Climate Tech

The IEA and DOE material is useful because it frames market structure and infrastructure constraints. PyPSA and related open models are useful because they force system claims into something closer to math instead of leaving them in keynote space.

The stack categories worth comparing here:
- market and policy tracking resources
- project finance and deployment datasets
- technical explainers for energy and industrial systems

Open materials worth opening side by side:
- PyPSA documentation: docs.pypsa.org/
An accessible place to start with open power-system analysis and optimization.
- PyPSA source: github.com/PyPSA/PyPSA
Core open-source toolkit for modeling energy systems and power networks.
- IEA Net Zero by 2050 roadmap: iea.org/reports/net-zero-by-2050-a-roadmap-fo...
A strong system-level reference for where decarbonization pressure and infrastructure limits show up.

Working documents and guides:
- IEA reports archive: iea.org/reports
One of the best places to ground climate claims in system-level energy data and forecasts.
- DOE Liftoff reports: liftoff.energy.gov/
Strong material for understanding commercialization, financing, and deployment bottlenecks.

Project diligence grid:

category,question,evidence
technology,What has been proven outside the lab?,pilot report
deployment,What is the slowest external bottleneck?,permitting timeline
economics,What is the customer replacing?,incumbent cost stack
financing,Who writes the first non-grant check?,project finance memo