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Item type:Publication, Non-equilibrium numerical modeling for combustion of LPG within porous media(2019-11-01) ;Wasinarom, Kittipass ;Charoensuk, JarruwatLilavivat, VisarnA numerical model for lean premixed combustion of LPG (70% propane and 30% butane) within a porous inert medium was developed. Experiments were conducted at three different firing rates at the equivalent ratios of 0.4 and 0.6. The model was developed with the thermal non-equilibrium concept between phases and validated with three cases of experimental results. The discussion of model calibration was undertaken by focusing on the effects of the extinction coefficient and convection heat transfer effective area. Comparisons were made of the temperature profile, as well as the peak temperature, with the calculated adiabatic temperature. The model agreed well with experimental results and was robust throughout three firing rates. Moreover, it was found that the two aforementioned thermal parameters had different roles in temperature distribution, which provided insight on flame front location and heat transfer between phases within the porous domain. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Experiment and numerical modeling of stratified downdraft gasification using rice husk and wood pellet(2019-01-01) ;Wasinarom, KittipassCharoensuk, JarruwatStratified downdraft gasification using rice husks and wood pellets was carried out under different air mass flow rates using both experimental and numerical methods. The flame propagation rate was calculated from the temperature profile at different time steps and was used as the prerequisite to calculate the equivalent ratio in modeling the combustion zone. Chemical equilibrium modeling was employed to predict the temperature and composition of the sample in the combustion zone. Finite kinetic modeling was used to simulate the reduction zone. The initial temperature and composition of the reduction zone simulation were obtained from the chemical equilibrium results taken from the combustion zone. The flame propagation speed of the rice husk was found to be around five times greater than wood pellet at the same air flow rate. The peak temperature of both fuels had similar values. For all air mass flow rates, the equilibrium modeling over-estimated the peaks in comparison with the experimental tests. The kinetic model was sensitive to the input temperature at the zone inlet. The predicted temperature in the reduction zone demonstrated high kinetic activity at the top of the zone due to a high gas temperature. The predicted temperature was in agreement with the experimental test results. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Numerical analysis on water activities at catalyst-interfaces in PEM fuel cell with phase change(2011-06-13) ;Suttanarak, Keerasut ;Uthaichana, Kasemsak ;Naksuk, NirutCharoensuk, JarruwatThe analysis on the activities of water inside a low temperature Proton Exchange Membrane (PEM) fuel cell during its operation is set forth in this paper. The simulation model is of two-phase (vapor/liquid), three-dimensional (3-D) covering the transport phenomena such as water source term, electro osmotic drag, water back diffusion as well as the temperature distribution. The serpentine channel design with co-flow feed is considered in this investigation. The gas humidification and other settings are deliberately set so that water condensation can occur. The formulated finite-element based PEM fuel cell model is amenable to numerical techniques, such as direct collocation discretization. The simulation results from the 3-D simulator are presented as a set of various (cut) slices in two-dimensional (2-D) space. The distributions of each term in 3-D at the triple phase boundary (TPB)-the reaction site on the catalyst surface, and at the interface between the gas diffusion layer (GDL) and the flow channel help us to identify areas where water condensation is likely and least likely to occur. The obtained information is useful for improving algorithms in the control and diagnostics software for the PEM fuel cell.
