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Modelling and control of a hybrid renewable energy based hydrogen and electricity production and storage systems

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  • Reza Alayi
  • Yaser Ebazadeh

Abstract

This research investigated a hybrid renewable energy system that integrates solar and oceanic thermal energy to produce electricity and hydrogen through the utilization of a flat plate solar collector. The influence of these parameters on system performance and exergy degradation was analysed. A multi-objective optimization method based on a fast and elitist nondominated sorting genetic algorithm is applied to determine the best design parameters for the system. The findings of the multi-objective optimization indicated that the optimal rate of system exergy efficiency was 8.2%, while the system cost rate was determined to be $22.3/h. Sensitivity analysis demonstrated that enhancements in collector area, solar radiation intensity, and turbine inlet temperature exerted a beneficial influence on system performance.

Suggested Citation

  • Reza Alayi & Yaser Ebazadeh, 2025. "Modelling and control of a hybrid renewable energy based hydrogen and electricity production and storage systems," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 20, pages 1544-1553.
    • Handle: RePEc:oup:ijlctc:v:20:y:2025:i::p:1544-1553.
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    File URL: http://hdl.handle.net/10.1093/ijlct/ctaf101
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