To mitigate renewable variability, large-scale energy storage systems are necessary to ensure a robust energy network. Subsurface hydrogen storage is considered a promising candidate for large-scale energy storage systems. In this study, corner-point geometry, a standard method f
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To mitigate renewable variability, large-scale energy storage systems are necessary to ensure a robust energy network. Subsurface hydrogen storage is considered a promising candidate for large-scale energy storage systems. In this study, corner-point geometry, a standard method for discretizing field-scale subsurface reservoirs, is first validated against Cartesian geometry. Then, the sensitivity of reservoir performance on various reservoir parameters is analyzed. For this purpose, the cyclic operation of a synthetic reservoir is simulated for a period of five years. Several reservoir parameters are then varied, and the resulting changes in recoverability rate are analyzed. From this analysis, it can be concluded that variations in reservoir parameters have the largest impact during the initial cycles of the simulations. However, the results show that reservoir permeability and anticline do have a lasting impact on performance in subsequent injection and production cycles. Finally, the concept of subsurface hydrogen storage in the Johansen formation, located off the coast of Norway, is demonstrated. The results from these simulations show that the injected hydrogen is wellrecoverable and underline the importance of careful geological site selection.