The industrial fluidized bed reactor (FBR) described here is designed to convert an aqueous solid laden stream into a consistent granular product. The FBR is heated to 650 °C and chemically reducing conditions are achieved by using steam as the fluidizing gas and coal as a source of carbon. The objective of this study is to use the MFiX (Multiphase Flow with Interphase eXchanges) two-fluid model as a screening tool to investigate the effects of off-nominal conditions to establish performance guidelines. This information will be helpful in assessing whether the identified boundaries of the system are steep or gradual. Initially, 13 independent operating parameters were sampled in a one-at-a-time manner using high, low, and base values and ranked against a set of performance criteria indicative of defluidization. Five operating parameters were found to have the largest effect (bed particle size, bed particle density, coal particle size, spray feed flow rate, and fluidizing gas flow rate) on three quantities of interest—bed differential temperature, low solids velocity, and bed voidage. Latin-hypercube sampling was used to generate a minimal number of random values for various combinations of input parameters. The spray feed flow rate was the most significant parameter affecting the temperature differences, followed by the coal particle and bed particle size. The bed particle size had the largest effect on the low velocity of the bed particles, with the coal particle size as a contributing second effect. The high solid packing shows the coal particle size with the largest effect, and significant secondary contributions from the feed flow rate and fluidizing gas flow rate. The fits to the five-dimensional Gaussian Process models were 0.7797, 0.8664, and 0.9440 for the temperature, velocity, and solids packing, respectively.

本文所述的工业流化床反应器（FBR）设计用于将载有水的固体流转化为一致的颗粒状产品。将FBR加热到650°C，并通过使用蒸汽作为流化气体和使用煤作为碳源来实现化学还原条件。这项研究的目的是使用MFiX（具有相间交换的多相流）两流体模型作为筛选工具，以研究非标称条件的影响以建立性能指南。该信息将有助于评估系统标识的边界是陡峭的还是渐变的。最初，使用高，低和基值一次一次地采样了13个独立的操作参数，并根据一组指示去流体的性能标准对其进行了排名。五个操作参数被发现对三个感兴趣的量（床温差，低固体速度和床）有最大的影响（床粒度，床粒度，煤粒度，喷雾进料流量和流化气体流量）。空隙。拉丁超立方体采样用于为输入参数的各种组合生成最少数量的随机值。喷雾进料流速是影响温度差异的最重要参数，其次是煤颗粒和床层粒径。床颗粒尺寸对床颗粒的低速具有最大的影响，而煤颗粒尺寸是第二影响。高固含量显示出最大的煤粒尺寸，以及来自进料流速和流化气体流速的重要次要贡献。对于温度，速度和固体堆积，五维高斯过程模型的拟合分别为0.7797、0.8664和0.9440。