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Renewable energy and fuel cells design and optimization ideas for integrated systems

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DOI: 10.23977/ssge.2024.060104 | Downloads: 22 | Views: 227

Author(s)

Feng Gao 1

Affiliation(s)

1 School of Chemical and Environmental Engineering, China University of Mining and Technology (Beijing), Beijing, 100083, China

Corresponding Author

Feng Gao

ABSTRACT

With the growing global demand for clean energy, the integration technology of renewable energy and fuel cell systems has attracted much attention as a new type of energy conversion method. This paper systematically discusses the system design, optimization and performance evaluation methods under different integration methods. Combined with the current research status and market demand in the world, this paper puts forward the system optimization and evaluation ideas of adopting dynamic adaptive control strategy, multi-scale mathematical modeling, machine learning-based system optimization and coupled system optimization, which provide important theoretical guidance and practical reference for promoting the development and application of clean energy technology. The system optimization and evaluation ideas of machine learning-based system optimization and coupled system optimization are presented.

KEYWORDS

Energy, fuel cell, system optimization, machine learning

CITE THIS PAPER

Feng Gao, Renewable energy and fuel cells design and optimization ideas for integrated systems. Smart Systems and Green Energy (2024) Vol. 6: 26-31. DOI: http://dx.doi.org/10.23977/ssge.2024.060104.

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