建立了折流式移动流化床内利用改质焦炉煤气进行气基粉铁矿预还原的数学模型。模型求解采用FLUENT和PHOENICS的联合求解。冷态工况的数值模拟结果和试验结果进行了比较。通过比较床层平均压降和分析气固相的流动行为,对提出的数学模型的可靠性进行了验证。利用所建立的数学模型对利用该反应器和采用改质COG(焦炉煤气)对铁矿粉预还原的工艺过程进行了热态模拟。在模拟的工况条件下,指出了反应器内分布板布置上的缺陷;反应器必须采用气体分布板振动才可以保持气固正常流动,同时保持较小的流化气速。还原气温度的整体降幅达到770K,气相还原势的利用率达到35%,矿粉的还原分数达到0.7,反映出该反应器内良好的气固换热和对还原势的利用率。该反应器在一个紧凑的结构下实现了对还原气热能和还原势的梯级利用。
A mathematical model of reformed COG (coke oven gas) reduction of iron ore fines using the Z-path moving-fluidized bed reactor was developed. The proposed model was solved by an integration of PHOENICS and FLUENT. Simulation results were compared with experiments results in respect of pressure drop per perforated plate and gas-solid flow pattern under cold condition. The agreement between them was good. The model was then applied to predict the performance of the reactor for gaseous reduction of iron ore fines using reformed COG. The simulation results show that the reactor have some deficiencies in the placement of perforated plates under hot condition. The top two plates need vibration to keep a stable solid flow and comparatively low fluidization speed. Under the simulation conditions, gas temperature drop is about 700K, utilization ratio of the gas reducing potential is about 35% and reduction fraction of the ore fines is 0.7. It reflects that the reactor have advantages of excellent gas-solid heat transfer and excellent reduction potential utilization. The step utilization of reducing gas heat and reduction potential can realize in a compact structure of the reactor.
参考文献
- 下载量()
- 访问量()
- 您的评分:
-
10%
-
20%
-
30%
-
40%
-
50%