Optimisation of Pressure-Swing Distillation of a Maximum-Azeotropic Mixture with the Feed Composition between the Azeotropes

Hégely, László and Karaman, Ömer Faruk and Láng, Péter (2022) Optimisation of Pressure-Swing Distillation of a Maximum-Azeotropic Mixture with the Feed Composition between the Azeotropes. In: 25th Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction, 2022. szeptember 5-8., Bol, Horvátország.

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Abstract

Separation of a maximum-boiling azeotropic mixture water(A)-ethylenediamine(B) by pressure-swing distillation (PSD) is studied by simulation and optimisation. Since the composition of the feed is between the azeotropic ones at the two column pressures, it can be introduced either into the high-pressure (HPC) or the low-pressure column (LPC), leading to two sequences: HPC-LPC and LPC-HPC. Total annual cost (TAC) of both sequences without and with Heat Integration (HI) is minimised by a genetic algorithm (GA). Surrogate model-based optimisation (SMBO) is applied to reduce the computational intensity of the optimisation by calculating TAC with simple models fitted to simulation results obtained by Latin hypercube sampling (LHS). Environmental impact of the processes is evaluated by their CO2 emission. LPC-HPC sequence is slightly more favourable than the HPC-LPC one both economically and environmentally whether HI is applied or not. By HI, TAC is reduced by ca. 30 %, while the CO2 emission by ca. 40 %. The TAC obtained by SMBO is lower than by GA in one case, and it is always within 5 % of it. Although the TAC calculated by SMBO is not, or only slightly lower than the lowest one obtained by LHS, the surrogate models fitted without HI can be used to optimise the heat integrated process without additional simulations.

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