Documents disponibles écrits par cet auteur

Industrial hydrogen production and CO2 management / Alireza Behroozsarand in Journal of natural gas science and engineering, Vol. 2 N° 4 (Septembre 2010) 

Public ISBD [article]  in Journal of natural gas science and engineering > Vol. 2 N° 4 (Septembre 2010) . - pp. 192–196 Titre : Industrial hydrogen production and CO2 management Type de document : texte imprimé Auteurs : Alireza Behroozsarand, Auteur ; Akbar Zamaniyan, Auteur ; Hadi Ebrahimi, Auteur Année de publication : 2012 Article en page(s) : pp. 192–196 Note générale : Génie Chimique Langues : Anglais (eng) Mots-clés : Natural  gas  CO2  Reformer  Methanator  Shift  converter  Amine  unit Résumé : Natural gas and hydrocarbons obtained from several refinery units are good source of hydrogen. A well known process of hydrogen production in the refinery is simulated here with versatile analysis of unfavorable carbon dioxide (CO2) produced besides hydrogen. A new method for removing the CO2 is presented after the complete simulation. The results show that a unit such as syngas could be added to the process for managing CO2. ISSN : 1875-5100 En ligne : http://www.sciencedirect.com/science/article/pii/S1875510010000491 [article] Industrial hydrogen production and CO2 management [texte imprimé] / Alireza Behroozsarand, Auteur ; Akbar Zamaniyan, Auteur ; Hadi Ebrahimi, Auteur . - 2012 . - pp. 192–196. Génie Chimique Langues : Anglais (eng) in Journal of natural gas science and engineering > Vol. 2 N° 4 (Septembre 2010) . - pp. 192–196 Mots-clés : Natural  gas  CO2  Reformer  Methanator  Shift  converter  Amine  unit Résumé : Natural gas and hydrocarbons obtained from several refinery units are good source of hydrogen. A well known process of hydrogen production in the refinery is simulated here with versatile analysis of unfavorable carbon dioxide (CO2) produced besides hydrogen. A new method for removing the CO2 is presented after the complete simulation. The results show that a unit such as syngas could be added to the process for managing CO2. ISSN : 1875-5100 En ligne : http://www.sciencedirect.com/science/article/pii/S1875510010000491

Modeling and simulation of large scale hydrogen production / Akbar Zamaniyan in Journal of natural gas science and engineering, Vol. 2 N° 6 (Décembre 2010) 

Public ISBD [article]  in Journal of natural gas science and engineering > Vol. 2 N° 6 (Décembre 2010) . - pp. 293–301 Titre : Modeling and simulation of large scale hydrogen production Type de document : texte imprimé Auteurs : Akbar Zamaniyan, Auteur ; Alireza Behroozsarand, Auteur ; Hadi Ebrahimi, Auteur Année de publication : 2012 Article en page(s) : pp. 293–301 Note générale : Génie Chimique Langues : Anglais (eng) Mots-clés : Large  scale  Mathematical  modeling  Reformer  Shift  converter  Methanator Résumé : There are many large scale hydrogen production units worldwide. Pure hydrogen is produced for many applications including hydrocracking processes. A comprehensive simulation of an industrial hydrogen production unit is presented with state of the art models. First, all sub-units including reformer reactor, shift converters, and methanator reactor are mathematically modeled and the amine package is simulated by using the HYSYS process simulator; then the effect of some important parameters (reformer feed pressure and temperature, steam to carbon ratio, and carbon dioxide to methane ratio) on hydrogen yield is investigated. Results show that by increasing reformer feed pressure, steam to carbon ratio, and carbon dioxide to methane ratio while decreasing reformer feed temperature, the mole fraction of hydrogen is decreased in the reformer, high temperature water gas shift reactor, low temperature water gas shift reactor, and methanator. ISSN : 1875-5100 En ligne : http://www.sciencedirect.com/science/article/pii/S1875510010000764 [article] Modeling and simulation of large scale hydrogen production [texte imprimé] / Akbar Zamaniyan, Auteur ; Alireza Behroozsarand, Auteur ; Hadi Ebrahimi, Auteur . - 2012 . - pp. 293–301. Génie Chimique Langues : Anglais (eng) in Journal of natural gas science and engineering > Vol. 2 N° 6 (Décembre 2010) . - pp. 293–301 Mots-clés : Large  scale  Mathematical  modeling  Reformer  Shift  converter  Methanator Résumé : There are many large scale hydrogen production units worldwide. Pure hydrogen is produced for many applications including hydrocracking processes. A comprehensive simulation of an industrial hydrogen production unit is presented with state of the art models. First, all sub-units including reformer reactor, shift converters, and methanator reactor are mathematically modeled and the amine package is simulated by using the HYSYS process simulator; then the effect of some important parameters (reformer feed pressure and temperature, steam to carbon ratio, and carbon dioxide to methane ratio) on hydrogen yield is investigated. Results show that by increasing reformer feed pressure, steam to carbon ratio, and carbon dioxide to methane ratio while decreasing reformer feed temperature, the mole fraction of hydrogen is decreased in the reformer, high temperature water gas shift reactor, low temperature water gas shift reactor, and methanator. ISSN : 1875-5100 En ligne : http://www.sciencedirect.com/science/article/pii/S1875510010000764

