Intertwining uncertainty analysis and decision-making about drinking water infrastructure

Infrastructures, generally designed to have a long service life, are particularly vulnerable to long term changes that can influence their functioning. Therefore it is important that uncertainties are taken into account as much as possible from the beginning of the planning process of infrastructures. This thesis focuses on drinking water...

Uncertainty Analysis applied to Numerical Models of River Bed Morphology

Uncertainty Analysis of Phytoplankton Dynamics in Coastal Waters

There is an increasing concern about the interactions between phytoplankton and coastal ecosystems, especially on the negative effects from coastal eutrophication and phytoplankton blooms. As the key indicator of the coastal ecosystem, phytoplankton plays an important role in the whole impact-effect chain. Primary production by phytoplankton...

Refining the Committee Approach and Uncertainty Prediction in Hydrological Modelling

Due to the complexity of hydrological systems a single model may be unable to capture the full range of a catchment response and accurately predict the streamflows. The multi modelling approach opens up possibilities for handling such difficulties and allows improve the predictive capability of models. One of multi modelling approaches called ...

Stochastic modelling of river morphodynamics

Modern river management has to reconcile a number of functions, such as protection against floods and provision of safe and efficient navigation, floodplain agriculture, ecology and recreation. Knowledge on uncertainty in fluvial processes is important to make this possible, to design effective river engineering works, for operational...

Probabilistic assessment of the performance of combined sewer systems

Integration of stochastic generation in power systems

Stochastic Generation is the electrical power production by the use of an uncontrollable prime energy mover, corresponding mainly to renewable energy sources. For the large-scale integration of stochastic generation in power systems, methods are necessary for the modeling of power generation uncertainty. In this thesis, new tools for the...

Helicopter-Ship Qualification Testing

The goal of this research project is to develop a novel test methodology which can be used for optimizing cost and time efficiency of helicopter-ship qualification testing without reducing safety. For this purpose, the so-called “SHOL-X” test methodology has been established, which includes the associated predictive software tool as developed in...

Statistical methods for the risk-based design of civil structures

Control of Propeller Cavitation in Operational Conditions

Off design conditions can have a severe impact on ship propulsion system behaviour. Resistance increase for instance leads to a higher engine loading, and can also easily lead to a decrease of cavitation inception speed with respect to calm water conditions. Wakefield variations due to ship motions, waves and manoeuvres also have effect on...

The interaction between diesel engines, ship and propellers during manoeuvring

Early observability of EOR process effectiveness

This dissertation focuses on polymer flooding, as an example of an EOR process. Chemical floods such as polymer floods are EOR techniques intended to increase sweep and/or displacement efficiency. Even though the compatibility and the efficiency of the injected chemicals are thoroughly tested and validated in the laboratory, uncertainty still...