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September 10, 2025International Journal of Low-Carbon TechnologiesOpen Access

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

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Authors

RAReza AlayiIslamic Azad University, Tehran YEYaser EbazadehIslamic Azad University, Tehran

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Implication

This analysis employs a multi-objective optimization to improve exergy efficiency in renewable energy production systems, integrating solar energy and hydrogen production.

Key Points

The optimal system design yields a maximum exergy efficiency of 8.2%, enhancing energy productivity.
Cost analysis reveals a system cost rate of $22.3/h, indicating economic viability for hydrogen production.
Improvements in collector area, solar radiation intensity, and turbine inlet temperature positively affect system performance.
Employing a fast, elitist genetic algorithm resolves multi-objective optimization challenges for design parameters.

Cite This Study

Alayi et al. (2025) studied this question.

synapsesocial.com/papers/68c1d7ee54b1d3bfb60f9dde https://doi.org/10.1093/ijlct/ctaf101

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Implication

This analysis employs a multi-objective optimization to improve exergy efficiency in renewable energy production systems, integrating solar energy and hydrogen production.

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

Discussion

Member takes

Implication

Key Points

Cite This Study

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

Discussion

Member takes

Implication

Key Points

Cite This Study

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