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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

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

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

 Editorial: Elsevier

 Fecha de publicación: 01/06/2024

 Nº de páginas: 6

 Tipo de publicación: Comunicación a Congreso

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

 ISSN: 1570-7946

 Proyecto español: PID2020-112845RB-I00

 Url de la publicación: https://doi.org/10.1016/B978-0-443-28824-1.50360-4