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.

森林系统是生物精炼厂生物质的重要来源。但是，非常复杂的动力学为其高效设计带来了困难。本工作提出了一种考虑这些动态的生物精炼厂设计优化框架。考虑了四个相互关联的决策层：生物质供应，转化过程，存储和市场。该模型被制定为MILP，以使运营净现值最大化。介绍了巴西桉树牛皮纸浆厂中木质素提取的案例研究。土地供应，森林生产力和利率对于生产设施的位置和规模至关重要。物流网络优先考虑在运输距离内尽量减少营业税。在木质素价格上涨50％的情况下，沉淀技术已在财务上具有吸引力。最佳的技术位置是圣保罗，因为机会成本较低且市场附近。这些结果凸显了整个供应链评估在生物炼油厂设计中的重要性。