化工学报

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面向节能降耗的氧化铝蒸发过程优化研究进展

方双(), 李勇刚, 韩洁(), 阳春华, 桂卫华   

  1. 中南大学自动化学院,湖南 长沙 410083
  • 收稿日期:2025-09-01 修回日期:2025-10-24 出版日期:2025-11-25
  • 通讯作者: 韩洁
  • 作者简介:方双(1993—),女,博士研究生,shuang.fang@csu.edu.cn
  • 基金资助:
    国家自然科学基金项目(62473383);国家自然科学基金项目(62394340);中南大学研究生科研创新项目(2023zzts139);湖南省研究生创新基金项目(CX20230221)

A review of optimization advances in the alumina evaporation process oriented toward energy conservation and consumption reduction

Shuang FANG(), Yonggang LI, Jie HAN(), Chunhua YANG, Weihua GUI   

  1. School of Automation, Central South University, Changsha 410083, Hunan,China
  • Received:2025-09-01 Revised:2025-10-24 Online:2025-11-25
  • Contact: Jie HAN

摘要:

蒸发过程作为氧化铝生产工艺中的高能耗单元,已成为制约行业节能降耗、绿色转型的关键环节。本文对其进行系统性研究有助于从多维度统筹能量利用模式与过程调控机制,明确节能优化路径,从而为氧化铝蒸发过程的节能降耗和工艺提升提供科学依据。首先,全面梳理了氧化铝的生产方式、蒸发作业流程及蒸发设备的发展演变,为理解其运行机理和节能潜力奠定了基础。随后,从工艺设备优化、工艺流程优化以及工艺参数优化三个层面构建分层分析框架,系统总结了该领域的优化技术演变规律和发展趋势。在此基础上,归纳总结了液位优化设定与汽水比优化这两类工程优化问题,并通过引入㶲分析理论与智能优化算法,揭示热力学理论与智能优化工具在节能降耗中的融合机制与应用模式。本文可为蒸发系统的节能方案制定、运行策略优化以及工程能效提升提供理论依据和技术借鉴,对推动氧化铝行业实现节能高效运行和绿色低碳转型具有重要意义。

关键词: 氧化铝蒸发过程, 节能降耗, 分层分析, 液位优化设定, 汽水比优化

Abstract:

As a highly energy-intensive unit in the alumina production process, the evaporation process has become a critical bottleneck restricting energy conservation, reducing energy consumption, and achieving the green transformation of the industry. This paper provides a systematic review of optimization efforts on the alumina evaporation process, which helps coordinate energy-utilization patterns and process-control mechanisms from multiple perspectives, clarify the pathways for energy-saving optimization, and thus provide a scientific basis for energy conservation and process improvement in alumina evaporation process. First, the production routes of alumina, the operating procedures of the evaporation section, and the evolution of evaporation equipment are comprehensively reviewed, laying a foundation for understanding the process mechanisms and identifying its energy-saving potential. Subsequently, a hierarchical analytical framework is established from three levels—process equipment optimization, process flow optimization, and process parameter optimization—to systematically summarize the evolution patterns and development trends of optimization technologies in this field. On this basis, two categories of engineering optimization problems, namely liquid level optimization setting and steam-to-water ratio optimization, are summarized. By introducing exergy analysis theory and intelligent optimization algorithms, the integration mechanisms and application modes of thermodynamic theory and intelligent optimization tools in energy conservation are revealed. This study provides a theoretical foundation and technical reference for developing energy-saving schemes, optimizing operational strategies, and improving engineering energy efficiency of evaporation systems, which is of great significance for promoting energy-efficient operation and green, low-carbon transformation in the alumina industry.

Key words: alumina evaporation process, energy conservation and consumption reduction, hierarchical analysis, liquid level optimization setting, steam-to-water ratio optimization

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