| 162 | 5 | 57 |
| 下载次数 | 被引频次 | 阅读次数 |
氧化铝浓度的分布与电解过程的电流效率、温室气体排放及运行稳定性等参数都息息相关。针对传统铝电解多相多场的离线仿真速度响应不及时、对硬件要求高、仿真结果无法在线或直接用于指导生产实践等问题，将离线仿真数据与检测数据有效融合，开展铝电解动态仿真的研究，即基于实时阳极电流信号及未来预测值，结合动态U型曲线关系，在CFD氧化铝浓度的离线仿真结果库的基础上，对氧化铝浓度进行了动态仿真。为最终实现铝电解数字孪生体分布式信号采集-电流预测-氧化铝浓度动态仿真的一体化提供先进思路与技术方法。
Abstract：The distribution of alumina concentration is closely related to the current efficiency, greenhouse gas emission and operation stability of the electrolysis process.Address to the off-line simulation speed response of traditional aluminum electrolysis multi-phase and multi-field is not timely, the hardware requirements are high, and the simulation results cannot be online or directly used to guide the production practice, the off-line simulation data and the detection data are effectively integrated to carry out the research on the dynamic simulation of aluminum electrolysis.Based on the real-time anode current signal and the future prediction value, combined with the dynamic U-shaped curve relationship, the dynamic simulation of alumina concentration was carried out on the basis of the off-line simulation result library of CFD alumina concentration.It provides advanced ideas and technical methods for the final realization of the integration of distributed signal acquisition-current prediction-alumina concentration dynamic simulation of aluminum electrolysis digital twin.
[1] 王欢，马冰，贾凌霄，等.碳中和目标下关键矿产在清洁能源转型中的作用、供需分析及其建议[J].中国地质，2021,48(6):1720-1733.WANG H,MA B,JIA L X,et al.The role,supply and demand analysis and suggestions of key minerals in clean energy transformation under the goal of carbon neutrality[J].Geology in China,2021,48(6):1720-1733.
[2] 王勇，仲维洋，佟永吉，等.电解铝企业参与弃风消纳可行性与经济性分析[J].轻金属，2021(1):58-62.WANG Y,ZHONG W Y,TONG Y J,et al.Feasibility and economic analysis of electrolytic aluminum enterprises participating in the consumption of abandoned wind[J].Light Metals,2021(1):58-62.
[3] 刘风琴，邱定蕃，顾松青，等.我国铝冶炼工业的竞争力分析及发展趋势[J].工程科学学报，2022,44(4):561-572.LIU F Q,QIU D F,GU S Q,et al.Competitiveness analysis and development trend of China′s aluminum smelting industry[J].Chinese Journal of Engineering,2022,44(4):561-572.
[4] YU B Y,ZHAO Z H,ZHANG S,et al.Technological development pathway for a low-carbon primary aluminum industry in China[J].Technological Forecasting and Social Change,2021,173:121052.DOI:10.1016/j.techfore.2021.121052.
[5] 许国栋，敖宏，佘元冠.可持续发展背景下世界铝工业发展现状、趋势及我国的对策[J].中国有色金属学报，2012,22(7):2040-2051.XU G D,AO H,SHE Y G.The development status and trend of world aluminum industry under the background of sustainable development and China′s countermeasures[J].The Chinese Journal of Nonferrous Metals,2012,22(7):2040-2051.
[6] LEI Y X,KARIMI H R,CHEN X F.A novel self-supervised deep LSTM network for industrial temperature prediction in aluminum processes application[J].Neurocomputing,2022,502:177-185.
[7] CHEN C,LI J,LUO R M,et al.Abinitio molecular dynamics study on microstructure and diffusion properties of CaF2-2.2NaF-AlF3 system[J].Chemical Physics,2021,550:111294.DOI:10.1016/j.chemphys.2021.111294.
[8] ZHANG H L,LI T S,LI J,et al.Progress in aluminum electrolysis control and future direction for smart aluminum electrolysis plant[J].JOM,2017,69(2):292-300.
[9] WAN X X,CEN L H,CHEN X F,et al.A novel multiple temporal-spatial convolution network for anode current signals classification[J].International Journal of Machine Learning and Cybernetics,2022,13(11):3299-3310.
[10] 赵志彬，陶绍虎，刘伟，等.大型预焙铝电解槽内氧化铝浓度分布的数值模拟与工业测量分析[J].轻金属，2019(6):20-24.ZHAO Z B,TAO S H,LIU W,et al.Numerical simulation and industrial measurement analysis of alumina concentration distribution in large prebaked aluminum reduction cells[J].Light Metals,2019(6):20-24.
[11] 桂卫华，岳伟超，谢永芳，等.铝电解生产智能优化制造研究综述[J].自动化学报，2018,44(11):1957-1970.GUI W H,YUE W C,XIE Y F,et al.Review of intelligent optimization manufacturing in aluminum electrolysis production[J].Acta Automation Sinica,2018,44(11):1957-1970.
[12] 李劼，罗若木，彭晨，等.铝电解数字孪生体构建及应用研究[J].中南大学学报(自然科学版),2023,54(2):710-719.LI J,LUO R M,PENG C,et al.Research on the construction and application of aluminum electrolysis digital twin[J].Journal of Central South University(Science and Technology),2023,54(2):710-719.
[13] RAN L,WANG Q,LI J,et al.Improved CFD modeling of the whole-cell side ledge behavior in aluminum electrolysis cell[J].Metallurgical and Materials Transactions B,2023,54(3):1122-1130.
基本信息:
中图分类号:TF821
引用信息:
[1]杜善周,黄涌波,鲁绍杰,等.基于分布式感知的氧化铝浓度动态仿真[J].有色金属(冶炼部分),2023(11):26-32.
基金信息:
国家重点研发计划项目(2022YFB3304902); 国家自然科学基金联合基金资助项目(U2202253);国家自然科学基金重点基金资助项目(62133016,51974373); 云南省重大科技专项计划项目(202202AB080017); 国家能源投资集团有限公司科研项目(GNJT-21-160); 中南大学2023年度前沿交叉项目(2023QYJC007)
2023-10-19
2023-10-19