Simultaneous optimal configuration, design and operation of batch distillation

A methodology for simultaneous determination of optimal batch distillation configuration, design and operation is presented. The configuration design methodology utilizes a mixed integer dynamic optimization (MIDO) formulation approach, where the optimal batch distillation system is obtained automatically, based on its maximum overall profitability for a given separation duty. Using rigorous models, the MIDO problem is solved using a practical stochastic solution approach of genetic algorithm and penalty function. The feasibility of this methodology is demonstrated for both binary and multicomponent separation scenarios. In the binary separation case study, the effect of feed composition for different binary mixtures on the optimal configurations, that is, regular vs. inverted columns, is investigated and discussed. The regular column was found to be more profitable for feeds with a high fraction of the light component, whereas the inverted column is optimal for heavier feeds. The optimality of a particular configuration over another is, however, case study specific, depending on, for example, how easy the mixture is to separate. In the multicomponent separation case study, the results obtained highlight the superiority of the multivessel configuration over the regular and inverted configurations. © 2005 American Institute of Chemical Engineers AIChE J, 2005

[1]  Johann Stichlmair,et al.  Operation of a batch distillation column with a middle vessel: experimental results for the separation of zeotropic and azeotropic mixtures , 2004 .

[2]  W. Marquardt,et al.  Mixed‐logic dynamic optimization applied to batch distillation process design , 2003 .

[3]  Eva Sorensen,et al.  Simultaneous optimal design and operation of multivessel batch distillation , 2003 .

[4]  Kaj-Mikael Björk,et al.  Some convexifications in global optimization of problems containing signomial terms , 2003, Comput. Chem. Eng..

[5]  Leo Liberti,et al.  Convex Envelopes of Monomials of Odd Degree , 2003, J. Glob. Optim..

[6]  Eva Sorensen,et al.  Simultaneous optimal design and operation of multipupose batch distillation columns , 2004 .

[7]  K. H. Low,et al.  Optimal operation of extractive distillation in different batch configurations , 2002 .

[8]  José Luiz de Medeiros,et al.  Optimal programming of ideal and extractive batch distillation: single vessel operations , 2001 .

[9]  Urmila M. Diwekar,et al.  Comparing batch column configurations: Parametric study involving multiple objectives , 2000 .

[10]  Masaru Noda,et al.  Optimal structure of batch distillation column , 1999 .

[11]  Eva Sorensen,et al.  Optimal operation of multivessel batch distillation columns , 1999 .

[12]  Nilay Shah,et al.  On the design of multicomponent batch distillation columns , 1998 .

[13]  Shinji Hasebe,et al.  Simultaneous Separation of Light and Heavy Impurities by a Complex Batch Distillation Column , 1996 .

[14]  Sigurd Skogestad,et al.  Comparison of regular and inverted batch distillation , 1996 .

[15]  Sandro Macchietto,et al.  Simultaneous optimization of design and operation of multicomponent batch distillation column—single and multiple separation duties , 1996 .

[16]  Manfred Morari,et al.  Design and operation of a batch distillation column with a middle vessel , 1995 .

[17]  Manfred Morari,et al.  Batch distillation in a column with a middle vessel , 1994 .

[18]  Sandro Macchietto,et al.  OPTIMAL OPERATION OF MULTICOMPONENT BATCH DISTILLATION - A COMPARATIVE STUDY USING CONVENTIONAL AND UNCONVENTIONAL COLUMNS , 1994 .

[19]  O. A. Iribarren,et al.  Simplified models for binary batch distillation , 1991 .

[20]  Jeffery S. Logsdon,et al.  On the simultaneous optimal design and operation of batch distillation columns , 1990 .

[21]  James M. Douglas,et al.  Conceptual Design of Chemical Processes , 1988 .