Director: Tatyana V. Lapteva

Phone: +7 (843) 231-41-94

E-mail: systech@kstu.ru, 20LaptevaTV@corp.knrtu.ru

Address: Building "U" - 6 Universitetskaya str., Kazan

The Department was established in 2005 due to the need for specialists with transferable skills in both chemical technology, automation and modern information technologies for system analysis, computer modeling, management and design of optimal chemical and technological systems. Alumnus use best practices and computer technologies to solve complex and non-standard tasks of the chemical, petrochemical and oil and gas processing industries. All this is done to increase the economic and technological efficiency of industrial processes and apparatus systems, reduction in the energy consumption and carbon footprint, and improvement the environmental cleanliness of production.

The Department develops scientific directions of the world-famous scientist and innovator prof. Gennadii M. Ostrovsky in the field of optimal design, optimization and synthesis of complex systems in chemical engineering. The period of Department creation and systems engineering development are associated with the name of prof. Nadir N. Ziyatdinov, who headed the Department from its establishing until 2022. Under the guidance of prof. Nadir N. Ziyatdinov developed new methods and algorithms for analysis, optimal design and modeling of energy and resource saving systems, including distributed heat exchange systems, separation systems of multicomponent mixtures, biological wastewater treatment.

Employees of the Department have more than 20 years of experience in the field of Process System Engineering: many publications in highly rated domestic and foreign journals and many prestigious awards. The staff of the Department are organizers of many prestigious international conferences and scientific schools, including "Computer Aided Process System Engineering (CAPSE)", "American-Russian Chemical Engineering Scientific School (ARChESS)", "Mathematical Methods in Engineering and Technology (MMTT)", "Cyber-Physical Systems Design and Modeling (CYBERPHY)".

The main direction of scientific activity

Theory and methods of automated technological design of optimal chemical-technological processes and systems (analysis, synthesis and optimization). Scientific and production activities:
- Development of digital twins and virtual prototypes of production processes;
- Development of energy efficiency improvement methods and environmental cleanliness of production, integration in industrial systems;
- Development of effective methods of analysis, synthesis and optimization of chemical and technological systems;
- Development of mathematical and software for support management decision-making;
- Neural network modeling of substances, processes and devices properties in chemical engineering;
- Development of control systems at the upper level of the automatic control system of technological process;
- Carrying out design and verification calculations of chemical-technological plants;
- Development of simulators for process operators of hazardous chemical industries.

Areas of study

- Technologies of system design, computer modeling and optimization of complex chemical and technological systems using dedicated packages: Aspen Hysys (Aspen Technology, USA), Unisim (Honeywell, USA), Petro-SIM (Yokogawa, Japan);
- Development technologies of computer and virtual simulators and production processes based on the OmegaLand software package (Yokogawa, Japan) and the CENTUM/ProSafe integrated system;
- Development technologies of software complexes in C++, C#, Python and computer ecosystems;
- Methods of energy and resource saving in the design and reconstruction of manufacturing chains: technologies of pinch analysis, algorithmic synthesis of optimal systems, combined processes, advanced management;
- Technologies for designing and improving automated control systems at different hierarchical levels of industrial management;
- Methods of neural network modeling, artificial intelligence, development of expert systems and fuzzy logic control systems, big data processing;
- Methods of linear, nonlinear, discrete-continuous programming, software tools for their implementation;
- Methods of business planning and implementation of innovations in designing and managing chemical and technological systems.

Software and laboratory support

The Department has a modern laboratory for computer modeling and optimization of chemical processes and systems, equipped with high-performance computers and universal modeling programs Aspen Hysys (Aspen Technology, USA), Unisim (Honeywell, USA), OmegaLand (Yokogawa, Japan).