Mathematical Optimisation of Life-Cycle Assessment Models

Repository Structure

General information on the project is contained in the wiki. There is an Installation Guide for Windows.

The code repository contains two Python packages and a collection of Jupyter Notebooks.

• The mola (Mathematical Optimisation for Life-cycle Assessment) package contains a collection of Python classes and functions to carry out the optimisation of life-cycle assessment in a Python script or a Jupyter notebook.

• The molaqt package is a QT front-end to the mola package. It allows a user to configure an optimisation problem using a GUI and then obtain the results using a solver.

• The notebooks directory contains Jupyter notebooks that describe the optimisation model and its Python implementation. There are also notebooks containing Toy optimisation problems that demonstrate the use of the mola package. Specific links are provided on the wiki.