Genetic Algorithm Development to Optimize the Operating Conditions for Formaldehyde Production from Methanol Oxidation Reactor

فاقد چكيده فارسي

Formaldehyde is one of the important intermediate materials in the petrochemical industry, which is used in various downstream industries, including resins and glues. One of the most important ways of producing formaldehyde is methanol oxidation using the iron molybdenum catalyst that requires high temperature feed. It also is a very exothermic reaction that causes the catalysts deactivation through the reactor. In this study, the heterogeneous reactor was modeled for production of formaldehyde then the operating conditions optimized for maximum formaldehyde production and yield with genetic algorithms (GA). Increasing the temperature and creating hot spots in the reactor was a major problem in this research. genetic algorithms is a good method to optimize the operating conditions of this reactor and can improve reactor performance and operating costs. The results obtained from the genetic algorithm were compared with industrial data and had a good matches with them. An increase of 1.5% was achieved in the product of productions.