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        검색결과 4

        1.
        2013.09 KCI 등재 서비스 종료(열람 제한)
        In this study, “Recycling of ladle furnace slag (LFS) in the electric furnace process to produce ultra rapid harding cement” is the target technology. Environmental and economic efficiencies of target technology are analyzed and ecoefficiency is assessed based on these results. The methodologies to analyze environmental and economic efficiencies are LCA (Life Cycle Assessment) and market price which is calculated based on LCC (Life Cycle Costing), respectively. Global warming potential (GWP) and abiotic resource depletion (ARD) are selected as indicator of environmental analysis. The reference flow of this study is considered 1kg of ultra rapid harding cement which made from the LFS. As a result of that, target process has environmental efficiency of 13.1 for global warming and 5.93 for abiotic resource depletion and has economic efficiency of 4.86. Eco-efficiencies are derived from this study can be applied to slag recycling policy formulation and effect analysis in the future. This can be also applied to improve process’s environmental and economic performances.
        2.
        2013.07 KCI 등재 서비스 종료(열람 제한)
        Through industrial developing, electronic waste is occurred by short lifespan of electronic products. This study discusses an approach of the eco-efficiency for waste PCB (Printed Circuit Board) recycling process through environment and economic analysis. The recycling of waste PCB 1 kg has 1.89E + 00kg CO2 eq. of global warming potential and 2.84E −02 kg antimony eq. of abiotic resource depletion. In terms of economy, this process costs 6,601.91 KRW per 1kg waste PCB recycling. Use of economic and environmental result, when compare with same amounts of virgin metal, environmental-efficiency of GWP (Global Warming Potential) is at 4.16E + 00 and ARD(Abiotic Resource Depletion) is at 2.91E + 00. And compare with secondary metal, environmental-efficiency of GWP is at 2.11E + 00 and ARD is at 8.49E − 01. In addition economic-efficiency is at 1.19E + 00. The results of optimization of this process will be increased. This study will show the process economical and environmental decision making