TY - JOUR
TI - Optimization of micro combined heat and power gas turbine by genetic algorithm
AU - Yazdi Behnam Ahrar
AU - Yazdi Behdad Ahrar
AU - Ehyaei Mehdi Ali
AU - Ahmadi Abolfazl
JN - Thermal Science
PY - 2015
VL - 19
IS - 1
SP - 207
EP - 218
PT - Article
AB - In this paper, a comprehensive thermodynamic modeling and multi-objective  optimization of a micro turbine cycle in combined heat and power generation,  which provides 100KW of electric power. This CHP System is composed of air  compressor, combustion chamber (CC), Air Preheater, Gas Turbine (GT) and a  Heat Recovery Heat Exchanger. In this paper, at the first stage, the each  part of the micro turbine cycle is modeled using thermodynamic laws. Next,  with using the energetic and exergetic concepts and applying economic and  environmental functions, the multi-objectives optimization of micro turbine  in combined heat and power generation is performed. The design parameters of  this cycle are compressor pressure ratio (rAC), compressor isentropic  efficiency (ηAC), GT isentropic efficiency (ηGT), CC inlet temperature (T3),  and turbine inlet temperature (T4). In the multi-objective optimization three  objective functions, including CHP exergy efficiency, total cost rate of the  system products, and CO2 emission of the whole plant, are considered.  Theexergoenvironmental objective function is minimized whereas power plant  exergy efficiency is maximized usinga Genetic algorithm. To have a good  insight into this study, a sensitivity analysis of the result to the fuel  cost is performed. The results show that at the lower exergetic efficiency,  in which the weight of exergo-environmental objective is higher, the  sensitivity of the optimal solutions to the fuel cost is much higher than the  location of the Pareto Frontier with the lower weight of exergo-environmental  objective. In addition, with increasing exergy efficiency, the purchase cost  of equipment in the plant is increased as the cost rate of the plant  increases.