Mechanism and application of an online intelligent evaluation model for energy consumption of a reheating furnace
作者机构：Department of Thermal EnergySchool of Energy and EnvironmentAnhui University of TechnologyMa’anshan 243002AnhuiChina Department of Metallurgical EngineeringSchool of Energy and EnvironmentAnhui University of TechnologyMa’anshan 243002AuhuiChina Department of Construction and Environmental EngineeringSchool of Architectural EngineeringAnhui University of TechnologyMa’anshan 243002AnhuiChina Ma’anshan Iron and Steel Co.Ltd.Ma’anshan 243003AnhuiChina
出 版 物：《Journal of Iron and Steel Research International》 (国际钢铁研究杂志)
年 卷 期：2023年第30卷第1期
页 面：102-111页
核心收录：
学科分类：080602[工学-钢铁冶金] 08[工学] 0806[工学-冶金工程]
基 金：supported by the National Key Researchand Development Programof China (Grant No.2020YFB1711101) the Anhui Provincial University Natural Science Foundation Key Project (Grant No.KJ2019A127)
主 题：Online intelligent evaluation Model mechanism Contribution Data reconstruction
摘 要：An online model was proposed to identify the reasons behind changes in the energy consumption of the reheating furnace of a steel processing *** heat conversion of the furnace was analyzed and integrated with the fuel consumption of the furnace to obtain a model of the energy *** with the mechanism analysis,the basic parameters affecting energy consumption were determined,and four key influencing factors were obtained:furnace output,furnace charging temperature,furnace tapping temperature,and steel *** specific calculation method of the contribution of each influencing factor was derived to define the conditions of the baseline energy consumption,while the online data were used to calculate the energy value and the actual performance value of the baseline energy *** contribution of each influencing factor was determined through *** cloud platform was used for database reconstruction and programming to realize the online intelligent evaluation of the energy consumption of the reheating ***,a case study of the evaluation of the practical energy consumption of a steel rolling furnace in a steel plant was *** intelligent evaluation results were quantified and displayed online,and the performance of the system in reducing production line energy consumption was demonstrated.
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