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In-depth exergoeconomic analysis and optimization of a solar-wind hybrid trigeneration system for green hydrogen, power, and cooling

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Date

2025

Author

Khalid, Faizan
Suhail, Syed Abuzar
Akbulut, Uğur

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Citation

Khalid, F., Suhail, S. A., & Akbulut, U. (2025). In-depth exergoeconomic analysis and optimization of a solar-wind hybrid trigeneration system for green hydrogen, power, and cooling. International Journal of Hydrogen Energy. https://doi.org/10.1016/j.ijhydene.2025.01.131

Abstract

This study presents a detailed Exergoeconomic Analysis and Optimization of a favorable solar-wind hybrid trigeneration system that produces green hydrogen, power, and cooling. In this context, a mathematical model specific to the presented system was created and the process steps were defined. The study uses a sophisticated technique to assess potential future enhancement strategies while taking the system's functionality and financial feasibility into account. Exergoeconomic analysis is conducted using the Specific Exergy Costing (SPECO) approach. For the purpose of discovering Multiple Criteria Decision Analysis (MCDA) for optimization, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is preferred. Additionally, the energetic, exergetic and ecological efficiencies, and environmental impact, coupled with the Levelized Cost of Electricity (LCOE). Characteristically, the system lifetime and annual runtime have an exponential effect on the cost rates, as with their increase, the cost rates drop exponentially, but it shows a linear increase with the increment of the interest rate. The heliostat system, with 53% exergy destruction and an fc value of 84.5, requires efficiency improvement and capital cost reduction. The VCR system (18%) and HRSG (15%) are the next largest sources of energy destruction, with fc values of 9.7% and 86.7%, respectively. The VCR system is reasonably priced, but its effectiveness should be improved, and HRSG should be less expensive, according to the data above. Based on the analysis, it is determined that while wind turbine variation has a minimal impact on efficiency values, but DNI has an effect on LCOE. As the result of TOPSIS optimization energy optimization is ranked first, followed by ecological efficiency, exergy efficiency and environmental efficiency ranked the lowest.

Source

International Journal of Hydrogen Energy

URI

https://doi.org/10.1016/j.ijhydene.2025.01.131
https://hdl.handle.net/11436/9978

Collections

  • Makine Mühendisliği Bölümü Koleksiyonu [329]
  • Scopus İndeksli Yayınlar Koleksiyonu [5931]



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