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Advanced exergy and exergoeconomic analyses and multi-objective optimization of geothermal-driven organic flash cycles

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  • Ghiami Sardroud, Ramin
  • Babaei Khuyinrud, Mohammadreza
  • Nami, Hossein

Abstract

Decentralized, renewable-driven power plants are essential for balancing the electricity grid. Additionally, geothermal energy offers a reliable source of green power to meet local demand. This study explores power generation potential using two geothermal-driven organic flash cycles: the basic organic flash cycle (BOFC) and the dual flash organic flash cycle (DFOFC). These systems are modeled thermodynamically in detail at the component level. The impact of non-ideal component integration on different types of irreversibilities within each component and the entire plant is also understood through the application of advanced exergy analysis. Furthermore, exergoeconomic principles are utilized to evaluate the economic performance of systems. A Greywolf-based multi-objective optimization minimizes the total investment costs while maximizing energy and exergy efficiencies. Compared with base case scenario, optimization procedure improves the energy/exergy efficiency of the GBOFC and GDFOFC plants using R245fa by 26.5 %/18.1 % and 24.4 %/17.9 %, respectively. Moreover, the total investment cost rates of the GBOFC and GDFOFC plants decreased by 27.2 % and 25.8 %, respectively. Furthermore, advanced exergoeconomic analysis identifies the rates of avoidable endogenous exergy destruction cost for the GBOFC and GDFOFC plants as 0.42 and 0.49 $/h, respectively. Moreover, optimization results revealed that R1233zd(E) is an appropriate alternative for R245fa with a lower GWP and ODP.

Suggested Citation

  • Ghiami Sardroud, Ramin & Babaei Khuyinrud, Mohammadreza & Nami, Hossein, 2025. "Advanced exergy and exergoeconomic analyses and multi-objective optimization of geothermal-driven organic flash cycles," Renewable Energy, Elsevier, vol. 243(C).
    • Handle: RePEc:eee:renene:v:243:y:2025:i:c:s0960148125002927
    DOI: 10.1016/j.renene.2025.122630
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    References listed on IDEAS

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