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Erschienen in: Optical Memory and Neural Networks 1/2024

01.03.2024

Lasers and Modern Energy

verfasst von: V. E. Privalov, V. G. Shemanin

Erschienen in: Optical Memory and Neural Networks | Ausgabe 1/2024

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Abstract

The clean hydrogen is needed for green energy. It can be obtained by the water electrolysis, which is energetically unprofitable. The problem of hydrogen storage solution made it possible to use it as an automobile fuel. There was a place for the laser in the cramped fuel cell. Previously, it was proposed to introduce laser radiation with the wavelengths corresponding to the water molecule vibrational levels excitation into the reaction zone to increase energy efficiency. In addition, all processes on the Earth should be considered taking into account hydrogen degassing, that is, the hydrogen escape from the Earth into the atmosphere. And so the laser is the most suitable tool for finding places where the hydrogen exits to the surface. In this paper, it is proposed to use the Raman lidar for laser remote sensing of the hydrogen molecules during its leaks into the atmosphere. Based on the results of the Raman lidar equation computer simulation in the range of ranging distances up to 100 m, it is shown that its parameters optimization will reduce the values of detectable concentrations of the hydrogen molecules in the atmosphere.

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Metadaten
Titel
Lasers and Modern Energy
verfasst von
V. E. Privalov
V. G. Shemanin
Publikationsdatum
01.03.2024
Verlag
Pleiades Publishing
Erschienen in
Optical Memory and Neural Networks / Ausgabe 1/2024
Print ISSN: 1060-992X
Elektronische ISSN: 1934-7898
DOI
https://doi.org/10.3103/S1060992X24010090

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