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Original Paper | Open Access

Investigation of the effect of water-vapour-containing hydrogen-blended natural gas fraction on the condensation performance of a Laval nozzle using BBD and PSO

Guan-Wei Jiaa( )Kai-Feng XueaRui Lib
School of Physics and Electronics, Henan University, Kaifeng, 475004, Henan, China
PipeChina Institute of Science and Technology, Tianjin, 300457, China

Edited by Xi Zhang

Peer review under the responsibility of China University of Petroleum (Beijing).

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Abstract

Hydrogen-blended natural gas delivered via pipeline networks supports the development of hydrogen energy. However, hydrogen-blended natural gas containing water vapour significantly decreases delivery efficiency and accelerates pipeline corrosion, necessitating rigorous dewatering before transportation, storage, and utilisation. This mixture is primarily methane-based, with component variations depending on the source. This study employs Box–Behnken design (BBD) and particle swarm optimisation (PSO) to examine how the composition and content of hydrogen-blended natural gas influence the condensation rate in Laval nozzles. Utilising computational fluid dynamics (CFD), we calculated the flow parameters of various hydrogen-blended natural gas fractions and contents through the Laval nozzle. The optimal gas composition was identified using BBD and PSO, resulting in a condensation rate of 78.65% with CH4 at 69.212%, C2H6 at 2.028%, C3H8 at 1.107%, and H2 at 9.01%. This condensation rate is significantly higher compared to mixtures containing only CH4 and H2. These findings guide the investigation of phase transformation mechanisms in multi-component condensation of hydrogen-blended natural gas with water vapour and their engineering applications.

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Petroleum Science
Pages 5096-5110

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Cite this article:
Jia G-W, Xue K-F, Li R. Investigation of the effect of water-vapour-containing hydrogen-blended natural gas fraction on the condensation performance of a Laval nozzle using BBD and PSO. Petroleum Science, 2026, 23(8): 5096-5110. https://doi.org/10.1016/j.petsci.2026.05.002

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Received: 22 November 2025
Revised: 03 February 2026
Accepted: 06 May 2026
Published: 12 May 2026
© 2026 The Authors.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).