Technoeconomic performance of offshore compressed air energy storage (OCAES) systems.
Model inputs are generalized and can be used to assess the technoeconomic performance of energy storage system co-located with offshore wind.
Original methodology forked from https://github.com/binghui89/OCAES and builds on the approach by Li and DeCarolis 2015 https://doi.org/10.1016/j.apenergy.2015.05.111
Sample Linux installion based on Rivanna, the UVA High Performance Computer https://www.rc.virginia.edu/
- clone from github
git clone https://www.github.com/EnergyModels/caes
- move to OCAES directory
cd OCAES
- load Anaconda (may need to update to latest python version)
module load anaconda/2019.10-py3.7
- create environment
conda env create
- activate environment
source activate ocaes-py3
- install caes module
pip install .
To run (from a new terminal) on Rivanna
- load Anaconda (may need to update to latest python vversion)
module load anaconda/2019.10-py3.7
- activate environment
source activate ocaes-py3
- move to directory
cd ~/OCAES/examples/sample_runs/COVE
- run file
python run_sample_COVE.py
Techno-economic analysis of offshore isothermal compressed air energy storage in saline aquifers co-located with wind power
Bennett, J.A., Simpson, J.G., Qin, C., Fittro, R., Koenig, G.M., Clarens, A.F., Loth, E. (in review). Techno-economic analysis of offshore isothermal compressed air energy storage in saline aquifers co-located with wind power.
cd OCAES\projects\virginia
sbatch run_va_project.sh
Special thank you to Binghui Li and Joe DeCarolis for making their code open-source and publicly available. For more information on their project please see:
Li, B., and DeCarolis, J.F., (2015). A techno-economic assessment of offshore wind coupled to offshore compressed
air energy storage. Applied Energy, 155, 1, 315-322. https://doi.org/10.1016/j.apenergy.2015.05.111