Abstract
Forest systems represent an important source of biomass for biorefineries. However, very complex dynamics impose difficulties in its efficient design. The present work proposes an optimization framework for biorefineries design that considers these dynamics. Four interconnected decision layers were considered: biomass supply, conversion processes, storage, and markets. The model is formulated as a MILP for maximizing the operational Net Present Value. An illustrative case-study was presented for lignin extraction in eucalyptus Kraft Pulp mills in Brazil. Land availability, forest productivity, and interest rates were fundamental for the location and sizing of production facilities. Logistics networks prioritized the minimization of sales taxes over transportation distance. The precipitation technology has become financially attractive in a scenario with a 50% lignin price increase. The optimal technology location was Sao Paulo due to lower opportunities costs and markets’ vicinity. These outcomes highlight the importance of the whole supply chain evaluation in biorefinery design.
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