Filtration of natural organic matter and micro pollutants
N.J. Horsman (TU Delft - Electrical Engineering, Mathematics and Computer Science)
C. Vuik – Mentor (TU Delft - Numerical Analysis)
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Abstract
This study discusses the filtration of micro-pollutants and natural organic matter
from water by a granular activated carbon filter. To determine the efficiency of a
filter, simulations are run to predict it’s efficiency. This study will describe a demo application and it’s underlying model that are used to determine the efficiency of a filter over time. The model is able to predict the adsorption of pollutants by the filter. But the model requires a high computational power. A solution to this problem is to look for a better time-integration method. This study will look into the filtration process and usage of time integration-methods on the model. The following research question will be posed: What numerical method is most valid for the simulation of the filtration process by a GAC filter?