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。在大部分铝生产完成的魁北克省，铝的初级生产提供了3万个直接和间接的就业机会。提高能源效率（kWh/kg [Al]）和减少原材料消耗（主要是kg [C]/kg [Al]）是冶炼厂保持运营和减少环境足迹的关键。目前的项目建立在拉瓦尔大学和美国铝业公司的长期合作基础上。它的重点是开发铝生产关键工艺的先进模型。模型被工业广泛使用，以改善铝制造工艺和设备的性能。根据目前的文献差距和行业需求，选择了四个建模优先级：阴极设计：开发集成蠕变，扩散和侵蚀的热机电模型，以优化其整个生命周期的设计；-阳极焙烧：开发阳极焙烧炉的数字孪生模型，实现炉体实时优化；-振动压实：开发考虑高频和与模具摩擦的流变模型，以及阳极成形模型；-阳极反应性：开发现场三维阳极反应性模型，包括地壳的存在。将使用不同的实验装置来获取校准和验证模型的数据。结果将有助于该行业改进他们的流程和他们使用的设备。