This is a small python tool implementing an iterative method for evaluating compressed air energy storage (CAES) in caverns. It tries to replicate the workflow proposed by Zhou et al. (2018) in Renewable Energy. https://doi.org/10.1016/j.renene.2017.12.091
-
Notifications
You must be signed in to change notification settings - Fork 0
GeolearnAI/CAES
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
No description, website, or topics provided.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published