Global Daily Power Plant Emissions from Near-Real-Time Generation Data

Global near-real-time daily emissions of atmospheric pollutants from power plants are provided. The dataset integrates nearly 3 million hourly-to-daily power generation records from 57 countries, covering over 10,000 plants. It was created by Tao Li and last updated in April 2026.

Use Cases

• Model daily air pollutant concentrations using plant-level location and emission data.
• Analyze trends in power plant emissions by integrating near-real-time generation records.
• Assess regional emission contributions using plant location and installed capacity information.
• Validate emission inventories by comparing daily, plant-level data with aggregated reports.

Strengths

• Covers approximately 81% of global fossil-fuel-based electricity generation.
• Integrates fundamental information on more than 10,000 power plants worldwide.
• Provides daily, plant-level granularity for multiple pollutants.

Limitations

• Specific row count and pollutant column names are not provided.
• Coverage is limited to 57 countries, not fully global.
• Sample data is unavailable to verify data structure and completeness.

Provenance

Source

Integration of multi-energy power generation records and fundamental plant information.

Collection Method

Constructed by integrating nearly 3 million hourly-to-daily generation records with plant location and capacity data.

Time Range

Daily, near-real-time.

Freshness

Updated daily (near-real-time).

Geography

57 countries, global coverage for over 10,000 power plants.