Hello everyone,
I am working on optimisation models for hydrogen supply chains using Mixed Integer Linear Programming (MILP) implemented in Python with Pyomo.
The model focuses on planning hydrogen infrastructure and system configuration, including:
- electrolyser capacity expansion
- hydrogen storage sizing
- transport network decisions (pipelines or other transport modes)
- demand satisfaction across locations
- cost minimisation of the overall system
The aim is to explore infrastructure planning and system design for emerging hydrogen economies and energy transition scenarios.
I am interested in collaborating with researchers or practitioners working on:
- energy system modelling
- hydrogen infrastructure planning
- techno-economic analysis of hydrogen systems
- open datasets for energy systems
- integration with larger energy system models (for example PyPSA, OSeMOSYS, or similar frameworks)
If anyone is working on related modelling problems or datasets, I would be happy to exchange ideas or explore potential collaboration.
I can also share the model structure or repository if there is interest.
Best regards
Gordhan