Modeling of a Wellhead Heating Methodology With Heat Pipes in Coal Mines

多物理 井口 热管 可再生能源 地热采暖 环境科学 热能 采暖系统 石油工程 工艺工程 地热能 废物管理 煤矿开采 热泵 地温梯度 工程类 传热 机械工程 地质学 混合热 热交换器 物理 有限元法 地球物理学 热力学 结构工程 量子力学
作者
Hongyang Zhang,Kewen Li,Lipeng Zhao,Junxin Lin,Mohammed Kaita,Fusang Wan
出处
期刊:Journal of Energy Resources Technology-transactions of The Asme [ASME International]
卷期号:143 (1) 被引量:4
标识
DOI:10.1115/1.4049003
摘要

Abstract Many coal mines are located at the middle and high latitudes. In winter, coal mining facilities may be operated under the freezing conditions. Burning coal for hot water is usually used to heat up the facilities, which is not environmentally friendly and energy efficient. Currently, the ground source heat pumps and other new technologies have been applied for heating in coal mines and have achieved some success. However, the working characteristics and costs of these technologies are not suitable for the antifreeze at the wellhead. Heat pipe technology has the following advantages: automatic operation with the change of atmosphere temperature (AMT) and low cost of construction and maintenance, which can overcome the drawbacks of the aforementioned technologies. In this article, a heating system based on heat pipe technology has been designed and modeled. The system extracts heat from the shallow normal temperature zone (NTZ) to automatically heat the coal wellhead in winter. For the heating system, the effects of AMT, the temperature of NTZ, the frozen zone thickness (FZT), the thermal conductivity, and the heat pipe quantity (HPQ) on the heating performance have been modeled and investigated using comsol multiphysics. The modeling results have been analyzed and discussed. The modeling data showed that the system based on heat pipes could meet the antifreeze requirements for the designed system during the winter period. The wellhead heating system proposed in this article may achieve the purpose of replacing fossil energy with shallow geothermal energy.
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
2秒前
petrichor应助C_Cppp采纳,获得10
2秒前
nan完成签到,获得积分10
2秒前
2秒前
3秒前
3秒前
勤恳的雨文完成签到,获得积分10
3秒前
木森ab发布了新的文献求助10
4秒前
paul完成签到,获得积分10
4秒前
小鞋完成签到,获得积分10
5秒前
开心青旋发布了新的文献求助10
5秒前
fztnh发布了新的文献求助10
5秒前
无名花生完成签到 ,获得积分10
5秒前
7秒前
8秒前
8秒前
杜若完成签到,获得积分10
8秒前
8秒前
木森ab完成签到,获得积分20
10秒前
paul发布了新的文献求助10
11秒前
12秒前
MEME发布了新的文献求助10
15秒前
15秒前
情怀应助LSH970829采纳,获得10
15秒前
CHINA_C13发布了新的文献求助10
18秒前
Mars发布了新的文献求助10
19秒前
哈哈哈完成签到,获得积分10
19秒前
玛卡巴卡应助平常的毛豆采纳,获得100
20秒前
默默的青旋完成签到,获得积分10
21秒前
24秒前
搜集达人应助淡淡采白采纳,获得10
24秒前
高高代珊完成签到 ,获得积分10
25秒前
gmc发布了新的文献求助10
26秒前
26秒前
27秒前
善学以致用应助Mian采纳,获得10
27秒前
学科共进发布了新的文献求助60
28秒前
LWJ完成签到 ,获得积分10
28秒前
28秒前
缓慢的糖豆完成签到,获得积分10
29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 3527990
求助须知:如何正确求助?哪些是违规求助? 3108173
关于积分的说明 9287913
捐赠科研通 2805882
什么是DOI,文献DOI怎么找? 1540119
邀请新用户注册赠送积分活动 716941
科研通“疑难数据库(出版商)”最低求助积分说明 709824