Hosseini Seyed Ali, Shah Nilay
Centre for Process Systems Engineering and Porter Institute, Department of Chemical Engineering, Imperial College London, Technology and Medicine, London SW7 2AZ, United Kingdom.
Bioresour Technol. 2009 May;100(9):2621-8. doi: 10.1016/j.biortech.2008.11.030. Epub 2009 Jan 10.
The objective of this work is to develop a relationship between biomass chip size and the energy requirement of hydrothermal pretreatment processes using a multiscale modelling approach. The severity factor or modified severity factor is currently used to characterize some hydrothermal pretreatment methods. Although these factors enable an easy comparison of experimental results to facilitate process design and operation, they are not representative of all the factors affecting the efficiency of pretreatment, because processes with the same temperature, residence time, and pH will not have same effect on biomass chips of different size. In our study, a model based on the diffusion of liquid or steam in the biomass that takes into account the interrelationship between chip size and time is developed. With the aid of our developed model, a method to find the optimum chip size that minimizes the energy requirement of grinding and pretreatment processes is proposed. We show that with the proposed optimization method, an average saving equivalent to a 5% improvement in the yield of biomass to ethanol conversion process can be achieved.
这项工作的目标是使用多尺度建模方法建立生物质芯片尺寸与水热预处理过程能量需求之间的关系。目前，严重程度因子或修正严重程度因子用于表征一些水热预处理方法。尽管这些因子能够轻松比较实验结果以促进工艺设计和操作，但它们并不能代表影响预处理效率的所有因素，因为具有相同温度、停留时间和pH值的工艺对不同尺寸的生物质芯片不会产生相同的效果。在我们的研究中，开发了一个基于液体或蒸汽在生物质中扩散的模型，该模型考虑了芯片尺寸和时间之间的相互关系。借助我们开发的模型，提出了一种找到使研磨和预处理过程能量需求最小化的最佳芯片尺寸的方法。我们表明，通过所提出的优化方法，可以实现平均节省，相当于生物质到乙醇转化过程产率提高5%。
