Abstract
Trickle bed reactors (TBR), historically utilized in petroleum
processing and wastewater treatment, now extend their applicability in
biological gas conversions, including syngas biomethanation for
renewable methane production. Despite operational benefits, optimizing
TBR design and scale-up demands a good understanding of the reactor’s
hydraulic behavior and mass transfer phenomena. This study’s novelty is
TBR’s hydraulic characterization in respect to liquid and gas flowrates
and simulation of the gas-liquid interaction by a dynamic gas-liquid
transfer model. Residence time distribution (RTD) experiments in 220 mL
lab- and 5000 mL pilot-scale TBRs with co-current flow of gas and liquid
were conducted to determine the liquid and gas working volume and the
number of tanks for a dynamic tank-in-series (TIS) model. RTD
experiments revealed 2 – 6 tanks for varying liquid flowrate (constant
gas flowrate) and 5 – 8 tanks for varying gas flowrate (constant liquid
flowrate). A dimensionless equation, fitted to RTD experimental data,
predicted the liquid working volume of a TBR at various liquid flowrates
and reactor configurations. TBR simulation by TIS model considering 8
well mixed gas and liquid phase tanks connected in series, resulted in
an excellent model validation with an R2 at 0.99. Finally, the model simulated the mass transfer kinetics of H2, CO, and CO2
in water under varying gas and liquid flowrates for lab- and
pilot-scale TBRs. Simulation results showed increased dissolved gas
concentration with higher gas flowrate (constant liquid flowrate) for
both scales TBR. It was also noticeable that under constant gas
flowrate, the dissolved gas concentration initially decreased (0.01 <
ReL < 17), then increased (17 < ReL < 34), and again decreased (34 < ReL < 105). This behavior was the same for both scales TBR and revealed an optimum ReL value irrespective of TBR size.
Original language | English |
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Article number | 143433 |
Journal | Journal of cleaner production |
Volume | 472 |
Number of pages | 17 |
ISSN | 0959-6526 |
DOIs | |
Publication status | Published - 2024 |
Bibliographical note
Please note Corrigendum: https://doi.org/10.1016/j.jclepro.2024.143728Keywords
- Dynamic modelling
- Residence time distribution
- Syngas biomethanation
- Tank in series
- Trickle bed reactor
- Variable liquid volume