Energy Efficient Distillation Columns Research Articles

Generalized Modular Framework for the Representation and Synthesis of Complex Distillation Column Sequences

In this paper, the complex distillation column sequencing problem for the separation of mixtures into their constituent components is addressed through the Generalized Modular Framework (GMF), based on formal superstructure optimization techniques. The proposed method overcomes structural complexities through the use of systematically composed structural models, incorporating all the feasible sequencing alternatives. The generated sequences are evaluated with respect to their energy efficiency, based on aggregated physical models, generating compact optimization problems while avoiding the use of potentially limiting simplifying assumptions. The synthesis method coupled to a formal mixed integer nonlinear programming (MINLP) solution algorithm was applied to illustrating case studies generating substantial energy savings by finding systematically and validly the most energy-efficient distillation column sequence.

Generalized modular framework for the synthesis of heat integrated distillation column sequences

The synthesis of simple and Heat Integrated distillation column sequences is a challenging problem of high economic importance due to its structural and physical complexities and to its economic impact on chemical industries. In this paper this synthesis problem is addressed through a novel systematic superstructure representation method extending the principles of the Generalized Modular Framework (Papalexandri and Pistikopoulos, 1996. A.I.Ch.E. Journal 42 (4), 1010–1032). The method proposes systematic structural and physical models addressing the problem's inherent complexities, generating considerably compact optimization problems while avoiding the use of simplifying assumptions. The method employed for ternary and quaternary non-azeotropic separations is demonstrated over illustrating case studies obtaining the most energy efficient distillation column sequences and Heat Integration schemes and generating substantial energy savings.