作者: Fateme Ahmadi Boyaghchi , Hanieh Molaie
DOI: 10.1016/J.ENERGY.2015.10.094
关键词: Mathematics 、 Exergy 、 Turbine 、 Mass flow rate 、 Parametric statistics 、 Statistics 、 Combined cycle 、 Evolutionary algorithm 、 Waste management 、 Overall pressure ratio 、 Multi-objective optimization
摘要: Abstract This paper deals with an advanced exergy analysis and optimization of a real CCPP (combined cycle power plant) DBs (duct burners) located in Iran. The endogenous/exogenous destruction parts each component as well their combinations avoidable/unavoidable are determined. A parametric study is carried out to assess the sensitivity total avoidable CO2 emission TIT (turbine inlet temperature), compressor pressure ratio (rc) DB fuel mass flow rate ( m ˙ ). Parametric results reveal that increments rc improve emissions by about 6.8% 17%, respectively increases within 19% when range 9–14. In addition, NSGA-II (Non-dominated Sort Genetic Algorithm-II) applied obtain final solutions multi-objective CCPP. optimum value indicates 10.6% 8.3% improvements, respectively, relative base case. Furthermore, values decrease 1.7% 32.5%, 38% compared