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Process-driven solvent screening for efficient extractive distillation using interpolative rational functions
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DOI：10.1016/j.ces.2024.120675.png)
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摘要
En 中文
When designing extractive distillation processes, using selectivity and capacity at infinite dilution alone is hard to identify the real optimal solvent with minimal process cost. To overcome this problem, a new process-driven solvent screening approach is developed. As simple and reliable surrogate models, rational functions (algebraic fractions such that the numerator and the denominator are polynomials) and multivariate polynomials (a subset of rational functions) are trained to interpolate vapor-liquid equilibria with thermodynamic consistency. The surrogate models can directly be embedded into superstructure-based extractive distillation process design to obtain optimal solutions within a few seconds. This enables to evaluate the real process performance of numerous solvents efficiently. Incorporating the accelerated process design strategy, a multi-level solvent screening framework is proposed and exemplified for the separation of a close-boiling mixture ethylbenzene/styrene. The solvent C2H2Br4 ultimately enables a cost reduction of 27.9 % compared to the industrially used benchmark solvent sulfolane.
Keyword:
Solvent screening
Extractive distillation
Surrogate modeling
Vapor-liquid equilibrium
Ethylbenzene/styrene separation
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期刊
IF:
4.3
论文数:
2.3W
被引数:
5.5W
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