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  • 教授 博士生导师 硕士生导师
  • 所在单位:能源科学与工程学院
  • 职务:新能源科学与工程系主任
  • 学历:博士研究生毕业
  • 办公地点:中南大学 能源科学与工程学院
  • 性别:
  • 联系方式:邮箱:gangliu@csu.edu.cn 微信:27335649
  • 学位:博士学位
  • 在职信息:在职
  • 毕业院校:Central Queensland University
论文成果
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Thermodynamic multi-objective optimization of a solar-dish Brayton system based on maximum power output, thermal efficiency and ecological performance
  • 点击次数:
  • DOI码:10.1016/j.renene.2016.04.052
  • 发表刊物:RENEWABLE ENERGY
  • 关键字:Solar-dish brayton system; Multi-objective optimization; NSGA-II; Decision making
  • 摘要:A hierarchical structural decomposition analysis (SDA) model has been developed based on process-level input-output (I-O) tables to analyze the drivers of energy consumption changes in an integratedsteel plant during 2011-2013. By combining the principle of hierarchical decomposition into D&L method, a hierarchical decomposition model for multilevel SDA is obtained. The developed hierarchical IO-SDA model would provide consistent results and need less computation effort compared with the traditional SDA model. The decomposition results of the steel plant suggest that the technology improvement and reduced steel final demand are two major reasons for declined total energy consumption. The technical improvements of blast furnaces, basic oxygen furnaces, the power plant and the by-products utilization level have contributed mostly in reducing energyconsumption. A major retrofit of ancillary process units and solving fuel substitution problem in the sinter plant and blast furnace are important for further energy saving. Besides the empirical results, this work also discussed that why and how hierarchical SDA can be applied in a process-leveldecomposition analysis of aggregated indicators.
  • 论文类型:期刊论文
  • 学科门类:工学
  • 一级学科:动力工程及工程热物理
  • 卷号:95
  • 页面范围:465-473
  • ISSN号:0960-1481
  • 是否译文:
  • 发表时间:2016-09-29
  • 收录刊物:SCI
  • 发布期刊链接:http://apps.webofknowledge.com/full_record.do?product=UA&search_mode=GeneralSearch&qid=5&SID=7A7Mqq1CXLBGx3fkXrD&page=1&doc=1