Rethinking S-curves for policy-driven energy technologies
Artikel i vetenskaplig tidskrift, 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

Författare

Avi Jakhmola

Chalmers, Rymd-, geo- och miljövetenskap, Fysisk resursteori

Jessica Jewell

Universitetet i Bergen

Chalmers, Rymd-, geo- och miljövetenskap, Fysisk resursteori

Internationales Institut fuer Angewandte Systemanalyse

Vadim Vinichenko

Chalmers, Rymd-, geo- och miljövetenskap, Fysisk resursteori

Aleh Cherp

Közép-Európai Egyetem

Lunds universitet

Joule

25424351 (eISSN)

102526

Mechanisms and actors of Feasible Energy Transitions (MANIFEST)

Europeiska forskningsrådet (ERC) (950408), 2021-03-01 -- 2026-02-28.

Ämneskategorier (SSIF 2025)

Nationalekonomi

Fusion, plasma och rymdfysik

Energisystem

Astronomi, astrofysik och kosmologi

Meteorologi och atmosfärsvetenskap

DOI

10.1016/j.joule.2026.102526

Relaterade dataset

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

DOI: 10.5281/zenodo.20065454

Mer information

Senast uppdaterat

2026-06-29