I am working on investigating the role of hydrogen energy storage in Germany’s future energy storage. During my research, I found that the existing model do not consider the transient behavior of the salt cavern for hydrogen energy storage (HES). I thought about two step simulation of coupling transient behavior HES in salt cavern in energy system modelling. My aim is to bridge the existing gap by incorporating pressure, temperature and mass flow dyanmics (derived from Modelica) to PyPSA optimisation layer to examine the optimal dispatch strategy and economic efficiency.
I would greatly appreciate your insights on the technical feasibility of such two step simulation. Also, I am open for discussion and your suggestion. Feel free to reach out to me. Thank you so much.
Hi @Hrishikesh You might like to read this thread:
It seems to me that it has underlying themes that are similar to the ones you face: the relative merits of simulation versus optimization — and how to select and combine the various approaches on offer to best advance your research agenda/s. Best, R.
The energy required to store hydrogen in the subsurface at high pressure compared the stored energy in the fluid itself is very low: https://www.sciencedirect.com/science/article/pii/S136403212100705X, see table 7, which shows the exergetic roundtrip efficiency of the storage injection and withdrawal. For air it will be higher in caverns, as there are less pressure gradients during injection and withdrawal.