吸附和储存 - - 一个计算模型的方法
Harshit Mittal1, Omkar Singh Kushwaha2, Mallikarjuna Nadagouda3
1Center for Energy and Environment, School of Advanced Sciences, KLE Technological University, Hubballi, Karnataka, 580 031, India; University School of Chemical Technology, Guru Gobind Singh Indraprastha University, Dwarka, Delhi, 110 078, India.
Environmental research
|July 14, 2024
概括
复杂化物为不断增长的经济提供可靠的储存,这对清洁能源至关重要. 这项研究引入了一个模型来分析的储存和吸附在酸盐和化等材料.
科学领域:
- 材料科学 材料科学 材料科学
- 化学工程是化学工程的重要组成部分.
- 储能 储能 储能 储能 储能 储能
背景情况:
- 全球能源转型需要先进的储能解决方案来减轻碳排放.
- 复杂化物正在成为燃料电池中安全高效的运输和利用的关键材料.
- 绿色对于开发可持续的能源一体化系统至关重要.
研究的目的:
- 提出并验证用于预测和分析复杂化物中储存和吸附的输入输出模型.
- 对各种复杂化物进行比较分析,包括和的酸,胺和化物.
- 探索这些材料在储存中的应用,特别是在水生环境中.
主要方法:
- 开发用于储和吸附的预测输入输出模型.
- 复杂化物 (阿兰酸盐,胺,化物) 的比较分析.
- 用于储能评估的体积计和重量计计算.
主要成果:
- 拟议的模型有效地预测和分析的储存和吸附能力.
- 比较数据突出显示了不同复杂化物在应用中的性能.
- 确定在水体中储存的潜在应用.
结论:
- 复杂化物是有效储存和运输的有希望的材料,支持经济.
- 开发的模型为能能源应用中的材料选择和系统设计提供了有价值的工具.
- 进一步研究工业扩展,经济可行性和工厂设计是有必要的.
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