Optimizing the process of oxidative Jftshdn methane (OCM) and the catalyst Prvskayt Mdlsazysyntyky Strjdyd process by genetic algorithms

In the present study kinetics of methane oxidation process coupled Ryzvaknshgr in a fixed bed catalyst using Prvskay، including methane and oxygen with food and with different ratios were investigated. Optimized process conditions، temperature $ 750-785 ^ circ C $، methane to oxygen ratio: two in Dubai and feed gas space velocity ml/Min160min $ ^ {-1} $: 100 was obtained. Kinetic models of the overall review process and the optimal parameters with genetic algorithms، were determined. This paper models of the overall process of Kinetic، six models selected by genetic algorithm fitting with the experimental results obtained in vitro system in different conditions of process analysis and optimization parameters were determined. Among these models، the model accurately Santa higher on the test results have been fitted. Marquardt algorithm، as well as Markvart analysis and comparison with genetic algorithms were used to show the results in the algorithm، unlike genetic algorithms، the possibility of being caught in the trap there is a relative minimum.