Superstructure-based Optimization for Assessing Defossilization Pathways in Petrochemical Clusters

Michael Tan; Paola Ibarra-González; Igor Nikolic; Andrea Ramírez Ramírez

doi:10.1016/B978-0-443-28824-1.50242-8

Superstructure-based Optimization for Assessing Defossilization Pathways in Petrochemical Clusters

Michael Tan, Paola Ibarra-González, Igor Nikolic, Andrea Ramírez Ramírez

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

Abstract

The petrochemical industry needs to reduce the use of fossil fuel as carbon feedstock to reduce its CO2 emissions. Several alternative carbon sources (ACSs), such as biomass, CO2 and plastic waste are being proposed to replace fossil carbon. As each of these ACS process routes has its tradeoffs, it is essential to identify the defossilization pathways that will have the most significant impact. In this work, a superstructure-based optimization approach is presented that can be used to assess defossilization pathways in existing petrochemical clusters. The small case study shows that CO₂ is a promising ACS to replace fossil fuel as the main carbon source but requires a large amount of green hydrogen and significant modifications to the existing cluster.

Original language	English
Title of host publication	Computer Aided Chemical Engineering
Subtitle of host publication	34th European Symposium on Computer Aided Process Engineering / 15th International Symposium on Process Systems Engineering
Editors	Flavio Manenti, Gintaras V. Reklaitis
Publisher	Elservier
Pages	1447-1452
Number of pages	6
ISBN (Electronic)	978-0-443-28824-1
DOIs	https://doi.org/10.1016/B978-0-443-28824-1.50242-8
Publication status	Published - 2024

Publication series

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

Keywords

carbon transition
optimization
petrochemical clusters
superstructure

Access to Document

10.1016/B978-0-443-28824-1.50242-8

Cite this

Tan, M., Ibarra-González, P., Nikolic, I., & Ramírez, A. R. (2024). Superstructure-based Optimization for Assessing Defossilization Pathways in Petrochemical Clusters. In F. Manenti, & G. V. Reklaitis (Eds.), Computer Aided Chemical Engineering: 34th European Symposium on Computer Aided Process Engineering / 15th International Symposium on Process Systems Engineering (pp. 1447-1452). (Computer Aided Chemical Engineering; Vol. 53). Elservier. https://doi.org/10.1016/B978-0-443-28824-1.50242-8

Tan, Michael ; Ibarra-González, Paola ; Nikolic, Igor et al. / Superstructure-based Optimization for Assessing Defossilization Pathways in Petrochemical Clusters. Computer Aided Chemical Engineering: 34th European Symposium on Computer Aided Process Engineering / 15th International Symposium on Process Systems Engineering. editor / Flavio Manenti ; Gintaras V. Reklaitis. Elservier, 2024. pp. 1447-1452 (Computer Aided Chemical Engineering).

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abstract = "The petrochemical industry needs to reduce the use of fossil fuel as carbon feedstock to reduce its CO2 emissions. Several alternative carbon sources (ACSs), such as biomass, CO2 and plastic waste are being proposed to replace fossil carbon. As each of these ACS process routes has its tradeoffs, it is essential to identify the defossilization pathways that will have the most significant impact. In this work, a superstructure-based optimization approach is presented that can be used to assess defossilization pathways in existing petrochemical clusters. The small case study shows that CO2 is a promising ACS to replace fossil fuel as the main carbon source but requires a large amount of green hydrogen and significant modifications to the existing cluster.",

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Tan, M , Ibarra-González, P , Nikolic, I & Ramírez, AR 2024, Superstructure-based Optimization for Assessing Defossilization Pathways in Petrochemical Clusters. in F Manenti & GV Reklaitis (eds), Computer Aided Chemical Engineering: 34th European Symposium on Computer Aided Process Engineering / 15th International Symposium on Process Systems Engineering. Computer Aided Chemical Engineering, vol. 53, Elservier, pp. 1447-1452. https://doi.org/10.1016/B978-0-443-28824-1.50242-8

Superstructure-based Optimization for Assessing Defossilization Pathways in Petrochemical Clusters. / Tan, Michael ; Ibarra-González, Paola ; Nikolic, Igor et al.
Computer Aided Chemical Engineering: 34th European Symposium on Computer Aided Process Engineering / 15th International Symposium on Process Systems Engineering. ed. / Flavio Manenti; Gintaras V. Reklaitis. Elservier, 2024. p. 1447-1452 (Computer Aided Chemical Engineering; Vol. 53).

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

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AB - The petrochemical industry needs to reduce the use of fossil fuel as carbon feedstock to reduce its CO2 emissions. Several alternative carbon sources (ACSs), such as biomass, CO2 and plastic waste are being proposed to replace fossil carbon. As each of these ACS process routes has its tradeoffs, it is essential to identify the defossilization pathways that will have the most significant impact. In this work, a superstructure-based optimization approach is presented that can be used to assess defossilization pathways in existing petrochemical clusters. The small case study shows that CO2 is a promising ACS to replace fossil fuel as the main carbon source but requires a large amount of green hydrogen and significant modifications to the existing cluster.

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Tan M , Ibarra-González P , Nikolic I , Ramírez AR. Superstructure-based Optimization for Assessing Defossilization Pathways in Petrochemical Clusters. In Manenti F, Reklaitis GV, editors, Computer Aided Chemical Engineering: 34th European Symposium on Computer Aided Process Engineering / 15th International Symposium on Process Systems Engineering. Elservier. 2024. p. 1447-1452. (Computer Aided Chemical Engineering). doi: 10.1016/B978-0-443-28824-1.50242-8

Superstructure-based Optimization for Assessing Defossilization Pathways in Petrochemical Clusters

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