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optimizing chemical energy into electric arc furnaces

机译:优化化学能进入电弧炉

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Modern Electric Arc Furnaces utilize significant amounts of chemical energy to lower the overall energy usage associated with the melting of scrap steel. Typically, between 30 to 50% of the total energy required is supplied from the chemical reactions with the steel, particularly, that associated with the oxidation of iron and silicon, and from natural gas burners. Utilizing the chemical energy effectively within the furnace is important to the overall energy efficiency of the furnace and the cost of operation. Researchers at Swinburne University of Technology have been working closely with engineers at OneSteel to (a) develop effective and practical models to predict energy consumption and how it is affected by various parameters and (b) form strategies to lower overall energy consumption. The models developed are based on thermodynamics with corrections for kinetics effects. Building on the models developed and previous work by Jepson, we developed relationships to predict how the cost of both electrical and chemical energy varied with meltdown time. These predictions were tested with plant trials and confirmed that cost savings greater than 3% could be achieved by using more natural gas in the early part of heat. The approach taken is quite general, that is, the modeling and cost analysis approach described in the paper could be applied to similar furnaces.
机译:现代电弧炉利用大量化学能来降低与废钢熔化相关的总能耗。通常,所需总能量的30%至50%来自与钢的化学反应,特别是与铁和硅的氧化有关的化学反应,以及天然气燃烧器。有效地利用炉内的化学能对于炉的整体能效和操作成本很重要。斯威本科技大学的研究人员一直在与OneSteel的工程师紧密合作,以(a)开发有效且实用的模型来预测能耗以及能耗如何受到各种参数的影响,以及(b)制定降低总体能耗的策略。开发的模型基于热力学,并对动力学效应进行了校正。在吉普森开发的模型和以前的工作的基础上,我们开发了关系来预测电能和化学能的成本如何随熔化时间而变化。这些预测已通过工厂试验进行了测试,并确认通过在供热的早期使用更多的天然气可以节省超过3%的成本。所采用的方法相当笼统,也就是说,本文中描述的建模和成本分析方法可以应用于类似的熔炉。

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