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 (?AC), GT isentropic efficiency (?GT), 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.
A two-stage approach for combined heat and power economic emission dispatch: Combining multi-objective optimization with integrated decision making
