Integrating emerging technologies deployed at scale within prospective life-cycle assessments

The repository contains data files and tailored notebooks and codes to create the LCI database and reproduce the results presented in the article. DOI: https://doi.org/10.1016/j.spc.2024年08月01日6

└── Integrated-LCA-master/
 ├── .gitignore
 ├── LICENSE
 ├── Notebooks/
 │ └── Setting up/ 
 │ └── 01-Setup non-integrated LCA.ipynb
 │ └── 02-Setup integrated LCA.ipynb
 │ └── Calculations/
 │ └── 01-Non-integrated LCA calculation.ipynb
 │ └── 02-Integrated LCA calculations.ipynb
 │ └── Fetching info/
 │ └── 01-Diesel market regional share.py
 │ └── 02-Diesel market share.py
 │ └── 03-Synthetic diesel market share.py
 │ └── Plotting/ 
 │ └── 01-Main-manuscript.ipynb
 │ └── 02-Supplementary.ipynb
 │ └── Examples/
 │ └── example_notebook.ipynb
 ├── Data/
 │ └── LCIA/ 
 ├── IntLCA/
 │ ├── __init__.py
 │ ├── IntLCA.py
 │ └── utils/
 ├── README.md
 ├── environment.yml
 ├── graphical_abstract.png

📍 The Data folder includes:

• The LCIA folder→ Three excel files that are used for creating or updating the LCIA method.

📍 The Notebooks folder includes:

• Setting up folder → Notebooks to create the databases
• Calculations folder → Notebooks to calculate LCA impacts
• Examples folder → Notebook that shows how to perform integrated LCA with matrices
• Plotting folder → Notebooks to plot the LCA impacts
• Fetcing info folder → Notebooks to fetch information from the environmental databases

📍 The IntLCA folder → Includes a package created to perform integrated LCA. The file includes utils folder with all the modules required.

To install the IntLCA package use pypi:

pip install IntLCA-dev

To ensure the replication of the results presented in the article, it is highly recommended starting a new environment.

Using Anaconda, build the environment using environment.yml:

conda env create -f environment.yml

Details on how to use the package are provided in the corresponding notebooks. Reach out if you encounter issues!