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

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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