Optimizing the operational efficiency of the underground hydrogen storage scheme in a deep North Sea aquifer through compositional simulations
Journal of Energy Storage, ISSN: 2352-152X, Vol: 73, Page: 108832
2023
- 28Citations
- 31Captures
- 1Mentions
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Most Recent News
Reports on Energy Storage Findings from University of Aberdeen Provide New Insights (Optimizing the Operational Efficiency of the Underground Hydrogen Storage Scheme In a Deep North Sea Aquifer Through Compositional Simulations)
2023 DEC 05 (NewsRx) -- By a News Reporter-Staff News Editor at Energy Daily News -- A new study on Energy - Energy Storage is
Article Description
In this study, we evaluate the technical viability of storing hydrogen in a deep UKCS aquifer formation through a series of numerical simulations utilising the compositional simulator CMG-GEM. Effects of various operational parameters such as injection and production rates, number and length of storage cycles, and shut-in periods on the performance of the underground hydrogen storage (UHS) process are investigated in this study. Results indicate that higher H 2 operational rates degrade both the aquifer's working capacity and H 2 recovery during the withdrawal phase. This can be attributed to the dominant viscous forces at higher rates which lead to H 2 viscous fingering and gas gravity override of the native aquifer water resulting in an unstable displacement of water by the H 2 gas. Furthermore, analysis of simulation results shows that longer and less frequent storage cycles lead to higher storage capacity and decreased H 2 retrieval. We conclude that UHS in the studied aquifer is technically feasible, however, a thorough evaluation of the operational parameters is necessary to optimise both storage capacity and H 2 recovery efficiency.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S2352152X23022296; http://dx.doi.org/10.1016/j.est.2023.108832; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85171336686&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S2352152X23022296; https://dx.doi.org/10.1016/j.est.2023.108832
Elsevier BV
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