您当前的位置：
首页 >
文章列表页 >
Energy consumption diagnosis methodology model of boiler hot water heating system
更新时间：2023-11-25

    • Energy consumption diagnosis methodology model of boiler hot water heating system

    • Journal of Civil, Architectural & Environmental Engineering   Vol. 40, Issue 4, Pages: 71-80(2018)

    • DOI：10.11835/j.issn.1674-4764.2018.04.011    

      CLC：

    • Received：11 July 2017，

      Published：2018-08

    移动端阅览

  • Qifan Wu, Junqi Yu, Jialei Zheng. Energy consumption diagnosis methodology model of boiler hot water heating system[J]. Journal of Civil, Architectural & Environmental Engineering, 2018, 40(4): 71-80. DOI： 10.11835/j.issn.1674-4764.2018.04.011.

  •  
  •  
icon
试读结束，您可以激活您的VIP账号继续阅读。
去激活 >
icon
试读结束，您可以通过登录账户，到个人中心，购买VIP会员阅读全文。
已是VIP会员？
去登录 >

0

Views

9

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Prediction of CO2 adsorption performance in porous biochar based on machine learning
Multi-objective optimization design method of modular steel frame structure in cold regions
Machine learning method for overall stability of welded constant section box columns made of high strength steel
Review and prospect of machine learning method in shield tunnel construction
Efficient interpolation method for 2D non-stationary CPT data using Gibbs sampling and compressive sampling

Related Author

QIN Yinghong
WANG Junsong
TAN Kanghao
ZHANG Xiaoqing
CHEN Yifei
MIAO Ruyun
MA Guowei
ZHANG Yufen

Related Institution

School of Civil Engineering and Architecture; Key Laboratory of Disaster Prevention and Engineering Safety of Guangxi, Guangxi University
State Key Laboratory of Subtropical Building Science, South China University of Technology
School of Civil and Transportation Engineering; Hebei University of Technology
a. School of Mechanics and Civil Engineering; 1b. Jiangsu Key Laboratory of Environmental Disaster and Structural Reliability of Civil Engineering, China University of Mining and Technology, Xuzhou 221116, Jiangsu, P. R. China; 2. South Branch of China Construction Eighth Engineering Bureau Co., Ltd, Shenzhen 518035, Guangdong, P. R. China; 3. College of Civil Engineering, Southwest Jiaotong University, Chendu
中国矿业大学，江苏省土木工程环境灾变与结构可靠性重点实验室
0