处理生物质原料特性和反应器进料速率变化的最优控制
Optimal Control to Handle Variations in Biomass Feedstock Characteristics and Reactor In-Feed Rate
摘要：
原料特性如水分和粒度分布的变化导致从生物质预处理系统到反应器进料系统的原料流不一致。这些不一致性导致反应器进料设备的开工时间较短。本研究为生物质预处理系统开发了一种优化的过程控制方法，该系统包括研磨和致密化操作，以提供稳定的原料流到反应器的喉部。该方法使用混合整数最优化模型来识别生物质预处理系统中的最佳捆包排序、设备进料速率以及缓冲器位置和大小。这种方法被称为混合过程控制（HPC），其目的是随着时间的推移最大化吞吐量。我们比较HPC与基线前馈过程控制。基于柳枝稷的案例研究发现，HPC可将反应器进料速率的变化降低100%，而不会增加含水量为10 ~ 25%的生物质预处理系统的运行成本。生物精炼厂可以调整HPC以达到其设计能力。
英文摘要：
The variations in feedstock characteristics such as moisture and particle size distribution lead to an inconsistent flow of feedstock from the biomass pre-processing system to the reactor in-feed system. These inconsistencies result in low on-stream times at the reactor in-feed equipment. This research develops an optimal process control method for a biomass pre-processing system comprised of milling and densification operations to provide the consistent flow of feedstock to a reactor's throat. This method uses a mixed-integer optimization model to identify optimal bale sequencing, equipment in-feed rate, and buffer location and size in the biomass pre-processing system. This method, referred to as the hybrid process control (HPC), aims to maximize throughput over time. We compare HPC with a baseline feed forward process control. Our case study based on switchgrass finds that HPC reduces the variation of a reactor's feeding rate by 100\% without increasing the operating cost of the biomass pre-processing system for biomass with moisture ranging from 10 to 25\%. A biorefinery can adapt HPC to achieve its design capacity.
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