Superstructure-based Optimization for Assessing Defossilization Pathways in Petrochemical Clusters

Book chapter (2024)

Authors

Michael D. Tan Energy and Industry
P. Gonzalez Energy and Industry
I Nikolic System Engineering, Multi Actor Systems
C. A. Ramirez ChemE/Chemical Engineering
Research Group
Energy and Industry
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Published Date

2024

Language

English

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Research Group

Energy and Industry

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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