Multi-scale Modeling Approach for Design and Optimization of Oleochemical Processes

Mark Nicholas Jones; Hector Alexander Forero-Hernandez; Bent Sarup; Gürkan Sin

doi:10.1016/B978-0-444-63965-3.50316-0

Multi-scale Modeling Approach for Design and Optimization of Oleochemical Processes

Mark Nicholas Jones, Hector Alexander Forero-Hernandez, Bent Sarup, Gürkan Sin

Department of Chemical and Biochemical Engineering

Alfa Laval

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

The primary goal of this work is to present a systematic methodology and software frameworkfor a multi-level approach ranging from process synthesis and modeling throughproperty prediction, to sensitivity analysis, property parameter tuning and optimization.This framework is applied to the following selected oleochemical processes: vegetableoil splitting, fatty acid fractionation and glycerol purification. The framework includesthe prediction of physical and thermodynamic properties and the uncertainties of the estimatedvalues coupled with the process model represented by mass and energy balances.The effects of these uncertainties are assessed with sensitivity analysis. Standardized regressioncoefficients (SRC) are evaluated and Sobol analysis is performed to study thecounter-current spray splitting column and rank each model parameter. The informationobtained is used for the tuning of property models, optimization of process flowsheets andanalysis of the overall process by multi-criteria sustainability and economics analysis.

Original language	English
Title of host publication	Proceedings of the 27th European Symposium on Computer Aided Process Engineering (ESCAPE 27)
Editors	Antonio Espuña, Moisès Graells, Luis Puigjaner
Volume	40
Publisher	Elsevier
Publication date	2017
Edition	1
Pages	1885-1890
ISBN (Print)	9780444639653
ISBN (Electronic)	9780444639707
DOIs	https://doi.org/10.1016/B978-0-444-63965-3.50316-0
Publication status	Published - 2017
Event	27th European Symposium on Computer Aided Process Engineering - Barcelona, Spain Duration: 1 Oct 2017 → 5 Oct 2017 Conference number: 27 https://www.elsevier.com/books/27th-european-symposium-on-computer-aided-process-engineering/espuna/978-0-444-63965-3

Conference

Conference	27th European Symposium on Computer Aided Process Engineering
Number	27
Country/Territory	Spain
City	Barcelona
Period	01/10/2017 → 05/10/2017
Internet address	https://www.elsevier.com/books/27th-european-symposium-on-computer-aided-process-engineering/espuna/978-0-444-63965-3

Keywords

Vegetable Oils
Triglycerides
Hydrolysis
Fatty Acids
Sensitivity Analysis

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10.1016/B978-0-444-63965-3.50316-0

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Jones, M. N., Forero-Hernandez, H. A., Sarup, B., & Sin, G. (2017). Multi-scale Modeling Approach for Design and Optimization of Oleochemical Processes. In A. Espuña, M. Graells, & L. Puigjaner (Eds.), Proceedings of the 27th European Symposium on Computer Aided Process Engineering (ESCAPE 27) (1 ed., Vol. 40, pp. 1885-1890). Elsevier. https://doi.org/10.1016/B978-0-444-63965-3.50316-0

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Jones, MN, Forero-Hernandez, HA, Sarup, B & Sin, G 2017, Multi-scale Modeling Approach for Design and Optimization of Oleochemical Processes. in A Espuña, M Graells & L Puigjaner (eds), Proceedings of the 27th European Symposium on Computer Aided Process Engineering (ESCAPE 27). 1 edn, vol. 40, Elsevier, pp. 1885-1890, 27th European Symposium on Computer Aided Process Engineering, Barcelona, Spain, 01/10/2017. https://doi.org/10.1016/B978-0-444-63965-3.50316-0

Multi-scale Modeling Approach for Design and Optimization of Oleochemical Processes. / Jones, Mark Nicholas; Forero-Hernandez, Hector Alexander; Sarup, Bent et al.
Proceedings of the 27th European Symposium on Computer Aided Process Engineering (ESCAPE 27). ed. / Antonio Espuña; Moisès Graells; Luis Puigjaner. Vol. 40 1. ed. Elsevier, 2017. p. 1885-1890.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

TY - GEN

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AB - The primary goal of this work is to present a systematic methodology and software frameworkfor a multi-level approach ranging from process synthesis and modeling throughproperty prediction, to sensitivity analysis, property parameter tuning and optimization.This framework is applied to the following selected oleochemical processes: vegetableoil splitting, fatty acid fractionation and glycerol purification. The framework includesthe prediction of physical and thermodynamic properties and the uncertainties of the estimatedvalues coupled with the process model represented by mass and energy balances.The effects of these uncertainties are assessed with sensitivity analysis. Standardized regressioncoefficients (SRC) are evaluated and Sobol analysis is performed to study thecounter-current spray splitting column and rank each model parameter. The informationobtained is used for the tuning of property models, optimization of process flowsheets andanalysis of the overall process by multi-criteria sustainability and economics analysis.

KW - Vegetable Oils

KW - Triglycerides

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KW - Fatty Acids

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ER -

Multi-scale Modeling Approach for Design and Optimization of Oleochemical Processes

Abstract

Conference

Keywords

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