Multi-objective optimization of a combined heat and power (CHP) cycle with a solar collector: energy, exergy and economic point of view

In this study, the effect of different parameters on the energy, exergy and economic analysis in a combined heat and power (CHP) cycle was investigated. The optimization was based on a defined target function, exergy efficiency and total cost rate based on functional modelling in both hot and cold climates. The temperature of the condenser, turbine and pinch and also mass fraction of the heating section were used to optimize the CHP cycle using genetic algorithms. The main goal is to increase the efficiency of the exergy and reduce its production costs. To increase the power, it is necessary to increase the inlet temperature to the turbine and reduce the condenser pressure. The results showed that based on the use of the heating section and increasing the mass fraction in this section, the cycle efficiency can be increased up to 21%, in which, the production power was calculated to be 6.4 kW. The findings also showed that by improving its performance, the solar sector can improve the exergy efficiency of the cycle by reducing the fuel flow rate.

Multi-objective optimization of a combined heat and power (CHP) cycle with a solar collector: energy, exergy and economic point of view Keywords:

combined heat and power cycle , Exergy Efficiency , Optimization , heating and cooling , Solar collector