Methane oxidation in a biofilter (Part 1): Development of a mathematical model for designing and optimization.
The aim of this work is the evaluation of the efficiency of such a biofilter, through the application of a mathematical model which describes the biological oxidation process. This mathematical model is able to predict the efficiency of the system under varying operating conditions. Literature data have been used in order to build the model. The factors that mostly affect the process and which actually regulate the entire process have been highlighted in this work. Specifically, it was found that temperature, flow and methane concentration are the most important parameters that influence the system. The results obtained from the mathematical model showed also that the biofilter system is simple to implement and manage and allows the achievement of high efficiency of methane oxidation. In the optimal conditions for temperature (between 20-30°C), residence time (between 0.7-0.8 h) and methane molar fraction (between 20-25%) the efficiency of methane oxidation could be around 50%.
a School of Engineering , University of Basilicata , Potenza , Italy.|b Department of Industrial Biological Sciences , Ghent University Campus Kortrijk , Kortrijk , Belgium.
Corrado
C
Amodeo
a School of Engineering , University of Basilicata , Potenza , Italy.
Salvatore
S
Masi
b Department of Industrial Biological Sciences , Ghent University Campus Kortrijk , Kortrijk , Belgium.
Stijn W H
SW
Van Hulle
a School of Engineering , University of Basilicata , Potenza , Italy.
Pierfrancesco
P
Zirpoli
a School of Engineering , University of Basilicata , Potenza , Italy.
Ignazio M
IM
Mancini
a School of Engineering , University of Basilicata , Potenza , Italy.
Donatella
D
Caniani
D005374:Filtration; D008697:Methane / Q000737:chemistry*; D008962:Models, Theoretical; D010084:Oxidation-Reduction; D012680:Sensitivity and Specificity; D013696:Temperature
D008697:Methane
Biofilters; landfill gas; methane emission; methane oxidation; methanotrophs microorganisms