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RISS 인기검색어
- 검색키워드
- 저자 : Behnam Khoshandam (검색결과 4 건)
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Mathematical modeling of CO2 removal using carbonation with CaO: The grain model
Behnam Khoshandam,Ramachandran Vasant Kumar,Leila Allahgholi 한국화학공학회 2010 Korean Journal of Chemical Engineering Vol.27 No.3
CaO carbonation with CO2 is potentially a very important reaction for CO2 removal from exhaust gas produced in power plants and other metallurgical plants and for hydrogen production by promoting water gas shift reaction in fossil fuel gasification. A mathematical model based on the grain model was applied for modeling of this reaction. Diffusion of gaseous phase through the product layer and structural change of the grains were considered in the model. The modeling results show that ignoring the reaction kinetics controlling regime in the early stage of the reaction and replacing it with a regime considering both the reaction kinetics and diffusion can generate good simulation results. The frequency factor of the reaction rate equation and the diffusivity of CO2 through the CaCO3 layer were justified to get the best fit at different temperature range from 400 to 750 oC with respect to experimental data in the literature. The mathematical model switches to a pure diffusion controlling regime at final stage of reaction.
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Behnam Khoshandam,Soodabeh Khalili,Mohsen Jahanshahi 한국화학공학회 2016 Korean Journal of Chemical Engineering Vol.33 No.10
Adsorption of pure carbon dioxide and methane was examined on activated carbon prepared from pine cone by chemical activation with H3PO4 to determine the potential for the separation of CO2 from CH4. The prepared adsorbent was characterized by N2 adsorption-desorption, elemental analysis, FTIR, SEM and TEM. The equilibrium adsorption of CO2 and CH4 on AC was determined at 298, 308 and 318 K and pressure range of 1-16 bar. The experimental data of both gases were analyzed using Langmuir and Freundlich models. For CO2, the Langmuir isotherm presented a perfect fit, whereas the isotherm of CH4 was well described by Freundlich model. The selectivity of CO2 over CH4 by AC (CO2 : CH4=50 : 50, 298K, 5 bar), predicted by ideal adsorbed solution theory (IAST) model, was achieved at 1.68. These data demonstrated that pine cone-based AC prepared in this study can be successfully used in separation of CO2 from CH4.
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Hossein Esfandian,Abdolraouf Samadi-Maybodi,Mehdi Parvini,Behnam Khoshandam 한국공업화학회 2016 Journal of Industrial and Engineering Chemistry Vol.35 No.-
In this study, perlite was used as a low-cost source of Si and Al to synthesize the sodalite zeolite viahydrothermal synthesis method. Cu2O nanoparticles (30–60 nm) were coated on a bed of sodalitezeolite. Toward this aim, a series of batch adsorption experiments was carried out and the sorption ofdiazinon from aqueous solutions on acid treated zeolite (ATZ) with dilute H2SO4 solutions and modifiedzeolite by Cu2O nanoparticles (MZ) were also determined. Results showed that Cu2O nanoparticles havea significant effect on the diazinon removal processing from aqueous solution. Maximum adsorptionrates were 98.2% (with 0.2, 20, 6 of adsorbent dose, contact time and pH, respectively, for MZ) and 63.4%(with 0.3, 80, 6 of adsorbent dose, contact time and pH, respectively, for ATZ). Three equations, i.e.,Morris–Weber, Lagergren (pseudo first order) and pseudo second order have been applied to study thekinetics of removal process. The diazinon sorption process was well described by the pseudo secondorder (type 2) kinetic model. The Langmuir, Freundlich, Temkin and Dubnin–Randkovich (D–R) modelswere tested on sorption data to estimate the sorption capacity, intensity and energy. Langmuir (type 1)isotherm provided the best fit to the equilibrium data with maximum adsorption capacity of 61.73 and15.10 mg/g for MZ and ATZ, respectively. The thermodynamic parameters DH, DS and DG wereevaluated. Thermodynamic parameters showed that the sorption of diazinon onto zeolite was feasible,spontaneous and exothermic under studied conditions. Artificial neural network (ANN) model was alsoapplied for modeling of diazinon removal from aqueous solution by ATZ and MZ. There was a goodagreement between the experimental and predicted values with seven neurons in hidden layer.
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Sara Barati,Mohsen Mehdipour Ghazi,Behnam Khoshandam 한국화학공학회 2019 Korean Journal of Chemical Engineering Vol.36 No.1
A three-dimensional model of a HT-PEMFC was simulated using Comsol Multiphysics software. Sensitivity was analyzed by using the three-level Box-Behnken experimental design. The effect of independent variables on the fuel cell performance including air and hydrogen velocity, temperature and amount of phosphoric acid doping level (PAdop) on the membrane was investigated. The results showed that the PAdop is the most important variable. The simulation results showed that with the increasing of the PAdop from 2 to 16, the current density (at a voltage of 0.4 V) increased from 0.3 to 0.9A/cm2, which confirms the importance of the PAdop factor on the fuel cell performance.
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