The identification of alternative and sustainable energy sources has been one of the fundamental research goals of the last two decades and electric cars or biofuel fed vehicles may contribute to tackle this formidable issue. According to this perspective, a multi-echelon supply chain is here investigated considering biomass cultivation, transport, conversion into bioethanol or bioelectricity, distribution and final usage in alternative bifuel (ethanol and petrol) and electric vehicles. Multiperiod and spatially explicit features are introduced in a Mixed Integer Linear Programming modelling framework where economic and environmental objectives are simultaneously taken into account assessing multiple technologies. Results will show the efficacy of the methodology at providing stakeholders with a quantitative tool to optimise the economic and environmental performance of different supply chain configurations

Optimising biomass-based energy supply chains for sustainable mobility

d'AMORE, FEDERICO;BEZZO, FABRIZIO
2016

Abstract

The identification of alternative and sustainable energy sources has been one of the fundamental research goals of the last two decades and electric cars or biofuel fed vehicles may contribute to tackle this formidable issue. According to this perspective, a multi-echelon supply chain is here investigated considering biomass cultivation, transport, conversion into bioethanol or bioelectricity, distribution and final usage in alternative bifuel (ethanol and petrol) and electric vehicles. Multiperiod and spatially explicit features are introduced in a Mixed Integer Linear Programming modelling framework where economic and environmental objectives are simultaneously taken into account assessing multiple technologies. Results will show the efficacy of the methodology at providing stakeholders with a quantitative tool to optimise the economic and environmental performance of different supply chain configurations
2016
Computer Aided Chemical Engineering
9780444634283
9780444634283
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3211028
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