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General\n\n================================================================\nSolid Waste Optimization Life-cycle Framework in Python(SwolfPy)\n================================================================\n\n.. image:: https://img.shields.io/pypi/v/swolfpy.svg\n        :target: https://pypi.python.org/pypi/swolfpy\n\n.. image:: https://img.shields.io/pypi/pyversions/swolfpy.svg\n    :target: https://pypi.org/project/swolfpy/\n    :alt: Supported Python Versions\n\n.. image:: https://img.shields.io/pypi/l/swolfpy.svg\n    :target: https://pypi.org/project/swolfpy/\n    :alt: License\n\n.. image:: https://img.shields.io/pypi/dm/swolfpy.svg?label=Pypi%20downloads\n    :target: https://pypi.org/project/swolfpy/\n    :alt: Downloads\n\n.. image:: https://img.shields.io/pypi/format/swolfpy.svg\n    :target: https://pypi.org/project/swolfpy/\n    :alt: Format\n\n.. image:: https://readthedocs.org/projects/swolfpy/badge/?version=latest\n        :target: https://swolfpy.readthedocs.io/en/latest/?badge=latest\n        :alt: Documentation Status\n\n.. image:: https://github.com/SwolfPy-Project/swolfpy/actions/workflows/python-app.yml/badge.svg?branch=master\n        :target: https://github.com/SwolfPy-Project/swolfpy/actions/workflows/python-app.yml\n        :alt: Test\n\n.. image:: https://zenodo.org/badge/395802952.svg\n        :target: https://zenodo.org/badge/latestdoi/395802952\n        :alt: DOi\n\n.. image:: https://img.shields.io/badge/JIE%20DOI-10.1111%2Fjiec.13236-blue\n   :target: https://doi.org/10.1111/jiec.13236\n   :alt: JIE DOI\n\n* Free software: GNU GENERAL PUBLIC LICENSE V2\n* Website: https://swolfpy-project.github.io\n* Documentation: https://swolfpy.readthedocs.io\n* Repository: https://github.com/SwolfPy-Project/swolfpy\n\n\nFeatures\n--------\n\n* **Life-cycle assessment of Municipal Solid Waste (MSW) systems**\n\n  * Comparative LCA\n  * Contribution analysis\n  * LCI report\n\n* **Monte Carlo simulation**\n\n  * Uncertainty analysis\n  * Data visualization (distributions \u0026 correlations)\n\n* **Optimization**\n\n  * Minimize environmental burdens or cost subject to a number of technical or policy-related constraints\n\n\n.. list-table:: **Life-cycle process models**\n   :widths: auto\n   :header-rows: 1\n\n   * -\n     - Process model\n     - Description\n   * - 1\n     - Landfill (**LF**)\n     - Calculates emissions, material use, and energy use associated with construction, operations,\n       closure and post-closure activities, landfill gas and leachate management, and carbon storage.\n   * - 2\n     - Waste-to-Energy (**WTE**)\n     - Calculates emissions, mass flows, and resource use and recovery for the mass burn WTE process.\n   * - 3\n     - Gasification \u0026 Syngas Combustion (**GC**)\n     - Calculates emissions, mass flows, and resource use and recovery for the GC process (Produced syngas from\n       gasification is combusted to produce electricity by steam turbine).\n   * - 4\n     - Composting (**Comp**)\n     - Calculates emissions, mass flows, and resource use and recovery for aerobic composting process and final use of compost.\n   * - 5\n     - Home Composting (**HC**)\n     - Calculates emissions, mass flows, and resource use and recovery for home composting process and final use of compost.\n   * - 6\n     - Anaerobic Digestion (**AD**)\n     - Calculates emissions, mass flows, and resource use and recovery for anaerobic digestion process and final use of compost.\n   * - 7\n     - Single-Stream Material Recovery facility (**SS_MRF**)\n     - Calculates cost, emissions, and energy use associated with material recovery facilities.\n   * - 8\n     - Refuse-Derived Fuel (**RDF**)\n     - Calculates cost, emissions, and energy use associated with RDF production facilities.