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Integrated modelling of CFD and Thermodynamics for prediction of organic emissions during pre-heating of magnesia-carbon bricks

机译:CFD和热力学综合建模,用于预热氧化镁 - 碳砖的有机排放

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摘要

Magnesia carbon bricks are commonly used in BOFs and are generally pre-heated before the BOF goes into service. Owing to very stringent emission regulations, the BOF pre-heating process need to be controlled and optimized so that, the emission standards are met. One of the major concerns in organic emissions are its stringent limits on emission rates and total volatile emissions. In the present work, an attempt has been made to integrate CFD and Thermodynamic models to predict the emission rate of volatile organics during the pre-heating process. A one dimensional heat transfer model was developed using visual basic and then integrated with thermodynamics calculations using FactSage 6.4 [1]. The parameters that affected organic emissions were the preheating procedure, gas composition of the burner, heating rate and type of the burner. Typical composition of MgO-C bricks and binder materials were obtained from literature and vendor data sheets. Chemical reactions between organic materials, refractory and burner gasses were considered. The model predictions indicated that certain burner conditions could destroy all organics before it exits the vessel while other conditions needed the use of an after burner at the mouth of the vessel. The model was also able to predict the organic emission rates based on the chosen preheating profile. This kind of predictive model will be very useful for the steel industry and enable them to justify permit limit applications and stick to the limits by fine tuning their pre-heating process.
机译:氧化镁碳砖通常用于BOF,通常在BOF进入使用之前预热。由于具有非常严格的排放法规,需要控制和优化BOF预热过程,以便满足排放标准。有机排放中的主要问题之一是对排放率和总挥发排放的严格限制。在本作工作中,已经尝试集成CFD和热力学模型,以预测预热过程中挥发性有机物的排放率。使用Visual Basic开发一维传热模型,然后使用Factage 6.4 [1]与热力学计算集成。影响有机排放的参数是预热程序,燃烧器的气体组成,加热速度和燃烧器的类型。从文献和供应商数据表获得MgO-C砖和粘合剂材料的典型组成。考虑有机材料,耐火材料和燃烧器气体之间的化学反应。模型预测表明,在离开血管之前,某些燃烧器条件可能会破坏所有有机物,而其他条件需要在血管口处使用后燃烧器。该模型还能够基于所选择的预热型材来预测有机发射率。这种预测模型对钢铁行业非常有用,使他们能够通过微调预热过程来证明许可限制应用并粘附到极限。

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