Skip to main content

Advertisement

Log in

Computational fluid dynamic modeling of methane-hydrogen mixture transportation in pipelines: estimating energy costs

  • Original Paper
  • Published:
MRS Advances Aims and scope Submit manuscript

Abstract

Replacing fossil fuels and natural gas with alternative fuels like hydrogen is an important step toward the goal of reaching a carbon neutral economy. As an important intermediate step toward utilizing pure hydrogen, blending hydrogen in an existing natural gas network is a potential choice for reducing carbon emissions. A computational fluid dynamic model is developed to quantify frictional losses and energy efficiency of transport of methane-hydrogen blends across straight pipe sections. It is observed that, in general, an increase in the energy costs is expected when hydrogen, with its lower density, is transported along with methane (which has higher density) in various blend ratios. However, the amount of increase in energy costs depends on the volume fraction of hydrogen and the nature of the flow conditions. The lowest energy costs are projected for transporting pure hydrogen under the conditions where the inlet velocity flow rates are similar to that used for transporting pure methane while the highest energy costs are expected when hydrogen is transported at the same mass flow rate as methane.

Graphical abstract

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

Data availability

The datasets generated and/or analyzed during the current study are available from the corresponding author on reasonable request.

References

  1. T. Isaac, HyDeploy: the UK’s first hydrogen blending deployment project. Clean Energy 3(2), 114–125 (2019)

    Article  Google Scholar 

  2. GRHYD (2020). https://www.engie.com/en/businesses/gas/hydrogen/power-to-gas/the-grhyd-demonstration-project. Accessed 30 Dec 2021

  3. THyGA (2021). https://thyga-project.eu/about-thyga/. Accessed 30 Dec 2021

  4. L. Blanchard, L. Briottet, Non-combustion related impact of hydrogen admixture—material compatibility. (THyGA Project, 2020). https://thyga-project.eu/deliverable-d2-4-non-combustion-related-impact-of-hydrogen-admixture-material-compatibility/. Accessed 30 Dec 2021

  5. NREL (2020). https://www.nrel.gov/news/program/2020/hyblend-project-to-accelerate-potential-for-blending-hydrogen-in-natural-gas-pipelines.html. Accessed 30 Dec 2021

  6. PR Newswire (2020). https://www.prnewswire.com/news-releases/socalgas-and-sdge-announce-groundbreaking-hydrogen-blending-demonstration-program-to-help-reduce-carbon-emissions-301178982.html. Accessed 30 Dec 2021

  7. M. Cadorin, M. Morini, M. Pinelli, Numerical analyses of high Reynolds number flow of high pressure fuel gas through rough pipes. Int. J. Hydrog. Energy 35, 7568–7579 (2010)

    Article  CAS  Google Scholar 

  8. H. Schlichting, Experimental investigation of the problem of surface roughness. Ingenieur-Archiv 7(1), 42 (1937)

    Article  Google Scholar 

  9. Y. Kobayashi, A. Kurokawa, M. Hirata, Viscosity measurement of hydrogen-methane mixed gas for future energy systems. J. Therm. Sci. Technol. 2(2), 236–244 (2007)

    Article  CAS  Google Scholar 

  10. M. Flekiewicz, G. Kubica, An influence of methane/hydrogen proportion in fuel blend on efficiency of conversion energy in SI engine. J. Kones Powertrain Transp. 19(3), 117–124 (2012)

    Article  Google Scholar 

Download references

Acknowledgments

This study was supported in part by the NSF Grant DMREF 2119337 and the NYSERDA Grant 148947.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to T. A. Venkatesh.

Ethics declarations

Conflict of interest

The authors have no conflicts of interest to declare that are relevant to the content of this article.

Additional information

T. A. Venkatesh was an editor of this journal during the review and decision stage. For the MRS Advances policy on review and publication of manuscripts authored by editors, please refer to mrs.org/editor-manuscripts.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Tan, K., Mahajan, D. & Venkatesh, T.A. Computational fluid dynamic modeling of methane-hydrogen mixture transportation in pipelines: estimating energy costs. MRS Advances 7, 388–393 (2022). https://doi.org/10.1557/s43580-022-00243-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1557/s43580-022-00243-0

Navigation