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The Research of Nano Self-assemble Catalyst Used for Residue HDN

Received: 30 September 2018    Accepted: 29 October 2018    Published: 21 November 2018
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Abstract

The properties and compositions of feedstock have great impact on reaction performances in residue hydrotreating and hydrocracking. The deactivation of residue hydrotreating and hydrocracking catalysts are mainly due to the high content of sulfur and nitrogen in residue. The removal rate of sulfur and nitrogen is an important parameter for the stability and life of catalyst. The primary objective of the present work is to prepare highly efficient denitrification catalyst. According to the mechanism of nano self-assembly, a series of Mo-Ni nano self-assemble catalysts were prepared by the method of forward and reverse micelles. The results shown that refining catalysts with the Mo and Ni ratio of 6:1, the theory loading is 30%, the denitrification rate was 56.2%; While the Mo and Ni ratio of cracking catalyst is 6:1, the theory loading is 25%, the Mo-Ni nano self-assemble catalysts will reach the best performance at the denitrification rate of 58.3%. For further studies grading the high activity of hydrotreating catalyst SS-1 and hydrocracking catalyst SS-2 in a fixed bed microreactor to investigate the denitrification rate with different process by orthogonal experiments. The result shown that when pressure arrived 14MPa, LVSH is 0.2h-1, reaction temperature is 390°C, hydrogen/oil ratio 850:1 is the final investigation result, at this point HDN = 79.20%.

Published in Engineering Mathematics (Volume 2, Issue 2)
DOI 10.11648/j.engmath.20180202.16
Page(s) 89-94
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This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Nano Self-assembly, Hydrotreating, Hydrocracking, Denitrification Rate

References
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[2] Jiating L U, Liu D, Gao H, et al. Research on Numerical Simulation Model of Residual Oil Distribution in Structural-lithologic Reservoir [J]. Special Oil & Gas Reservoirs, 2015.
[3] Jing X U. Characterization of the residual oil distribution in BN oilfield by integrating modeling and numerical simulation[J]. Petroleum Geology & Engineering, 2017.
[4] Yuanyuan Zhu, Quentin M. Ramasse, Michael Brorson, et al. Location of Co and Ni promoter atoms in multi-layer MoS2 nanocrystals for hydrotreating catalysis [J]. Catalysis Today, 2016, 261: 75-81.
[5] Zhang, D. Y. Processing Technology of Sour Crude; Petrochemical Press of China: Beijing, China, 2003; 408.
[6] Jing X, Mao X, Yan J, et al. Preparation of coated nitrogen fertilizer from modified soy sauce residue oil and its influence on maize growth [J]. Journal of South China Agricultural University, 2016.
[7] Esmaeel S A, Gheni S A, Jarullah A T. 5-Lumps kinetic modeling, simulation and optimization for hydrotreating of atmospheric crude oil residue [J]. Applied Petrochemical Research, 2016, 6(2): 117-133.
[8] Ke W. Mediumrterm performance of new residue hydrogenation catalysts [J]. Modern chemical industry, 2004, 24(1):5 3-55.
[9] Zhang Y X, Wu Z R, Wang Z J. Preparation of Mo-Ni-P solution [J]. Petroleum refining and chemical industry, 1981, 12(3): 6~12. Wang.
[10] Wang Z Q, Lu W Z. Raman Spectroscopic study on the impregnation solution of hydrotreating catalyst Mo-Ni-P/H2O[J]. Journal of catalysis, 1983, 4(1): 66~74.
[11] Jiang A R, Zhang Y B, Wang Z H, et al. Preparation of Mo-Ni-P Impregnating Solution and Its Interaction with γ-Al2O3 [J]. Higher School Chemistry Journal, 1992, 13(11): 1340~1344.
[12] Wang X, Clark P, Oyama S T. Synthesis, characterization, and hydrotreating activity of several iron group transition metal phosphides [J]. Journal of Catalysis, 2002, 208: 321-331.
[13] Zhang S G, Wang X, Yang H J, et al. Effect of CA and EDTA Catalytic Performance of Co-Mo-P/TiO2-γ-Al2O3 Selective Hydrodessulfurization Cayalysts [J]. Petroleum Journal (petroleum processing). 2011, 27 (2): 316-321.
[14] Chen W B, Yang Q H, Zhao X Q, et al. Dispersion of the Active Species and Catalytic Properties of Hydrodesulfurization Catalyst [J]. Petroleum Journal (petroleum processing). 2013, 29 (5): 752-756.
[15] Liu X Y. Analysis and characterization of industrial catalyst [M], BeiJing: Hydrocarbon processing Press, 1990: 360.
[16] Shi Z, Zhao S L, Wang D C, et al. Dispersion of the metal active species and hydrogenation activity of the nano self-assemble catalyst [J]. Modern chemical industry. 2015, 35 (3): 101-104.
[17] Vradman L, Landau M V, Kantorovich D, et al. Evaluation of metal oxide phase assembling modeinsal the nanotubular pores of mesostructured silica [J]. Microporous and Mesoporous Materials, 2005, 79(1/2/3): 307-318.
[18] Topsoe H, Ramasse Q M, Brorson M, et al. Visualizing the stoichiometry of industrial-style co-mo-s catalysts with single-atom sensitivity [J]. Angewandte Chemie, 2014, 53(40): 10723–10727.
[19] Topsoe H, S H, JV L, E L, et al. Atomic-scale structure of single-layer MoS2 nanoclusters [J]. Physical Review Letters, 2000, 84(5): 951-954.
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    Shi Zhen, Zhao Shanlin, Li Ping. (2018). The Research of Nano Self-assemble Catalyst Used for Residue HDN. Engineering Mathematics, 2(2), 89-94. https://doi.org/10.11648/j.engmath.20180202.16

