Rethinking S-curves for policy-driven energy technologies
Journal article, 2026

Debates about the future of wind and solar power are often framed around a false binary: either these technologies will continue accelerating or they are already losing momentum. Both views assume that renewables follow an S-curve with near-exponential expansion followed by slowdown. Using national deployment data, we show that renewables’ growth departs from ideal S-curves. Instead, it proceeds through a formative phase of erratic growth, followed by takeoff and brief acceleration that ends at low levels of market penetration (≈3% of electricity generation). Renewables then enter a prolonged steady growth phase punctuated by pulses of acceleration and deceleration, with an overall cruising speed that is slower than the first growth peak (≈0.7 percentage points [p.p.] year−1; interquartile range [IQR]: 0.4–1.5 for wind and 0.3–1.9 for solar). We develop diagnostic tools and metrics for these phases. Hindcasting shows that these outperform year-on-year trends and fitted S-curve parameters. Peak growth in front-runner countries provides a reliable upper bound for global expansion.

technology diffusion

energy transitions

time series forecasting

S-curves

wind energy

backtesting

growth models

renewable energy

climate change mitigation

solar PV

Author

Avi Jakhmola

Chalmers, Space, Earth and Environment, Physical Resource Theory

Jessica Jewell

University of Bergen

Chalmers, Space, Earth and Environment, Physical Resource Theory

International Institute for Applied Systems Analysis

Vadim Vinichenko

Chalmers, Space, Earth and Environment, Physical Resource Theory

Aleh Cherp

Central European University

Lund University

Joule

25424351 (eISSN)

102526

Mechanisms and actors of Feasible Energy Transitions (MANIFEST)

European Research Council (ERC) (950408), 2021-03-01 -- 2026-02-28.

Subject Categories (SSIF 2025)

Economics

Fusion, Plasma and Space Physics

Energy Systems

Astronomy, Astrophysics, and Cosmology

Meteorology and Atmospheric Sciences

DOI

10.1016/j.joule.2026.102526

Related datasets

entapresearch/beyond_s-curves: v1.0.0 [dataset]

DOI: 10.5281/zenodo.20065454

More information

Latest update

6/29/2026