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Modeling of a Catalytic Cracking in the Gasoline Production Installation with a Fuzzy Environment

Author

Listed:
  • Batyr Orazbayev

    (Department of Systems Analysis and Control, Faculty of Information Technology, L.N. Gumilyov Eurasian National University, Pushkin Street, 11, Nur-Sultan 010000, Kazakhstan)

  • Dinara Kozhakhmetova

    (Department of Systems Analysis and Control, Faculty of Information Technology, L.N. Gumilyov Eurasian National University, Pushkin Street, 11, Nur-Sultan 010000, Kazakhstan)

  • Ryszard Wójtowicz

    (Institute of Thermal and Process Engineering, Division of Industrial Equipment and Fluid Mechanics, Cracow University of Technology, Al. Jana Pawła II 37, 31-864 Cracow, Poland)

  • Janusz Krawczyk

    (Institute of Thermal and Process Engineering, Division of Industrial Equipment and Fluid Mechanics, Cracow University of Technology, Al. Jana Pawła II 37, 31-864 Cracow, Poland)

Abstract

The article offers a systematic approach to the method of developing mathematical models of a chemical-technological system (CTS) in conditions of deficit and fuzziness of initial information using available data of various types. Based on the results of research and processing of the collected quantitative and qualitative information, mathematical models of the reactor are constructed. Formalized and obtained mathematical statements of the control problem for choosing effective modes of operation of technological systems are based on mathematical modeling. Based on the obtained expert information, linguistic variables were described and a database of rules describing the operation of the input parameters of the reactor unit of the catalytic cracking unit was obtained.

Suggested Citation

  • Batyr Orazbayev & Dinara Kozhakhmetova & Ryszard Wójtowicz & Janusz Krawczyk, 2020. "Modeling of a Catalytic Cracking in the Gasoline Production Installation with a Fuzzy Environment," Energies, MDPI, vol. 13(18), pages 1-13, September.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:18:p:4736-:d:412047
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    References listed on IDEAS

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    1. Gul Filiz Tchoketch Kebir & Cherif Larbes & Adrian Ilinca & Thameur Obeidi & Selma Tchoketch Kebir, 2018. "Study of the Intelligent Behavior of a Maximum Photovoltaic Energy Tracking Fuzzy Controller," Energies, MDPI, vol. 11(12), pages 1-20, November.
    2. Sung Won Kim & Chae Eun Yeo & Do Yeon Lee, 2019. "Effect of Fines Content on Fluidity of FCC Catalysts for Stable Operation of Fluid Catalytic Cracking Unit," Energies, MDPI, vol. 12(2), pages 1-10, January.
    3. Bangzhu Zhu, 2012. "A Novel Multiscale Ensemble Carbon Price Prediction Model Integrating Empirical Mode Decomposition, Genetic Algorithm and Artificial Neural Network," Energies, MDPI, vol. 5(2), pages 1-16, February.
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    Cited by:

    1. Tadeusz Dziubak & Leszek Bąkała, 2021. "Computational and Experimental Analysis of Axial Flow Cyclone Used for Intake Air Filtration in Internal Combustion Engines," Energies, MDPI, vol. 14(8), pages 1-28, April.
    2. Danail D. Stratiev & Angel Dimitriev & Dicho Stratiev & Krassimir Atanassov, 2023. "Modeling the Production Process of Fuel Gas, LPG, Propylene, and Polypropylene in a Petroleum Refinery Using Generalized Nets," Mathematics, MDPI, vol. 11(17), pages 1-17, September.
    3. Ryszard Wójtowicz & Paweł Wolak & Agnieszka Wójtowicz-Wróbel, 2020. "Numerical and Experimental Analysis of Flow Pattern, Pressure Drop and Collection Efficiency in a Cyclone with a Square Inlet and Different Dimensions of a Vortex Finder," Energies, MDPI, vol. 14(1), pages 1-20, December.
    4. Batyr Orazbayev & Ainur Zhumadillayeva & Kulman Orazbayeva & Sandugash Iskakova & Balbupe Utenova & Farit Gazizov & Svetlana Ilyashenko & Olga Afanaseva, 2022. "The System of Models and Optimization of Operating Modes of a Catalytic Reforming Unit Using Initial Fuzzy Information," Energies, MDPI, vol. 15(4), pages 1-25, February.

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