KINETIC PARAMETERS DETERMINATION OF FCC GASOLINE HYDROTREATING USING GENETIC ALGORITHMS
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| Format: | Artículo científico |
| Language: | en |
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ECOPETROL S.A.
2013
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| _version_ | 1876461611656413184 |
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| author | Carlos-Mauricio Celis-Cornejo |
| author_facet | Carlos-Mauricio Celis-Cornejo |
| contents | KINETIC PARAMETERS DETERMINATION OF FCC GASOLINE HYDROTREATING USING GENETIC ALGORITHMS Carlos-Mauricio Celis-Cornejo Gustavo-Alberto Granados-Zarta Carlos-Eduardo Bravo-Villarreal David de Jesús Pérez-Martínez Sonia-A. Giraldo-Duarte Ingeniería CoMo Al 2 O 3 catalyst Hydrodesulfurization Olefins hydrogenation Stochastic optimization T he kinetics parameters for the simultaneous reactions of hydrodesulfurization and hydrogenation of synthetic Fluid Catalytic Cracking (FCC) naphtha over CoMo / g - Al 2 O 3 catalyst were determined. The proposed kinetic model considered a Langmuir-Hinshelwood adsorption mechanism (with 16 steps) with just one kind of active site. The amount of experimental data obtained was relatively limited, thus a genetic algorithm accompanied by an optimization through the Nelder-Mead Simplex method were used for the parameter estimations. Trimethylpentenes and 2-methylthiophene were used as representative molecules of unsaturated and sulfur compounds in FCC naphtha respectively. It was possible to calculate kinetic and thermochemical parameters, such as activation energies, adsorption heats and frequency factors with a good enough approach. This methodology results very useful since it allows the parameters determination with accuracy, reducing the amount of experimentation in comparison with traditional methodologies. 2013 artículo científico 0122-5383 https://www.redalyc.org/articulo.oa?id=46530513005 en http://www.redalyc.org/revista.oa?id=465 CT&F Ciencia, Tecnología y Futuro application/pdf ECOPETROL S.A. CT&F Ciencia, Tecnología y Futuro (Colombia) Num.3 Vol.5 |
| format | Artículo científico |
| id | redalyc_46530513005 |
| institution | Redalyc |
| language | en |
| publishDate | 2013 |
| publisher | ECOPETROL S.A. |
| spellingShingle | KINETIC PARAMETERS DETERMINATION OF FCC GASOLINE HYDROTREATING USING GENETIC ALGORITHMS Carlos-Mauricio Celis-Cornejo Ingeniería CoMo Al 2 O 3 catalyst Hydrodesulfurization Olefins hydrogenation Stochastic optimization KINETIC PARAMETERS DETERMINATION OF FCC GASOLINE HYDROTREATING USING GENETIC ALGORITHMS Carlos-Mauricio Celis-Cornejo Gustavo-Alberto Granados-Zarta Carlos-Eduardo Bravo-Villarreal David de Jesús Pérez-Martínez Sonia-A. Giraldo-Duarte Ingeniería CoMo Al 2 O 3 catalyst Hydrodesulfurization Olefins hydrogenation Stochastic optimization T he kinetics parameters for the simultaneous reactions of hydrodesulfurization and hydrogenation of synthetic Fluid Catalytic Cracking (FCC) naphtha over CoMo / g - Al 2 O 3 catalyst were determined. The proposed kinetic model considered a Langmuir-Hinshelwood adsorption mechanism (with 16 steps) with just one kind of active site. The amount of experimental data obtained was relatively limited, thus a genetic algorithm accompanied by an optimization through the Nelder-Mead Simplex method were used for the parameter estimations. Trimethylpentenes and 2-methylthiophene were used as representative molecules of unsaturated and sulfur compounds in FCC naphtha respectively. It was possible to calculate kinetic and thermochemical parameters, such as activation energies, adsorption heats and frequency factors with a good enough approach. This methodology results very useful since it allows the parameters determination with accuracy, reducing the amount of experimentation in comparison with traditional methodologies. 2013 artículo científico 0122-5383 https://www.redalyc.org/articulo.oa?id=46530513005 en http://www.redalyc.org/revista.oa?id=465 CT&F Ciencia, Tecnología y Futuro application/pdf ECOPETROL S.A. CT&F Ciencia, Tecnología y Futuro (Colombia) Num.3 Vol.5 |
| title | KINETIC PARAMETERS DETERMINATION OF FCC GASOLINE HYDROTREATING USING GENETIC ALGORITHMS |
| topic | Ingeniería CoMo Al 2 O 3 catalyst Hydrodesulfurization Olefins hydrogenation Stochastic optimization |
| url | https://www.redalyc.org/articulo.oa?id=46530513005 |