Proprietary scoring system for grid stability, EV adoption, and renewable integration globally.
This index serves as a benchmark for international energy investment, aggregating complex regulatory data with technical metrics (like LCOE and LCOS) to provide a single, actionable score for country-level risk assessment. **No other free public tool provides this level of comparative, indexed data.**
The score is directly linked to the viability of renewable projects in that region, making this index a critical asset for any global developer or fund manager.
Use this dashboard as a market intelligence reference for evaluating regional risk in renewable deployment, EV infrastructure buildout, and grid modernization. For deeper insights, browse Market Intelligence.
This dashboard is updated periodically. The as-of date reflects the publication timestamp, while each indicator may reference the latest available data year (often published with a lag).
As solar penetration increases, reliability is no longer just a generation problem — it becomes a flexibility problem. The most visible symptom is the Duck Curve: solar output falls quickly at sunset while demand rises, producing a steep evening ramp that can stress transformers, feeders, and generation reserves.
In practical terms, operators need resources that can respond within minutes: battery energy storage (BESS), demand response, fast-ramping generation, and modern grid controls. Storage stands out because it can provide peak shaving, frequency response, and renewable firming in a single asset.
The market turning point is the convergence where the Levelized Cost of Storage (LCOS) becomes competitive with the cost of meeting peaks using a fossil peaker plant. When LCOS < peaker cost (fuel + variable O&M + operational risk), storage becomes a financially rational reliability asset — not just a decarbonization tool.
This table is a crawl-friendly snapshot of the index to help search engines and analysts interpret the dataset. Use the dashboard above to filter and export the latest view.
As-of: | Methodology: v1.0 | Illustrative snapshot (demo)
| Region | Grade | Trend | Grid Stability (0–10) | Renewable Penetration (%) | EV Adoption Rate (%) |
|---|---|---|---|---|---|
| Europe (EU) | A+ | up | 9.2 | 65 | 18 |
| North America (US/CA) | A | flat | 8.5 | 38 | 10 |
| Scandinavia (Nordics) | A+ | up | 9.8 | 82 | 65 |
| Middle East (GCC) | B+ | up | 8.9 | 15 | 2 |
| China (PRC) | A- | up | 7.5 | 45 | 29 |
| Japan & Korea | A | flat | 9.0 | 25 | 4 |
| India | B- | up | 6.2 | 40 | 1.5 |
| Southeast Asia (ASEAN) | C+ | down | 5.5 | 22 | 1 |
| Australia/NZ | B+ | up | 8.1 | 35 | 8 |
| Brazil (LATAM) | B | flat | 6.8 | 75 | 0.8 |
| Sub-Saharan Africa | C | down | 4.0 | 55 | 0.5 |
| Eastern Europe | B- | down | 7.2 | 20 | 3 |
Tip: the CSV export includes filters and the trend field for reporting.
This index is published by region, but it is built from country-level membership lists. Use this section to find where a country is mapped in the dataset.
| Country | ISO3 | Region (GRI) |
|---|---|---|
| Loading country coverage… | ||
A benchmark dashboard that compares energy-system readiness across regions using grid stability, renewable penetration, EV adoption rate, and an outlook trend signal.
Grades reflect relative performance in the dataset dimensions. For enterprise-grade use, connect audited sources and a published update cadence.
Trend is a directional sentiment signal designed to communicate improving (up), declining (down), or stable (flat) outlook.
You can export the filtered view using the Download CSV button. For reuse policies, refer to the site terms.
Grid Stability is a 0–10 score intended to summarize reliability and resilience. In practice it relates to factors such as outage frequency, reserve adequacy, transmission robustness, and operational flexibility.
The Duck Curve describes a daily pattern where solar generation is high midday but drops sharply at sunset while demand rises. The evening ramp can require fast flexibility (storage, demand response, or quick-start generation) to avoid reliability events.
LCOS (Levelized Cost of Storage) estimates the average cost of energy delivered by a storage system across its lifetime, accounting for capex, efficiency losses, degradation, and O&M. It is a key metric for comparing storage economics across regions.
A peaker plant (often gas) is designed to run during peak demand periods. Comparing LCOS to peaker costs helps evaluate whether storage is the more cost-effective option to meet peak reliability needs.
Updates are periodic and methodology is versioned. For enterprise reporting, each update should be tied to specific sources and timestamps.
Use the stability score and trend signal to shortlist regions, then validate with project-level economics (LCOE/LCOS), interconnection constraints, demand-charge exposure, and local policy risk.
Use these tools and guides to evaluate energy project economics and grid fundamentals.