A bi-objective model to locate several bio-reneries and optimize their supplies

TL;DR

This paper introduces a bi-objective mathematical model for strategically locating bio-refineries and optimizing biomass supply chains to minimize costs, emissions, and energy use over a year.

Contribution

It presents a novel bi-objective model addressing refinery placement and biomass logistics, focusing on cost, emissions, and energy optimization.

Findings

Optimized refinery locations reduce logistic costs.

Simultaneous minimization of GHG emissions and energy consumption.

Model demonstrates potential for sustainable biomass supply chain planning.

Abstract

Many research projects are devoted to biomass production, selection of new crops and bio-refinery processes but in comparison, the biomass supply chain to satisfy the planned demands of refineries are relatively neglected, although it could constitute the Achille's heel of the system. Indeed, an important fraction of biomass cost at refinery gates resides in logistic costs. This paper briefly presents a mathematical model to locate several refineries over a large territory and optimize their supplies over one year divided into weeks. Two objectives are minimized: the total cost of the system, GHG emissions, and energy consumptions.