Hégely, László and Szűcs, Márton Tamás and Karaman, Ömer Faruk and Láng, Péter (2022) Optimisation of a Batch Distillation Process by Applying Surrogate Models. In: The 12th International Conference Distillation & Absorption 2022, 2022. szeptember 18-21., Toulouse, Franciaország.
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Abstract
A surrogate model-based method is proposed for the optimisation of batch distillation processes and applied to the recovery of methanol from a five-component azeotropic waste solvent mixture, where pollutants are removed in two fore-cuts and an after-cut. The objective function is the profit of a single batch, while constraints are given on the purity of the main cut and composition of the second fore-cut. Simulations are performed by a flow-sheet simulator in a set of points (generated by Latin hypercube sampling) in the space of optimisation variables (reflux ratios of steps, stopping criteria of the fore-cuts). Algebraic surrogate models are fitted by ALAMO to the simulation results to describe the objective function and the constraints. The resulting optimisation problem is solved numerically. The profit obtained is 5 % higher than the one previously obtained by a genetic algorithm, while the number of simulations is reduced to its third.
| Item Type: | Conference or Workshop Item (Lecture) |
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| Uncontrolled Keywords: | Batch Distillation, Simulation, Optimisation, Surrogate Model, Waste Solvent |
| Subjects: | T Technology / alkalmazott, műszaki tudományok > TJ Mechanical engineering and machinery / gépészmérnöki tudományok T Technology / alkalmazott, műszaki tudományok > TP Chemical technology / vegyipar, vegyészeti technológia |
| Depositing User: | Dr László Hégely |
| Date Deposited: | 28 Sep 2022 07:26 |
| Last Modified: | 31 Dec 2023 00:16 |
| URI: | http://real.mtak.hu/id/eprint/150196 |
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