DEVELOPMENT OF A STATISTICAL MATHEMATICAL MODEL OF THE PROCESSING OF SULFUR-CONTAINING GASES (H2S, SO2)

On the basis of the proposed new principal technological scheme, research work has been carried out to improve the processing of low-concentration sulfur-containing gases and to neutralize atmospheric emissions. At the beginning of this technological process, the reduction of natural gas with water conversion products on the proposed alumocobaltmolybdenum (ACM) catalyst of SO2 was studied to achieve high yield of sulfur and then a method of neutralization of the real gas mixture with chlorinated lime was developed. Initially, the optimal parameters of the process of SO2 reduction with water conversion products of methane on the ACM catalyst were found: temperature 4000C, volume velocity 1000 s-1, ratio of initial reagents 2.1. After SO2 is reduced to sulfur, sulfur and water vapor are separated in condensers and the gas mixture containing H2S and SO2 is absorbed in a chlorinated lime suspension.The optimal parameters of the absorption process were as follows: solid:liquid ratio S:L= 2.5, gas delivery rate 75 ml\min, temperature 500C. As a result, a statistical mathematical model has been created that adequately describes the process in the range of optimal parameters of both technological processes