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 Boyaghchi , Hanieh Molaie

DOI: 10.1016/J.ENERGY.2015.10.094

关键词: MathematicsExergyTurbineMass flow rateParametric statisticsStatisticsCombined cycleEvolutionary algorithmWaste managementOverall pressure ratioMulti-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

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