Analysis and prediction of hydrogen-blended natural gas diffusion from various pipeline leakage sources based on CFD and ANN approach

计算流体力学 天然气 泄漏(经济) 管道(软件) 石油工程 核工程 环境科学 计算机科学 材料科学 热力学 机械工程 化学 工程类 废物管理 物理 有机化学 经济 宏观经济学
作者
Yongjun Li,Zhirong Wang,Zheng Shang
出处
期刊:International Journal of Hydrogen Energy [Elsevier]
卷期号:53: 535-549 被引量:17
标识
DOI:10.1016/j.ijhydene.2023.12.018
摘要

The influences of pipeline leakage source types on the hazard area distribution caused by accidental hydrogen-blended natural gas leakage are still the focus of gas leakage accidents. Three types of pipeline leakage sources are discussed in this study. Namely, the gas in the vertical pipeline flows from top to bottom, and the leakage orifice is in the pipeline wall; the gas in the vertical pipeline flows from bottom to top, and the leakage orifice is in the pipeline wall; the leakage orifice is in the horizontal pipeline end. The common feature of the above three pipeline leakage sources is that the normal of leakage orifice is parallel to the horizontal plane. The differences in the flow field distribution of hydrogen-blended natural gas released from three pipeline leakage sources are compared through numerical simulation. The effect of various factors on the jet centerline, concentration decay, and maximum horizontal diffusion distance of hydrogen-blended natural gas released from three pipeline leakage sources are analyzed. The predictive models of hydrogen-blended natural gas's maximum horizontal diffusion distance in three pipeline leakage sources under multi-factor coupling are established through a backward propagation neural network (BPNN). Results show that the angle between the gas flow direction in the pipeline and the normal of the leakage orifice, and the background step flow cause differences in the concentration field near the leakage orifice from the three pipeline leakage sources at the same working conditions. In the near-field region, the leakage orifice diameter has the most significant influence on the jet centerline of three hydrogen-blended natural gas jets among three factors. The concentration decay rate of gas released from the horizontal pipeline end is greater than that of gas released from the other two pipeline leakage sources. With the increase of volumetric flow rate, the maximum horizontal diffusion distances of methane released from three pipeline leakage sources all increase, while the maximum horizontal diffusion distances of hydrogen released from three pipeline leakage sources have little change. The predictive models of the maximum horizontal diffusion distance of hydrogen-blended natural gas released from three pipeline leakage sources are established through BPNN. The maximum horizontal hazard distances of the new working conditions are predicted, and the predicted results are in good agreement with the numerical simulation results. This investigation has guiding value for fast and accurate prediction of flammable gas hazard areas.
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
丫丫完成签到,获得积分10
刚刚
科研通AI2S应助觅桃乌龙采纳,获得10
刚刚
耿强完成签到,获得积分10
刚刚
wanci应助dd采纳,获得10
1秒前
汉堡包应助cuihl123采纳,获得10
1秒前
李浓完成签到,获得积分10
1秒前
DreamMaker发布了新的文献求助10
1秒前
mao12wang完成签到,获得积分10
2秒前
2秒前
bdvdsrwteges发布了新的文献求助10
3秒前
如约而至发布了新的文献求助20
3秒前
纯真的莫茗完成签到,获得积分10
3秒前
彭于晏应助超11采纳,获得10
4秒前
4秒前
gavincsu发布了新的文献求助10
4秒前
KSGGS给KSGGS的求助进行了留言
4秒前
flow驳回了Aria应助
4秒前
lixiunan完成签到,获得积分10
4秒前
4秒前
dildil发布了新的文献求助10
6秒前
6秒前
7秒前
7秒前
边瑞明完成签到,获得积分10
7秒前
Wang发布了新的文献求助10
8秒前
Jenny应助拼搏思卉采纳,获得10
8秒前
8秒前
神勇的雅香应助不喝可乐采纳,获得10
8秒前
清脆的白开水完成签到,获得积分10
8秒前
Hello应助善良过客采纳,获得10
8秒前
现实的曼荷完成签到,获得积分10
8秒前
8秒前
9秒前
zyyyy完成签到,获得积分10
9秒前
dd完成签到,获得积分20
9秒前
9秒前
混子发布了新的文献求助10
9秒前
HYG完成签到,获得积分10
10秒前
二橦完成签到 ,获得积分10
10秒前
熊博士完成签到,获得积分10
11秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527699
求助须知:如何正确求助?哪些是违规求助? 3107752
关于积分的说明 9286499
捐赠科研通 2805513
什么是DOI,文献DOI怎么找? 1539954
邀请新用户注册赠送积分活动 716878
科研通“疑难数据库(出版商)”最低求助积分说明 709759