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    ACS Style

    Shi Zhen; Zhao Shanlin; Li Ping. The Research of Nano Self-assemble Catalyst Used for Residue HDN. Eng. Math. 2018, 2(2), 89-94. doi: 10.11648/j.engmath.20180202.16

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    AMA Style

    Shi Zhen, Zhao Shanlin, Li Ping. The Research of Nano Self-assemble Catalyst Used for Residue HDN. Eng Math. 2018;2(2):89-94. doi: 10.11648/j.engmath.20180202.16

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  • @article{10.11648/j.engmath.20180202.16,
      author = {Shi Zhen and Zhao Shanlin and Li Ping},
      title = {The Research of Nano Self-assemble Catalyst Used for Residue HDN},
      journal = {Engineering Mathematics},
      volume = {2},
      number = {2},
      pages = {89-94},
      doi = {10.11648/j.engmath.20180202.16},
      url = {https://doi.org/10.11648/j.engmath.20180202.16},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.engmath.20180202.16},
      abstract = {The properties and compositions of feedstock have great impact on reaction performances in residue hydrotreating and hydrocracking. The deactivation of residue hydrotreating and hydrocracking catalysts are mainly due to the high content of sulfur and nitrogen in residue. The removal rate of sulfur and nitrogen is an important parameter for the stability and life of catalyst. The primary objective of the present work is to prepare highly efficient denitrification catalyst. According to the mechanism of nano self-assembly, a series of Mo-Ni nano self-assemble catalysts were prepared by the method of forward and reverse micelles. The results shown that refining catalysts with the Mo and Ni ratio of 6:1, the theory loading is 30%, the denitrification rate was 56.2%; While the Mo and Ni ratio of cracking catalyst is 6:1, the theory loading is 25%, the Mo-Ni nano self-assemble catalysts will reach the best performance at the denitrification rate of 58.3%. For further studies grading the high activity of hydrotreating catalyst SS-1 and hydrocracking catalyst SS-2 in a fixed bed microreactor to investigate the denitrification rate with different process by orthogonal experiments. The result shown that when pressure arrived 14MPa, LVSH is 0.2h-1, reaction temperature is 390°C, hydrogen/oil ratio 850:1 is the final investigation result, at this point HDN = 79.20%.},
     year = {2018}
    }
    

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  • TY  - JOUR
    T1  - The Research of Nano Self-assemble Catalyst Used for Residue HDN
    AU  - Shi Zhen
    AU  - Zhao Shanlin
    AU  - Li Ping
    Y1  - 2018/11/21
    PY  - 2018
    N1  - https://doi.org/10.11648/j.engmath.20180202.16
    DO  - 10.11648/j.engmath.20180202.16
    T2  - Engineering Mathematics
    JF  - Engineering Mathematics
    JO  - Engineering Mathematics
    SP  - 89
    EP  - 94
    PB  - Science Publishing Group
    SN  - 2640-088X
    UR  - https://doi.org/10.11648/j.engmath.20180202.16
    AB  - The properties and compositions of feedstock have great impact on reaction performances in residue hydrotreating and hydrocracking. The deactivation of residue hydrotreating and hydrocracking catalysts are mainly due to the high content of sulfur and nitrogen in residue. The removal rate of sulfur and nitrogen is an important parameter for the stability and life of catalyst. The primary objective of the present work is to prepare highly efficient denitrification catalyst. According to the mechanism of nano self-assembly, a series of Mo-Ni nano self-assemble catalysts were prepared by the method of forward and reverse micelles. The results shown that refining catalysts with the Mo and Ni ratio of 6:1, the theory loading is 30%, the denitrification rate was 56.2%; While the Mo and Ni ratio of cracking catalyst is 6:1, the theory loading is 25%, the Mo-Ni nano self-assemble catalysts will reach the best performance at the denitrification rate of 58.3%. For further studies grading the high activity of hydrotreating catalyst SS-1 and hydrocracking catalyst SS-2 in a fixed bed microreactor to investigate the denitrification rate with different process by orthogonal experiments. The result shown that when pressure arrived 14MPa, LVSH is 0.2h-1, reaction temperature is 390°C, hydrogen/oil ratio 850:1 is the final investigation result, at this point HDN = 79.20%.
    VL  - 2
    IS  - 2
    ER  - 

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Author Information
  • Department of Bioenergy Research, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China

  • Department of Chemical Engineering and Environmental Engineering, College of Chemistry, Fushun, China

  • Department of Chemical Engineering and Environmental Engineering, College of Chemistry, Fushun, China

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