\r赵 军，王稼晨，闫 祺，马 凌，李文甲\r
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AuthorsHTML:\r赵 军，王稼晨，闫 祺，马 凌，李文甲\r
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AuthorsListE:\rZhao Jun，Wang Jiachen，Yan Qi，Ma Ling，Li Wenjia\r
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AuthorsHTMLE:\rZhao Jun，Wang Jiachen，Yan Qi，Ma Ling，Li Wenjia\r
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Unit:\r天津大学机械工程学院，天津 300350\r
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Unit_EngLish:\rSchool of Mechanical Engineering，Tianjin University，Tianjin 300350，China\r
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Abstract_Chinese:\r\r对轧钢加热炉生产过程的能效分析评价是开展加热炉节能工作和发展加热炉节能技术的基础．针对加热炉的能效问题，建立了包含加热炉热流、\r\r\r\r流分析的能效分析模型，以热效率、\r\r\r\r\r效率、标准燃料消耗量作为能效评价指标，对加热炉实际生产案例进行了能效评估\r；结合加热炉所处热轧流程的工作特点具体分析加热炉能量损失原因，将其划分为可避免能量损失与不可避免能量损失，前者为加热炉前后工序的不匹配引起的能量损失，后者为加热炉在理想工序匹配条件下由于设备工作过程固有限制而引起的能量损失；根据能量损失原因相应地提出工序匹配和余热回收这两种能效优化技术方法，利用两种方法对加热炉实际生产案例进行了能效优化分析，并以节能率、优化后加热炉的标准燃料消耗量为评价指标对优化结果进行评价，结果显示两种方法的节能率分别为\r7.71\r%\r和\r14.69\r%\r，优化后加热炉的标准燃料消耗量分别为\r47.29kg\r/t\r(\r标煤\r)\r和\r44.29kg\r/t\r(\r标煤\r)\r，两种方法可同时应用于加热炉的能效优化，同时使用时，其综合节能率为\r23.56\r%\r，加热炉热效率由\r49.36\r%\r升至\r60.99\r%\r，\r\r\r\r效率由\r41.83\r%\r升至\r47.11\r%\r，标准燃料消耗量由\r51.12kg\r/t\r(\r标煤\r)\r降至\r40.98kg\r/t\r(\r标煤\r)\r．\r\r\r
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Abstract_English:\r\rAssessments of the energy efficiency of steel-rolling reheating furnaces has formed the basis of energy-saving technologies in steel-rolling production\r．\rTo study the energy utilization of reheating furnaces\r，\ran energy efficiency analysis model that included both the energy flow and exergy flow analysis was presented\r．\rIn this model\r，\rthe energy efficiency indicators of reheating furnaces were presented\r，\rincluding thermal efficiency\r，\rexergy efficiency\r，\rand consumption of standard fuel\r，\rand a case study of the energy efficiency assessment of a reheating furnace was conducted\r．\rAccording to the working characteristics of the hot rolling process\r，\rthe energy losses of the reheating furnaces were divided into avoidable and unavoidable energy loss\r，\rwhich were defined to quantify the losses caused by\r，\rrespectively\r，\rthe mismatch of the hot rolling production\r，\rand the inherent limitations of the working processes in reheating furnaces\r．\rOn this basis\r，\rtwo energy efficiency optimization methods of enhancing the performances of process matching and recycling the waste heat of reheating furnaces were proposed\r．\rSubsequently\r，\rprocess matching optimization and waste heat recovery analysis were applied in an actual case and evaluated by the indicators for energy-saving rate and consumption of standard fuel\r．\rFor the two methods applied to the reheating furnace\r，\rthe energy-saving rates were 7.71\r%\r and 14.69\r%\r，\rand the consumption rates of standard fuel were 47.29kg/t\r(\rcoal equivalent\r)\rand 44.29kg/t\r(\rcoal equivalent\r)\r，\rrespectively\r．\rFurthermore\r，\rthe comprehensive energy-saving rate reached 23.56\r%\r when the two optimization methods were simultaneously used\r．\rIt was also found that the thermal and exergy efficiencies of the reheating furnace increased\r，\rrespectively\r，\rfrom 49.36\r%\r to 60.99\r%\r，\rand from 41.83\r%\r to 47.11\r%\r，\rwhile the consumption of standard fuel was reduced from 51.12kg/t\r(\rcoal equivalent\r)\rto 40.98kg/t\r(\rcoal equivalent\r)\r．\rThe presented model provides feasible suggestions for energy-saving in reheating furnaces\r．\r\r
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Keyword_Chinese:轧钢加热炉；能量损失；节能率；工序匹配；余热回收\r

Keywords_English:steel-rolling reheating furnace；energy loss；energy-saving rate；process matching；waste heat recovery\r


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