Browsing by Author "Himrane, N."

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    Application of artificial neural network and kinetic modeling for the prediction of biogas and methane production in anaerobic digestion of several organic wastes
    (Taylor & Francis, 2021) Mougari, Nour El Islam; Largeau, J. F.; Himrane, N.; Hachemi, M.; Tazerout, M.
    In the current study, artificial neural network (ANN) and modified Gompertz equation (MG) were applied to develop integrated based models for the prediction of cumulative biogas and methane yield (CBY and CMY) from anaerobic digestion (AD) of several organic wastes. Volatile solid to total solid ratio (VS/TS), carbon content (C), carbon-to-nitrogen ratio (C/N) and digestion time (DT) were selected as input features for the implementation of ANN approach. Genetic algorithm (GA) was employed in order to optimize the ANN architecture as well as the kinetic parameters of the MG to provide reliable and fast learning for better prediction performance. To evaluate model performances, determination coefficient (R2) and root mean square error (RMSE) were used. Both the approaches performed well in predicting CBY and CMY and showed a good agreement with the experimental data. However, GA-ANN models exhibit smaller deviation and higher predictive accuracy with satisfactory RMSE and R2 of about 0.0045 and 0.9996 for CBY, and 0.0046 and 0.9998 for CMY, compared with GA-MG models. This evinces the effectiveness of the developed approach to forecast CBY and CMY and can be an effective tool for the scale up of anaerobic digestion units and technico-economic studies
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    Simulation of a cavity ventilated by air displacement using the lattice boltzmann method
    (Springer, 2023) Arab, A.; Himrane, N.; Hireche, Z.; Halouane, Y.; Ameziani, D.E.
    This work consists in numerically simulating a double diffusive mixed convection in a cavity ventilated by two diagonally opposed openings in the presence of a porous partition, fixed in the middle of its base and modeled by the Darcy-Brinkman-Forchheimer model. The right-side wall is brought to a constant warm temperature while the other walls are kept adiabatic. The Lattice Boltzmann method with a multiple relaxation time (MRT) is used for the mathematical resolution. The results are illustrated in terms of streamlines, isotherms and isoconcentrations as a function of different control parameters (Reynolds number, Rayleigh number) for a Darcy value Da = 10 - 6 and a height of the porous partition Hp = 0.6. The influence of these parameters on the depollution efficiency was also studied. It has been concluded that the optimal pollution efficiency is obtained at maximum Reynolds values related to the incoming air flow. Also, it was possible to approve the efficiency of the model proposed in this study to evacuate the maximum of heat and pollutants to decrease the ambient temperature as well as the concentration of pollutants. This study aims to provide guidelines to the building constructors in order to obtain a better air quality and ensure a good thermal comfort to the occupants
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    Some insights on unsteady double diffusive natural convection of porous medium in vertical Open-Ended cylinder
    (Springer, 2019) Himrane, N.; Ameziani, D. E.; El Ganaoui, M.; Ragueb, H.
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    Truck tire pyrolysis optimization using the self-produced carbon black as a catalyst
    (2017) Akkouche, N.; Balistrou, Mourad; Hachemi, M.; Himrane, N.; Loubar, K.; Tazerout, M.