Modeling and scale up of airlift bioreactor

Axial Distribution of Oxygen Concentration in Different Airlift Bioreactor Scales: Mathematical Modeling and Simulation

“…(2,4,7,8,(11)(12)(13)(14)), these equations with their initial and boundary conditions (see Eqs. (15-21)) are solved simultaneously using the AVW software package.…”

“…Therefore, the assumption of complete mixing is not justified and the mathematical models for the airlift bioreactors (ALBRs) can not be described by either the perfect mixing (PM) or the plug flow (PF) models. Therefore, there are two models usually used for modeling and simulation of ALBR, these are the Axial Dispersion Model (ADM), which contains only one parameter (the axial dispersion coefficient) characterizing the deviations from ideal flow, and the Tanks-in-Series Model (TSM) [2][3][4][5]. Published papers [4][5][6][7] are helpful in establishing the physical model for oxygen concentration distribution in ALR.…”

CO2 Biomitigation and Biofuel Production Using Microalgae: Photobioreactors Developments and Future Directions

“…These bioreactors are extensively investigated for fermentation process and wastewater treatment (Znad et al 2004, Znad et al 2006) but have not been looked at as a replacement for the popular tubular photo-bioreactors until recent times (Sánchez Mirón et al, 2000). The airlift photo-bioreactor characterized by; high mass transfer, good mixing with low shear stress, low energy consumption, high potentials for scalability, easy to sterilize, readily tempered, good for immobilization of algae, reduced photo-inhibition.…”

Experimental study and mathematical modeling of the residence time distribution in magnetic mixer

“…Response curves from the RTD experiment may be treated as the quantitative description of the mixing system. For the tracer input method the RTD (or exit age-distribution) function, E(t), may be related to the outler tracer concentration, c(t), by the following function of time: (17) Taking into account the RTD function (Eq. (17)), statistical parameters such as the mean residence time, t m , and the variance σ 2 can be determined experimentally by using the following relationships:…”

“…The interpretation of RTD measurements may be realized by using compartmental models which are composed of the branches containing the elementary ideal reactors connecting all together by the nodes. The application of a mixing model (combination of a plug fl ow reactor (PRF) and a continuous stirred tank reactor (CSTR) with circulation fl ow) to study of RTD measurements is widely presented in the relevant literature [14][15][16][17] . From the experimental point of view, the non-ideal fl ow in the reactor may be estimated by means of the stimulus-response technique.…”