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Notebook","category":"Industrial Ecology","sub_category":"Life Cycle Assessment","monthly_downloads":70,"total_dependent_repos":0,"total_dependent_packages":0,"readme":"\u003cdiv align=\"center\"\u003e\n\n\u003cimg src=\"https://github.com/flechtenberg/flechtenberg_images/blob/main/Pulpo-Logo_INKSCAPE.png?raw=true\" width=\"300\" /\u003e\n\n\u003ch3\u003ePython-based User-defined Lifecycle Production Optimization\u003c/h3\u003e\n\n\u003c!-- Development Tools --\u003e\n[![Jupyter](https://img.shields.io/badge/Jupyter-F37626.svg?style=flat\u0026logo=Jupyter\u0026logoColor=white)](https://jupyter.org/)\n[![Python](https://img.shields.io/badge/Python-3776AB.svg?style=flat\u0026logo=Python\u0026logoColor=white)](https://www.python.org/)\n[![Markdown](https://img.shields.io/badge/Markdown-000000.svg?style=flat\u0026logo=Markdown\u0026logoColor=white)](https://www.markdownguide.org/)\n\n\u003c!-- Project Metadata --\u003e\n[![License](https://img.shields.io/github/license/flechtenberg/pulpo?style=flat\u0026color=5D6D7E)](https://github.com/flechtenberg/pulpo/blob/main/LICENSE)\n[![Last Commit](https://img.shields.io/github/last-commit/flechtenberg/pulpo?style=flat\u0026color=5D6D7E)](https://github.com/flechtenberg/pulpo/commits/main)\n[![Commit Activity](https://img.shields.io/github/commit-activity/m/flechtenberg/pulpo?style=flat\u0026color=5D6D7E)](https://github.com/flechtenberg/pulpo/pulse)\n\n\u003c!-- Additional --\u003e\n[![PyPI - Version](https://img.shields.io/pypi/v/pulpo-dev?color=%2300549f)](https://pypi.org/project/pulpo-dev/)\n[![GitHub Stars](https://img.shields.io/github/stars/flechtenberg/pulpo?style=flat\u0026color=FFD700)](https://github.com/flechtenberg/pulpo/stargazers)\n[![launch - renku](https://renkulab.io/renku-badge.svg)](https://renkulab.io/v2/projects/fabian/pulpo-test/sessions/01JRM54S4NKMS84Y6BAYT832WH/start)\n\n\u003c/div\u003e\n\n---\n\n## 📍 Overview\n\nThis is a python package for **[Life Cycle Optimization (LCO)](https://onlinelibrary.wiley.com/doi/full/10.1111/jiec.13561)** based on life cycle inventories. `pulpo` is intended to serve as a platform for optimization tasks of varying complexity.   \n\nThe package builds on top of the **[Brightway LCA framework](https://docs.brightway.dev/en/latest)** as well as the **[optimization modeling framework Pyomo](https://www.pyomo.org/)**.\n\n---\n\n## ✨ Capabilities\n\nApplying optimization is recommended when the system of study has (1) many degrees of freedoms which would prompt the manual assessment of a manifold of scenarios, although only the \"optimal\" one is of interest and/or (2) any of the following capabilities makes sense within the goal and scope of the study:\n\n- **Specify technology and regional choices** throughout the entire supply chain (i.e. fore- and background), such as choices for the production technology of electricity or origin of metal resources. Consistently accounting for changes in the background in \"large scale\" decisions [can be significant](https://www.sciencedirect.com/science/article/pii/S2352550924002422). \n- **Specify constraints** on any activity in the life cycle inventories, which can be interpreted as tangible limitations such as raw material availability, production capacity, or environmental regulations.\n- **Optimize for or constrain any impact category** for which the **characterization factors** are available.\n- **Specify supply values** instead of final demands, which can become relevant if only production values are available (e.g. [here](https://www.pnas.org/doi/10.1073/pnas.1821029116)).\n\nThe following features are currently under development:\n\n\u003e - [ ] `ℹ️  Optimization under uncertainty [chance-constraints, stochastic optimization ...]`\n\u003e - [ ] `ℹ️  Multi-objective optimization [bi-objective epsilon constrained, goal programming ...]`\n\u003e - [ ] `ℹ️  Integration of economic and social indicators in the optimization problem formulation`\n\n\u003e - [X] `ℹ️  Development of a GUI for simple optimization tasks` [Link](https://github.com/flechtenberg/pulpo-gui)\n\u003e - [X] `ℹ️  Enable PULPO to work on both bw2 and bw25 projects`\n\u003e - [X] `ℹ️  Thorough documentation hosted on flechtenberg.github.io/pulpo/`\n\nFeature requests are more than welcome!\n\n---\n\n### 🔧 Installation\nPULPO has been deployed to the pypi index. Depending on the version of brightway projects you want to work on, install either the bw2 or bw25 version via:\n```sh\npip install \"pulpo-dev[bw2]\"\n```\nor\n```sh\npip install \"pulpo-dev[bw25]\"\n```\n\n### 🤖 Running pulpo\n\nUse this link to start a session and test PULPO\n[![launch - renku](https://renkulab.io/renku-badge.svg)](https://renkulab.io/v2/projects/fabian/pulpo-test/sessions/01JRM54S4NKMS84Y6BAYT832WH/start)\n\nhere is a simple showcase revolving around [methanol production](https://github.com/flechtenberg/pulpo/blob/master/notebooks/pulpo_showcase.ipynb) with by-products and uncertainty treatment.