A hierarchical selection and decision matrix for energy-efficient intensified distillation technologies

Qing Li; Ana Somoza-Tornos; Anton A. Kiss

doi:10.1016/B978-0-443-28824-1.50212-X

A hierarchical selection and decision matrix for energy-efficient intensified distillation technologies

Qing Li, Ana Somoza-Tornos, Anton A. Kiss^*

^*Corresponding author for this work

ChemE/Process Systems Engineering

Research output: Chapter in Book/Conference proceedings/Edited volume › Chapter › Scientific › peer-review

1 Citation (Scopus)

Abstract

Distillation is widely used for separation in chemical industries, but accounts for a half of operational costs and 40% of the energy usage due to its low energy efficiency. Process intensification could effectively enhance the energy efficiency and reduce the energy requirement of the distillation processes by integrating unit operations or functions. However, there is no general methodology that enables to choose the best intensified distillation technologies among all available choices for a given separation task. This study generates a conceptual de-composed selection and decision approach by first identifying the process bottlenecks and intensification targets, and then select the most promising intensified techniques via a selection framework and decision matrix based on the identified bottlenecks and intensification targets. Two separation cases are illustrated to demonstrate the developed methodology, and the outcomes are verified with conceptual designs reported in the literature.

Original language	English
Title of host publication	Proceedings of the 34th European Symposium on Computer Aided Process Engineering
Subtitle of host publication	15th International Symposium on Process Systems Engineering (ESCAPE34/PSE24)
Editors	Flavio Manenti, Gintaras V. Reklaitis
Place of Publication	Amsterdam/Kidlington/Cambridge, MA
Publisher	Elsevier
Pages	1267-1272
Number of pages	6
ISBN (Print)	978-0-443-33897-7, 978-0-443-28824-1
DOIs	https://doi.org/10.1016/B978-0-443-28824-1.50212-X
Publication status	Published - 2024
Event	34th European Symposium on Computer-Aided Process Engineering / 15th International Symposium on Process Systems Engineering - Palazzo dei Congressi - Villa Vittoria, Florence, Italy Duration: 2 Jun 2024 → 6 Jun 2024 https://www.aidic.it/escape34-pse24

Publication series

Name	Computer Aided Chemical Engineering
Publisher	Elsevier
Volume	53
ISSN (Print)	1570-7946

Conference

Conference	34th European Symposium on Computer-Aided Process Engineering / 15th International Symposium on Process Systems Engineering
Abbreviated title	ESCAPE34 - PSE24
Country/Territory	Italy
City	Florence
Period	2/06/24 → 6/06/24
Internet address	https://www.aidic.it/escape34-pse24

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

distillation
energy efficiency
process intensification
process optimization

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/B978-0-443-28824-1.50212-X

Cite this

Li, Q., Somoza-Tornos, A., & Kiss, A. A. (2024). A hierarchical selection and decision matrix for energy-efficient intensified distillation technologies. In F. Manenti, & G. V. Reklaitis (Eds.), Proceedings of the 34th European Symposium on Computer Aided Process Engineering: 15th International Symposium on Process Systems Engineering (ESCAPE34/PSE24) (pp. 1267-1272). (Computer Aided Chemical Engineering; Vol. 53). Elsevier. https://doi.org/10.1016/B978-0-443-28824-1.50212-X

Li, Qing ; Somoza-Tornos, Ana ; Kiss, Anton A. / A hierarchical selection and decision matrix for energy-efficient intensified distillation technologies. Proceedings of the 34th European Symposium on Computer Aided Process Engineering: 15th International Symposium on Process Systems Engineering (ESCAPE34/PSE24). editor / Flavio Manenti ; Gintaras V. Reklaitis. Amsterdam/Kidlington/Cambridge, MA : Elsevier, 2024. pp. 1267-1272 (Computer Aided Chemical Engineering).

