Department of Chemical Engineering, Faculty of Engineering and Physical Sciences , University of Surrey , Guildford GU2 7XH , UK.
Interface Focus. 2011 Apr 6;1(2):255-62. doi: 10.1098/rsfs.2010.0013. Epub 2011 Feb 2.
There is a large body of literature regarding the choice and optimization of different processes for converting feedstock to bioethanol and bio-commodities; moreover, there has been some reasonable technological development in bioconversion methods over the past decade. However, the eventual cost and other important metrics relating to sustainability of biofuel production will be determined not only by the performance of the conversion process, but also by the performance of the entire supply chain from feedstock production to consumption. Moreover, in order to ensure world-class biorefinery performance, both the network and the individual components must be designed appropriately, and allocation of resources over the resulting infrastructure must effectively be performed. The goal of this work is to describe the key challenges in bioenergy supply chain modelling and then to develop a framework and methodology to show how multi-scale modelling can pave the way to answer holistic supply chain questions, such as the prospects for second generation bioenergy crops.
关于将原料转化为生物乙醇和生物制品的不同工艺的选择和优化，已有大量文献；此外，在过去十年中，生物转化方法在技术上也有了一定的合理发展。然而，生物燃料生产的最终成本和其他与可持续性相关的重要指标不仅取决于转化过程的性能，还取决于从原料生产到消费的整个供应链的性能。此外，为了确保世界级的生物炼制厂的性能，网络和各个组件都必须进行适当的设计，并且必须有效地对由此产生的基础设施进行资源分配。这项工作的目标是描述生物能源供应链建模中的关键挑战，然后开发一个框架和方法，展示多尺度建模如何为回答整体供应链问题铺平道路，例如第二代生物能源作物的前景。
