Analysis of High-Pressure Transient flow in Pipeline of Hydrogen-Natural Gas Mixture
1 Department of Mathematical Sciences, Federal University Dutse, Jigawa State, Nigeria
2 Department of Mathematics, Kaduna State University, Kaduna, Nigeria
3 Information Services Department, Nigerian Institute of Transport Technology, Zaria,
* Corresponding author: babagaladimaagaie@njmajournal.com.ng
2 Department of Mathematics, Kaduna State University, Kaduna, Nigeria
3 Information Services Department, Nigerian Institute of Transport Technology, Zaria,
* Corresponding author: babagaladimaagaie@njmajournal.com.ng
Abstract
Hydrogen is a high pressure gas whose natural mixture requires
accurate prediction of pressure drop. The reduced order mod
elling is used in analysis of transient flow where viscosity change is
neglected leading to Euler equation which becomes the governing
equation. This study provides an improvement on the accurate
prediction of pressure drop analysis of transient flow of hydrogen
natural gas mixture or hydrogen in pipeline. The construction
of efficient reduce order model was achieved using implicit
Steger-Warming flux vector splitting method (FSM) in which
the accuracy and computational efficiency are tested. The result
is efficient when compared to normal conventional numerical
techniques. This model can, significantly, assist in analysing high
pressure transient flow behaviour at any point during the flow.
Keywords
Heat flux
energy
hydrogen natural gas
transient flow & polytropic process
How to Cite
Agaie, B. G., Abubakar, S. M., Mundi, B. I., & Anthony, P. (2020). Analysis of High-Pressure Transient flow in Pipeline of Hydrogen-Natural Gas Mixture. Nigerian Journal of Mathematics and Applications, 30(1), 111−120. https://doi.org/10.67897/njma.2020.miaa05xp
B. G. Agaie, S. M. Abubakar, B. I. Mundi, and P. Anthony, "Analysis of High-Pressure Transient flow in Pipeline of Hydrogen-Natural Gas Mixture," Nigerian Journal of Mathematics and Applications, vol. 30, no. 1, pp. 111−120, August 2020. doi: 10.67897/njma.2020.miaa05xp