Probabilistic projections of global wind and solar power growth based on historical national experience
Journal article, 2026

Despite the recent surge of wind and solar power, both technologies need to accelerate to meet climate goals. Yet, there are no robust methods to assess the likelihood of such acceleration. Here we show that renewable energy deployment follows a recurring pattern across countries with prolonged periods of relatively steady growth punctuated by growth pulses. Based on this insight and on observed growth trajectories in early adopting countries, we develop a probabilistic model (PROLONG) for projecting global wind and solar power deployment. In our central projections, both wind and solar power grow similarly to Intergovernmental Panel on Climate Change 2 °C-compatible pathways and faster than in current policy scenarios. The COP28 pledge to triple renewables by 2030 is near the 95th percentile of our projections and requires that the growth of wind and solar photovoltaics in major economies accelerate by 1.4–3 times and 2–5 times, respectively. PROLONG can be adopted for data-driven projections of other policy-dependent energy technologies.

Author

Avi Jakhmola

Chalmers, Space, Earth and Environment, Physical Resource Theory

Jessica Jewell

Chalmers, Space, Earth and Environment, Physical Resource Theory

International Institute for Applied Systems Analysis

University of Bergen

Vadim Vinichenko

Chalmers, Space, Earth and Environment, Physical Resource Theory

Aleh Cherp

Central European University

Lund University

Nature Energy

20587546 (eISSN)

Subject Categories (SSIF 2025)

Energy Systems

DOI

10.1038/s41560-026-02021-w

More information

Latest update

4/24/2026