Multiobjective optimization of industrial autothermal reformer for syngas production using nonsorting genetic algorithm II / Alireza Behroozsarand in Industrial & engineering chemistry research, Vol. 48 N° 16 (Août 2009) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 48 N° 16 (Août 2009) . - pp. 7529–7539 Titre : Multiobjective optimization of industrial autothermal reformer for syngas production using nonsorting genetic algorithm II Type de document : texte imprimé Auteurs : Alireza Behroozsarand, Auteur ; Hadi Ebrahimi, Auteur ; Akbar Zamaniyan, Auteur Année de publication : 2009 Article en page(s) : pp. 7529–7539 Note générale : Chemical engineering Langues : Anglais (eng) Mots-clés : Noncatalytic  partial  oxidation  Catalytic  steam  reformer  Syngas  production Résumé : The multiobjective optimization of an industrial autothermal reformer consisting of a noncatalytic partial oxidation (POX) chamber and a two-section catalytic steam reformer was studied in order to produce syngas with H2/CO ratio near 1 for application in Fischer−Tropsch and oxo processes. Both thermodynamic modeling of the POX section and mathematical modeling of fixed beds were used for the optimization of the process for maximizing of methane conversion and CO selectivity and minimizing of CO2 makeup flow. The nonsorting genetic algorithm II was employed for the optimization problem. The adjustable parameters are feed temperature, O2/CH4 ratio, steam to methane (S/C) ratio, and the first and second catalytic bed lengths of the reforming part. The optimized case proposes a syngas product with H2/CO of 1 by a feed including O2/CH4 and S/C of 0.59 and 2.012, respectively. The optimized lengths of two catalytic beds are 1.79 m for the first bed and 5.51 m for the second. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie900259n [article] Multiobjective optimization of industrial autothermal reformer for syngas production using nonsorting genetic algorithm II [texte imprimé] / Alireza Behroozsarand, Auteur ; Hadi Ebrahimi, Auteur ; Akbar Zamaniyan, Auteur . - 2009 . - pp. 7529–7539. Chemical engineering Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 48 N° 16 (Août 2009) . - pp. 7529–7539 Mots-clés : Noncatalytic  partial  oxidation  Catalytic  steam  reformer  Syngas  production Résumé : The multiobjective optimization of an industrial autothermal reformer consisting of a noncatalytic partial oxidation (POX) chamber and a two-section catalytic steam reformer was studied in order to produce syngas with H2/CO ratio near 1 for application in Fischer−Tropsch and oxo processes. Both thermodynamic modeling of the POX section and mathematical modeling of fixed beds were used for the optimization of the process for maximizing of methane conversion and CO selectivity and minimizing of CO2 makeup flow. The nonsorting genetic algorithm II was employed for the optimization problem. The adjustable parameters are feed temperature, O2/CH4 ratio, steam to methane (S/C) ratio, and the first and second catalytic bed lengths of the reforming part. The optimized case proposes a syngas product with H2/CO of 1 by a feed including O2/CH4 and S/C of 0.59 and 2.012, respectively. The optimized lengths of two catalytic beds are 1.79 m for the first bed and 5.51 m for the second. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie900259n

Optimal control of amine plant using non-dominated sorting genetic algorithm-II / Alireza Behroozsarand in Journal of natural gas science and engineering, Vol. 2 N° 6 (Décembre 2010) 

Public ISBD [article]  in Journal of natural gas science and engineering > Vol. 2 N° 6 (Décembre 2010) . - pp. 284–292 Titre : Optimal control of amine plant using non-dominated sorting genetic algorithm-II Type de document : texte imprimé Auteurs : Alireza Behroozsarand, Auteur ; Sirous Shafiei, Auteur Année de publication : 2012 Article en page(s) : pp. 284–292 Note générale : Génie Chimique Langues : Anglais (eng) Mots-clés : Amine  plant  NSGA-II  PID  controller  Tuning  Pareto  optimal Résumé : Many control problems involve simultaneous optimization of multiple variables that competing with each other (such as Integral of Absolute Error (IAE), Overshoot, Undershoot, Response time, and etc). On the other hand, the control system performs poor in characteristics and even it becomes unstable, if improper values of the controller tuning constants are used. So it becomes necessary to tune the controller parameters to achieve good control performance with the proper choice of tuning constants. An optimal control of Amine Plant is studied in this paper utilizing the multiobjective genetic algorithm concept in conjunction of Proportional–Integral–Derivative (PID) controller. This paper presents the tuning of PID controllers by minimizing two objective functions (Overshoot and IAE) through the Non-Dominated Sorting Genetic Algorithm-II (NSGA-II). Numerical results show that NSGA-II based tuning method has excellent ability in optimal control of Amine Plant. ISSN : 1875-5100 En ligne : http://www.sciencedirect.com/science/article/pii/S1875510010000910 [article] Optimal control of amine plant using non-dominated sorting genetic algorithm-II [texte imprimé] / Alireza Behroozsarand, Auteur ; Sirous Shafiei, Auteur . - 2012 . - pp. 284–292. Génie Chimique Langues : Anglais (eng) in Journal of natural gas science and engineering > Vol. 2 N° 6 (Décembre 2010) . - pp. 284–292 Mots-clés : Amine  plant  NSGA-II  PID  controller  Tuning  Pareto  optimal Résumé : Many control problems involve simultaneous optimization of multiple variables that competing with each other (such as Integral of Absolute Error (IAE), Overshoot, Undershoot, Response time, and etc). On the other hand, the control system performs poor in characteristics and even it becomes unstable, if improper values of the controller tuning constants are used. So it becomes necessary to tune the controller parameters to achieve good control performance with the proper choice of tuning constants. An optimal control of Amine Plant is studied in this paper utilizing the multiobjective genetic algorithm concept in conjunction of Proportional–Integral–Derivative (PID) controller. This paper presents the tuning of PID controllers by minimizing two objective functions (Overshoot and IAE) through the Non-Dominated Sorting Genetic Algorithm-II (NSGA-II). Numerical results show that NSGA-II based tuning method has excellent ability in optimal control of Amine Plant. ISSN : 1875-5100 En ligne : http://www.sciencedirect.com/science/article/pii/S1875510010000910