{"id":21735108,"url":"https://github.com/vasulab/sco2es","last_synced_at":"2026-04-16T07:33:08.084Z","repository":{"id":245929999,"uuid":"645478988","full_name":"VasuLab/sCO2ES","owner":"VasuLab","description":"Python package for sCO2 energy storage modeling.","archived":false,"fork":false,"pushed_at":"2024-09-20T19:55:58.000Z","size":2614,"stargazers_count":1,"open_issues_count":6,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-01-25T20:43:46.340Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"https://vasulab.github.io/sCO2ES/","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/VasuLab.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2023-05-25T18:43:10.000Z","updated_at":"2024-09-20T19:55:24.000Z","dependencies_parsed_at":"2024-06-24T22:08:40.942Z","dependency_job_id":"81bb7abf-cc76-4537-8ada-4b020816e4b2","html_url":"https://github.com/VasuLab/sCO2ES","commit_stats":null,"previous_names":["vasulab/sco2es"],"tags_count":1,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/VasuLab%2FsCO2ES","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/VasuLab%2FsCO2ES/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/VasuLab%2FsCO2ES/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/VasuLab%2FsCO2ES/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/VasuLab","download_url":"https://codeload.github.com/VasuLab/sCO2ES/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":244712677,"owners_count":20497533,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-11-26T05:11:56.501Z","updated_at":"2026-04-16T07:33:03.064Z","avatar_url":"https://github.com/VasuLab.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Supercritical Carbon Dioxide Energy Storage (sCO₂ES)\n\n[![Poetry](https://img.shields.io/endpoint?url=https://python-poetry.org/badge/v0.json)](https://python-poetry.org/)\n\n`sco2es` is intended for modeling of energy storage for supercritical carbon dioxide (sCO₂) \npacked bed thermal energy storage systems. This work is based on the model detailed by Battisti et al.[^1].\n\n\u003e [!IMPORTANT]\n\u003e This software is licensed under the [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/) license \n\u003e The software can be used for academic purposes, but if you are interested in using this\n\u003e software for commercial purposes, please contact the University of Central Florida Research Foundation's \n\u003e [Technology Transfer Office](https://tt.research.ucf.edu/) to negotiate a commercial license.\n\u003e \n\u003e Copyright © 2024 UCFRF, Inc. All Rights Reserved\n\n## Performance\n\n`sco2es` uses Numba for optimization of functions and utilizes NumPy's linear algebra routines\nand SciPy's sparse linear algebra routines. For optimal performance, a version of SciPy built against a well\noptimized LAPACK/BLAS library is required. Therefore, it is recommended to run this code using the \nAnaconda distribution of SciPy, which is built against Intel’s MKL[^2].\n\n[^1]: F. G. Battisti, L. A. de Araujo Passos, and A. K. da Silva, \"Performance mapping of packed-bed thermal energy \nstorage systems for concentrating solar-powered plants using supercritical carbon dioxide,\" Applied Thermal Engineering, \nvol. 183, 2021, doi: 10.1016/j.applthermaleng.2020.116032.\n\n[^2]: https://numba.readthedocs.io/en/stable/user/performance-tips.html\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvasulab%2Fsco2es","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fvasulab%2Fsco2es","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvasulab%2Fsco2es/lists"}