Revolutionizing the latent heat storage: Boosting discharge performance with innovative undulated phase change material containers in a vertical shell-and-tube system

潜热 相变材料 Boosting(机器学习) 相变 管(容器) 壳体(结构) 材料科学 热能储存 工程类 结构工程 复合材料 计算机科学 工程物理 物理 人工智能 气象学 热力学
作者
Hakim S. Sultan Aljibori,Hayder I. Mohammed,Nirmalendu Biswas,Hussein Togun,Raed Khalid Ibrahem,Jasim M. Mahdi,Wahiba Yaïci,Amir Keshmiri,Pouyan Talebizadehsardari
出处
期刊:Journal of Computational Design and Engineering [Oxford University Press]
卷期号:11 (2): 122-145 被引量:40
标识
DOI:10.1093/jcde/qwae020
摘要

Abstract This paper examines the impact of various parameters, including frames, zigzag number, and enclosure shape, on the solidification process and thermal energy storage rate of a vertical phase change material (PCM) container. The study also assesses the effects of the flow rate of the heat transfer fluid as well as changing the materials of the PCM between RT35 and RT35HC. In addition, the study compares the framed versus unframed systems and, subsequently, the best case was tested with various zigzag pitch numbers before changing the zigzag-shaped structure to arc and reversed-arc. The findings are examined by contrasting the different scenarios’ liquid fractions, temperature distributions, solidification rates, and heat storage rates. The results show that the framed geometry is 66% faster to reach the target temperature compared with the unframed geometry and employing a zigzag enclosure in a PCM can significantly improve the solidification time and heat recovery rate. As the number of pitches in the zigzag enclosure increases, the improvement rate decreases but still improves the solidification time and heat recovery rate. The reversed-arc-shaped structure has the best performance compared with the other undulated surfaces. For the system with RT35HC, the discharge time is 55% higher compared with that of the system with RT35, while the discharge rate is 8.2% higher for the former during the first 3000 s of the discharging process.
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
3秒前
4秒前
Iris发布了新的文献求助10
4秒前
漂亮广山关注了科研通微信公众号
6秒前
CNuo发布了新的文献求助10
7秒前
ggfygggg发布了新的文献求助10
8秒前
老谢完成签到,获得积分10
8秒前
岩小吉完成签到,获得积分10
8秒前
8秒前
8秒前
不知道叫啥名字给不知道叫啥名字的求助进行了留言
9秒前
9秒前
西厢张生发布了新的文献求助10
10秒前
今后应助happy采纳,获得10
10秒前
11秒前
积极台灯完成签到 ,获得积分10
12秒前
12秒前
虚幻帽子完成签到,获得积分10
12秒前
12秒前
研友_8WdzPL发布了新的文献求助10
12秒前
hunee完成签到,获得积分10
13秒前
小叮当发布了新的文献求助10
13秒前
大意的书兰完成签到,获得积分10
14秒前
wenti发布了新的文献求助10
14秒前
QQQ完成签到,获得积分20
15秒前
虚心映之发布了新的文献求助50
16秒前
16秒前
16秒前
16秒前
lizishu应助trans采纳,获得30
17秒前
Yolo发布了新的文献求助10
17秒前
Lucas应助缓慢海亦采纳,获得10
17秒前
xuan发布了新的文献求助10
18秒前
QQQ发布了新的文献求助10
19秒前
lemon完成签到 ,获得积分10
19秒前
21秒前
22秒前
漂亮广山发布了新的文献求助10
22秒前
ViVi水泥要干喽完成签到 ,获得积分10
22秒前
23秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Molecular Mechanisms of Photosynthesis, 4th Edition 1000
Organic Reactions, Volume 116 1000
Matrix Methods in Data Mining and Pattern Recognition 510
Reading and Understanding Health Research 500
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7252097
求助须知:如何正确求助?哪些是违规求助? 8874503
关于积分的说明 18732390
捐赠科研通 6932075
什么是DOI,文献DOI怎么找? 3199623
关于科研通互助平台的介绍 2374362
邀请新用户注册赠送积分活动 2174189