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The Development of Intelligent Systems to Create Resource-saving Technologies
for Producing Motor Fuelsfrom Hydrocarbons
Maria KirginaPhD student
2
Main Objective
The main challenge facing the modern oil industry is to improvethe resource efficiency of oil refining and the quality of oil products
National Research Tomsk Polytechnic UniversityInstitute 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 KirginaNational Research Tomsk Polytechnic University mkirgina@gmail.com http://portal.tpu.ru/SHARED/m/MKIRGINA/eng
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Structure of Intelligent Systems
Software implemented mathematical models
Knowledge about the industrial processes
Database from industrial plants
Interface
User Expert
Maria KirginaNational Research Tomsk Polytechnic University mkirgina@gmail.com http://portal.tpu.ru/SHARED/m/MKIRGINA/eng
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Stages of Intelligent Systems Creation
Maria KirginaNational Research Tomsk Polytechnic University mkirgina@gmail.com http://portal.tpu.ru/SHARED/m/MKIRGINA/eng
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;
5Maria KirginaNational Research Tomsk Polytechnic University mkirgina@gmail.com http://portal.tpu.ru/SHARED/m/MKIRGINA/eng
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
Intelligent Systems
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Intelligent Systems
«Izomer» - intelligent system for forecasting and optimization of light naphtha isomerization process.
«Compounding» - intelligent system for calculation of gasoline blending recipes.
«Activ+C» - intelligent system for forecasting and optimization of fixed-bed and moving-bed catalytic reforming process.
«Catalyst control» - intelligent system for platinum catalysts testing.
Maria KirginaNational Research Tomsk Polytechnic University mkirgina@gmail.com http://portal.tpu.ru/SHARED/m/MKIRGINA/eng
7Maria KirginaNational Research Tomsk Polytechnic University mkirgina@gmail.com http://portal.tpu.ru/SHARED/m/MKIRGINA/eng
Industrial Applications
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:
8Maria KirginaNational Research Tomsk Polytechnic University mkirgina@gmail.com http://portal.tpu.ru/SHARED/m/MKIRGINA/eng
Computer Modeling System «Compounding»
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;
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The average absolute error doesn't exceed 1 point.
Octane number МОN calc. RОN exp. RОN calc. ∆ RОN
Reformate №1 82,3 94,5 94 0,5
Reformate №2 84,8 96 95,5 0,5
Alkylate 86,2 93,3 93,1 0,2
Isomerizate №1 85,9 86,7 87,7 1
Isomerizate №2 72,8 75,5 74,6 0,9Catalytic cracking gasoline 75,8 86 85,5 0,5
Gas fractionation plant gasoline 73,5 82,8 83,2 0,4
Тable. 1 Comparison of calculated and experimental octane numbers
Calculation
10Maria KirginaNational Research Tomsk Polytechnic University mkirgina@gmail.com http://portal.tpu.ru/SHARED/m/MKIRGINA/eng
Gasoline Blending Recipes
19%
35%
25%
13% 8%
52%
40%
4% 4%
18%
30%22%
15%15%
Reformate Isomerizate Alkylate n-butane MTBE
92 RON Gasoline 95 RON Gasoline
98 RON Gasoline
11Maria KirginaNational Research Tomsk Polytechnic University mkirgina@gmail.com http://portal.tpu.ru/SHARED/m/MKIRGINA/eng
Conclusion
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.
12Maria KirginaNational Research Tomsk Polytechnic University mkirgina@gmail.com http://portal.tpu.ru/SHARED/m/MKIRGINA/eng
Scientific Events and Projects for Collaboration
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, 2013.
3. The 8th International Chemical Engineering Congress and Exhibition (IChEC 2014), Kish International Convention Center, Kish Island, Iran, February 24-27, 2014.
4. XXI International Conference on Chemical Reactors «CHEMREACTOR-21», Delft University of Technology, Delft, Netherlands, September 22-25, 2014.
5. International Forum on Strategic Technology (IFOST), Chittagong University of Engineering & Technology, Bangladesh, 2014.
13Maria KirginaNational Research Tomsk Polytechnic University mkirgina@gmail.com http://portal.tpu.ru/SHARED/m/MKIRGINA/eng
Project TeamDepartment of Fuel Engineering and Chemical Cybernetics
Member of the team Major research interests E-mail
Ivanchina Emiliaprofessor, PhD
mathematical modeling andoptimization of oil-refining
industrial processes
ied@tpu.ru
Ivashkina Elenaassociate professor, PhD
petrochemical processes ivashkinaen@tpu.ru
Sharova Ekaterinaassociate professor, PhD
fixed-bed catalytic reforming process sharova@sibmail.com
Chekantsev Nikitaassociate professor, PhD
light naphtha isomerization process domik86nik@mail.ru
Frantsina Evgenia, PhD diesel fuels production processes evf@tpu.ru
Gyngazova Maria, PhD moving-bed catalytic reforming process maria.gyngazova@gmail.com
Kirgina Maria, PhD student high-octane gasoline blending processes mkirgina@gmail.com
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Contact Information
634050, Russia, Tomsk, Lenin Avenue, 30Tel.: +73822563443, +79138099117
e-mail: mkirgina@gmail.com
Maria KirginaPhD student
http://portal.tpu.ru/SHARED/m/MKIRGINA/eng
Thanks forAttention!
Maria KirginaNational Research Tomsk Polytechnic University mkirgina@gmail.com http://portal.tpu.ru/SHARED/m/MKIRGINA/eng
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