Use of an interval global optimization tool for exploring feasibility of batch extractive distillation

Frits, Erika R.; Markót, Mihály Csaba; Lelkes, Z.; Fonyó, Z.; Csendes, Tibor; Rév, Endre

doi:10.1007/s10898-006-9111-3

Cited by 3 publications

(3 citation statements)

References 7 publications

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“…Mujtaba (1999) formulated an optimal control problem to achieve maximum productivity in minimum time under purity constraints, and decomposed the multiperiod problem into independent single-period problems. Lelkes et al (2003c) used the DICOPT++ solver of GAMS while Frits et al (2007) used an interval method for that purpose. Hegely andLang (2014, 2016) used a genetic algorithm to optimize the process by taking into account as off-cut or entrainer recycle in addition to usual operating parameters and task durations.…”

Section: Solving Strategiesmentioning

confidence: 99%

Review of extractive distillation. Process design, operation, optimization and control

Gerbaud

Rodríguez-Donis

Hégely

et al. 2019

Chemical Engineering Research and Design

190

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Operation and control Extractive distillation processes enable the separation of non-ideal mixtures, including minimum or maximum boiling azeotropes and low relative volatility mixtures. Unlike azeotropic distillation, the entrainer fed at another location than the main mixture induces an extractive section within the column. A general feasibility criterion shows that intermediate and light entrainers and heterogeneous entrainers are suitable along common heavy entrainers. Entrainer selection rules rely upon selectivity ratios and residue curve map (rcm) topology including univolatility curves. For each type of entrainer, we define extractive separation classes that summarize feasibility regions, achievable products and entrainer-feed flow rate ratio limits. Case studies are listed as Supplementary materials. Depending on the separation class, a direct or an indirect split column configuration will allow to obtain a distillate product or a bottom product, which is usually a saddle point of rcm. Batch and continuous process operations differ mainly by the feasible ranges for the entrainer-feed flow rate ratio and reflux ratio. The batch process is feasible under total reflux and can orient the still path by changing the reflux policy. Optimisation of the extractive process must systematically consider the extractive column along with the entrainer regeneration column that requires energy and may limit the product purity in the extractive column through recycle. For the sake of reducing the energy cost and the total cost, pressure change can be beneficial as it affects volatility, or new process structures can be devised, namely heat integrated extractive distillation, extractive divided wall column or processes with preconcentrator.

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Section: Solving Strategiesmentioning

confidence: 99%

Review of extractive distillation. Process design, operation, optimization and control

Gerbaud

Rodríguez-Donis

Hégely

et al. 2019

Chemical Engineering Research and Design

190

View full text Add to dashboard Cite

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“…Other optimization variables can be taken into account, such as the heat duty to the boiler, the plate and tank holdup values, the recycling flows, , the column configuration (rectifier, stripper, middle vessel, extractive), − and the operating conditions . For batch extractive distillation, the entrainer flow rate and the task at which the entrainer is fed should also be considered. ,− …”

Section: Background On Batch Distillation Optimizationmentioning

confidence: 99%

“…40 For batch extractive distillation, the entrainer flow rate and the task at which the entrainer is fed should also be considered. 38,[41][42][43] Most optimization variables are time dependent, conferring to the problem an infinite dimension. To transform it into a finite size problem, discretization techniques with respect to time can be used.…”

Section: Formulation Of a Batch Distillation Optimizationmentioning

confidence: 99%

Optimization of Heterogeneous Batch Extractive Distillation

Barreto

Rodríguez-Donis

Gerbaud

et al. 2011

Ind. Eng. Chem. Res.

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Heterogeneous extractive batch distillation of the chloroform -methanol minimum boiling temperature azeotropic mixture is studied with water as a heterogeneous entrainer. The continuous feeding of water allows recovering 99%molar chloroform after condensation of the saddle binary heteroazeotrope waterchloroform. Unlike a homogeneous process, the reflux composition is different from the heteroazeotrope water -chloroform in the vapor overhead. Besides, the distillate recovery is improved by refluxing a portion α of the chloroform-rich distillate phase along with the water-rich entrainer phase. A genetic algorithm is coupled to a constant molar overflow model to study seven operation policies. Optimization parameters are the entrainer flowrate F E /V, the portion α T3 of distillate-rich phase refluxed to the column during chloroform distillation, the reflux policy R T5 during methanol distillation. The optimization maximizes a profit function, penalized with recovery yields constraints whereas purity targets are used as Task ending events. All optimized solutions achieve higher than 90%molar recovery yields and 99%molar purity for both products chloroform and methanol. Results are confirmed by rigorous simulation showing the good performance of coupling simplified model and genetic algorithm as a first approach. The two piece-wise parameter values operation policies for all three parameters increases profit by 41.8% and reduces total time by 43.8% compared to single value parameter policy. The parameter influence study ranks R T5 first, α T3 second and F E /V last. Keeping F E /V constant and using two piece-wise α T3 and R T5 value operation is recommended to increase profit.

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