INGAR   05399
INSTITUTO DE DESARROLLO Y DISEÑO
Unidad Ejecutora - UE
congresos y reuniones científicas
Título:
Optimization of CO2 capture process using an aqueous MEA solution
Autor/es:
PATRICIA L. MORES; NICOLÁS J. SCENNA; SERGIO F. MUSSATI
Lugar:
Santiago
Reunión:
Conferencia; 3rd International Conference on Continuous Optimization; 2010
Resumen:
This paper presents a NLP mathematical model to optimize the operating conditions of the chemical absorption process to CO2 removal using MEA aqueous solution. The optimization design problem is to maximize the CO2 absorption efficiency to reach desired CO2 reduction targets. The entire post-combustion CO2 process is modeled in detail. Temperature, composition and flow-rate profiles of the aqueous solution and gas streams along the absorber and regenerator, condenser and reboiler heat duties for amine regeneration are considered as optimization variables. Dimensions of the absorber and regenerator columns as well as the CO2 composition in flue gas are treated as model parameters. GAMS (General Algebraic Modeling System) and CONOPT are used, respectively, to implement and to solve the resulting mathematical model. The proposed model can not only be used as optimizer but also as a simulator. Detailed discussion of results is presented through different case studies. GAMS (General Algebraic Modeling System) and CONOPT are used, respectively, to implement and to solve the resulting mathematical model. The proposed model can not only be used as optimizer but also as a simulator. Detailed discussion of results is presented through different case studies.