Numerical investigation on the leakage and diffusion characteristics of hydrogen-blended natural gas in a domestic kitchen

Yue Su, Jingfa Li, Bo Yu and Yanlin Zhao

Renewable Energy, 2022, vol. 189, issue C, 899-916

Abstract: Hydrogen blending has significant influences on the characteristics and evolution of safety accidents of natural gas. In this study, the numerical investigation is performed to reveal the leakage and diffusion characteristics of hydrogen-blended natural gas in a real domestic kitchen by using the ANSYS Fluent software. The physical and mathematical model of gas leak from cooking appliances is established, and the explosion risk area, alarm response time and concentration distribution of leaked gas are studied. Influences of hydrogen blending ratio (HBR), leak rate, ventilation condition and dimension size on the characteristics and evolution of leakage and diffusion are analyzed. Results show that with the increase of HBR at constant leak rates, both the alarm time and the time to reach lower explosion limit are advanced. When the volume leak rate is constant, the alarm response time for HBR of 2.5%, 5%, 7.5%, 10%, 12.5%, 15%, 17.5% and 20% is 0.50%, 1.51%, 3.02%, 3.78%, 6.53%, 10.34%, 12.34% and 14.11% earlier than that of natural gas. The natural ventilation can effectively reduce leaked gas concentration in kitchen. At the wind speed of 1 m/s, the leaked gas concentration falls below alarm concentration within 28s, but the free diffusion takes as long as 720s.

Keywords: Hydrogen-blended natural gas; Leakage and diffusion; Domestic gas safety; Evolution law; Numerical simulation (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960148122003159
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:189:y:2022:i:c:p:899-916

DOI: 10.1016/j.renene.2022.03.038

Access Statistics for this article

Renewable Energy is currently edited by Soteris A. Kalogirou and Paul Christodoulides

More articles in Renewable Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().