Results
Dealing with input, parameter and conceptual uncertainty in groundwater modelling for sustainable groundwater management
With the increasing demand and pressure on the groundwater resources, accurate predictions of groundwater systems, as well as sustainable water management practices, are essential for policy making.
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Groundwater drought: influencing factors, effects and efficacy of potential adaptation measures
During the past years, Europe has been confronted with frequent, long and intense periods of drought. This has also affected groundwater levels, which have been low or very low in many areas.
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Self-learning algorithms for solar shading systems
Daylighting in offices creates a comfortable and healthy working environment for its users. Additionally, it can decrease the electricity consumption for artificial lighting. However, maximizing the amount of daylight can cause some issues.
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Co-design Optimization and Predictive Model Control for Power Electronics Converters based on WBG: Robust Control and High Reliability
Wide Band Gap (WBG)- based Power electronics converters are promising technologies to improve the overall performance of drivetrains towards energy-efficient powertrains at a wide operating range in terms of power density and thermal constraints.
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Smart integration of V2G (Vehicle-to-grid) into local renewable systems based – smart grid: Advanced Power converters and predictive control systems
Vehicle-to-Grid (V2G) and energy storage are promising technologies to enhance the grid integration of local renewable energy systems.
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Productivity and usefulness of travel time in the age of digitalisation
In the last 15 years, an increasing number of studies argued that the disutility that we attach to travel time in transport appraisal can be reduced by attributing productive or enjoyable activities to journeys.
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Alternative chemistries for self-healing materials
At the Physical Chemistry and Polymer Science (FYSC) research group we have years of experience using the reversible Diels-Alder cycloaddition reaction between furan and maleimide functional groups to create polymer network systems that could be formed in a dynamically reversible fashion.
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Rheokinetics and reactive modelling for advanced processing of reversible polymer networks
The expertise of the Physical Chemistry and Polymer Science (FYSC) research group lies in the study of structure-processing-property relations of many material classes, with a large focus on polymer materials.
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Blurring the public-private divide: How citizens respond to and manage political polarisation
Levels of political polarization seem to have reached new heights: while some polarization between competing sides of the electorate is to be expected and may even be conducive to the crystallization of democratic alternatives, polarisation levels today seem to translate into a growing dislike fo
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