This dashboard combines datacenter location data with country-level electricity signals to estimate the stability of low-carbon power behind each selected site.
Core calculation (V-Score)
- For each source over a 7-day (and 30-day) window, we compute mean output, volatility and a stability term.
- Low-carbon sources considered: solar, wind, hydro, nuclear.
- Each source is weighted by its low-carbon share in the same window.
- The weighted stability sum is scaled to 100 to produce the V-Score.
- Core equation: V-Score = (Σᵢ SEᵢ · Sᵢ) × 100, where i is a low-carbon source, μᵢ is its mean hourly production over the selected window, Σⱼ μⱼ is the total mean hourly production across all low-carbon sources, SEᵢ is that source's share of the low-carbon mix, CVᵢ is its coefficient of variation, and Sᵢ = 1 / (1 + CVᵢ) is the source stability term. CVᵢ is calculated as σᵢ / μᵢ, where σᵢ is the standard deviation of that source's hourly production across the selected time window.
Carbon intensity and mix values are shown as context metrics; they are sourced from Electricity Maps and can change if upstream datasets are revised.
Main sources
- OpenStreetMap (Overpass) for base datacenter geometries and metadata.
- PeeringDB for facility and operator enrichment and cross-checking.
- Electricity Maps for grid time series (mix and carbon intensity) and extra datacenter records. Note: We use the sandbox api key instead of the commercial key, which means that our data is subject to arbitrary inaccuracy.
- MapTiler for the map tiles and map rendering used in the dashboard.
- Public provider references and DataCenterMap for complementary enrichment fields when available.
Note: The dashboard currently only shows country-level grid analysis and is not tailored for any specific data center. The grid electricity data is sourced from the Electricity Maps API in sandbox mode and is subject to arbitrary inaccuracy.