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


📖 Description

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.2024.08.016

Charalambous et al., 2024. Integrating emerging technologies deployed at scale within prospective life-cycle assessments.


📂 Repository Structure

└── 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

⚙️ Documentation

📍 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.


Usage

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

1. Set Up the 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!

Metadata

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