Proceedings of the 2015 International Conference on Industrial Technology and Management Science

Research on Algorithm of Temperature Drop due to Throttling in Natural Gas Pipeline

Authors
Shiyao Peng, Junqi Tang, Hang Yin, Guoqun Chen, Tao Yang, Jianguo Zheng
Corresponding Author
Shiyao Peng
Available Online November 2015.
DOI
10.2991/itms-15.2015.192How to use a DOI?
Keywords
Gas pipeline; simulation; algorithm for temperature drop due to throttling; BWRS state equation; thermal physical parameters
Abstract

Using BWRS state equation, as well as two specific heat correlations, the temperature drop due to Joule-Thomson effect in natural gas pipeline is calculated and the algorithm of this is proposed. As for the west-to-east gas transmission pipeline, comparing the result calculated using the algorithm above with practical value measured, we find that the algorithm developed is steady and has a high accuracy of maximum deviation less than 1.42 , thus the algorithm can provide an accurate result for temperature drop calculation.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2015 International Conference on Industrial Technology and Management Science
Series
Advances in Computer Science Research
Publication Date
November 2015
ISBN
978-94-6252-123-0
ISSN
2352-538X
DOI
10.2991/itms-15.2015.192How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Shiyao Peng
AU  - Junqi Tang
AU  - Hang Yin
AU  - Guoqun Chen
AU  - Tao Yang
AU  - Jianguo Zheng
PY  - 2015/11
DA  - 2015/11
TI  - Research on Algorithm of Temperature Drop due to Throttling in Natural Gas Pipeline
BT  - Proceedings of the 2015 International Conference on Industrial Technology and Management Science
PB  - Atlantis Press
SP  - 810
EP  - 813
SN  - 2352-538X
UR  - https://doi.org/10.2991/itms-15.2015.192
DO  - 10.2991/itms-15.2015.192
ID  - Peng2015/11
ER  -