Integration of modular process simulators under the Generalized Disjunctive Programming framework for the structural flowsheet optimization

Abstract The optimization of chemical processes where the flowsheet topology is not kept fixed is a challenging discrete-continuous optimization problem. Usually, this task has been performed through equation based models. This approach presents several problems, as tedious and complicated component properties estimation or the handling of huge problems (with thousands of equations and variables). We propose a GDP approach as an alternative to the MINLP models coupled with a flowsheet program. The novelty of this approach relies on using a commercial modular process simulator where the superstructure is drawn directly on the graphical use interface of the simulator. This methodology takes advantage of modular process simulators (specially tailored numerical methods, reliability, and robustness) and the flexibility of the GDP formulation for the modeling and solution. The optimization tool proposed is successfully applied to the synthesis of a methanol plant where different alternatives are available for the streams, equipment and process conditions.

[1]  Sophia Kluge,et al.  Coal Gasification And Its Applications , 2016 .

[2]  Peter Roosen,et al.  Total process optimization in chemical engineering with evolutionary algorithms , 1998 .

[3]  Nicholas Beaumont,et al.  An algorithm for disjunctive programs , 1990 .

[4]  G. Ghiotti,et al.  Chemical and Physical Properties of Copper-Based Catalysts for CO Shift Reaction and Methanol Synthesis , 1987 .

[5]  Jerzy Skrzypek,et al.  Methanol synthesis : science and engineering , 1994 .

[6]  Lorenz T. Biegler,et al.  Infeasible path optimization with sequential modular simulators , 1982 .

[7]  Ignacio E. Grossmann,et al.  Systematic Methods of Chemical Process Design , 1997 .

[8]  Hanif D. Sherali,et al.  Disjunctive Programming , 2009, Encyclopedia of Optimization.

[9]  I. Grossmann,et al.  Logic-based MINLP algorithms for the optimal synthesis of process networks , 1996 .

[10]  J. Bandoni,et al.  A mixed integer optimization strategy for a large scale chemical plant in operation , 1996 .

[11]  John C. Eslick,et al.  A multi-objective analysis for the retrofit of a pulverized coal power plant with a CO2 capture and compression process , 2011, Comput. Chem. Eng..

[12]  Egon Balas,et al.  programming: Properties of the convex hull of feasible points * , 1998 .

[13]  Grady Booch,et al.  Object-Oriented Analysis and Design with Applications , 1990 .

[14]  I. Grossmann,et al.  Disjunctive Programming Models for the Optimal Design of Distillation Columns and Separation Sequences , 2000 .

[15]  G. P. Rangaiah,et al.  Modeling, Simulation, and Multi-objective Optimization of an Industrial Hydrocracking Unit , 2006 .

[16]  David A. Bell,et al.  Coal Gasification and Its Applications , 2010 .

[17]  Claudia Gutiérrez-Antonio,et al.  Design and optimization, using genetic algorithms, of intensified distillation systems for a class of quaternary mixtures , 2009, Comput. Chem. Eng..

[18]  Ignacio E. Grossmann,et al.  A rigorous disjunctive optimization model for simultaneous flowsheet optimization and heat integration , 1998 .

[19]  Arturo Jiménez-Gutiérrez,et al.  Optimization of Petlyuk sequences using a multi objective genetic algorithm with constraints , 2011, Comput. Chem. Eng..

[20]  I. Grossmann,et al.  A combined penalty function and outer-approximation method for MINLP optimization : applications to distillation column design , 1989 .

[21]  Ignacio E. Grossmann,et al.  Rigorous Design of Distillation Columns: Integration of Disjunctive Programming and Process Simulators , 2005 .

[22]  Jean-Michel Reneaume,et al.  Optimal Process Synthesis in a Modular Simulator Environment: New Formulation of the Mixed-Integer Nonlinear Programming Problem , 1995 .

[23]  Jean-Paul Lange,et al.  Methanol synthesis: a short review of technology improvements , 2001 .

[24]  R. Raman,et al.  Modelling and computational techniques for logic based integer programming , 1994 .

[25]  María Auxilio Osorio Lama,et al.  Mixed Logical-linear Programming , 1999, Discret. Appl. Math..

[26]  E. Balas,et al.  Canonical Cuts on the Unit Hypercube , 1972 .

[27]  Lorenz T. Biegler,et al.  A mixed integer flowsheet optimization strategy for process retrofits—the debottlenecking problem , 1989 .

[28]  Benjamin Engel,et al.  Analysis Synthesis And Design Of Chemical Processes , 2016 .

[29]  I. Grossmann.  Review of Nonlinear Mixed-Integer and Disjunctive Programming Techniques , 2002 .

[30]  David Kendrick,et al.  GAMS, a user's guide , 1988, SGNM.

[31]  Ignacio E. Grossmann,et al.  An outer-approximation algorithm for a class of mixed-integer nonlinear programs , 1987, Math. Program..

[32]  Cristofer Bravo-Bravo,et al.  Extractive Dividing Wall Column: Design and Optimization , 2010 .

[33]  I. Grossmann,et al.  Aggregated Models for Integrated Distillation Systems , 1999 .

[34]  Jose Leboreiro,et al.  Processes synthesis and design of distillation sequences using modular simulators: a genetic algorithm framework , 2004, Comput. Chem. Eng..

[35]  Edward S. Rubin,et al.  An MINLP process synthesizer for a sequential modular simulator , 1992 .

[36]  Michel Gendreau,et al.  Handbook of Metaheuristics , 2010 .

[37]  Robin Smith,et al.  Chemical Process: Design and Integration , 2005 .

[38]  Gonzalo Guillén-Gosálbez,et al.  Minimization of the LCA impact of thermodynamic cycles using a combined simulation-optimization approach , 2012 .

[39]  Ignacio E. Grossmann,et al.  Structural flowsheet optimization with complex investment cost functions , 1998 .

[40]  Mariano Martn Martn.  Introduction to Software for Chemical Engineers , 2014 .

[41]  Mario R. Eden,et al.  Disjunctive-Genetic Programming Approach to Synthesis of Process Networks , 2011 .

[42]  Claudia Gutiérrez-Antonio,et al.  Pareto front of ideal Petlyuk sequences using a multiobjective genetic algorithm with constraints , 2009, Comput. Chem. Eng..

[43]  W. Luyben.  Design and Control of a Methanol Reactor/Column Process , 2010 .

[44]  Ignacio E. Grossmann,et al.  An alternative disjunctive optimization model for heat integration with variable temperatures , 2013, Comput. Chem. Eng..

[45]  Alexandru Woinaroschy,et al.  An interactive multi-objective optimization framework for sustainable design of bioprocesses , 2012, Comput. Chem. Eng..

[46]  椿 範立,et al.  Methanol Synthesis , 2018, Catalyst Handbook.

[47]  I. Grossmann,et al.  New algorithms for nonlinear generalized disjunctive programming , 2000 .

[48]  Claudia Gutiérrez-Antonio,et al.  Optimal design of distillation systems with less than N − 1 columns for a class of four component mixtures , 2012 .