lca-modeller 0.1.2b0

Python library to build parametric LCA models from a configuration file.

🚀 LCA-Modeller

LCA-Modeller offers a streamlined interface to facilitate the creation of parametric LCA models with prospective capabilities. It builds on the open-source libraries lca-algebraic and premise, so having a basic understanding of these tools is recommended.

The core functionality of LCA-Modeller revolves around reading a user-provided configuration file that defines the LCA model. From this configuration file, LCA-Modeller generates a parametric LCA model with lca-algebraic, which can then be evaluated for any parameter values using lca-algebraic's built-in functions.
If prospective scenarios are provided, premise is used to adapt the EcoInvent database to future conditions. The parametric LCA model then interpolates the prospective databases to enable the evaluation for any year specified by the user.

Additional features include the definition of custom impact assessment methods and the ability to modify existing activities in the EcoInvent database by adding or updating flows.

📦 Installation

To install LCA-Modeller, setup a separate conda environment:

conda create -n lca_modeller python==3.10
conda activate lca_modeller

And pip install the package:

pip install lca-modeller

A tutorial notebook is provided in the notebooks directory to help you get started with LCA-Modeller.

✈️ Applications

LCA-Modeller is currently being used in the following projects:

• AeroMAPS : Multidisciplinary Assessment of Prospective Scenarios for air transport.
• FAST-UAV: Future Aircraft Sizing Tool - Unmanned Aerial Vehicles
• FAST-OAD: Future Aircraft Sizing Tool - Overall Aircraft Design

🤝 Questions and contributions

• Félix POLLET [e-mail]