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 in | Chemical engineering science Vol. 197; pp. 420 - 431 |
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Main Authors | , |
Format | Journal Article |
Language | English |
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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. |
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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 |
Author_xml | – sequence: 1 givenname: Moll surname: Glass fullname: Glass, Moll email: moll.glass@avt.rwth-aachen.de – sequence: 2 givenname: Alexander orcidid: 0000-0003-0335-6566 surname: Mitsos fullname: Mitsos, Alexander email: amitsos@alum.mit.edu |
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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 |
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•Regression subject to chemical equilibrium constant leads to wrong parameter values.•Wrong parameter values cause erroneous equilibrium... |
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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 |
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