Concise analytical solution and optimization of compressed air energy storage systems with thermal storage

压缩空气储能 无量纲量 热力学 热能储存 储能 常量(计算机编程) 热的 体积热力学 能量(信号处理) 化学 高效能源利用 工艺工程 机械 数学 计算机科学 物理 工程类 统计 电气工程 功率(物理) 程序设计语言
作者
Heng Guo,Yujie Xu,Lujing Huang,Yilin Zhu,Liang Qi,Haisheng Chen
出处
期刊:Energy [Elsevier BV]
卷期号:258: 124773-124773 被引量:8
标识
DOI:10.1016/j.energy.2022.124773
摘要

The evaluation of compressed air energy storage (CAES) system mostly focused on system efficiency and cost, while less attention has been paid to energy density in the past, and each performance expression was complex, making it difficult to obtain clear variation law of multiple indexes with key parameters, as well as the optimal coupling relationship among them. In view of the above problems, the research on concise analytical solution of CAES systems with thermal storage (TS-CAES) is carried out in this paper, in which a dimensionless pressure coefficient K and the parameter Z to describe thermal storage characteristics are established. Based on the above parameters and simplified model, the concise analytical expression of system efficiency and energy density for constant-volume and constant-pressure CAES systems are established. Based on the analytical expression, the influence law of each key parameter on the system evaluation indexes is revealed, and the optimal matching relationship of key parameters is obtained. It is revealed that without considering the heat exchange temperature difference, the system efficiency is only related to the thermal storage temperature, K and the efficiency of compressor/expander. The greater the temperature and K are, the higher the system efficiency is. The higher the temperature and pressure are, the higher the energy density of the two systems is. The energy density is more sensitive to the value of Z with lower temperature and higher pressure. It is also found that there is an optimal K under a certain temperature and pressure to maximize the energy density for constant-volume CAES, and the optimal value of K corresponding to 200 bar and 100 °C is 0.77.
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
阿乐发布了新的文献求助10
刚刚
量子星尘发布了新的文献求助10
1秒前
1秒前
所所应助Hh采纳,获得10
2秒前
第二支羽毛完成签到 ,获得积分10
3秒前
3秒前
彭于晏应助ZZW采纳,获得10
5秒前
5秒前
7秒前
7秒前
sundial发布了新的文献求助10
7秒前
xiao_J发布了新的文献求助10
8秒前
jia关注了科研通微信公众号
8秒前
阿乐完成签到,获得积分10
9秒前
黑米粥发布了新的文献求助30
9秒前
10秒前
10秒前
11秒前
香蕉闭月发布了新的文献求助10
12秒前
13秒前
ZZW发布了新的文献求助10
14秒前
yyauthor发布了新的文献求助20
14秒前
谢大喵完成签到 ,获得积分10
14秒前
14秒前
长干发布了新的文献求助10
14秒前
15秒前
15秒前
17秒前
17秒前
追寻地坛发布了新的文献求助10
18秒前
19秒前
Yuki发布了新的文献求助10
20秒前
20秒前
量子星尘发布了新的文献求助10
21秒前
21秒前
22秒前
长干完成签到,获得积分10
22秒前
ZZW完成签到,获得积分10
22秒前
22秒前
王德俊发布了新的文献求助10
22秒前
高分求助中
【提示信息,请勿应助】请使用合适的网盘上传文件 10000
Continuum Thermodynamics and Material Modelling 2000
The Oxford Encyclopedia of the History of Modern Psychology 1500
Green Star Japan: Esperanto and the International Language Question, 1880–1945 800
Sentimental Republic: Chinese Intellectuals and the Maoist Past 800
The Martian climate revisited: atmosphere and environment of a desert planet 800
Learning to Listen, Listening to Learn 520
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3867367
求助须知:如何正确求助?哪些是违规求助? 3409750
关于积分的说明 10664684
捐赠科研通 3133945
什么是DOI,文献DOI怎么找? 1728674
邀请新用户注册赠送积分活动 833052
科研通“疑难数据库(出版商)”最低求助积分说明 780550