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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