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A model-based framework assisting the design of vapor-liquid equilibrium experimental plans

Duarte, Belmiro P.M., Atkinson, Anthony C., Granjo, Jose F.O and Oliveira, Nuno M.C (2021) A model-based framework assisting the design of vapor-liquid equilibrium experimental plans. Computers and Chemical Engineering, 145. ISSN 0098-1354

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Identification Number: 10.1016/j.compchemeng.2020.107168

Abstract

In this paper we propose a framework for Model-based Sequential Optimal Design of Experiments to assist experimenters involved in Vapor-Liquid equilibrium characterization studies to systematically construct thermodynamically consistent models. The approach uses an initial continuous optimal design obtained via semidefinite programming, and then iterates between two stages (i) model fitting using the information available; and (ii) identification of the next experiment, so that the information content in data is maximized. The procedure stops when the number of experiments reaches the maximum for the experimental program or the dissimilarity between the parameter estimates during two consecutive iterations is below a given threshold. This methodology is exemplified with the D-optimal design of isobaric experiments, for characterizing binary mixtures using the NRTL and UNIQUAC thermodynamic models for liquid phase. Significant reductions of the confidence regions for the parameters are achieved compared with experimental plans where the observations are uniformly distributed over the domain.

Item Type: Article
Official URL: https://www.journals.elsevier.com/computers-and-ch...
Additional Information: © 2020 Elsevier Ltd
Divisions: Statistics
Subjects: Q Science > QA Mathematics
H Social Sciences > HA Statistics
T Technology > TA Engineering (General). Civil engineering (General)
Date Deposited: 16 Nov 2020 14:06
Last Modified: 20 Aug 2021 02:43
URI: http://eprints.lse.ac.uk/id/eprint/107448

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