Development of advanced models for reducing energy and material consumption in the primary production of aluminium industry

开发降低铝工业初级生产能源和材料消耗的先进模型

• 批准号: 558287-2020
• 负责人: Gosselin, LouisL
• 金额: $ 9.13万
• 依托单位: Université Laval
• 依托单位国家: 加拿大
• 项目类别: Alliance Grants
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=754303
• 关键词: Development; advanced; models; reducing; energy

Canada is among the top world producers of primary aluminum, with close to 3 M ton of aluminum per year. In the province of Quebec, where most of the production is done, the primary production of aluminum supports 30,000 direct and indirect jobs. Improving energy efficiency (kWh/kg [Al]) and reducing raw materials consumption (mainly kg [C]/kg [Al]) are the key to keep smelters in operation and reduce their environmental footprint.The present project builds on a long-term collaboration between Université Laval and ALcoa. It is focused on the development of advanced models of key processes involved in aluminum production. Models are used extensively by the industry to improve the aluminum making process and the performance of equipment. Four modeling priorities have been chosen based on the current gaps in literature and on the needs of the industry: -Cathode design: Develop thermo-electromechanical models that integrate creep, diffusion and erosion to optimize the design considering its entire lifetime.;-Anode baking: Develop a digital twin model of an anode baking furnace for real-time furnace optimization;-Vibrocompaction: Develop rheological models that consider high frequencies and friction with mould, as well as anode forming models;-Anode reactivity: Develop in situ 3D anode reactivity models including the presence of the crust.Different experimental setups will be used to acquire data for calibrating and validating the models. Results will help the industry to improve their processes and the equipment that they use.

加拿大是世界上最大的原铝生产国之一，每年生产近 300 万吨铝，大部分生产都在魁北克省进行，铝的初级生产支持了 30,000 个直接和间接的就业机会。效率（kWh/kg [Al]）和减少原材料消耗（主要是 kg [C]/kg [Al]）是保持冶炼厂正常运行和减少环境足迹的关键。本项目建立在长期合作的基础上之间拉瓦尔大学和 ALcoa 专注于铝生产关键流程的先进模型的开发，该模型主要由行业用来改进铝制造流程和设备的性能。当前文献和行业需求方面的差距： -阴极设计：开发集成蠕变、扩散和腐蚀的热机电模型，以优化设计并考虑其整个寿命。 -阳极烘烤：开发阳极的数字孪生模型烘烤炉用于实时熔炉优化；-振动压实：开发考虑高频和模具摩擦的流变模型，以及阳极形成模型；-阳极反应性：开发原位 3D 阳极反应性模型，包括外壳的存在。不同的实验设置将用于获取数据以校准和验证模型，结果将帮助行业改进其流程和所使用的设备。