Multi-objective Optimization of Geothermal Plant with Co-axial Heat Exchanger Associate Professor, Shahid Beheshti University, Mechanical & Energy Engineering Department

In this paper، optimization of heat exchangers of a geothermal power plant، based on genetic algorithm، has been studied. At first، the optimized inner to outer diameter ratio is calculated based on one-objective optimization function، for the pressure drop per unit length as well as the power plant thermal efficiency. Then، the multi-objective optimization is performed based on the geothermal power plant thermal efficiency and the cost of the geothermal components cost as two-objective functions. In this study، the cost of geothermal well piping installation and well depth estimation are considered. One-objective optimization results lead to optimized inner to outer diameter ratio of 0. 675 and 0. 353 for the least pressure drop and the maximum thermal efficiency respectively. The two-objective optimization parameters were identified in order to increase efficiency and reduce costs.