Study on Gas Migration Characteristics during Asynchronous Reverse Ventilation of Multiple Air Shaftsa

IF 0.8 4区 工程技术 Q4 CHEMISTRY, MULTIDISCIPLINARY
Zongxiang Li, Linghao Hao, Shuoran Huang
{"title":"Study on Gas Migration Characteristics during Asynchronous Reverse Ventilation of Multiple Air Shaftsa","authors":"Zongxiang Li,&nbsp;Linghao Hao,&nbsp;Shuoran Huang","doi":"10.3103/S0361521925601093","DOIUrl":null,"url":null,"abstract":"<p>To comprehensively understand the gas migration characteristics of ventilation systems during mine reverse ventilation periods, a high-precision three-dimensional dynamic simulation model was constructed using the TF1M3D simulation platform. The model’s reliability was validated through comparison with actual measurement data from Daxing Coal Mine. The study investigated the spatiotemporal distribution characteristics of gas concentration within the 3D ventilation net during asynchronous reverse ventilation periods of multiple air shafts, the relationship between fan downtime and gas parameters, and the influencing patterns of ventilation control on gas migration. Results indicate that simulation errors for multiple air shafts asynchronous reverse ventilation in mines are less than 5% compared to measured gas concentrations. The simulation accuracy for disaster ventilation is excellent, accurately describing changes of gas composition in the mine system during reverse ventilation. Implementing reverse ventilation operations in the mine resulted in a significant increase in gas concentration in the intake roadways of the working face, with peak values exceeding 1% within 520 seconds. After a brief peak, the concentration gradually decreased and stabilized after 1100 seconds. The duration of fan shutdown during reverse ventilation positively correlates with both the peak gas concentration and the peak area. Increasing fan speed reduces gas accumulation in the mine by over 13%, though short-term peak concentrations may rise. These findings provide theoretical and technical support for mine reverse ventilation drills.</p>","PeriodicalId":779,"journal":{"name":"Solid Fuel Chemistry","volume":"60 2","pages":"187 - 197"},"PeriodicalIF":0.8000,"publicationDate":"2026-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Solid Fuel Chemistry","FirstCategoryId":"5","ListUrlMain":"https://link.springer.com/article/10.3103/S0361521925601093","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

To comprehensively understand the gas migration characteristics of ventilation systems during mine reverse ventilation periods, a high-precision three-dimensional dynamic simulation model was constructed using the TF1M3D simulation platform. The model’s reliability was validated through comparison with actual measurement data from Daxing Coal Mine. The study investigated the spatiotemporal distribution characteristics of gas concentration within the 3D ventilation net during asynchronous reverse ventilation periods of multiple air shafts, the relationship between fan downtime and gas parameters, and the influencing patterns of ventilation control on gas migration. Results indicate that simulation errors for multiple air shafts asynchronous reverse ventilation in mines are less than 5% compared to measured gas concentrations. The simulation accuracy for disaster ventilation is excellent, accurately describing changes of gas composition in the mine system during reverse ventilation. Implementing reverse ventilation operations in the mine resulted in a significant increase in gas concentration in the intake roadways of the working face, with peak values exceeding 1% within 520 seconds. After a brief peak, the concentration gradually decreased and stabilized after 1100 seconds. The duration of fan shutdown during reverse ventilation positively correlates with both the peak gas concentration and the peak area. Increasing fan speed reduces gas accumulation in the mine by over 13%, though short-term peak concentrations may rise. These findings provide theoretical and technical support for mine reverse ventilation drills.

Abstract Image

多风轴异步反通风过程中气体运移特性研究
为全面了解矿井反通风期间通风系统的瓦斯运移特征,利用TF1M3D仿真平台构建了矿井反通风系统的高精度三维动态仿真模型。通过与大兴煤矿实测数据的对比,验证了模型的可靠性。研究了多风井异步反通风时段三维通风网内气体浓度的时空分布特征、风机停机时间与气体参数的关系以及通风控制对气体运移的影响规律。结果表明,与实测瓦斯浓度相比,矿井多风井异步反通风的模拟误差小于5%。灾害通风模拟精度高,能准确描述矿井系统反通风过程中瓦斯成分的变化。矿井实施反通风作业后,工作面进风巷道瓦斯浓度明显升高,520秒内瓦斯浓度峰值超过1%。在短暂的峰值后,浓度逐渐下降,1100秒后趋于稳定。反通风时风机停机时间与峰值气体浓度和峰值面积呈正相关。提高风机转速可使矿井的瓦斯积累减少13%以上,尽管短期峰值浓度可能会上升。研究结果为矿井反通风钻机的研制提供了理论和技术支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Solid Fuel Chemistry
Solid Fuel Chemistry CHEMISTRY, MULTIDISCIPLINARY-ENERGY & FUELS
CiteScore
1.10
自引率
28.60%
发文量
52
审稿时长
6-12 weeks
期刊介绍: The journal publishes theoretical and applied articles on the chemistry and physics of solid fuels and carbonaceous materials. It addresses the composition, structure, and properties of solid fuels. The aim of the published articles is to demonstrate how novel discoveries, developments, and theories may be used in improved analysis and design of new types of fuels, chemicals, and by-products. The journal is particularly concerned with technological aspects of various chemical conversion processes and includes papers related to geochemistry, petrology and systematization of fossil fuels, their beneficiation and preparation for processing, the processes themselves, and the ultimate recovery of the liquid or gaseous end products.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书