Advanced exergy and environmental analyses and multi objective optimization of a real combined cycle power plant with supplementary firing using evolutionary algorithm
作者: Fateme Ahmadi BoyaghchiHanieh Molaie
作者单位: 1Department of Mechanical Engineering, Faculty of Engineering & Technology, Alzahra University, Deh-Vanak, Tehran, Iran
刊名: Energy, 2015, Vol.93 , pp.2267-2279
来源数据库: Elsevier Journal
DOI: 10.1016/j.energy.2015.10.094
关键词: Advanced exergyCCPP (combined cycle power plant)OptimizationAvoidable exergy destruction rateCO 2 emissionsNSGA-II (Non-dominated Sort Genetic Algorithm-II)
英文摘要: Abstract(#br)This paper deals with an advanced exergy analysis and optimization of a real CCPP (combined cycle power plant) with DBs (duct burners) located in Iran. The endogenous/exogenous exergy destruction parts of each component as well as their combinations with avoidable/unavoidable parts are determined. A parametric study is carried out to assess the sensitivity of total avoidable exergy destruction and CO 2 emission to TIT (turbine inlet temperature), compressor pressure ratio (r c ) and DB fuel mass flow rate ( m ˙ DB ). Parametric results reveal that the increments in TIT and r c improve the CO 2 emissions by about 6.8% and 17%, respectively and the total avoidable exergy destruction rate increases within 19% when r c is in the range of 9–14. In addition, NSGA-II...
全文获取路径: Elsevier  (合作)
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影响因子:3.651 (2012)

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关键词翻译
关键词翻译
  • evolutionary 进化
  • optimization 最佳化
  • supplementary 补充的
  • firing 点火
  • objective 接物镜
  • algorithm 算法
  • combined 组合
  • multi 多种
  • power 功率