Energy Data & Modeling
Open source tools and grid telemetry.
The Need for Chronological Granularity
Static modeling using annual averages is useless for a highly renewable grid. Understanding the energy transition requires sub-hourly chronological dispatch modeling across multiple meteorological weather years. This ensures that the modeled grid can survive severe weather events (e.g., a two-week winter lull in wind generation across Northern Europe).
Open Data Initiatives
Organizations like the ENTSO-E (Europe) and EIA (USA) are standardizing grid telemetry data. Open-source modeling frameworks like PyPSA (Python for Power System Analysis) allow researchers to optimize capacity expansion and dispatch without relying on black-box proprietary software.
| Data Type | Source | Update Frequency |
|---|---|---|
| Wholesale Pricing & Dispatch | ISO / RTO Portals | 5-minute / Hourly |
| Meteorological Data (GHI/Wind) | ERA5 (Copernicus) / NREL NSRDB | Hourly (Historical Reanalysis) |
| Project Costs (CapEx/OpEx) | NREL ATB (Annual Technology Baseline) | Annually |
Interactive: Model Testing
Adjust the parameters below to run the model based on current baseline data.