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  • 标题:Research on IFLP optimization model for carbon emission reduction
  • 本地全文:下载
  • 作者:Qiannan GUO
  • 期刊名称:MATEC Web of Conferences
  • 电子版ISSN:2261-236X
  • 出版年度:2019
  • 卷号:277
  • DOI:10.1051/matecconf/201927701009
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要:This study proposed an optimization model combined with Binding Interval Linear Programming (ILP) and Fuzzy linear programming (FLP) Methods and further analyzed from the views of economic output, energy consumption, carbon dioxide emission and emission cost. The optimization model results demonstrated that the heavy energy consumption industries will significantly reduce, and the target of the carbon dioxide emissions per unit of GDP reduction decrease by 40%-45% from 2005 to 2020. In addition, the economic development model will trend to optimize the allocation of resources and green economy. However, a single low-carbon economic policy will always have shortcomings and low efficiency in emission reduction. Hence, the government should combine all emission reduction policies together and establish a lowcarbon economy system that practice production activities need.
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