胡小金, 刘三举, 刘俊,等.生物质流化床流化特性试验研究与数值模拟[J].河南理工大学学报（自然科学版）,2020,39(3):94-99.

HU X J, LIU S J, LIU J , et al.Experimental study and numerical simulation of fluidization characteristics of biomass fluidized bed[J].Journal of Henan Polytechnic University(Natural Science) ,2020,39(3):94-99.

生物质流化床流化特性试验研究与数值模拟

胡小金1, 刘三举1, 刘俊1, 成松廷1, 徐亚南1, 王发辉2, 温小萍2

1.湖北华电襄阳发电有限公司，湖北襄阳 441141;2.河南理工大学 机械与动力工程学院，河南焦作 454000

摘要:为了研究生物质气化过程中流化床物料的流化状态，搭建了生物质流化床试验系统。以空气为流化介质，对石英砂进行流化试验，并在考虑物料颗粒间碰撞的基础上，基于DEM （ discrete element method）模型对流化床床层区域空间内颗粒流动特性进行数值模拟。结果表明： 当床层物料堆积密度、温度一定时，对应颗粒直径分别为0.56，0. 35，0. 18 mm的石英砂临界流化风速分别为0. 017 ，0. 065，0. 170 m/s，物料粒径越小，达到流化状态所需要的流化风速也越小；数值模拟结果与试验结果相比，平均误差为23.1%，临界风速的预测与试验结果基本一致，这表明计算模型对于鼓泡状的两相流动状态有较好的预测效果。

关键词:生物质;流化床;流化特性;临界流速;数值模拟

doi:10.16186/j.cnki.1673-9787.2020.3.12

基金项目:国家自然科学基金资助项目（51174115 ）

收稿日期:2019/08/20

修回日期:2019/10/15

出版日期:2020/05/15

Experimental study and numerical simulation of fluidization characteristics of biomass fluidized bed

HU Xiaojin1, LIU Sanju1, LIU Jun1, CHENG Songting1, XU Yanan1, WANG Fahui2, WEN Xiaoping2

1.Hubei Huadian Xiangyang Power Generation Co. ， Ltd. ， Xiangyang  441141 ， Hubei， China;2.School of Mechanical and Power Engineering， Henan Polytechnic University， Jiaozuo  454000 ， Henan， China

Abstract:In order to study the fluidization state of fluidized bed material during biomass gasification， the experimental system of biomass fluidized bed was set， with air as the fluidized medium， the quartz sand fluidization experiment was carried out. A DEM（ discrete element method） model was used to numerically calculate the particle flow characteristics in the zone space of the fluidized bed. The results showed that when the stacking density of bed material and temperature were constant， the critical fluidization wind speeds of corresponding quartz sands with particle diameters of 0. 56 ，0. 35 ，0. 18 mm were 0.017 ，0.065 ，0. 170 m/s， respectively. When the particle size of the material was smaller， the fluidized wind speed required to reach the fluidized state was smaller. Compared with experimental results， the average error of numerical simulation results was 23. 1 % ， and the prediction of critical wind speeds were basically consistent with the experimental results， which indicated that the computational model had a good prediction effect on the bubbly two-phase flow state.

Key words:biomass;fluidized bed;fluidization characteristic;critical velocity;numerical simulation

生物质流化床流化特性试验研究与数值模拟_胡小金.pdf