Molecular dynamics investigation on isobaric heat capacity of working fluid in supercritical CO2 Brayton cycle: Effect of trace gas

等压法 布莱顿循环 超临界流体 热容 热力学 化学 热交换器 物理
作者
Juan Xue,Xianhua Nie,Zhenyu Du,Hongrui Li,Zhao Li,Yu Zhu,Jiajun Wang
出处
期刊:Journal of CO2 utilization [Elsevier BV]
卷期号:55: 101790-101790 被引量:9
标识
DOI:10.1016/j.jcou.2021.101790
摘要

Supercritical CO2 Brayton cycles have become a research hotspot in high-efficiency power production. Adoption of other gas into CO2 is proved to be an effective way to improve the performance of supercritical CO2 cycle. In practice, it is inevitable to mix impurity gas into CO2. The additive gas would have significant effects on isobaric heat capacity of CO2 system. However, the lack of isobaric heat capacity of CO2 mixture gas over supercritical regions of CO2 poses a challenge in the design and optimization of supercritical CO2 Brayton cycle. In this work, N2 and Xe, whose mole fraction ranges from 1% to 50 %, is considered as an additive gas in CO2. The isobaric heat capacity of pure CO2, CO2/Xe and CO2/N2 binary mixture is calculated via molecular dynamics simulation. Compared to the commonly utilized database REFPROP, it is found that molecular dynamics simulation exhibits comparable and acceptable performance in prediction of the isobaric heat capacity of the mixed CO2 system. The absolute average deviate of isobaric heat capacity of pure CO2 and CO2/N2 binary mixtures is less than 1% and 1.3 % compared to the REFPROP database, respectively. Then, the effect of the Xe and N2 on the isobaric heat capacity is discussed. The results demonstrated that the isobaric heat capacity would decrease continuously when CO2 is mixed with Xe and N2. The prediction models and data put forth in this paper offer great values for practical application system involving S-CO2 Brayton cycle.
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
Echo发布了新的文献求助10
刚刚
2秒前
CC完成签到,获得积分10
3秒前
在水一方应助舒克采纳,获得10
4秒前
hcj发布了新的文献求助10
5秒前
彭于晏应助jaslek采纳,获得10
6秒前
Mrshi发布了新的文献求助10
6秒前
ele_yuki发布了新的文献求助10
7秒前
大模型应助江宿采纳,获得10
7秒前
8秒前
9秒前
瓷穹发布了新的文献求助20
9秒前
10秒前
10秒前
FFly关注了科研通微信公众号
10秒前
10秒前
xxxxxxh发布了新的文献求助10
11秒前
12秒前
carrieschen发布了新的文献求助10
14秒前
YG123发布了新的文献求助10
14秒前
帅哥吴克发布了新的文献求助10
15秒前
16秒前
16秒前
主谓宾发布了新的文献求助10
16秒前
17秒前
18秒前
18秒前
carrieschen完成签到,获得积分10
19秒前
顾矜应助欣喜冰珍采纳,获得10
19秒前
舒克发布了新的文献求助10
19秒前
蔡璨关注了科研通微信公众号
19秒前
自觉紫安完成签到 ,获得积分10
20秒前
Chris小七完成签到,获得积分10
20秒前
20秒前
研友_VZG7GZ应助飞猪采纳,获得10
23秒前
科研通AI5应助科研通管家采纳,获得10
23秒前
完美世界应助科研通管家采纳,获得10
23秒前
乐观小之应助科研通管家采纳,获得10
23秒前
彭于晏应助科研通管家采纳,获得10
23秒前
丘比特应助科研通管家采纳,获得10
23秒前
高分求助中
Applied Survey Data Analysis (第三版, 2025) 800
Assessing and Diagnosing Young Children with Neurodevelopmental Disorders (2nd Edition) 700
Images that translate 500
Handbook of Innovations in Political Psychology 400
Mapping the Stars: Celebrity, Metonymy, and the Networked Politics of Identity 400
Nucleophilic substitution in azasydnone-modified dinitroanisoles 300
《続天台宗全書・史伝1 天台大師伝注釈類》 300
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 3842873
求助须知:如何正确求助?哪些是违规求助? 3384852
关于积分的说明 10537856
捐赠科研通 3105474
什么是DOI,文献DOI怎么找? 1710311
邀请新用户注册赠送积分活动 823582
科研通“疑难数据库(出版商)”最低求助积分说明 774149