Artificial Intelligence Prediction Tool for Hydrogen Production from Renewable Energy Aimed at Reducing the Impact on the Environment

Hydrogen production from renewable energy sources is a sustainable idea both in the field of energy storage and for environmental protection. Still, the fluctuations of production levels can become an impediment and may attract risks or additional production costs. In order to predict hydrogen produ...

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Veröffentlicht in:E3S web of conferences 2024, Vol.589, p.5001
Hauptverfasser: Deák, Gyorgy, Ghiţă, Octavian Mihai, Monica, M., Dumitrescu, Cătălin, Bănică, Cosmin-Karl, Noor, Norazian Mohamed
Format: Artikel
Sprache:eng
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Zusammenfassung:Hydrogen production from renewable energy sources is a sustainable idea both in the field of energy storage and for environmental protection. Still, the fluctuations of production levels can become an impediment and may attract risks or additional production costs. In order to predict hydrogen production from such sources, an Artificial Intelligence prediction tool was implemented as a measure of control for future forecasts and evolutions. In the reason of resilience for further developments, this tool was made in the LabVIEW programming environment, using the easy but also capable graphical programming language. The results of this work found a periodically fluctuations in the hydrogen production but a general stability of the hydrogen marketplace. Into account of the further development of the clean energy to protect the environment, the use of hydrogen from renewable energy can be found as a good strategy.
ISSN:2267-1242
2267-1242
DOI:10.1051/e3sconf/202458905001