激光与现代能源

IF 1 Q4 OPTICS
V. E. Privalov, V. G. Shemanin
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引用次数: 0

摘要

摘要 绿色能源需要清洁氢气。它可以通过水电解法获得,但这种方法在能源方面并不划算。解决了氢的储存问题,就有可能将其用作汽车燃料。激光在狭窄的燃料电池中占有一席之地。在此之前,曾有人提议将波长与水分子振动激发水平相对应的激光辐射引入反应区,以提高能量效率。此外,地球上的所有过程都应考虑到氢脱气,即氢从地球逃逸到大气中。因此,激光是寻找氢从地表逸出位置的最合适工具。本文建议使用拉曼激光雷达对氢分子泄漏到大气中的过程进行激光遥感。根据拉曼激光雷达方程计算机模拟在最远 100 米测距范围内的结果表明,其参数优化将降低大气中氢分子的可探测浓度值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Lasers and Modern Energy

Lasers and Modern Energy

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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来源期刊
CiteScore
1.50
自引率
11.10%
发文量
25
期刊介绍: The journal covers a wide range of issues in information optics such as optical memory, mechanisms for optical data recording and processing, photosensitive materials, optical, optoelectronic and holographic nanostructures, and many other related topics. Papers on memory systems using holographic and biological structures and concepts of brain operation are also included. The journal pays particular attention to research in the field of neural net systems that may lead to a new generation of computional technologies by endowing them with intelligence.
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