Browsing by Author "Saouli, Ouacil"
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Item Aspenplus Based Simulation For Waste Heat Recovery In Cement Industries(Oum-El-Bouaghi University, 2019) Redjeb, Youcef; Djerrafi-kaabeche, Khatima; Saouli, OuacilCement manufacturing is a highly energy intensive process, which resulting a large loss of energy at the level of the different plants, in other way the loss of energy in the form of heat is very significantly at the level of the cooler. This work focus on direct waste heat recovery, where tertiary air was recovered to the preheater, for this study a process model of the preheater, the kiln, and the cooler is developed, using Aspen Plus simulation software, and the model is verified against measured data from industry. This paper presents the influence of the recovery of the waste heat and the natural gas feed on the clinker production and the energy consumption. Results show that the recovery of the tertiary air make the clinker production rise by about 30% and the energy consumption reduced by about 20%. The variation of the flow input value of the natural gas resulted in a positive relationship between natural gas flow and clinker production, and an inverse relationship between the natural gas feed and energy consumption. In the other hand the increase of the natural gas flow resulting an augmentation in the clinker production, and the reverse results for the consumption of energy.Item Numerical Simulation Of Co 2 Transport Through Hollow Fiber Membrane: Effect Of Chemical Solvent(Oum-El-Bouaghi University, 2019) Belkhiri, Naziha; Saouli, Ouacil; Djerafi, KhatimaIn this study , a two-dimensional mathematical model is proposed to describe the transport of CO2 through HFMC with chemical reaction in the liquid phase .Numerical method of finite volume was used to solve the equation obtained for the three sections of the membrane contactor with the appropriate boundary conditions , The liquid solvents considered for this study include aqueous solution of Monoethanolamine (MEA) and water with a thin layer of the enzyme carbonic anhydrase (CA) .The modeling predictions indicated removal of CO2 using enzyme (CA) is more efficient than using MEA.