Аннотации:
The paper studies the problems of developing interconnected models of aggregates of complex
chemical-technological systems (CTS) in conditions of scarcity and fuzziness of the initial information. Since
the known methods of model development do not allow for solving these problems, we propose a systematic
method that allows the development of a package of models of interconnected aggregates of complex CTS
using the available information of a different nature. In the proposed method, formal and informal methods
of system analysis are jointly used. Due to synergy and emergence, the proposed system allows the synthesis
of the most adequate and effective CTS models using the knowledge, experience, and intuition of experts and
other available data. Using the method, we have developed a package of models of interconnected reactors
and used it in a case study for a reforming reactor and furnace of the Atyrau refinery catalytic reformer based
on available statistical and fuzzy information. To study and optimize the operating modes of the reformer
unit, a system of computer simulation and optimization of the reformer unit was created. Comparison of
the obtained results of computer modeling and optimization with the results of known deterministic models
shows the advantages of the proposed approach in the face of scarcity and fuzziness of the initial information.
The importance and novelty of the proposed method lie in the possibility of developing a package of models
of interrelated CTS units based on various types of available information. This allows one to systematically
simulate and optimize the operating modes of the CTS. The practical significance of the results is that this
case study can be successfully applied in the development of models of various technological units for oil
refining, petrochemistry, and other industries.
