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Maria Kirgina PhD student

The Development of Intelligent Systems to Create Resource-saving Technologies for Producing Motor Fuels from Hydrocarbons. Maria Kirgina PhD student. M ain O bjective. The main challenge facing the modern oil industry is to improve

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Maria Kirgina PhD student

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  1. The Development of Intelligent Systems to Create Resource-saving Technologies for Producing Motor Fuels from Hydrocarbons Maria Kirgina PhD student

  2. Main Objective The main challenge facing the modern oil industry is to improve the resource efficiency of oil refining and the quality of oil products National Research Tomsk Polytechnic University Institute of Natural Resources Department of Fuel Engineering and Chemical Cybernetics Main objective of the department - creation the theoretical principles of intelligent systems development to improve energy and resource efficiency of oil-refining industrial processes. Maria Kirgina National Research Tomsk Polytechnic University mkirgina@gmail.com http://portal.tpu.ru/SHARED/m/MKIRGINA/eng

  3. Structure of Intelligent Systems Software implemented mathematical models Knowledge about the industrial processes Database from industrial plants Interface User Expert Maria Kirgina National Research Tomsk Polytechnic University mkirgina@gmail.com http://portal.tpu.ru/SHARED/m/MKIRGINA/eng

  4. Stages of Intelligent Systems Creation • Thermodynamic analysis of the chemical reactions; Creation of formalized scheme of chemical transformations; Creation of kinetic model; • Decision of inverse kinetic problem, definition of kinetic parameters such us constants of speeds and activation energy for different marks of catalysts; • Creation of reactor model, including hydrodynamic and heat transfer models and model the catalyst deactivation; Maria Kirgina National Research Tomsk Polytechnic University mkirgina@gmail.com http://portal.tpu.ru/SHARED/m/MKIRGINA/eng

  5. Intelligent Systems Based on kinetic models of multi-component catalytic processes Take into account reactivity of substances, lifetime of the catalyst and non-additivity properties of hydrocarbon mixtures Maria Kirgina National Research Tomsk Polytechnic University mkirgina@gmail.com http://portal.tpu.ru/SHARED/m/MKIRGINA/eng

  6. Intelligent Systems «Activ+C»- intelligent system for forecasting and optimization of fixed-bed and moving-bed catalytic reforming process. «Izomer»- intelligent system for forecasting and optimization of light naphtha isomerization process. «Catalyst control»- intelligent system for platinum catalysts testing. • «Compounding»- intelligent system for calculation of gasoline blending recipes. Maria Kirgina National Research Tomsk Polytechnic University mkirgina@gmail.com http://portal.tpu.ru/SHARED/m/MKIRGINA/eng

  7. IndustrialApplications • Intelligent systems can be used for: • optimization and prediction of processes operating parameters; comparison of different units work efficiency and choosing more suitable variant of process optimization; testing and selection of catalysts; • development of gasoline blending recipes meeting the requirements of ecological standards. Maria Kirgina National Research Tomsk Polytechnic University mkirgina@gmail.com http://portal.tpu.ru/SHARED/m/MKIRGINA/eng

  8. Computer Modeling System «Compounding» • Capabilities: calculation of gasoline streams research and motor octane numbers; calculation knock characteristic of gasoline blend with antiknock and oxygenate additives; developmentofgasolinerecipesmeetingtherequirementsofecologicalstandards; Maria Kirgina National Research Tomsk Polytechnic University mkirgina@gmail.com http://portal.tpu.ru/SHARED/m/MKIRGINA/eng

  9. Calculation The average absolute error doesn't exceed 1 point. Тable. 1 Comparison of calculated and experimental octane numbers

  10. Gasoline Blending Recipes • 95 RON Gasoline • 92 RON Gasoline • 98 RON Gasoline Maria Kirgina National Research Tomsk Polytechnic University mkirgina@gmail.com http://portal.tpu.ru/SHARED/m/MKIRGINA/eng

  11. Conclusion • Advantages of intelligent systems: • Accuracy of calculations and Predictive ability; Take into account the hydrocarbon composition of raw materials, lifetime of the catalyst and non-additivity properties of hydrocarbon mixtures; • Improve resource efficiency by saving expensive components. Maria Kirgina National Research Tomsk Polytechnic University mkirgina@gmail.com http://portal.tpu.ru/SHARED/m/MKIRGINA/eng

  12. Scientific Events and Projects for Collaboration Joint projects of the Russian Foundation for Basic Research (RFBR) and the Austrian Science Foundation (ANF). World Congress on Sustainable Technologies (WCST-2013), London, UK, December 9-12, 2013. The 8th International Chemical Engineering Congress and Exhibition (IChEC 2014), Kish International Convention Center, Kish Island, Iran, February 24-27, 2014. XXI International Conference on Chemical Reactors «CHEMREACTOR-21», Delft University of Technology, Delft, Netherlands, September 22-25, 2014. International Forum on Strategic Technology (IFOST), Chittagong University of Engineering & Technology, Bangladesh, 2014. Maria Kirgina National Research Tomsk Polytechnic University mkirgina@gmail.com http://portal.tpu.ru/SHARED/m/MKIRGINA/eng

  13. Project Team Department of Fuel Engineering and Chemical Cybernetics Maria Kirgina National Research Tomsk Polytechnic University mkirgina@gmail.com http://portal.tpu.ru/SHARED/m/MKIRGINA/eng

  14. Contact Information Maria Kirgina PhD student http://portal.tpu.ru/SHARED/m/MKIRGINA/eng

  15. Thanks for Attention! Maria Kirgina National Research Tomsk Polytechnic University mkirgina@gmail.com http://portal.tpu.ru/SHARED/m/MKIRGINA/eng

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