Exergy analysis and optimisation of a hybrid solar-geothermal power plant

Abstract

The present study aims at the energy, exergetic, exergoeconomic, exergoenvironmental analysis of a hybrid solar-geothermal power plant. In addition, the emergy-based approach based on exergoeconomic and exergoenvironmental analysis has been performed. Genetic programming and artificial neural networks have been used to generate correlations for objective functions to reduce computational time. Advanced exergy, exergoeconomic, and exergoenvironmental analyses have been done to evaluate the system better based on exogenous/endogenous and avoidable/unavoidable parts of exergy destruction. Thermodynamic simulations have been verified with high accuracy with PetroSIM software and reference data. Results analysis show that the proposed cycle produces about 59.2 MW of net power.