Hydrogen Supply Chain Optimisation (MILP/Pyomo) — Seeking Energy System Modelling Collaborators

Q&A
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1

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

2

Hi Gordhan!

I am a PhD scholar from India, I am working on the Green hydrogen for Steel Industry of India. My research topics mainly focusses on spatial, techno-economics of green hydrogen

  • hydrogen infrastructure planning

  • techno-economic analysis of hydrogen systems

  • energy system modelling

I would love to learn your optimisation models for hydrogen supply chains using Mixed Integer Linear Programming (MILP) implemented in Python with Pyomo. I would also like to understand your model that 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

I also want to work on related modelling problems, I have also planned to work on OSeMOSYS and have started to learn MUIO interface, may be I will also use PyPSA so most of the things actually allign with you, so I would be happy to collaborate with you, hoping to hear from you soon.

If you find the proposal convincing then we can interact on the mail also, my mail id is ankur88265@gmail.com, You can drop me a mail on this email id. Thanks for your post.

Best Regards

Ankur Agrawal

3

This new report from Global Energy Monitor might offer some useful context for steel making:

4

Hello everyone,

I am a researcher based in Japan, working on energy system modelling and electricity market analysis.

My current research interests include:

  • renewable energy integration

  • power system flexibility

  • hydrogen production and storage

  • electric vehicles and smart charging

  • long-term energy system planning

  • electricity market design

I mainly work with optimisation-based energy models and am particularly interested in how hydrogen storage and electric vehicles can support the integration of variable renewable energy.

I would be glad to exchange ideas with researchers working on related topics, especially model formulation, data assumptions, scenario design, and the integration of hydrogen and transport sectors into larger energy system models.

I am also interested in open-source modelling frameworks such as PyPSA and similar tools.

Please feel free to contact me through this forum if you are working on related research or are interested in possible collaboration.

Best regards,
Tuo Zhang

5

Hi @HouMianbao Perhaps this is of interest and related to model formulation:

I guess you know that PyPSA has a Discord channel. That would be a good place to discuss specifics. Best, R