4-Scale model for macromolecule conversion over mesoporous and hierarchical alumina catalysts

被引:7
作者
Parkhomchuk, E. V. [1 ,2 ]
Bazaikin, Ya. V. [2 ,3 ,4 ]
Malkovich, E. G. [2 ,3 ]
Lysikov, A. I. [1 ,2 ]
Vorobieva, E. E. [1 ,2 ]
Fedotov, K. V. [5 ]
Kleymenov, A. V. [5 ]
机构
[1] Boreskov Inst Catalysis SB RAS, Novosibirsk, Russia
[2] Novosibirsk State Univ, Novosibirsk, Russia
[3] RAS, SB, Sobolev Inst Math, Novosibirsk, Russia
[4] Univ Hradec Kralove, Fac Sci, Rokitanskeho 62, Hradec Kralove 50003, Czech Republic
[5] Gazprom Neft, St Petersburg 190000, Russia
关键词
Macromolecule conversion; Deactivation modeling; Hierarchical catalyst; Texture;
D O I
10.1016/j.cej.2020.126551
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Mathematical model for macromolecule catalytic conversion in a flow reactor includes four interconnected numerical calculations of different scales for the following phenomena: effect of increasing the concentration of coke grains and their size (nanometers, scale of coke particles) on porosity, tortuosity, and specific area of the catalyst computing percolation graphs of the mesoporous and hierarchically porous catalysts (dozens of nanometers, scale of percolation graph); kinetic patterns for asphaltene conversion and catalyst deactivation in the mesoporous and hierarchically porous pellets (millimeters, catalyst pellet scale); macrokinetic model for reactor operation filled with mesoporous and hierarchically porous pellets (centimeters, reactor scale). Mathematical instruments involves both discrete (Lubachevsky-Stillinger, Dijkstra algorithm) and continuous (Fick's law, kinetic equations) methods. Rate constants for kinetic modeling of the reactor operation were extracted by approximating the experimental points for the conversion of asphaltenes at the conditions close to industrial ones by numerically obtained curves. Striking difference in the texture evolution of mesoporous and hierarchical catalysts, observed by both catalytic experiments and theory, during asphaltene conversion (HDAs) resulted in fast deactivation of the first catalyst while the second one showed a long-term stability. The model is an excellent tool for the targeted design of high-performance hierarchical catalysts and catalytic layers and gives new possibilities in selection of the catalyst preparation ways.
引用
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页数:14
相关论文
共 25 条
[1]   HYDROPROCESSING OF VACUUM RESIDUES - RELATION BETWEEN CATALYST ACTIVITY, DEACTIVATION AND PORE-SIZE DISTRIBUTION [J].
ABSIHALABI, M ;
STANISLAUS, A ;
ALMUGHNI, T ;
KHAN, S ;
QAMRA, A .
FUEL, 1995, 74 (08) :1211-1215
[2]  
AI C, 2013, CHEM ENG J, V231, P420, DOI DOI 10.1016/j.cej.2013.07.035
[3]  
Ancheyta J, 2016, DEACTIVATION OF HEAVY OIL HYDROPROCESSING CATALYSTS: FUNDAMENTALS AND MODELING, P1
[4]   Recent Developments on the Elucidation of Colloidal Aspects of Asphaltenes and Their Relevance to Oilfield Problems [J].
Balestrin, Lia B. S. ;
Loh, Watson .
JOURNAL OF THE BRAZILIAN CHEMICAL SOCIETY, 2020, 31 (02) :230-243
[5]  
Freed D. E., 2007, Asphaltenes, Heavy Oils, and Petroleomics, P279
[6]   Asphaltenes Transport into Catalysts under Hydroprocessing Conditions [J].
Gaulier, Florine ;
Barbier, Jeremie ;
Guichard, Bertrand ;
Levitz, Pierre ;
Espinat, Didier .
ENERGY & FUELS, 2015, 29 (10) :6250-6258
[7]   Asphaltenes diffusion/adsorption through catalyst alumina supports Influence on catalytic activity [J].
Guichard, Bertrand ;
Gaulier, Florine ;
Barbier, Jeremie ;
Corre, Thibaut ;
Bonneau, Jean-Louis ;
Levitz, Pierre ;
Espinat, Didier .
CATALYSIS TODAY, 2018, 305 :49-57
[8]   Synthesis of transportation fuels from biomass: Chemistry, catalysts, and engineering [J].
Huber, George W. ;
Iborra, Sara ;
Corma, Avelino .
CHEMICAL REVIEWS, 2006, 106 (09) :4044-4098
[9]   Two-component model for catalyst deactivation [J].
Malkovich, E. G. ;
Parkhomchuk, E. V. ;
Bazaikin, Ya. V. ;
Lysikov, A. I. .
CHEMICAL ENGINEERING JOURNAL, 2019, 378
[10]  
Nield D. A., 2013, CONVECTION POROUS ME, DOI 10.1007/978-1-4614-5541-7