Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/77647
Title: Methodology Based on the Theory of Information to Describe the Representation Ability of the DMC + Alkane Behavior
Authors: Sosa Marco, Adriel 
Ortega Saavedra, Juan 
Fernández Suárez, Luis Jesús 
Haarmann, Niklas
Sadowski, Gabriele
UNESCO Clasification: 330303 Procesos químicos
3303 ingeniería y tecnología químicas
Issue Date: 2021
Journal: Industrial And Engineering Chemistry Research
Abstract: An information theory-based methodology has been applied to the multiproperty modeling of solution properties. Under this framework, a practical application on a set of binary solutions formed by dimethyl carbonate and six even saturated hydrocarbons (from C6 to C16) is carried out. A dense experimental database is generated composed of volumetric and energetic properties (from mixing processes), and phase equilibria, in order to disambiguate some discrepancies showed by the literature data, mainly for the binary with dodecane. The experimental information is modeled with a semiempirical equation for gE, and with the PCP-SAFT equation of state, which presents a solid theoretical basis. The optimal parameterizations are sought using the precision-complexity binomial whose aim is to increase the validity range of the set of parameters obtained. The Akaike Information Criterion is used to search the best parameterizations, that is, the appropriate number of parameters (complexity) and their best values (precision). With regard to the suitability of the precision-complexity methodology on the models tested, the following is concluded: with PCP-SAFT, precise and reliable estimates are obtained; for the gE model, the proposed approach is essential to control the number of free parameters and to preserve the stable numerical behavior in a wide range of conditions.
URI: http://hdl.handle.net/10553/77647
ISSN: 0888-5885
DOI: 10.1021/acs.iecr.0c05301
Source: Industrial and Engineering Chemistry Research[ISSN 0888-5885], (Enero 2021)
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