\n   * - 9\n     - Reprocessing (**Reproc**)\n     - Calculates emissions, mass flows, and resource use and recovery associated with recycling materials.\n   * - 10\n     - Transfer Station (**TS**)\n     - Calculates cost, emissions, and energy use associated with Transfer Stations.\n   * - 11\n     - Single Family Collection (**SF_Col**)\n     - Calculates cost, emissions, and fossil fuel use associated with MSW collection from single family sector.\n   * - 12\n     - Multi Family Collection (**MF_Col**)\n     - Calculates cost, emissions, and fossil fuel use associated with MSW collection from multi-family sector.\n   * - 13\n     - Commercial Collection (**COM_Col**)\n     - Calculates cost, emissions, and fossil fuel use associated with MSW collection from commercial sector.\n   * - 14\n     - Animal Feed (**AnF**)\n     - Calculates cost, emissions, and energy use associated with conversion of food waste to animal feed and final use of produced feed.\n\n\n.. Installation\n\nInstallation\n------------\n1- Download and install miniconda from:  https://docs.conda.io/en/latest/miniconda.html\n\n2- Update conda in a terminal window or anaconda prompt::\n\n        conda update conda\n\n3- Create a new environment for swolfpy::\n\n        conda create --name swolfpy python=3.9 graphviz\n\n4- Add Graphviz executables to your system PATH (This step is optional; Enables plotting SWM network). You can find Graphviz executables in ``\\\\miniconda3\\\\envs\\\\swolfpy\\\\Library\\\\bin\\\\graphviz`` folder or search for ``dot.exe`` file in your system. Add the directory to the ``Path`` variable in your environment variables.\n\n5- Activate the environment::\n\n        conda activate swolfpy\n\n6- Install swolfpy in the environment::\n\n        pip install swolfpy\n\n7- Open python to run swolfpy::\n\n        python\n\n8- Run swolfpy\n\n    - In terminal::\n\n          swolfpy\n          # or\n          python -m swolfpy\n\n    - In python::\n\n          import swolfpy as sp\n          sp.SwolfPy()\n\n.. endInstallation\n","funding_links":[],"readme_doi_urls":["https://doi.org/10.1111/jiec.13236"],"works":{"https://doi.org/10.1111/jiec.13236":{"id":"https://openalex.org/W4206576293","doi":"https://doi.org/10.1111/jiec.13236","title":"Solid waste optimization life‐cycle framework in Python (SwolfPy)","display_name":"Solid waste optimization life‐cycle framework in Python (SwolfPy)","publication_year":2022,"publication_date":"2022-01-13","ids":{"openalex":"https://openalex.org/W4206576293","doi":"https://doi.org/10.1111/jiec.13236"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1111/jiec.13236","pdf_url":null,"source":{"id":"https://openalex.org/S203731762","display_name":"Journal of Industrial Ecology","issn_l":"1088-1980","issn":["1530-9290","1088-1980"],"is_oa":false,"is_in_doaj":false,"host_organization":"https://openalex.org/P4310320503","host_organization_name":"Wiley-Blackwell","host_organization_lineage":["https://openalex.org/P4310320503","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley-Blackwell","Wiley"],"type":"journal"},"license":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-article","open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019965261","display_name":"Mojtaba Sardarmehni","orcid":"https://orcid.org/0000-0002-8415-2057"},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535","https://openalex.org/I4210158053"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mojtaba Sardarmehni","raw_affiliation_string":"Department of Civil, Construction, and Environmental Engineering North Carolina State University  Raleigh North Carolina USA","raw_affiliation_strings":["Department of Civil, Construction, and Environmental Engineering North Carolina State University  Raleigh North Carolina USA"]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033822140","display_name":"Pedro H. 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