control strategies for frequency control of a microgrid

Microgrids are a promising tool that can help transition the electricity grid towards a smart grid. They can provide significant benefits to the power grid in the form of increased reliability and flexibility. The microgrid controller sets the electricity consumption and generation of all controllable devices within the microgrid and controls...

Determine and explain confidence in predicting violations on inland ships in the Netherlands

For real-world problems even the most complex machine learning models can only achieve a certain accuracy. This makes it important to understand why a specific prediction is made. Explanations can provide human decision support by allowing human experts to assess the reasoning of the model as well as the correctness. Specifically, in this thesis...

Uncertainty analysis of the mud infill prediction of the Olokola LNG terminal

For a proposed liquefied natural gas export facility, Olokola LNG (OKLNG), located at the western limits of the Niger Delta in Nigeria a 10 km long and 17 m deep approach channel is designed for tankers to reach the terminal at the shoreline. Mud is expected to be deposited in the channel because of the persistent swell climate which mobilizes...