Exergoeconomic and exergoenvironmental analysis and optimization of an integrated double-flash-binary geothermal system and dual-pressure ORC using zeotropic mixtures; multi-objective optimization

The current study focuses on proposing a double-flash geothermal system with a dual-pressure organic Rankine cycle that utilizes zeotropic mixtures. This system aims to harness the geothermal energy efficiently and sustainably. The performance of the system is evaluated using the exergy, exergoeconomic, and exergoenvironmental approaches, taking into account the utilization of different mass fractions of the R123/R142b mixture. The results of the analysis indicate that the designed system is capable of producing a net power output of 6336.04 kW with an exergetic efficiency of 66.70%. The payback period of the system is estimated to be 3.48 years, indicating its economic viability. Moreover, the electricity sale price has a substantial impact on the system's payback period and revenue, surpassing the influence of the geofluid purchase cost. Through the application of triple-objective optimization scenarios, the best optimum state of the system is determined to achieve a 66.96% exergetic efficiency, 3017.82 mPts/h exergoenvironmental impacts, and a payback period of 3.38 years. Furthermore, this state yields a revenue of 11.1 M$. Overall, the study highlights the potential of the proposed double-flash geothermal system with a dual-pressure organic Rankine cycle utilizing zeotropic mixtures for sustainable power generation.

Automated summary

The study proposes a double-flash geothermal system with a dual-pressure organic Rankine cycle utilizing zeotropic mixtures for efficient and sustainable geothermal energy harnessing. The system's performance is evaluated using exergy, exergoeconomic, and exergoenvironmental approaches. Results show that the designed system can produce a net power output of 6336.04 kW with an exergetic efficiency of 66.70%. The payback period is estimated to be 3.48 years, indicating economic viability. Through triple-objective optimization, the best optimum state is determined with an exergetic efficiency of 66.96%, exergoenvironmental impacts of 3017.82 mPts/h, and a payback period of 3.38 years. This state yields a revenue of 11.1 M$. Overall, the study highlights the potential of the proposed system for sustainable power generation.