A design methodology of large-scale metal hydride reactor based on schematization for hydrogen storage

氢气储存 氢化物 比例(比率) 计算机科学 工艺工程 环境科学 金属 核工程 材料科学 工程类 冶金 化学 物理 有机化学 量子力学
作者
Zezheng Dong,Yong Wang,Haoran Wu,Xinan Zhang,Yue Sun,Yifan Li,Jingcai Chang,Zuoli He,Jinglan Hong
出处
期刊:Journal of energy storage [Elsevier BV]
卷期号:49: 104047-104047 被引量:37
标识
DOI:10.1016/j.est.2022.104047
摘要

Hydrogen storage is now the “bottleneck” to realise the application of hydrogen as renewable energy. This is because most metals can reversibly absorb hydrogen. Undoubtedly, a metal hydride reactor (MHR) is the core device used in achieving the desired stable and comprehensive performance of a hydrogen storage system. This study made significant efforts to outline a design methodology and acquired an optimised large-scale MHR (> 50 kg-MHs) for various applications. It mapped and analysed the MHR research progress in the past 20 years with the aid of CiteSpace, and formed a brief scientometric review from the start. Second, the priority in various applications was concluded in a few keywords to provide assistance to priorities adopted. By means of pre-set MH categories, sketch configurations, and the input/output path of the reaction heat and filling mode, the initial outline of the MHR was sketched reasonably by comparing and referring to wide outstanding findings. The following optimisation procedure would give designers/investigators a deep understanding of complex and multidisciplinary MHR wherein absorption and desorption, and the resultant heat and mass transport, pulverisation, self-densification, and stress characteristics were tightly coupled. Subsequently, anticipative results were obtained by designing and simulating the capacity, system gravimetric capacity, system volumetric capacity, and other core dynamic indices. This paper provides a unified design policy based on excellent reported results which could serve as a roadmap for the design of practical large-scale MHRs and is expected to be satisfied with different application scenarios.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
桃花源的瓶起子完成签到 ,获得积分10
刚刚
zhanjl13完成签到,获得积分10
1秒前
烟花应助Re采纳,获得10
2秒前
2秒前
小一一发布了新的文献求助10
3秒前
4秒前
4秒前
4秒前
5秒前
5秒前
追寻念云完成签到 ,获得积分10
6秒前
6秒前
6秒前
zxy完成签到,获得积分10
6秒前
7秒前
7秒前
脑洞疼应助笑傲江湖采纳,获得10
8秒前
8秒前
8秒前
田様应助LiuCR采纳,获得10
9秒前
灰灰完成签到,获得积分20
9秒前
XX完成签到,获得积分10
9秒前
majf发布了新的文献求助10
10秒前
hutiejing0901完成签到,获得积分10
10秒前
清爽电源完成签到,获得积分10
10秒前
白衣修身发布了新的文献求助10
10秒前
Yu发布了新的文献求助10
11秒前
11秒前
11秒前
MY完成签到,获得积分10
11秒前
阿啵呲嘚完成签到,获得积分10
11秒前
健忘的盼波完成签到,获得积分20
12秒前
852应助漫不经心采纳,获得10
12秒前
ggbond发布了新的文献求助10
12秒前
金月发布了新的文献求助10
12秒前
Tong驳回了李健应助
13秒前
13秒前
醉熏的问夏完成签到 ,获得积分10
13秒前
13秒前
hyx完成签到 ,获得积分20
14秒前
高分求助中
Adhesion Science: Principles & Practice 1234
Signals, Systems, and Signal Processing 610
Petrology and Plate Tectonics,2025 400
Burger's Medicinal Chemistry and Drug Discovery 400
New directions for experimental lessons in science teaching: Myth, Mystery, Necessity? by Emily K. da Silva Cunha Souto (Author), Flávia Lins Silva (Author) 333
Scientific experimentation in the classroom: Comparison between genetic-Socratic-exemplary teaching and workshop teaching by Ingrid Hofer (Author) 333
Programming for Chemical Engineers Using C, C++, and MATLAB 320
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6721419
求助须知:如何正确求助?哪些是违规求助? 8457869
关于积分的说明 18056964
捐赠科研通 5973913
什么是DOI,文献DOI怎么找? 2996384
邀请新用户注册赠送积分活动 1972434
关于科研通互助平台的介绍 1926365