白皓, 马扬, 王刚, 苍大强, 张鑫. 钢铁企业基于能耗指标分解模型的情景分析[J]. 工程科学学报, 2010, 32(11): 1513-1520. DOI: 10.13374/j.issn1001-053x.2010.11.024
引用本文: 白皓, 马扬, 王刚, 苍大强, 张鑫. 钢铁企业基于能耗指标分解模型的情景分析[J]. 工程科学学报, 2010, 32(11): 1513-1520. DOI: 10.13374/j.issn1001-053x.2010.11.024
BAI Hao, MA Yang, WANG Gang, CANG Da-qiang, ZHANG Xin. Scenario analysis based on the decomposition model of energy consumption index in a steel plant[J]. Chinese Journal of Engineering, 2010, 32(11): 1513-1520. DOI: 10.13374/j.issn1001-053x.2010.11.024
Citation: BAI Hao, MA Yang, WANG Gang, CANG Da-qiang, ZHANG Xin. Scenario analysis based on the decomposition model of energy consumption index in a steel plant[J]. Chinese Journal of Engineering, 2010, 32(11): 1513-1520. DOI: 10.13374/j.issn1001-053x.2010.11.024

钢铁企业基于能耗指标分解模型的情景分析

Scenario analysis based on the decomposition model of energy consumption index in a steel plant

  • 摘要: 在钢铁厂能耗指标分解模型的基础上运用情景分析法,对钢铁厂的主工序吨钢能耗情况进行分析和预测.为评价国内某钢铁厂2009年和2012年的能耗水平,构建了先进工序能耗、近期可行及远期可能余热回收情景,其中近期可行余热回收情景只涉及烧结烟气、热轧烟气和冷轧高温烟气的余热回收,远期可能余热回收情景则包括各工序排放的高温烟气和固体废弃物的余热回收.通过对各情景的比较,得出节能效果最好的是先进工序能耗情景,近期可行余热回收节能效果并不显著,远期可能余热回收可较大幅降低能耗,最后提出了应用先进电炉预热技术、发展高温固体余热回收技术及提高轧钢工序余热回收等进一步节能的建议.

     

    Abstract: On the basis of the decomposition model of energy consumption index,the energy consumption per ton steel in main processes was forecasted and analyzed by using scenario analysis.In order to evaluate the energy consumption of a domestic steel plant in 2009 and 2012,scenarios which respectively considered feasible lowest process energy consumption(FLPEC),feasible and possible waste heat reusing technologies were built.In the feasible scenario,only the waste heat of high-temperature flue gas in sintering,hot and cool-rolling processes was recoverable,while the heat recovery of flue gas and solid in every process was considered in the possible scenario.Through comparing these scenarios,it is concluded that the energy saving effect of the FLPEC scenario is the best,and the feasible technologies have little effect while the possible technologies can reduce energy consumption significantly.Finally,some suggestions for further energy saving work are proposed,such as applying advanced preheating technologies in electric arc furnaces,developing high-temperature solid heat recovery technologies and improving the waste heat recovery in rolling process.

     

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