INVESTIGADORES
MUSSATI Sergio Fabian
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
Reunión:
Conferencia; The International Conference on Continuous Optimization 2010 (ICCOPT 2010); 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 compo-
sition 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.