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Current status and future trends for material flow analysis applications at CSC
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作者 wu chihcheng LIN Hsunyu 《Baosteel Technical Research》 CAS 2010年第S1期129-,共1页
Material Flow Analysis(MFA) is a crucial instrument for sustainable development and creating industrial ecology system.MFA studies could balance and analyze the sources,flows,and consumes of specific materials or subs... Material Flow Analysis(MFA) is a crucial instrument for sustainable development and creating industrial ecology system.MFA studies could balance and analyze the sources,flows,and consumes of specific materials or substances.The results of MFA studies could support the strategies or decisions making for energy, resource,and waste management,especially achieving sustainable resource management.At CSC,the dynamic simulating software,STELLA,is used to develop a MFA model for scenario analysis.CSC also uses the freeware STAN 2.0 as a tool for visualizing and simulating material flows and stocks.Case studies of greenhouse gases MFA for integrated steel works are conducted.The results showed that the carbon content of hot-metal is an important hidden flow for balance analysis,and the different GHG emission scenarios and mitigation action scenarios are assessed.In addition,the Iron-making GHG I/O MFA Model,based on worldsteel Global Steel Sector Approach(GSSA),is developed for calculating the CO_2 and energy intensity of coke making,sintering,and BF processes.This MFA model was used to analyze the CO_2 reduction potential for iron-making process.The cases conducted for MFA applications at CSC were such as greenhouse gas,zinc,etc.In the future,CSC is going to develop a 'CSC Environment Management and Decision Supporting System' which combine MFA,LCA(life cycle assessment),and environment risk assessment.This supporting system expects to promoting energy efficiency and best resource use,supporting environment policymaking,creating environmental information value,etc. 展开更多
关键词 material flow analysis(MFA) greenhouse gas hidden flow environmental policy decision scenario analysis
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