Key Takeaways
- In 2023, coal generation remained resilient: Ember reports coal’s share fell but generation continued at high levels
- Global CO2 intensity of power generation improved due to renewables expansion; IEA notes declining emissions per kWh in advanced grids
- In 2023, additions of wind and solar capacity outpaced additions of other generation types in many markets, per IRENA capacity statistics
- World primary energy consumption grew to about 605 exajoules (EJ) in 2022/2023 in Energy Institute/BP accounting, reflecting continued demand growth
- Methane intensity improvements are measured as reduced methane emissions per unit of production; IEA reports progress but highlights a gap vs targets
- Global gas production averaged about 4.0 trillion cubic meters in 2023 (IEA gas market reporting context)
- Energy sector CO2 emissions rose by 1.1% in 2023 to 37.4 GtCO2 (IEA estimate), reflecting ongoing fossil fuel demand
- Coal use for power generation increased in 2023, with IEA reporting continued coal demand resilience
- In 2023, global oil demand averaged about 102.8 million barrels per day (mb/d), according to IEA’s oil market estimates
- Global LNG trade reached 407 million tonnes in 2023 (around 37% of global gas trade), per IEA LNG market reporting
- Carbon capture, utilization and storage (CCUS) investment was about $5 billion in 2023, reflecting continued early-stage scaling
- Global final energy consumption increased by 2.2% in 2023, per IEA’s energy balance trends
- Global heat demand is projected to rise by about 50% by 2050 under current policies, affecting long-term decarbonization requirements (IEA’s heat outlook framing)
- Global energy efficiency improvements averaged around 2% per year in the period studied by IEA, but remain insufficient to meet climate goals (IEA Energy Efficiency 2024)
- 3.3% global GDP growth in 2023 (World Bank) — annual macro context for energy demand sensitivity
In 2023 demand stayed strong and fossil emissions rose, even as cleaner power and investment slowly advanced.
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Investment & Finance
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How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Christopher Morgan. (2026, February 13). Global Energy Industry Statistics. Gitnux. https://gitnux.org/global-energy-industry-statistics
Christopher Morgan. "Global Energy Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/global-energy-industry-statistics.
Christopher Morgan. 2026. "Global Energy Industry Statistics." Gitnux. https://gitnux.org/global-energy-industry-statistics.
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