INVESTIGADORES
ESPINOSA Hector Jose Maria
artículos
Título:
Optimal Thermodynamic Approximation to Reversible Distillation by Means of Interheaters and Intercoolers
Autor/es:
AGUIRRE, PÍO; ESPINOSA, JOSÉ; TARIFA, ENRIQUE; SCENNA, NICOLÁS
Revista:
INDUSTRIAL & ENGINEERING CHEMICAL RESEARCH
Editorial:
AMER CHEMICAL SOC
Referencias:
Año: 1997 vol. 36 p. 4882 - 4893
ISSN:
0888-5885
Resumen:
The purpose of this paper is to deal with the problem of heat and power integration on one side
and the problem of minimizing heat exchange areas on the other side, in both conventional and
nonconventional distillation columns. We consider the limiting case of columns operating at
minimum reflux. The appropriate objective functions that one must consider are the entropy
production rate and the total heat exchange area, respectively. This is done by means of optimal
placement of a given number of interheaters (IHs) and intercoolers (ICs) in stripping and
rectifying sections, respectively. To solve these problems, an appropriate thermodynamic model
for both conventional and nonconventional distillative columns is formally presented. This model
allows us to formulate an optimization problem involving thermodynamically reversible profiles
in stripping and rectifying sections of the columns. Our approach differs from others previously
reported in that multiple reversible profiles were identified for each section of the column which
give rise to lower and upper bounds for the objective function of the minimization problem. In
other words, we obtain two solutions for each column section: the first is a nonoptimal feasible
one, and the second is an optimal but not necessarily feasible one. Finally, the comparison of
our approach with a method based on pseudobinary reversible profiles is carried out. Optimizing
with this curve, solutions will be generated with objective function values between our lower
and upper bounds. Therefore, care would be taken in using a pseudobinary pinch point curve
for the placement of intermediate heat-exchanger units especially when the difference between
our upper and lower bounds for the objective function values is relatively great.