Optimization of a large scale industrial reactor by genetic algorithms

• Published in: Chemical engineering science Vol. 63; no. 2; pp. 330 - 341
• Main Authors: Rezende, Mylene C.A.F., Costa, Caliane B.B., Costa, Aline C., Maciel, M.R. Wolf, Filho, Rubens Maciel
• Format: Journal Article
• Language: English
• Published: Oxford Elsevier Ltd 2008; Elsevier
• Subjects: Applied sciences; Catalysis; Catalytic reactions; Chemical engineering; Chemical reactors; Chemistry; Dynamic simulation; Exact sciences and technology; Factorial design; General and physical chemistry; Non-linear dynamics; Optimization; Reactors; Theory of reactions, general kinetics. Catalysis. Nomenclature, chemical documentation, computer chemistry; Dynamic simulation; Chemical reactors; Factorial design; Optimization; Non-linear dynamics; Dimensionality; Catalytic reaction; Particle suspension; Non linear system; Hydrogenation; Modeling; Composite material; Design; Chemical reactor; Genetic algorithm; Objective function; Dynamic model; Mathematical model; Multivariable system

The present work aims to employ genetic algorithms (GAs) to optimize an industrial chemical process, characterized by being difficult to be optimized by conventional methods. The considered chemical process is the three phase catalytic slurry reactor in which the reaction of the hydrogenation of o-c...