Optimization study of a hybrid powertrain: Optimization of the system components and energy management of a zero-emission hydrogen powered boat

The company H2 Marine Solutions has designed a zero-emission hydrogen powered boat. This boat is compared to its fossil fuel counterpart more than twice as heavy. The reason for this is that the system components that are used in the hybrid powertrain of the hydrogen powered boat are heavier. The main question of this research is: How can we...

A Convex Economic Model Predictive Control Framework for Hydraulic-Drivetrain Wind Turbines and Farms

In the mission to slow down global warming, the replacement of fossil fuels by renewable energy resources is key. A tipping point in the adoption of renewable energy resources is notable, as they are becoming economically more viable. Offshore wind energy is considered essential in realizing the greenhouse gas emission reduction targets. However...

An optimization based approach to autonomous drifting: A scaled implementation feasibility study

Development of the autonomous vehicle has been a trending topic over the last few years. The automotive industry is continuously developing Advanced Driver-Assistance Systems (ADAS) that partially take over the driver’s workload. This has resulted in an increase in vehicle safety and a decrease in fatal crashes [1]. Full vehicle autonomy has not...

Pumping when the wind blows: Demand response in the Dutch delta

This thesis investigates the potential of a large pumping station in IJmuiden, the Nether-lands, for participating in Demand Response. Due to climate change, renewable energy is onthe rise. The intermittency of energy, together with its unpredictable supply, are a big hurdlefor the energy transition. Two methods are promising solutions to this...

Evaluation and optimization of the control system of the Symphony Wave Power Device

Raising environmental concerns have stimulated the development of renewable energy, including energy from the oceans, which contain a huge potential. In this thesis, particular emphasis is given to wave energy, which can deliver up to 2 TW on a global scale. The aim of this thesis is to optimize the control system of the Symphony Wave Power...

Tuning of Optical Beamforming Networks: A Deep Learning Approach

Optical beamforming networks (OBFNs), which consist of many small and flat antennas, called phased array antennas (PAAs), can be tuned such that the signal beam from the airplanes can be steered towards a satellite. This was proposed as a alternative to the mechanically steered antenna, which has many disadvantages. The problem of tuning a large...

Real-Time Optimistic Planning for the Control of Nonlinear Systems

Optimistic Planning is a model-based online planning algorithm that guarantees near-optimal actions for the control arbitrarily nonlinear systems. Planning algorithms aim to find optimal actions by starting from the current state and developing a tree representation of sequences of actions and resulting states, using a model to simulate state...