Key Takeaways
- Global solar PV capacity reached 1,053 GW by the end of 2022, representing 4.7% of total global electricity capacity.
- In 2023, new solar PV installations worldwide totaled 447 GWdc, a 50% growth over 2022's 297 GWdc.
- Solar PV accounted for 75% of all newly added renewable capacity globally in 2022.
- Global onshore wind capacity reached 899 GW by end-2022, generating 2,157 TWh.
- In 2023, global wind capacity additions hit 117 GW, with 75% onshore.
- Offshore wind capacity worldwide stood at 72 GW by end-2023, up 18 GW from 2022.
- Global hydropower capacity totaled 1,416 GW by end-2023.
- Hydropower generated 4,250 TWh globally in 2023, 15% of world electricity.
- China holds 421 GW hydropower capacity, 30% of global total in 2023.
- Global bioenergy capacity reached 150 GW by end-2023.
- Bioenergy generated 600 TWh electricity globally in 2023, 2.3% of total.
- Global geothermal capacity stood at 15.9 GW in 2023.
- Global renewable capacity reached 3,870 GW by end-2023, 86% growth since 2013.
- Renewables generated 30% of global electricity in 2023, up from 19% in 2013.
- Global renewable investment hit $1.8 trillion in 2023, double fossil fuels.
Solar power leads a record surge in global renewable energy growth.
Bioenergy and Geothermal
Bioenergy and Geothermal Interpretation
Global Renewables Overview
Global Renewables Overview Interpretation
Hydropower
Hydropower Interpretation
Solar Energy
Solar Energy Interpretation
Wind Energy
Wind Energy Interpretation
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 Renewable Energy Statistics. Gitnux. https://gitnux.org/global-renewable-energy-statistics
Christopher Morgan. "Global Renewable Energy Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/global-renewable-energy-statistics.
Christopher Morgan. 2026. "Global Renewable Energy Statistics." Gitnux. https://gitnux.org/global-renewable-energy-statistics.
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