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Multi-objective optimization of the renewable methanol for a defossilized production

Abstract: This work focuses on a technology implementation problem for decarbonizing hard-to-abate CO2 emissions by carbon storage and carbon utilization approaches. The technological pathway to achieve net-zero emissions within an industry by 2050 is proposed, dealing with the implications of sequestrating the industrial CO2 or recycling it to produce low-carbon methanol. A multi-objective mixed integer nonlinear programming model is formulated to minimize the net cost, greenhouse gas emissions, and abiotic resource consumption under a life cycle perspective. The outcome provided by Pareto?s solution represents the compromises of manufacturing CO2-based products: a deep decarbonized and defossilised product entails a large production cost, suggesting the need for subsidies to reach the global markets. The results show that investment strategies for achieving decarbonization targets may differ when integrating the defossilization perspective

Other conference communications or articles related to authors from the University of Cantabria

 Authorship: Fernández-González J., Rumayor M., Laso-Cortabitarte J., Domínguez-Ramos A., Irabien A., Grossmann I.E.,

 Congress: European Symposium on Computer Aided Process Engineering: ESCAPE (34º : 2024 : Florencia, Italia)

 Publisher: Elsevier

 Publication date: 01/06/2024

 No. of pages: 6

 Publication type: Comunicación a Congreso

 DOI: 10.1016/B978-0-443-28824-1.50360-4

 ISSN: 1570-7946

 Spanish project: PID2020-112845RB-I00

 Publication Url: https://doi.org/10.1016/B978-0-443-28824-1.50360-4