Technology for a sustainable Canadian metals extraction industry

加拿大金属开采业可持续发展的技术

• 批准号: 5236-2007
• 负责人: Harris, Ralph
• 金额: $ 1.99万
• 依托单位: McGill University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2007
• 资助国家: 加拿大
• 起止时间: 2007-01-01 至 2008-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=365842
• 关键词: Technology; sustainable; Canadian; metals; extraction

There exists poor quantitative linkage between the science of technical-cost, physical and mathematical modeling and of life-cycle-analysis in the field of metals and materials processing. Nowadays, there is increasing emphasis on the drivers of climate change, notably energy consumption and concomitant greenhouse gas emissions. The metals resource industry, one of the largest consumers of energy and historically primarily driven by economics alone, needs to develop quantitative linkages between process performance and sustainability metrics.  In other words, the metals and materials processing industries need to closely examine and extend the analysis of their industrial ecology. By developing the mathematical relationships (linkages) that are proposed here, predictive sustainability impact models can be developed based on technical-cost, physical and mathematical models.  The resulting sustainability models may then be used to optimize existing technology not only from an economic point of view, but also from an environmental and social impact point of view.  Such sustainability models may also assist in identifying new materials processing opportunities by identifying possibilities that would be otherwise overlooked by business. To develop these quantitative linkages, it is necessary to exploit the tools of applied mathematics, in particular, the methods of discrete event dynamics and matrix factorization, coupled with sociological and economic models.  The resulting computational methodologies are intended to be applied to metals and materials processing operations and technologies. Laboratory experimental studies will be required to acquire data to refine the relationships and to test and validate the resulting models.  This cross-cognate approach will start from the applicant's current specialization in non-ferrous pyrometallurgy and then extend to novel applications such as advanced materials processing. Upon graduation and employment, students studying in this area will be able to contribute to improving Canada's economic, environmental and social sustainability by being able to chart optimum courses forward for their employers.

在金属和材料加工领域，技术成本、物理和数学建模科学与生命周期分析科学之间存在着定量联系。如今，人们越来越重视气候变化的驱动因素，特别是能源消耗和随之而来的温室气体排放。金属资源行业是最大的能源消费者之一，历史上主要由经济驱动，需要在工艺性能和可持续性指标之间建立定量联系。换句话说，金属和材料加工行业需要密切检查和扩展其工业生态分析。通过建立数学关系（联系），预测可持续性的影响模型，可开发基于技术成本，物理和数学模型。由此产生的可持续性模型可用于优化现有的技术，不仅从经济的角度来看，这种可持续性模型还可以通过识别可能性来帮助识别新材料加工机会，否则会被企业忽略的东西为了建立这些定量联系，有必要利用应用数学工具，特别是离散事件动力学和矩阵分解方法，再加上社会学和经济学模型，所产生的计算方法旨在应用于金属和材料加工作业和技术。将需要进行实验室实验研究，以获取数据，完善关系，并测试和验证由此产生的模型。这种交叉同源方法将从申请人目前的有色金属火法冶金专业开始，然后扩展到先进材料加工等新应用。毕业和就业后，在这一领域学习的学生将能够通过为雇主制定最佳课程，为改善加拿大的经济，环境和社会可持续性做出贡献。