Sara Giarola - Profile on Academia.edu (original) (raw)

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National Environmental Engineering Research Institute

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Papers by Sara Giarola

Research paper thumbnail of Biobased Supply Chain Optimisation Model under Uncertainties

Computer Aided Chemical Engineering, 2017

This contribution presents the development of a generic two-stage stochastic Mixed Integer Linear... more This contribution presents the development of a generic two-stage stochastic Mixed Integer Linear Programming (MILP) modelling framework to optimise the systematic design and planning of spatially explicit, multi-period, multi-echelon and multi-feedstock lig-nocellulosic biomass-to-biobased products supply chain networks in terms of financial profitability accounting for biomass yield uncertainty. A demonstrative European case study is addressed involving the potential Hungarian lignocellulose-based ethanol and power production. Results show the effectiveness of the proposed decision-making tool at providing a quantitative analysis regarding the economic performance of different design configurations and their effects in terms of investment decisions.

Research paper thumbnail of Biobased Supply Chain Optimisation Model under Uncertainties

Computer Aided Chemical Engineering, 2017

This contribution presents the development of a generic two-stage stochastic Mixed Integer Linear... more This contribution presents the development of a generic two-stage stochastic Mixed Integer Linear Programming (MILP) modelling framework to optimise the systematic design and planning of spatially explicit, multi-period, multi-echelon and multi-feedstock lig-nocellulosic biomass-to-biobased products supply chain networks in terms of financial profitability accounting for biomass yield uncertainty. A demonstrative European case study is addressed involving the potential Hungarian lignocellulose-based ethanol and power production. Results show the effectiveness of the proposed decision-making tool at providing a quantitative analysis regarding the economic performance of different design configurations and their effects in terms of investment decisions.

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