OPTIMIZATION WITH GENETIC ALGORITHMS OF A GAS TURBINE CYCLE WITH H2-SEPARATING MEMBRANE REACTOR FOR CO_2 CAPTURE

摘要

A gas turbine power process with CO2 capture through precombustion decarbonization, which employs a H2-separating membrane reactor is presented. Optimization with the process thermal efficiency as objective function is made through the use of genetic algorithms. The use of genetic algorithms enabled a division of the optimization parameters into two groups; one group where the values are at their optimum at the limit of the investigated parameter range, and one group where there actually is an optimum within the investigated range. It was found that the process has a severe efficiency penalty caused by the use of heat from hydrogen combustion for the reforming process. The process is a zero CO2 emission power process and also NOX emissions should be low, due to the inherent mixing of hydrogen with steam.