A novel approach for infeasible path optimization of distillation-based flowsheets

Seidel, Tobias; Hoffmann, Anna; Bortz, Michael; Scherrer, Alexander; Burger, Jakob; Asprion, Norbert; Küfer, Karl‐Heinz; Hasse, Hans

doi:10.1016/j.cesx.2020.100063

Cited by 2 publications

(4 citation statements)

References 34 publications

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“…for mixer M1: F + ΣD = F* (6) for column K1: F* = D 1 + W 1 (7) To calculate the material balance of the flowsheet (to determine the amounts and compositions of all material flows), it is necessary to select and set free variables [12]. The number of variables depends on the number of material flows.…”

Section: N-butanol + Water + Toluene Ternary Systemmentioning

confidence: 99%

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The Material Balance of Complex Separation Flowsheets

Frolkova,

Sibirtsev

et al. 2024

Processes

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The paper shows the expediency of supplementing the balance simplex method by calculating the number of free variables of separation flowsheets containing recycle flows. The need to determine and set the free variables that provide lower energy consumption when calculating the material balance of flowsheets with recycling is justified. The problem of material balance multivariance is illustrated, and ways to solve it are shown with the example of separation flowsheets for two ternary mixtures: n-butanol + water + toluene and n-butanol + butyl acetate + water. Separation flowsheets containing three distillation columns and a liquid–liquid separator are proposed for both systems. The dependence of the recycle flow values and the energy consumption of distillation columns and separation flowsheets on the selection and setting of values of free variables in solving the balance problem is shown. The dependence of energy consumption on the composition of the original mixture is studied for an n-butanol + butyl acetate + water system. Recommendations for setting free variables for flowsheets of the separation of ternary mixtures with three binary (and one ternary) azeotropes are formulated. The technique of highlighting the region of separation flowsheet operability is illustrated. The column operating parameters that ensure the production of products of a given quality with minimal energy consumption are determined. It is shown that with the incorrect selection and setting of variables (during balance task solvation), the energy consumption for mixture separation can be overestimated by more than 40%.

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Section: N-butanol + Water + Toluene Ternary Systemmentioning

confidence: 99%

“…Optimization, as will be shown in the present paper, is also possible at the stage of solving the balance task. And it Is connected to the choice of such a solution, for which the minimum values of recycling flows will be observed and the energy consumption will eventually be minimal [6].…”

Section: Introductionmentioning

confidence: 99%

The Material Balance of Complex Separation Flowsheets

Frolkova,

Sibirtsev

et al. 2024

Processes

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“…To overcome these difficulties we follow in this work an approach described recently Seidel et al 2020. The idea is to not select all but a subset of the process variables as optimization variables.…”

Section: Introductionmentioning

confidence: 99%

“…Hoffmann et al 2017 presented a routine for a conventional distillation column. By Seidel et al 2020 this was extended to the interconnection of multiple distillation columns. The goal of this paper is to develop a method for simple and multiple dividing wall columns.…”

Section: Introductionmentioning

confidence: 99%

Simultaneous simulation and optimization of multiple dividing wall columns

Seidel

Ränger

Grützner

et al. 2021

Preprint

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In this work we present a new approach that we use to simulate and optimize multiple dividing wall columns at the same time. Instead of considering all model equations as constraints and all process variables as optimization variables in a large and highly nonlinear optimization problem we only incorporate a subset of the model equations as constraints and a subset of the process variables as optimization variables. The remaining process variables are calculated from this subset by a robust and fast calculation procedure. This calculation procedure also ensures that the remaining model equations are satisfied. A comparison with the commercial process simulator Aspen Plus shows that with the new approach multiple dividing wall columns can be optimized more stable and better solutions are found. Moreover the time needed to find an optimal design decreases significantly.

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A novel approach for infeasible path optimization of distillation-based flowsheets

Cited by 2 publications

References 34 publications

The Material Balance of Complex Separation Flowsheets

The Material Balance of Complex Separation Flowsheets

Simultaneous simulation and optimization of multiple dividing wall columns

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