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2 The main challenge facing the modern oil industry is to improve the resource efficiency of oil refining and the quality of oil products Main objective.

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Presentation on theme: "2 The main challenge facing the modern oil industry is to improve the resource efficiency of oil refining and the quality of oil products Main objective."— Presentation transcript:

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2 2 The main challenge facing the modern oil industry is to improve the resource efficiency of oil refining and the quality of oil products Main objective of the department 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

3 3 Software implemented mathematical models Knowledge about the industrial processes Database from industrial plants Interface UserExpert Maria Kirgina National Research Tomsk Polytechnic University

4 4 Maria Kirgina National Research Tomsk Polytechnic University Decision of inverse kinetic problem, definition of kinetic parameters such us constants of speeds and activation energy for different marks of catalysts; Creation of kinetic model; Creation of formalized scheme of chemical transformations; Thermodynamic analysis of the chemical reactions; Creation of reactor model, including hydrodynamic and heat transfer models and model the catalyst deactivation;

5 5 Maria Kirgina National Research Tomsk Polytechnic University 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

6 6 «Izomer» «Izomer» - intelligent system for forecasting and optimization of light naphtha isomerization process. «Compounding» «Compounding» - intelligent system for calculation of gasoline blending recipes. «Activ+C» «Activ+C» - intelligent system for forecasting and optimization of fixed-bed and moving-bed catalytic reforming process. «Catalyst control» «Catalyst control» - intelligent system for platinum catalysts testing. Maria Kirgina National Research Tomsk Polytechnic University

7 7 Maria Kirgina National Research Tomsk Polytechnic University development of gasoline blending recipes meeting the requirements of ecological standards. testing and selection of catalysts; comparison of different units work efficiency and choosing more suitable variant of process optimization; optimization and prediction of processes operating parameters; Intelligent systems can be used for:

8 8 Maria Kirgina National Research Tomsk Polytechnic University calculation of gasoline streams research and motor octane numbers; Capabilities: calculation knock characteristic of gasoline blend with antiknock and oxygenate additives; development of gasoline recipes meeting the requirements of ecological standards;

9 9 The average absolute error doesn't exceed 1 point. Octane numberМОN calc. RОN exp. RОN calc. RОN RОN RОN RОN Reformate 1 82,394,5940,5 Reformate 2 84,89695,50,5 Alkylate 86,293,393,10,2 Isomerizate 1 85,986,787,71 Isomerizate 2 72,875,574,60,9 Catalytic cracking gasoline 75,88685,50,5 Gas fractionation plant gasoline 73,582,883,20,4 Тable. 1 Comparison of calculated and experimental octane numbers

10 10 Maria Kirgina National Research Tomsk Polytechnic University 92 RON Gasoline 95 RON Gasoline 98 RON Gasoline

11 11 Maria Kirgina National Research Tomsk Polytechnic University Accuracy of calculations and Predictive ability; Advantages of intelligent systems: 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.

12 12 Maria Kirgina National Research Tomsk Polytechnic University 1. Joint projects of the Russian Foundation for Basic Research (RFBR) and the Austrian Science Foundation (ANF). 2. World Congress on Sustainable Technologies (WCST-2013), London, UK, December 9-12, The 8th International Chemical Engineering Congress and Exhibition (IChEC 2014), Kish International Convention Center, Kish Island, Iran, February 24-27, XXI International Conference on Chemical Reactors «CHEMREACTOR-21», Delft University of Technology, Delft, Netherlands, September 22-25, International Forum on Strategic Technology (IFOST), Chittagong University of Engineering & Technology, Bangladesh, 2014.

13 13 Maria Kirgina National Research Tomsk Polytechnic University Member of the team Major research interests Ivanchina Emilia professor, PhD mathematical modeling and optimization of oil-refining industrial Ivashkina Elena associate professor, PhD petrochemical Sharova Ekaterina associate professor, PhD fixed-bed catalytic reforming Chekantsev Nikita associate professor, PhD light naphtha isomerization Frantsina Evgenia Frantsina Evgenia, PhDdiesel fuels production Gyngazova Maria, Gyngazova Maria, PhDmoving-bed catalytic reforming Kirgina Maria Kirgina Maria, PhD studenthigh-octane gasoline blending processes

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