Hybrid Semi‐parametric Modeling in Separation Processes: A Review
Abstract: Separations of mixtures play a critical role in chemical industries. Over the last century, the knowledge in the area of chemical thermodynamics and modeling of separation processes has been substantially expanded. Since the models are still not completely accurate, hybrid models can be used as an alternative that allows to retain existing knowledge and augment it using data. This paper explores some of the weaknesses in the current knowledge in separations design, simulation, optimization, and operation, and presents many examples where data‐driven and hybrid models have been used to facilitate these tasks.
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
Hybrid Semi‐parametric Modeling in Separation Processes: A Review ; volume:92 ; number:7 ; year:2020 ; pages:842-855 ; extent:14
Chemie - Ingenieur - Technik ; 92, Heft 7 (2020), 842-855 (gesamt 14)
- Creator
- DOI
-
10.1002/cite.202000025
- URN
-
urn:nbn:de:101:1-2022070509143401963486
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
- 15.08.2025, 7:33 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- McBride, Kevin
- Sanchez Medina, Edgar Ivan
- Sundmacher, Kai
Other Objects (12)
Hybrid semi-parametric modeling in separation processes : a review
Comparison of parametric and semi-parametric binary response models
Semi-parametric models for satisfaction with income
Specification testing in semi-parametric transformation models
Optimal discrimination designs for semi-parametric models
Modelling biochemical networks with intrinsic time delays: a hybrid semi-parametric approach
Outliers in semi-parametric estimation of treatment effects
Dynamic semi-parametric factor model for functional expectiles
Outliers in semi-parametric estimation of treatment effects
Time-Dependent in Semi-Parametric Modelsof Unemployment Duration
Semi-parametric efficient policy learning with continuous actions
A semi-parametric hourly space-time weather generator
Hybrid semi-parametric modeling in separation processes : a review
Comparison of parametric and semi-parametric binary response models
Semi-parametric models for satisfaction with income
Specification testing in semi-parametric transformation models
Optimal discrimination designs for semi-parametric models
Modelling biochemical networks with intrinsic time delays: a hybrid semi-parametric approach
Outliers in semi-parametric estimation of treatment effects
Dynamic semi-parametric factor model for functional expectiles
Outliers in semi-parametric estimation of treatment effects
Time-Dependent in Semi-Parametric Modelsof Unemployment Duration
Semi-parametric efficient policy learning with continuous actions
A semi-parametric hourly space-time weather generator
Hybrid semi-parametric modeling in separation processes : a review
Comparison of parametric and semi-parametric binary response models
Semi-parametric models for satisfaction with income
Specification testing in semi-parametric transformation models
Optimal discrimination designs for semi-parametric models
Modelling biochemical networks with intrinsic time delays: a hybrid semi-parametric approach
Outliers in semi-parametric estimation of treatment effects
Dynamic semi-parametric factor model for functional expectiles
Outliers in semi-parametric estimation of treatment effects
Time-Dependent in Semi-Parametric Modelsof Unemployment Duration
Semi-parametric efficient policy learning with continuous actions