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abstract = "Distillation is widely used for separation in chemical industries, but accounts for a half of operational costs and 40% of the energy usage due to its low energy efficiency. Process intensification could effectively enhance the energy efficiency and reduce the energy requirement of the distillation processes by integrating unit operations or functions. However, there is no general methodology that enables to choose the best intensified distillation technologies among all available choices for a given separation task. This study generates a conceptual de-composed selection and decision approach by first identifying the process bottlenecks and intensification targets, and then select the most promising intensified techniques via a selection framework and decision matrix based on the identified bottlenecks and intensification targets. Two separation cases are illustrated to demonstrate the developed methodology, and the outcomes are verified with conceptual designs reported in the literature.",

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author = "Qing Li and Ana Somoza-Tornos and Kiss, {Anton A.}",

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Li, Q , Somoza-Tornos, A & Kiss, AA 2024, A hierarchical selection and decision matrix for energy-efficient intensified distillation technologies. in F Manenti & GV Reklaitis (eds), Proceedings of the 34th European Symposium on Computer Aided Process Engineering: 15th International Symposium on Process Systems Engineering (ESCAPE34/PSE24). Computer Aided Chemical Engineering, vol. 53, Elsevier, Amsterdam/Kidlington/Cambridge, MA, pp. 1267-1272, 34th European Symposium on Computer-Aided Process Engineering / 15th International Symposium on Process Systems Engineering, Florence, Italy, 2/06/24. https://doi.org/10.1016/B978-0-443-28824-1.50212-X

A hierarchical selection and decision matrix for energy-efficient intensified distillation technologies. / Li, Qing ; Somoza-Tornos, Ana ; Kiss, Anton A.
Proceedings of the 34th European Symposium on Computer Aided Process Engineering: 15th International Symposium on Process Systems Engineering (ESCAPE34/PSE24). ed. / Flavio Manenti; Gintaras V. Reklaitis. Amsterdam/Kidlington/Cambridge, MA: Elsevier, 2024. p. 1267-1272 (Computer Aided Chemical Engineering; Vol. 53).

Research output: Chapter in Book/Conference proceedings/Edited volume › Chapter › Scientific › peer-review

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T1 - A hierarchical selection and decision matrix for energy-efficient intensified distillation technologies

AU - Li, Qing

AU - Somoza-Tornos, Ana

AU - Kiss, Anton A.

N1 - Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

PY - 2024

Y1 - 2024

N2 - Distillation is widely used for separation in chemical industries, but accounts for a half of operational costs and 40% of the energy usage due to its low energy efficiency. Process intensification could effectively enhance the energy efficiency and reduce the energy requirement of the distillation processes by integrating unit operations or functions. However, there is no general methodology that enables to choose the best intensified distillation technologies among all available choices for a given separation task. This study generates a conceptual de-composed selection and decision approach by first identifying the process bottlenecks and intensification targets, and then select the most promising intensified techniques via a selection framework and decision matrix based on the identified bottlenecks and intensification targets. Two separation cases are illustrated to demonstrate the developed methodology, and the outcomes are verified with conceptual designs reported in the literature.

AB - Distillation is widely used for separation in chemical industries, but accounts for a half of operational costs and 40% of the energy usage due to its low energy efficiency. Process intensification could effectively enhance the energy efficiency and reduce the energy requirement of the distillation processes by integrating unit operations or functions. However, there is no general methodology that enables to choose the best intensified distillation technologies among all available choices for a given separation task. This study generates a conceptual de-composed selection and decision approach by first identifying the process bottlenecks and intensification targets, and then select the most promising intensified techniques via a selection framework and decision matrix based on the identified bottlenecks and intensification targets. Two separation cases are illustrated to demonstrate the developed methodology, and the outcomes are verified with conceptual designs reported in the literature.

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KW - process optimization

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T2 - 34th European Symposium on Computer-Aided Process Engineering / 15th International Symposium on Process Systems Engineering

Y2 - 2 June 2024 through 6 June 2024

ER -

Li Q , Somoza-Tornos A , Kiss AA. A hierarchical selection and decision matrix for energy-efficient intensified distillation technologies. In Manenti F, Reklaitis GV, editors, Proceedings of the 34th European Symposium on Computer Aided Process Engineering: 15th International Symposium on Process Systems Engineering (ESCAPE34/PSE24). Amsterdam/Kidlington/Cambridge, MA: Elsevier. 2024. p. 1267-1272. (Computer Aided Chemical Engineering). doi: 10.1016/B978-0-443-28824-1.50212-X

A hierarchical selection and decision matrix for energy-efficient intensified distillation technologies

Abstract

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Conference

Bibliographical note

Keywords

UN SDGs

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