Multiobjective Methodology Applied in the Gasification of Coals Mixtures for the Analysis of the Synthesis Gas Composition

Abstract

An important aspect in the combustion of coal for purposes of generating clean power is to achieve that this solid fuel is gasified and hereby to capture the residues across different mechanisms and to use the gas of synthesis in the production of energy. Gasification has been widely studied but the amorphous characteristics of solid fuels causes the gasification reactions do not obey a defined order, however has been made possible prosecute kinetics of these reactions and orient products of synthesis gas, according to needs. In this regard, for purposes of power generation the hydrogen production at high rates is a problem of stability of the synthesis gas combustion, therefore their generation in the gasification should be controlled by the generation of methane priority and carbon monoxide. The objective of this work is to provide guidance with a theoretical tool to establish the optimal mix of solid fuels in relation to the gasifying agents to produce a synthesis gas with appropriate levels of hydrogen, for which genetic algorithms are used due to approach a problem nonlinear and multiple variables. The variables that control the generation of products of synthesis gas, corresponds to the amount of steam and oxygen /air relative to fuel flow fed to the gasification reactor. The results show that there may be many possibilities for feeding the gasifier, but there are defined relationships that can control with some limitations the hydrogen production in convenient relationships with carbon monoxide. In the third multiobjetive runEn la tercera corrida del algoritmo multiobjetivo, se tiene la menor cantidad de cenizas y una participación muy alta de los carbones del Cesar en la mezcla. In the third run of the multiobjective algorithm, it has the least amount of ash and a very high share of coal in the mix of Cesar.