26d • 💻 Applied Modeling
⚡ Networks grids & Storage — Part 1/...
🗺️ Where it started To better understand energy networks and their geographic topology, I dove into open source data — specifically OpenStreetMap and GridKit — to map transmission nodes and lines across Europe and the UK.
There are already plenty of courses on grids and storage. So instead of passively consuming content... I decided to build something.
🎯 Project Goals
Technical side:
- Sharpen my Python + mapping skills (Folium / GeoPandas)
- Experiment with Vibe Coding (rapid iteration, AI-assisted prototyping)
Knowledge side:
- Understand the role of energy storage and load balancing in modern grids
- Identify the critical materials and minerals behind storage technologies (lithium, cobalt, vanadium, manganese...)
- Map out the key players in the sector — utilities, pure-play storage companies, and emerging startups
💡 Open questions — your ideas welcome!
Some threads I'm already pulling on:
- Where are the bottlenecks in European transmission networks?
- How is the storage mix evolving — short-term (batteries) vs. long-term (hydrogen, pumped hydro)?
- What business models are emerging around grid flexibility?
What would you add to this project? 👇
Series in progress — more in the next post 🔄
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⚡ Networks grids & Storage — Part 1/...
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