To determine the optimal configuration of supply chain network for microalga-based biodiesel (MADSCN) considering uncertain values which influence the optimal strategies of microalga-based biodiesel production, we develop a two-stage stochastic model that considers the CO₂ supply and biodiesel demand as uncertain parameters, which simultaneously influence the potential locations for the construction of carbon-capture-and-storage systems to supply CO₂ as feedstock, and of biorefineries to produce and distribute the biodiesel as to regions in which it is in demand. The proposed framework is formulated using mixed-integer linear programming to identify the optimal MADSCN configuration that minimizes the overall cost of microalga-based biodiesel production. Variation of both uncertain factors in the stochastic model affect the configurations and operating strategies of MADSCN compared to the deterministic model that fixes the factors. The optimal superstructure of MADSCN was affected more significantly by uncertain biodiesel demand than by uncertain CO₂ emission.

为了确定微藻生物柴油 (MADSCN) 供应链网络的最佳配置，考虑到影响微藻生物柴油生产最佳策略的不确定值，我们开发了一个两阶段随机模型，将 CO ₂供应和生物柴油需求视为不确定参数，同时影响建造碳捕获和储存系统以供应 CO ₂的潜在位置作为原料，以及生物精炼厂生产和分销生物柴油的地区。所提出的框架使用混合整数线性规划来确定最佳 MADSCN 配置，从而最大限度地降低基于微藻的生物柴油生产的总体成本。与固定这些因素的确定性模型相比，随机模型中两个不确定因素的变化都会影响 MADSCN 的配置和操作策略。与不确定的CO ₂排放相比，不确定的生物柴油需求对MADSCN 的最优上层结构的影响更大。