UK Renewable Penetration and Baseload Cycling (2009–2017)

This dataset, released via Zenodo (#3474820), tracks how the UK electricity grid managed its base-load thermal generators in response to rising renewable energy from 2009 to 2017 — 3,268 weekly observations across 11 metrics. "Base-load cycling" refers to the costly practice of repeatedly starting up and shutting down large power plants (coal, gas, nuclear) to compensate for the variability of wind and solar, and the data reveals just how much that burden grew: severe ramping events ranged from as few as 18 to as many as 175 per period (median 71), while base-load startups swung between 4 and 83 per period. The most striking pattern is how wind dominates the renewable story — metered wind alone (median 28K MWh, peaking at 194K MWh) is almost perfectly correlated with total renewable penetration (r²=0.92), while solar barely registers outside summer months (median 5K MWh, dropping to zero in winter). IRES penetration climbed to as high as 34% in peak wind weeks, yet the load factor of base-load plants remained a relatively stable 0.73 on average — suggesting the grid absorbed most variability through cycling frequency rather than capacity utilisation. For energy policy researchers, this dataset is a concrete record of the hidden operational costs that accompanied the UK's renewable buildout before large-scale storage existed.

• Wind generation grew 5x from 8.1 TWh to 40.8 TWh, while solar went from near-zero to 10.4 TWh by 2017
• Total grid generation fell 8% (326.5 → 301.2 TWh) as demand declined and renewables displaced fossil baseload
• Baseload load factor dropped most sharply 2011–2015 (75.0% → 70.7%), coinciding with the fastest renewable build-out
• Severe ramping events averaged 64–76 per day throughout the period, showing no clear trend despite rising intermittency
• Daily baseload startups peaked in 2012 at 28.6/day then eased to 24.8/day by 2017, suggesting grid operators adapted