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Fermentation 2018, 4(3), 72; https://doi.org/10.3390/fermentation4030072

Computing the Composition of Ethanol-Water Mixtures Based on Experimental Density and Temperature Measurements

Department of Chemical and Petroleum Engineering, University of Kansas, Lawrence, KS 66045, USA
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Received: 24 July 2018 / Revised: 15 August 2018 / Accepted: 24 August 2018 / Published: 27 August 2018
(This article belongs to the Special Issue Bioprocess and Fermentation Monitoring)
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Abstract

Two correlations were developed to calculate the composition of binary ethanol-water solutions from experimental temperature and density inputs. The first correlation is based on a Redlich-Kister (R-K) expansion and computes mixture composition within an average accuracy of ±0.45 wt.%. The R-K model is a non-linear function of composition and therefore requires the use of an iterative solving tool. A polynomial correlation was additionally developed which utilizes a direct solving method, and computes ethanol composition over a range of 0–100 wt.% [283.15–313.15 K] with an accuracy better than ±0.37 wt.%. The polynomial model is particularly advantageous as it can be tailored to specific composition ranges for increased accuracy. Both correlations are intended to provide a method for monitoring ethanol concentration within a chemical process in real time without off-line sample analysis, allowing for precise in-situ system control and optimization. View Full-Text
Keywords: ethanol; alcohol; water; composition; density; correlation; regression; prediction ethanol; alcohol; water; composition; density; correlation; regression; prediction
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Danahy, B.B.; Minnick, D.L.; Shiflett, M.B. Computing the Composition of Ethanol-Water Mixtures Based on Experimental Density and Temperature Measurements. Fermentation 2018, 4, 72.

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