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Sitemap > Bulletin Board > Diplomarbeiten, Bachelor- und Masterarbeiten > CFD Simulation of an air or flue gas cleaning process by means of enzymatic katalysis
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Masterarbeit

CFD Simulation of an air or flue gas cleaning process by means of enzymatic katalysis

13.03.2025, Diplomarbeiten, Bachelor- und Masterarbeiten

The aim of this research is to provide a catalytic formulation that generates enzymatically active surfaces for the detoxification of harmful halogenated alkanes. Toxic gases that cannot be captured by standard filtering technics such as fluorochlorohydrocarbons (CFCs) are converted into products that are harmless to the environment and health by means of enzymatic catalysis.

Master – Thesis 11.03.2025
CFD Simulation of an air or flue gas cleaning process by means of
enzymatic katalysis

Description
The aim of this research is to provide a catalytic formulation that generates enzymatically active surfaces for the detoxification of harmful halogenated alkanes. Toxic gases that cannot be captured by standard filtering technics
such as fluorochlorohydrocarbons (CFCs) are converted into products that are harmless to the environment and health by means of enzymatic catalysis.
A continuous flow reactor (CFL) is simulated in Ansys Fluent to derive velocity and concentration fields. The active surface is modelled by appropriate Methods like packed-bed or granular technique in Ansys Fluent. The physical adsorption properties of the enzymes on the active surface have to be modelled. Validation parameters have to be defined (e.g. pressure loss, break through time). Different geometry developments should be compared regarding the most homgeneous concentration distribution of substrates on the active surface aiming for the size of the necessary active surface.

Kontakt: b.huber@tum.de

More Information

https://www.epe.ed.tum.de/res/unser-lehrangebot/unsere-bachelor-masterarbeiten/

M_CFD_of_enzymatic_air_cleaning_english_11032025.pdf M_CFD_of_enzymatic_air_cleaning_english_11032025.pdf, PDF (Type: application/pdf, Size: 283.4 kB) Save attachment

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