Parameter estimation in reactive systems subject to sufficient criteria for thermodynamic stability

[Display omitted] •Regression subject to chemical equilibrium constant leads to wrong parameter values.•Wrong parameter values cause erroneous equilibrium conversion in process simulation.•We propose bilevel program for regression that leads to correct parameter values.•Illustrative single-phase dim...

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Published inChemical engineering science Vol. 197; pp. 420 - 431
Main Authors Glass, Moll, Mitsos, Alexander
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 06.04.2019
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Abstract [Display omitted] •Regression subject to chemical equilibrium constant leads to wrong parameter values.•Wrong parameter values cause erroneous equilibrium conversion in process simulation.•We propose bilevel program for regression that leads to correct parameter values.•Illustrative single-phase dimerization using Margules and NRTL is considered. For process simulation involving chemical reactions, thermodynamically accurate model parameters for chemical equilibrium are indispensable. We demonstrate that regression subject to the well-known chemical equilibrium constant entails violation of the sufficient conditions for thermodynamic stability. As a consequence, erroneous values of the equilibrium conversion are obtained upon use of the respective parameter values in, e.g., process simulation. In order to alleviate the problem, we propose a methodology for estimating parameters subject to necessary and sufficient criteria for thermodynamic stability. In particular, we propose an extension of Mitsos et al. (2009) to parameter estimation in reactive systems; an upper-level model-experiment mismatch is minimized subject to several lower-level minimization problems (LLP), which ensure the fulfilment of the reactive tangent plane criterion (RTPC) of Smith et al. (1993), along with other desired behavior of the Gibbs free energy. A fictitious single-phase dimerization reaction employing Margules and NRTL as Gibbs free energy models illustrates the thermodynamic guarantees provided by the proposed formulation, when the conventional ones fail. Our formulation conceptually allows any type of phase equilibrium, e.g., VLLE, as well as any type of activity coefficient model. The subproblems of the bilevel algorithm pose challenges to state-of-the-art commercial solvers.
AbstractList [Display omitted] •Regression subject to chemical equilibrium constant leads to wrong parameter values.•Wrong parameter values cause erroneous equilibrium conversion in process simulation.•We propose bilevel program for regression that leads to correct parameter values.•Illustrative single-phase dimerization using Margules and NRTL is considered. For process simulation involving chemical reactions, thermodynamically accurate model parameters for chemical equilibrium are indispensable. We demonstrate that regression subject to the well-known chemical equilibrium constant entails violation of the sufficient conditions for thermodynamic stability. As a consequence, erroneous values of the equilibrium conversion are obtained upon use of the respective parameter values in, e.g., process simulation. In order to alleviate the problem, we propose a methodology for estimating parameters subject to necessary and sufficient criteria for thermodynamic stability. In particular, we propose an extension of Mitsos et al. (2009) to parameter estimation in reactive systems; an upper-level model-experiment mismatch is minimized subject to several lower-level minimization problems (LLP), which ensure the fulfilment of the reactive tangent plane criterion (RTPC) of Smith et al. (1993), along with other desired behavior of the Gibbs free energy. A fictitious single-phase dimerization reaction employing Margules and NRTL as Gibbs free energy models illustrates the thermodynamic guarantees provided by the proposed formulation, when the conventional ones fail. Our formulation conceptually allows any type of phase equilibrium, e.g., VLLE, as well as any type of activity coefficient model. The subproblems of the bilevel algorithm pose challenges to state-of-the-art commercial solvers.
Author Mitsos, Alexander
Glass, Moll
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Keywords Pitzer-Debye-Hückel
(generalized) semi-infinite program
Reactive tangent plane
bilevel program
lower-bounding problem
least-square errors function
(electrolyte) non-random two-liquid
Data regression
Extent-of-reaction
cubic equation of state
lower-level problem
Gibbs free energy
equality constraint
upper bound
lower bound
mathematical program with equilibrium constraints
Karush-Kuhn-Tucker
ionic liquid
(vapor-)liquid-liquid equilibrium
nonlinear program
mixed-integer nonlinear program
(reactive) tangent plane criterion
Chemical equilibrium constant
linear independence constraint qualification
Universal Quasichemical Functional Group Activity Coefficients
Language English
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SSID ssj0007710
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Snippet [Display omitted] •Regression subject to chemical equilibrium constant leads to wrong parameter values.•Wrong parameter values cause erroneous equilibrium...
SourceID crossref
elsevier
SourceType Enrichment Source
Index Database
Publisher
StartPage 420
SubjectTerms (e)NRTL
(electrolyte) non-random two-liquid
(G)SIP
(generalized) semi-infinite program
(R)TPC
(reactive) tangent plane criterion
(V)LLE
(vapor-)liquid-liquid equilibrium
bilevel program
BLP
CEOS
Chemical equilibrium constant
cubic equation of state
Data regression
equality constraint
Extent-of-reaction
Gibbs free energy
ionic liquid
Karush-Kuhn-Tucker
KKT
LBD
LBP
least-square errors function
LICQ
linear independence constraint qualification
LLP
lower bound
lower-bounding problem
lower-level problem
mathematical program with equilibrium constraints
MINLP
mixed-integer nonlinear program
MPEC
NLP
nonlinear program
PDH
Pitzer-Debye-Hückel
Reactive tangent plane
UBD
UNIFAC
Universal Quasichemical Functional Group Activity Coefficients
upper bound
Title Parameter estimation in reactive systems subject to sufficient criteria for thermodynamic stability
URI https://dx.doi.org/10.1016/j.ces.2018.08.035
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