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  4. Computational Studies on Microreactors for the Decomposition of Formic Acid for Hydrogen Production Using Heterogeneous Catalysts
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Computational Studies on Microreactors for the Decomposition of Formic Acid for Hydrogen Production Using Heterogeneous Catalysts

Journal
Molecules
Date Issued
July 14, 2023
Author(s)
Harkou, Eleana  
Adamou, Panayiota  
Georgiou, Kyproula  
Hafeez, Sanaa  
Al-Salem, Sultan M.  
Villa, Alberto  
Manos, George  
Dimitratos, Nikolaos  
Constantinou, Achilleas  
DOI
10.3390/molecules28145399
Abstract
Sustainable alternatives to conventional fuels have emerged recently, focusing on a hydrogen-based economy. The idea of using hydrogen (H2) as an energy carrier is very promising due to its zero-emission properties. The present study investigates the formic acid (FA) decomposition for H2 generation using a commercial 5 wt.% Pd/C catalyst. Three different 2D microreactor configurations (packed bed, single membrane, and double membrane) were studied using computational fluid dynamics (CFD). Parameters such as temperature, porosity, concentration, and flow rate of reactant were investigated. The packed bed configuration resulted in high conversions, but due to catalyst poisoning by carbon monoxide (CO), the catalytic activity decreased with time. For the single and double membrane microreactors, the same trends were observed, but the double membrane microreactor showed superior performance compared with the other configurations. Conversions higher than 80% were achieved, and even though deactivation decreased the conversion after 1 h of reaction, the selective removal of CO from the system with the use of membranes lead to an increase in the conversion afterwards. These results prove that the incorporation of membranes in the system for the separation of CO is improving the efficiency of the microreactor.
Subjects

carbon monoxide

dehydrogenation

formic acid

hydrogen

membrane

microreactor

File(s)
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Achilleas Constantinou.pdf

Size

2.56 MB

Format

Adobe PDF

Checksum (MD5)

3ba2d48c3ad605ee7eda6ccd019eafff

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