硼在未来能源技术中的重要性

IF 3.3 3区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Journal of Artificial Intelligence and Soft Computing Research Pub Date : 2022-12-25 DOI:10.55195/jscai.1216892
Fatih Arlı
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引用次数: 0

摘要

硼元素形成了600多种不同元素根的化合物,表现出非常不同的性质。这些不同性质的硼化合物满足了能源、结构、化学、武器和航天等行业的目标标准以上的需求,当是世界上最重要的战略特征。今天,由于化石能源资源的减少,工业无法为整个设施储存足够的电力,以及环境政策的限制,发达国家的工业已经开始利用这些能源。发展中国家继续使用化石资源,但健康和环境成本正在增加。无论是发达国家还是发展中国家,都重视能够替代化石能源系统、环境友好、可持续、高性能的能源系统的研究。硼在能量领域具有重要的作用,如隔离、高能值保持、燃料和离子电池、太阳能电池板和高温晶体管等。在本研究中,考虑到硼对能源市场的积极影响,探讨了能源研究中硼化合物的期望性质。
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Boron's Critical Importance in Future Energy Technologies
The boron element forms more than 600 compounds with different element roots and shows very different properties. Boron compounds with these different properties have deserved to be the most important strategic feature in the world as they meet the demands above the targeted standards in industries such as energy, structure, chemistry, weapons and space. Today, the industries of developed countries have begun to take advantage of these energy sources due to the reduction of fossil energy resources, the inability of the industry to store enough electricity for an entire facility, and the limitations imposed on environmental policies. Developing countries continue to use fossil resources, but health and environmental costs are increasing. Whether they are developed countries or developing countries, they have attached importance to the research of energy systems that are capable of replacing fossil energy systems, which are environmentally friendly, sustainable, and have high performance. Boron has an important role in the energy field for the isolation, high energy value retention, fuel and ion batteries, solar panels and high-temperature transistors. In this study, the desired properties of boron compounds in energy studies were investigated by considering the positive effects of boron on the energy market.
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来源期刊
Journal of Artificial Intelligence and Soft Computing Research
Journal of Artificial Intelligence and Soft Computing Research COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
7.00
自引率
25.00%
发文量
10
审稿时长
24 weeks
期刊介绍: Journal of Artificial Intelligence and Soft Computing Research (available also at Sciendo (De Gruyter)) is a dynamically developing international journal focused on the latest scientific results and methods constituting traditional artificial intelligence methods and soft computing techniques. Our goal is to bring together scientists representing both approaches and various research communities.
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