Abstract

This paper presents a framework for profit-maximizing strategic bio-energy supply chain design by taking into account variability in biomass as a response to price set as well as uncertainty in biomass yield. We present our model as a two-stage stochastic integer program for a multi-period integrated design of a network in which the here-and-now strategic decisions include biorefinery locations and size as well as base biomass price. To efficiently solve our model, we suggest an L-shaped based algorithm along with a Sample Average Approximation (SAA) approach. Finally, we demonstrate our results in a case study in Texas using realistic data. Within our framework, we present the relationship between biomass and biofuel price, as well as the optimal network design for the biofuel producer.

摘要

本文提出了一个框架，该框架通过考虑生物量的可变性（作为对价格的响应）以及生物量产量的不确定性，来实现利润最大化的战略生物能源供应链设计。我们将模型作为两阶段随机整数程序进行展示，该程序用于网络的多周期集成设计，其中当前的战略决策包括生物炼油厂的位置和规模以及基本生物质价格。为了有效地解决我们的模型，我们建议使用基于L形的算法以及样本平均近似（SAA）方法。最后，我们使用实际数据在德克萨斯州的一个案例研究中证明了我们的结果。在我们的框架内，我们介绍了生物质和生物燃料价格之间的关系，以及生物燃料生产商的最佳网络设计。