{"id":35238985,"url":"https://github.com/arfc/pride","last_synced_at":"2026-03-27T02:44:34.737Z","repository":{"id":53759313,"uuid":"228713750","full_name":"arfc/pride","owner":"arfc","description":"(P)lan for (R)ap(I)d (DE)carbonization","archived":false,"fork":false,"pushed_at":"2025-02-11T17:32:46.000Z","size":168161,"stargazers_count":3,"open_issues_count":22,"forks_count":7,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-09-09T09:50:59.987Z","etag":null,"topics":["data-analysis","quantitative-recommendations","reactor"],"latest_commit_sha":null,"homepage":"","language":"TeX","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"bsd-3-clause","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/arfc.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,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2019-12-17T22:38:02.000Z","updated_at":"2025-02-11T17:32:54.000Z","dependencies_parsed_at":"2025-02-11T18:39:15.309Z","dependency_job_id":null,"html_url":"https://github.com/arfc/pride","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/arfc/pride","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/arfc%2Fpride","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/arfc%2Fpride/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/arfc%2Fpride/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/arfc%2Fpride/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/arfc","download_url":"https://codeload.github.com/arfc/pride/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/arfc%2Fpride/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31011894,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-03-27T02:33:22.146Z","status":"ssl_error","status_checked_at":"2026-03-27T02:33:21.763Z","response_time":164,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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":["data-analysis","quantitative-recommendations","reactor"],"created_at":"2025-12-30T04:26:17.348Z","updated_at":"2026-03-27T02:44:34.729Z","avatar_url":"https://github.com/arfc.png","language":"TeX","funding_links":[],"categories":[],"sub_categories":[],"readme":"# (P)lan for (R)ap(I)d (DE)carbonization (PRIDE)\nThis repository contains analysis tools, models, and publications associated with planning for rapid decarbonization.\n\n## Publication: 2020-fairhurst-hydrogen-production\nThis repository holds:\n\n- data of the fuel consumed by the MTD and UI fleet.\n- analysis of the hydrogen required by those fleet to become carbon free.\n- information of different methods to produce hydrogen.\n\n## Publication: 2020-dotson-optimal-sizing\nThis repository holds the data analysis, figures, that will lead to quantitative recommendations for the optimal reactor size.\n\nMultiple scenarios will be addressed:\n\n1. The reactor itself is free (significant reduction in capital cost).\n2. The reactor still has a price tag and higher capital cost.\n3. Increasing penetration of variable renewable energy sources.\n4. Add grid flexibility in the form of H2 and thermal storage.\n\n## Instructions to Run TEMOA\nTEMOA is an open source modeling tool available on [GitHub](https://github.com/TemoaProject/temoa). Follow the installation instructions [here](https://temoacloud.com/download/).\n\nAfter creating a database in sql, navigate to the directory with your database:\n\n``sqlite3 [filename].sqlite \u003c [filename].sql``\n\nif you don't have sqlite installed, run:\n\n``sudo apt-get install sqlite`` or ``sudo apt-get install sqlite3``\n\nTEMOA models can be run from the command line, current iterations use the online model platform at ``model.temoacloud.com``.\n\n## Instructions to Run TEMOA scenarios\nTo run a single TEMOA scenario first add the path to Temoa to your ```~/.bashrc```:\n```bash\necho \"export TEMOA=/path/to/temoa\" \u003e\u003e ~/.bashrc\n```\nfor example:\n```bash\necho \"export TEMOA=/home/roberto/github/temoa\" \u003e\u003e ~/.bashrc\n```\nRemember to either close and open the terminal, or run ```source ~/.bashrc```.\nThen, write the following commands in the terminal:\n```bash\ncd temoa-uiuc\nsource activate temoa-py3\n# Example scenario\nsqlite3 data_files/bau_uiuc.sqlite \u003c data_files/bau_uiuc.sql\nyes | python $TEMOA/temoa_model/ --config=data_files/run_bau.txt\n```\nThe data processing must be done separately. Figures can be produced using \ntools in ``data_parser.py``. An example of how this is done can be found in \n``mga_analysis.ipynb``.\n\nTo run all scenarios (except for MGA, which must be run individually):\n\n``snakemake`` must be installed.\n\n```bash\ncd temoa-uiuc\nsource activate temoa-py3\npip install snakemake\nsnakemake --cores=4\n# if the build fails due to file system latency, try\n# snakemake --cores=4 --latency-wait=10\n```\nThis automatically generates figures in the ``/figures/`` folder.\n\n## Instructions to Run the Jupyter Notebooks\n\nGenerating typical time histories was done by using ``RAVEN`` an open source tool from INL. This repository should be in a folder adjacent to ``raven``. See directory map below for an example.\n\nTo install ``RAVEN`` follow the [instructions](https://github.com/idaholab/raven/wiki) from INL.\n\n## Instructions to Obtain the Data\n\nSome of the data has not yet been cleared for publication so a shared link cannot yet be provided.\nShared links for data that is already publicly available have been provided below.\n\nIn order to execute the jupyter notebooks the data files should be downloaded to your computer in a folder called\n``data`` such that your directories look like:\n\n``home``\u003cbr /\u003e\n|\u003cbr /\u003e\n|--``2020-dotson-optimal-sizing``\u003cbr /\u003e\n|\u003cbr /\u003e\n|--``raven``\u003cbr /\u003e\n|\u003cbr /\u003e\n|--``data``\u003cbr /\u003e\n\n#### Data:\n\n* [Champaign County (Willard Airport)](https://uofi.box.com/s/gy6nn3vqdbdxnxv073oqyeqpmoeeowkm)\n* [Logan County (Lincoln Airport)](https://uofi.box.com/s/3b4498ua7fziof4ex3fu75zfcvio0h1l)\n* [UIUC Solar Farm](https://uofi.box.com/s/0tohoujy4zhx7loaxt5m5w5qcocvxmp7)\n* [Solar Irradiance (At UIUC Solar Farm)](https://uofi.box.com/s/ee8zq23cfotzpfw3d0txjuazq7raotpw)\n* UIUC Steam Demand : Not cleared for public access\n* UIUC Electricity Demand : Not cleared for public access\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Farfc%2Fpride","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Farfc%2Fpride","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Farfc%2Fpride/lists"}