Simulation and evaluation of the performance of various sensor-sensing silicones to detect methane-soluble in fermentation process

At present, spectrometric chromatography are used to methane in the fermentation process, but the use of off-line mass spectrometry requires the sampling and maintenance of the solution. Silicon membrane-based gas sensors are designed and used to detect methane based on this principle. The simulation of this sensor was carried out using COMSOL Multhiphysics (CM) 5.2 A software in 3D. Input gas helium was applied at three values of 40, 50 and 60 ml/min. Also, silicon tubes with lengths of 5, 10 and 15 cm and in three diameters of 0.05, 0.05, and 0.25 cm were investigated. The shortest response time from the sensor simulation is 10% compared to the results of the experimental at 1.6 minutes. The shear stresses, the effect of inlet gas velocity, flow pressure and fluid concentration in this study were compared. All result showed that the silicon membrane-based have been best absorbent for gas specially Methane

Polyhydroxybutyrate Production from Natural Gas in A Bubble Column Bioreactor: Simulation Using COMSOL

In this study, the simulation of microorganism ability for the production of poly-β-hydroxybutyrate (PHB) from natural gas (as a carbon source) was carried out. Based on the Taguchi algorithm, the optimum situations for PHB production from natural gas in the columnar bubble reactor with 30 cm length and 1.5 cm diameter at a temperature of 32 °C was evaluated. So, the volume ratio of air to methane of 50:50 was calculated. The simulation was carried out by COMSOL software with two-dimensional symmetric mode. Mass transfer, momentum, density-time, and density-place were investigated. The maximum production of biomass concentration reached was 1.63 g/L, which shows a 10% difference in contrast to the number of experimental results. Furthermore, the consequence of inlet gas rate on concentration and gas hold up was investigated Andres the simulation results were confirmed to experimental results with less than 20% error