Implement kinetic models
Program the Monod and Haldane kinetic expressions for phenol biodegradation and biomass growth in AquaSim.
Engineering project focused on the numerical modelling of phenol biodegradation, biomass growth and biofilm development using the AquaSim simulation environment.
The project examined phenol biodegradation by Pseudomonas putida using two single-substrate kinetic models and two reactor configurations implemented in AquaSim.
The Monod model and the Haldane model were programmed for a continuous stirred-tank bioreactor with complete mixing and for a biofilm reactor. The Haldane model additionally accounted for substrate inhibition.
Simulation studies were used to examine the influence of mean residence time, initial phenol concentration and gas hold-up on the time required to reach steady state. For the biofilm reactor, biofilm-thickness growth and the substrate-concentration profile across the biofilm were also analysed.
The selected operating conditions were subsequently used to compare three literature-based sets of kinetic parameters corresponding to different Pseudomonas putida strains.
Program the Monod and Haldane kinetic expressions for phenol biodegradation and biomass growth in AquaSim.
Represent both a completely mixed continuous reactor and a reactor containing a growing biofilm.
Analyse the influence of residence time, initial phenol concentration and gas hold-up on reactor behaviour.
Simulate biofilm-thickness growth and examine how substrate concentration changes across the biofilm.
The Monod model predicted faster degradation at increasing substrate concentration, while the Haldane model reproduced the inhibiting effect of high phenol concentration.
Increasing mean residence time generally reduced the time required to reach steady state, with 60 hours selected for the subsequent comparative simulations.
Among the three literature-based parameter sets, Pseudomonas putida Q5 produced the most favourable simulation results in both kinetic models.
Biofilm growth increased process intensity only up to a limiting thickness. Beyond that range, phenol degradation decreased rapidly.
The thesis combined biochemical reaction kinetics, reactor mass balances and numerical simulation to compare suspended-growth and biofilm-based phenol biodegradation systems.
It was my first academic project centred on mathematical process models and simulation-based interpretation of reactor behaviour.