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。在魁北克省，大部分生产都在那里完成，铝的初级生产支持了30，000个直接和间接的工作岗位。提高能源效率（kWh/kg [Al]）和降低原材料消耗（主要是kg [C]/kg [Al]）是保持冶炼厂运行并减少其环境足迹的关键。本项目建立在拉瓦尔大学和ALcoa之间的长期合作基础上。它专注于开发铝生产中涉及的关键工艺的先进模型。模型被工业界广泛用于改善铝制造工艺和设备性能。根据目前文献中的空白和行业的需求，选择了四个建模优先事项：-阴极设计：开发热机电模型，将蠕变，扩散和侵蚀集成在一起，以优化设计，考虑其整个寿命。阳极焙烧：开发一个阳极焙烧炉的数字孪生模型，用于实时炉优化;-振动压实：开发考虑高频和与模具摩擦的流变模型，以及阳极成型模型;-阳极反应性：开发现场3D阳极反应性模型，包括地壳的存在。不同的实验设置将用于获取数据，用于校准和验证模型。研究结果将有助于该行业改进其工艺和设备。