Dienstbier J, Schmölder J, Burlacu R, Liers F, Kaspereit M (2020)
Publication Language: English
Publication Type: Journal article, Original article
Publication year: 2020
Book Volume: 135
Pages Range: 106687
DOI: 10.1016/j.compchemeng.2019.106687
An approach is presented for the optimal design of batch and steady-state recycling (SSR) chromatography. The optimization problem is decomposed into two stages. At the first stage, an efficient formulation as mixed-integer problem (MIP) is applied to obtain optimal fractionation times for chromatograms simulated by the equilibrium model. At the second stage, the optima are evaluated against a parametrized objective function. The chosen combination of model and optimization method provides a computationally very efficient tool. A comprehensive example study demonstrates that batch chromatography achieves the highest productivities at the cost of limited yields, which is optimal only for negligible feed costs. In other instances, the more flexible SSR concept provides larger profits. The results reveal also new optimal operating policies for SSR processes with segmented product fractions and waste streams.
APA:
Dienstbier, J., Schmölder, J., Burlacu, R., Liers, F., & Kaspereit, M. (2020). Global optimization of batch and steady-state recycling chromatography based on the equilibrium model. Computers & Chemical Engineering, 135, 106687. https://dx.doi.org/10.1016/j.compchemeng.2019.106687
MLA:
Dienstbier, Jana, et al. "Global optimization of batch and steady-state recycling chromatography based on the equilibrium model." Computers & Chemical Engineering 135 (2020): 106687.
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