\n\nFind further example notebooks for a [hydrogen case](https://github.com/flechtenberg/pulpo/blob/master/notebooks/hydrogen_showcase.ipynb), an [electricity case](https://github.com/flechtenberg/pulpo/blob/master/notebooks/electricity_showcase.ipynb), and a [plastic case](https://github.com/flechtenberg/pulpo/blob/master/notebooks/plastic_showcase.ipynb) here.\n\nThere is also a workshop repository ([here](https://github.com/flechtenberg/pulpo_workshop)), which has been created for the Brightcon 2024 conference. It contains several notebooks that guide you through the PULPO package and its functionalities, as well as an exercise.\n\n\n### 🧪 Tests\n\nCalling from the package folder: \n\n```sh\npython -m unittest discover -s tests\n```\n\n---\n## What's new in 1.4.3?\n- Allow users to pass lower inventory flow and lower impact limits via `lower_inv_limit` and `lower_imp_limit` dicts.\n- Provide new [showcase](https://github.com/flechtenberg/pulpo/blob/master/notebooks/pulpo_showcase.ipynb) notebook.\n- Enable users to pass custom default upper limits on elements, given that gurobi identified the `1e20` (and `1e24`) as infinite in some cases. Check out in section 8 of the new [showcase](https://github.com/flechtenberg/pulpo/blob/master/notebooks/pulpo_showcase.ipynb) how to use these limits. Setting them lower may also improve convergence speed in some cases.\n- Enable dependent constraint definition. Check out in section 9 of the new [showcase](https://github.com/flechtenberg/pulpo/blob/master/notebooks/pulpo_showcase.ipynb) how to use these these.\n\n\n## What's new in 1.4.2?\n- Enable the use of gurobi solver\n\n## What's new in 1.4.0?\n- Enable the use of NEOS solver (commercial solvers without license)\n- Enable Monte-Carlo sampling feature \n- Retrieve uncertainty information to `lci_data` for future use\n\n## What's new in 1.3.0?\n- Switch packaging logic from setup.py to pyproject.toml and align pypi with Github versioning number\n\n---\n\n## 🤝 Contributing\nContributions are very welcome. If you would like to request a feature or report a bug please [open an Issue](https://github.com/flechtenberg/pulpo/issues). If you are confident in your coding skills don't hesitate to implement your suggestions and [send a Pull Request](https://github.com/flechtenberg/pulpo/pulls).\n\n---\n\n## 📄 License\n\nThis project is licensed under the `ℹ️  BSD 3-Clause` License. See the [LICENSE](LICENSE) file for additional info.\nCopyright (c) 2025, Fabian Lechtenberg. All rights reserved.\n\n\n---\n\n## 👏 Acknowledgments\n\nWe would like to express our gratitude to the authors and contributors of the following main packages that **PULPO** is based on:\n\n- [**pyomo**](https://github.com/Pyomo/pyomo)\n- [**brightway2**](https://github.com/brightway-lca/brightway2)\n\nIn addition, we acknowledge the pioneering ideas and contributions from the following works:\n\n- **[Computational Structure of LCA](http://link.springer.com/10.1007/978-94-015-9900-9)**\n- **[Technology Choice Model](https://pubs.acs.org/doi/10.1021/acs.est.6b04270)**\n- **[Modular LCA](http://link.springer.com/10.1007/s11367-015-1015-3)**\n\nFollow-up work, incorporating features such as top-down matrix construction for the use of entire life cycle inventory databases and supply specification, was implemented in **PULPO** and culminated in the following publication, which details the approach and outlines its implementation:\n\n\u003e **Fabian Lechtenberg, Robert Istrate, Victor Tulus, Antonio Espuña, Moisès Graells, and Gonzalo Guillén‐Gosálbez.**  \n\u003e “PULPO: A Framework for Efficient Integration of Life Cycle Inventory Models into Life Cycle Product Optimization.”  \n\u003e *Journal of Industrial Ecology*, October 10, 2024.  \n\u003e [https://doi.org/10.1111/jiec.13561](https://doi.org/10.1111/jiec.13561)\n\n\nThis article is to be cited / referred to if PULPO is used to derive results of a publication or project.\n\n---\n## Authors\n- [@flechtenberg](https://www.github.com/flechtenberg)\n- [@robyistrate](https://www.github.com/robyistrate)\n- [@vtulus](https://www.github.com/vtulus)\n---\n[↑ Return](#Top)","funding_links":[],"readme_doi_urls":["https://doi.org/10.1111/jiec.13561"],"works":{},"citation_counts":{},"total_citations":0,"keywords_from_contributors":[],"project_url":"https://ost.ecosyste.ms/api/v1/projects/111142","html_url":"https://ost.ecosyste.ms/projects/111142"}