Open AccessDecomposition method for real-time optimization problems in multilevel chemical process systems based on identification of compromise sets
Author(s) -
S. D. Faruntsev
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1441/1/012058
Subject(s) - decomposition , process (computing) , optimization problem , computer science , identification (biology) , process optimization , dimension (graph theory) , process control , chemical process , mathematical optimization , compromise , algorithm , mathematics , engineering , chemistry , botany , organic chemistry , chemical engineering , environmental engineering , pure mathematics , biology , operating system , social science , sociology
Solving real-time optimization problem for multilevel chemical process systems (MCPS) is associated with the challenge of involving extensive computational resources required for prompt solution of high-dimension nonlinear optimization problems. The article introduces a method for decomposition of online optimization problem in multilevel chemical process systems with collector structure based on identification of compromise sets. The method allows bringing optimization search procedures to higher control levels leaving the tasks of process stabilization in calculated optimum points to the lower level subsystems. The article describes the scope of application for the method illustrated with a sample solution of the problem of online optimization of process unit parameters including the system of carbon black reactors operating in parallel for the common collector.