Modeling a Flue-Gas Desulfurization Plant with a Fuzzy Methodology to Optimize the SO_2 Absorption Process

摘要

Sulfur oxides are some of the major existing pollutants that directly affect the atmosphere. In combination with particles and air humidity, produce the most detrimental effects attributed to air pollution. The treatment of gas streams containing sulfur dioxide and its subsequent recovery is, therefore, a matter of great importance for the elimination of the environmental burden of their emission into the atmosphere. In this research, a fuzzy model of a flue-gas desulfurization plant is developed with the aim of dealing with two optimizations problems. The first one, is centered in finding the amount of liquid that should be injected into the plant in order to optimize the SO_2 absorption process. The second one, is the development of a tool to help to size the absorption tower (find the right dimension), given the optimum amount of liquid derived from the previous goal. The results obtained, although preliminary, are reliable and useful for chemical engineering plant design.