Determining key success factors for adoption of radical architectural innovations in the heavy-duty trucking industry in the Netherlands - a BWM Approach

The past years there has been a major shift in the automotive industry from regular combustion engines that require the use of fossil fuels to more sustainable power trains. Also, innovations as autonomous driving are expected to make transport more sustainable. Especially now, as fuel prices are rising, regulatory pressures and global warming...

The Feasibility of Reinforcement Learning as a replacement for Mixed-Integer Programming for Smart Charging of Electric Vehicles

As the world is currently actively trying to reduce the consumption of fossil fuels, large investments are done in renewable energy sources and ways are sought after to electrify fossil fuel-intensive sectors. In line with these developments, the number of electric vehicles requiring access to the electric power grid has exploded putting...

Practical implementation of reinforcement learning algorithms for giving personalised speed advice to cyclists approaching intersections using function approximation and Dyna

<br/>Being a safe and healthy alternative for polluting and space-inefficient motorised vehicles, cycling can strongly improve living conditions in urban areas. Idling in front of traffic lights is seen as one of the major inconveniences of commuting by bicycle. By giving personalised speed advice, the probability of catching a green light can...

fastFoam - An aero-servo-elastic wind turbine simulation method based on CFD

The current wind turbine design tools are based on aerodynamic simulations using blade element momentum (BEM) codes to calculate loads and power, see for instance the tools HAWC2, Bladed or FAST. This engineering method is computationally efficient, but theoretically valid only for steady two dimensional flow in non-yawed conditions. <br/><br/...

Variable Selection

In this thesis several methods for variable selection for statistical models are examined. There is specific attention for variable selection in so called "dependent data", in which there exists a strong correlation between the independent variables.

Reconsidering a car parts manufacturer's aftermarket distribution network

The research focused on evaluating the appropriateness and performance of a manufacturing company's distribution network. Thereby the company's distribution channels in The Netherlands and in France were investigated.

Dredge Plumes: Ecological risk assessment

Nowadays, the ecological effects of dredge plumes are usually managed based on the precautionary principle. Predictions of suspended sediment levels are made, which have to be compared to thresholds set by the responsible authority. Failing to comply may cause a project to be delayed and thus lead to additional costs. The precautionary principle...