DEVELOPMENT OF A DECISION SUPPORT TOOL TO MEASURE AND MANAGE GREENHOUSE GASES (GHGs) EMISSION FROM THE MINING INDUSTRY

包括温室气体在内的空气排放量一直受到严格审查，新的排放上限贯穿加拿大。包括采矿、石油和水泥行业在内的行业正面临进一步优化或扩展其系统并减少排放的重大挑战。采矿作业排放各种污染物和温室气体，必然对当地和区域生态系统产生重大影响。在这个项目中，我们提出了新的系统工程分析工具，以生成减少温室气体的优化解决方案，并将其实际应用于采矿业。拟议的研究与加拿大矿业公司合作，开发定制的生命周期评估（LCA）和优化模型（OM）被认为是一个创新的研发任务，以支持采矿活动的决策。黄金开采生命周期评价包括四个阶段：目标与范围、采矿业温室气体生命周期清单分析、影响评价和解释。在生命周期评估阶段量化的环境负担和影响代表了对新优化模型的输入，以生成和检查采矿中不同操作场景的理想、可接受和可容忍的排放场景，即，最小排放量、最大可能产量以及模型的最佳建议。还将在加拿大一家采矿公司的工程师参与下开发和测试图形用户界面。

Air emissions including greenhouse gases have been under critical examination with the new emission caps through Canada. Industries including mining, petroleum, and cement sectors are facing the major challenges to further optimize or extend their systems and reduce emissions. Mining operations emit various types of pollutants and greenhouse gases that must have significant impacts on both local and regional ecosystems. In this project, we propose novel systems engineering analysis tools to generate optimized solutions for reduction of greenhouse gases with practical application to mining sector. The proposed research collaborates with a Canadian mining company to develop a customized life cycle assessment (LCA) and optimization model (OM) considered as an innovative R&D task to support decisions in mining activities. LCA of gold mining comprises of four phases Goal and Scope, life cycle inventory analysis for greenhouse gases in mining sector, impact assessment and interpretation. The environmental burdens and impacts quantified at stage of LCA, represent an input into a new optimization model to generate and examine desirable, acceptable, and tolerable emission scenarios for different operation scenarios in mining, i.e., the least emission, the maximum possible production, and the optimal suggestions from the model. A graphic user interface will also be developed and tested with the involvement of engineers in a Canadian mining company.