Rethinking S-curves for policy-driven energy technologies

Jakhmola, A., Jewell, J. ORCID: https://orcid.org/0000-0003-2846-9081, Vinichenko, V., & Cherp, A. (2026). Rethinking S-curves for policy-driven energy technologies. Joule p. 102526. 10.1016/j.joule.2026.102526. (In Press)

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Abstract

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.

Item Type: Article
Uncontrolled Keywords: energy transitions, renewable energy, climate change mitigation, technology diffusion, solar PV, wind energy, growth models, S-curves, time series forecasting, backtesting
Research Programs: Advancing Systems Analysis (ASA)
Advancing Systems Analysis (ASA) > Cooperation and Transformative Governance (CAT)
Depositing User: Luke Kirwan
Date Deposited: 03 Jul 2026 08:45
Last Modified: 03 Jul 2026 08:45
URI: https://pure.iiasa.ac.at/21703

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