DEVELOPMENT OF A DECISION SUPPORT TOOL TO MEASURE AND MANAGE GREENHOUSE GASES (GHGs) EMISSION FROM THE MINING INDUSTRY
DEVELOPMENT OF A DECISION SUPPORT TOOL TO MEASURE AND MANAGE GREENHOUSE GASES (GHGs) EMISSION FROM THE MINING INDUSTRY
批准号:
485954-2015
负责人:
Chen, Zhi
金额:
$1.82万
依托单位:
依托单位国家:
加拿大
项目类别:
Engage Grants Program
财政年份:
2015
资助国家:
加拿大
项目状态:
已结题
起止时间:
2015-01-01 至 2016-12-31
中文摘要
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英文摘要
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.
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项目类别:Discovery Grants Program - Individual
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依托单位:
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国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
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批准号:--
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项目类别:合作创新研究团队
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资助金额:--
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批准年份:2024
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负责人:姚韬
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依托单位: