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 宏观经济学 经济
作者
Yongjun Li,Zhirong Wang,Zheng Shang
出处
期刊:International Journal of Hydrogen Energy [Elsevier BV]
卷期号:53: 535-549 被引量:35
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
迷人芫发布了新的文献求助10
1秒前
1秒前
萧骞发布了新的文献求助10
2秒前
2秒前
秋秋发布了新的文献求助10
2秒前
pangpang完成签到,获得积分10
2秒前
2秒前
彭于晏应助蓝天采纳,获得30
3秒前
Accelerator完成签到,获得积分10
3秒前
共享精神应助Lc20020320采纳,获得10
3秒前
Cuisine完成签到 ,获得积分10
3秒前
4秒前
4秒前
冷静曼岚完成签到,获得积分10
4秒前
陈住气发布了新的文献求助30
4秒前
大个应助谢尔顿采纳,获得50
5秒前
科研南完成签到 ,获得积分10
6秒前
6秒前
迷路的灵波完成签到,获得积分10
6秒前
6秒前
6秒前
cynical发布了新的文献求助10
6秒前
万能图书馆应助ZZZ采纳,获得10
6秒前
小马甲应助萌萌采纳,获得10
6秒前
6秒前
微笑的可乐完成签到,获得积分10
7秒前
zy发布了新的文献求助10
7秒前
7秒前
nounou完成签到 ,获得积分10
7秒前
酷波er应助郭郭郭采纳,获得10
7秒前
徐子昂发布了新的文献求助10
8秒前
9秒前
9秒前
9秒前
共享精神应助miku1采纳,获得10
10秒前
10秒前
10秒前
Copyright应助彳亍而上学采纳,获得10
11秒前
11秒前
wangfaqing942发布了新的文献求助30
12秒前
高分求助中
(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
Geist der Kunst und Kultur 1000
Resistance Spot Welding Dataset for Automobile Body-in-White Quality Analysis 748
日本現代怪異事典 副読本 700
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 650
Machine Learning for Asset Management and Pricing 600
Numerical analysis of the coupled atmosphere-ocean models (CAO II). II 600
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 7395419
求助须知:如何正确求助?哪些是违规求助? 9001470
关于积分的说明 19158785
捐赠科研通 7031307
什么是DOI,文献DOI怎么找? 3229850
关于科研通互助平台的介绍 2392315
邀请新用户注册赠送积分活动 2211450