吨钢可比能耗
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运用现代化管理方法降低吨钢可比能耗
Applying modernization management method to reduce comparable energy consumption per ton of steel
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吨钢可比能耗影响因素剖析初探
Some investigation to the influence factors of comparable energy consumption in per ton steel
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铁钢比的高低,直接关系到吨钢可比能耗的升高与降低。
The iron-steel ratio has a direct influence on raising and lowering of comparable energy consumption of per ton steel .
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利用该模型可获得不同生产条件下各工序能耗的计算最小值和长流程的吨钢可比能耗。
The minimum energy consumption values and the energy consumption values of per ton steel can be given under the different conditions .
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本文介绍了如何找出影响吨钢可比能耗诸因素的数值及其计算方法和应用例子。
This paper introduces the way of how to find the influence factors of comparable energy consumption in per ton steel and its numerical calculation and application example .
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通过数据分析发现,销售利税率、资金利税率、综合成材率、吨钢可比能耗以及连铸比对钢铁企业的经济效益影响较大。
It is found that return on sales , return on investment , high quality ratio , comparable energy consumption per ton of steel and continuous casting ratio have greater effects on an enterprise 's financial performance .
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吨钢可比能耗,是反映钢铁企业能源消费水平和利用水平的主要技术经济指标,多年来,它一直是冶金企业能源管理者的一个重要研究课题。
The comparable energy consumption per ton steel is a principal technical and economic index which reflects energy consumption and utilization level in iron and steel industry and an important research project of energy management in metallurgical industry .
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十年多来,我国一直用吨钢综合能耗和吨钢可比能耗来评价钢铁工业和企业节能工作的进展情况。
In the past 10 years or more , the comprehensive energy consump-tion and the comparable energy consumption per ton steel have been adopted to evaluate development of energy-saving work of iron and steel industry and enterprises .
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1999年韶钢节能工作取得了显著的成绩,吨钢综合能耗和吨钢可比能耗再创历史新低,同比降低15.7%和16.9%。
An appreciable energy saving was attained at SGIS in 1999 , with both the gross and comparable energy consumptions per ton of steel reduced by 15.6 and 16.9 percent respectively , as compared to last year 's levels , and reaching the lowest in the history of SGIS .
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提出了武钢降低吨钢能耗的途径和九五末的吨钢可比能耗预测。
It is also shown the measures to reduce the energy consumption and the prediction of comparable energy consumption per 1 ton steel at WISCO at the end of the 20th century .