optimex 0.2.0

Time-Explicit Life Cycle Optimization

This is a Python package for transition pathway optimization based on time-explicit Life Cycle Assessment (LCA). optimex helps identify optimal process portfolios and deployment timing in systems with multiple processes producing the same product, aiming to minimize dynamically accumulating environmental impacts over time.

optimex builds on top of the optimization framework pyomo and the LCA framework Brightway. If you are looking for a time-explicit LCA rather than an optimization tool, make sure to check out bw_timex.

Features

This package enables you to:

• Optimize the timing and scale of process deployments over a transition period
• Jointly consider the temporal distribution and evolution of processes (e.g., electricity consumption over a 20-year use phase dynamically sources from the appropriate electricity mix based on the actual time of consumption)
• Account for the timing and accumulation of emissions using dynamic Life Cycle Impact Assessment

Getting Started

• Installation Guide
• Getting Started Tutorial
• Example Collection

Support

If you have any questions or need help, do not hesitate to contact us:

• Jan Tautorus ([e-mail])
• Timo Diepers ([e-mail])

Contributing

We welcome contributions! If you have suggestions or want to fix a bug, please:

• Open an Issue
• Send a Pull Request

License

Distributed under the terms of the BSD 3 Clause license, optimex is free and open source software.