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

Authors: M. Moghaddam; M.H. Khoshgoftar Manesh; Ana M. Blanco Marigorta

Addresses: Energy, Environmental and Biological Systems Research Lab (EEBRlab), Division of Thermal Sciences and Energy Systems, Department of Mechanical Engineering, Faculty of Technology and Engineering, University of Qom, Qom, Iran ' Energy, Environmental and Biological Systems Research Lab (EEBRlab), Division of Thermal Sciences and Energy Systems, Department of Mechanical Engineering, Faculty of Technology and Engineering, University of Qom, Qom, Iran ' Department of Process Engineering, Universidad de Las Palmas de Gran Canaria, Edificio de Ingenierías-Tafira Baja, 35017, Las Palmas de Gran Canaria, Spain

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.

Keywords: solar; geothermal; exergetic; exergoeconomic; exergoenvironmental.

DOI: 10.1504/IJEX.2023.134284

International Journal of Exergy, 2023 Vol.42 No.1, pp.1 - 19

Received: 05 Jun 2022
Received in revised form: 20 May 2023
Accepted: 20 May 2023
Published online: 17 Oct 2023 *

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