UK Renewables Statistics (DESNZ Collection)

UK Renewables Statistics (DESNZ Collection) is the Renewable Electricity catalog's record of what the United Kingdom's own energy department counts when it counts renewables. The Department for Energy Security and Net Zero publishes the collection as five streams: the Digest of UK Energy Statistics' renewable sources chapter (DUKES tables 6.1 through 6.7), the Energy Trends renewables section, Regional Renewable Statistics, solar PV cost data and MCS certified domestic battery installation figures.

Between them the streams carry installed and de-rated capacity, electricity and heat generation, load factors, shares of total generation and of gross final consumption, station counts, overseas trade in renewable fuels and commodity balances. Annual series run back to 1990 (load factors to 1996), Energy Trends adds quarterly and monthly series from 2011 Q1, and Regional Renewable Statistics splits capacity, generation, site counts and load factors by English region, devolved administration and local authority from 2014 to 2024. Get a sample of this dataset and the whole pack arrives cleaned, typed and documented.

Rows exactly as they land after normalization - three technologies from DUKES table 6.2, the installed capacity panel:

table=DUKES 6.2   metric=Total Installed Capacity (MW)
  technology=Wind: Onshore        1990=9.93    1991=14.09   1992=50.18   1993=131.30
  technology=Hydro: Small scale   1990=47.76   1991=68.96   1992=73.20   1993=76.75
  technology=Solar photovoltaics  1990=0       1991=0       1992=0.17    1993=0.27

Three industries at three stages of life, in four columns. Small-scale hydro arrives already grown up - 47.76 MW in 1990, nearly doubling to 131.30 MW territory within sight of onshore wind. Onshore wind is the startup: 9.93 MW, then 50.18, then 131.30, a compounding curve. And solar photovoltaics is flat-out zero in 1990 and 1991 before a first 0.17 MW flickers in for 1992 - which is why the zeros matter and should never be coerced to nulls.

Fast-forward the same onshore-wind row and the field dictionary's reference values take over: 16,121 MW installed by the end of the latest reference year, 83,205 GWh generated across all renewable sources, and 23.1 percent of total UK electricity generation. Roughly 1,600 times the 1990 fleet, in one row.

Eight verified core fields, written against the published tables rather than guessed. Measurement fields come in pairs by design: raw capacity sits beside de-rated capacity (hydro de-rated at 0.365, wind at 0.43, solar PV at 0.17), and load factors appear on two bases - against the average of beginning- and end-of-year capacity, and restricted to schemes operating on an unchanged configuration. Mixing the two bases is the classic way to misquote UK load factors.

The remaining fields carry the ratios and the registry view: each technology's generation as a percentage of total UK electricity generation, and the December count of renewable electricity generating stations per technology - 112,940 in the reference example, a number that tells you how much of the UK's renewables story lives at small scale.

Geography: the full United Kingdom, with country-level splits for England, Scotland, Wales and Northern Ireland in the Energy Trends tables. Regional Renewable Statistics goes further - English regions, the devolved administrations and individual local authorities, each with annual capacity, generation, site counts and load factors.

Temporal: DUKES annual capacity and generation series run from 1990 to 2025; the load-factor tables start in 1996. Energy Trends contributes quarterly and monthly series from 2011 Q1 onward, so the same collection serves a thirty-five-year structural view and a current-quarters operational view. Local-authority series run 2014 to 2024.

Granularity: national annual, quarterly and monthly series; regional and local-authority annual series. Technology is the standing dimension throughout - onshore and offshore wind, hydro by scale, solar PV, and the bioenergy and biofuels streams covered in the commodity-balance and trade tables.

API, files, or your warehouse. Daily, weekly, or hourly.

Pick the channel your stack already speaks. The rows arrive identical either way - one typed record per technology, metric and period, extracted so nobody on your team re-stitches fifteen spreadsheets a cycle by hand.

Every delivery ships with the field dictionary above plus these sample rows for validation, so your first join lands against evidence, not hope.

• Market sizing and policy analysis - capacity, generation, heat and biofuels in one national frame, which is why consultants reach for it before any UK renewables engagement; worked flows continue on our market sizing page.
• Load-factor and yield research - two documented load-factor bases back to 1996 ground returns models and yield assumptions for UK assets; see investors & quants use cases.
• Deployment modelling - thirty-five years of annual history plus quarterly and monthly Energy Trends series make a clean training panel; see data scientists use cases.
• Territory targeting - local-authority capacity and site counts rank areas for installers, suppliers and service teams; see developers & builders use cases.
• Citation-grade claims - Accredited Official Statistics that resolve to a named department and table, not a press release; see citation-grade research.

Market Researchers & Consultants get the national frame: capacity, generation, heat, biofuels and solar costs from one authoritative collection instead of a folder of downloads. Journalists, Academics & Students get quotable official statistics - DUKES from 1990, Energy Trends from 2011 Q1, local-authority detail - that survive a fact-check. Data Scientists & ML Engineers get a typed, technology-by-period panel long enough to train deployment models on. Investors & Quant Researchers get the load-factor record since 1996 and quarterly generation as the reality check on UK asset returns models. Sales & Growth Teams get the local-authority ranking that turns 'the UK solar market' into a call list. Competitive Intelligence & Product Teams read the MCS battery-installation figures and solar PV cost data as adoption momentum behind home-energy products.

The international aggregators buy comparability and pay for it in depth. IRENA's IRENASTAT covers roughly 226 geographies from 2000 and the IEA Renewables Data Explorer adds forecasts to 2030 - but neither descends below the national level, and neither carries DUKES' de-rated capacities, dual-basis load factors or station registry. This collection is the opposite trade: one country, all the way down to local authorities.

Against hourly grid datasets the difference is temporal resolution versus completeness. The OPSD Time Series Package gives you 15-minute load and wind/solar output for 32 European countries; it cannot tell you how many renewable generating stations existed in December or what biofuels did to the commodity balance. We pair them in the OPSD vs UK Renewables Statistics comparison.

Four things worth knowing upfront. First, the load-factor tables report on two bases - average of beginning and end of year capacity, and unchanged-configuration schemes - so always name your basis when quoting. Second, de-rated capacity applies fixed intermittency factors rather than observed output; it is a planning margin, not a production forecast. Third, the local-authority series run 2014 to 2024, so hyper-local trend work has a shorter runway than the national series. Fourth, the solar PV cost data and MCS battery-installation attachments carry their own column layouts that we verify with the sample rather than guess at - ask and the full sheets arrive with it.

• OPSD Time Series Package (Load, Wind & Solar Hourly) - the high-frequency counterpart: hourly and sub-hourly load, wind, solar and prices for 32 European countries.
• IEA Renewables Data Explorer / Renewable Energy Progress Tracker - historical series plus 2030 main-case and accelerated-case forecasts across electricity, heat and fuels.
• IRENASTAT Online Data Query Tool - the intergovernmental standard for cross-country capacity and generation comparisons from 2000.
• Our World in Data - Renewable Energy & Electricity Mix - chart-ready cross-country shares when the question is comparative rather than administrative.
• Best renewable-electricity datasets - the ranked shortlist across all cataloged sources in the industry.
• Renewable electricity data hub - every dataset, use case and persona page for the industry in one place.