Recent Additions to the EDC

Overview

The raw NPG data is available from their Open Data Portal.

Methodology

Coverage and update rate

Units

Acknowledgements

Estimates of fuel poverty at the regional level are taken from the main fuel poverty statistics for 2022. Estimates at the sub-regional level are modelled and constrained to regional totals, they should only be used to look at general trends and identify areas of particularly high or low fuel poverty. They should not be used to identify detailed trends over time.

Charging sessions data from Scottish chargepoints from September 2024 through October 2025 supplemented with demographic data provided by the ONS.

Merged Distribution Network Operator (DNO) Source dataset consolidates essential data sourced from various DNOs into a single comprehensive dataset providing a consistent summary of commonly required information, such as voltage, capacity and substation ID.

This annual publication provides a comprehensive view of the latest statistical trends and analysis of fuel poverty in England in 2024. Fuel poverty in England is measured using the Low Income Low Energy Efficiency (LILEE) indicator. Under this indicator, a household is considered to be fuel poor if: they are living in a property with a fuel poverty energy efficiency rating of band D or below and when they spend the required amount to heat their home, they are left with a residual income below the official poverty line.

Synthetic (i.e., computer-generated as opposed to real) monthly electric vehicle charging sessions, and their corresponding weekly charging profiles, for every public chargepoint listed in the national chargepoint database as of November 2024. Note that this is an initial version of this dataset and as such the data values may not be very realistic at this stage. We expect to improve these values over time to make the more realistic.

Overview

The raw UKPN data is available from their Open Data Portal.

Methodology

Coverage and update rate

Units

Acknowledgements

The UK's energy use by industry (SIC 2007 group - around 130 categories), source (for example, industrial and domestic combustion, aircraft, road transport and so on - around 80 categories) and fuel (for example, anthracite, peat, natural gas and so on - around 20 categories), 1990 to 2023.

Overview

The raw SSEN data is available from their Open Data Portal.

Methodology

Coverage and update rate

Units

Acknowledgements

This is an evidence base of available literature on the impacts of offshore renewable energy developments (fixed-base wind, floating wind, wave and tidal) and the outcomes for marine ecosystem services. The evidence was collated through a systematic search of global primary literature (also known as peer-reviewed or published literature) and UK grey literature regarding the impacts of OWF developments (the scope for including global grey literature was unfeasible). Grey literature refers to multiple types of report or document, and is defined as: "information produced on all levels of government, academia, business and industry in electronic and print formats not controlled by commercial publishing" i.e. where publishing is not the primary activity of the producing body (ICGL, 1997). Data was extracted from each evidence source, for each subject or marine ecosystem component that was impacted by the OWF development, the phase of development, the specific pressure and other relevant information about the wind farm or location. Expert judgement was used to map each piece of evidence for impacts on the marine environment according to CICES (Common International Classification of Ecosystem Services) or MEA (Millenium Ecosystem Assessment) and other published classification systems for ecosystem services (Ryfield et al., 2019; Hooper et al., 2020). The dataset was created to provide a central evidence base of available primary (2002-2025) and grey literature (2012-2022) regarding the impacts of offshore renewable developments (for construction, operational and decommissioning phases) on ecosystem service outcomes in the marine environment. The primary literature represents a global semi-systematic search, while the grey literature is restricted to a semi-systematic search for reports and documents from the UK that relate to offshore wind farms only. The database provides a comprehensive list of available literature on this topic, and it enables the assessment and comparison of the evidence for environmental impacts and ecosystem service outcomes between primary and grey literature sources. This will be critical for marine policy makers when gathering evidence for future developments and advances understanding of the impacts and trade-offs associated with developments and ecosystem services. This database can also be accessed through the ORIES (Offshore Renewable Impacts on Ecosystem Services) decision support tool www.ories.pml.space.

This dataset supersedes an earlier version in our records. It can be found at 554a8785-3f6f-4202-a742-d55708391a0a

A survey was undertaken with UK energy and climate change stakeholders involved in and/or effected by Brexit - it was undertaken as part of the UK Energy Research Centre (UKRC) funded project on 'Brexit and UK Net Zero Energy Policy'. The survey was designed to ascertain views on the implications of Brexit for energy and climate change policy and politics, and to build knowledge about actual effects in practice. There were 83 respondents - from UK government (Westminster and devolved), business (mainly energy industry and finance), think tanks and non-governmental organisations (NGOs), academics researching Brexit, and representatives of EU countries.

Data from the survey was used to inform the analysis underpinning 2 papers: the UK Energy Research Centre (UKERC) policy briefing paper, Brexit Implications for UK Decarbonisation Objectives, and the Policy & Politics journal article, Brexit Implications for Sustainable Energy in the UK.

The programme was funded by UK Research and Innovation (UKRI) under the Industrial Strategy Challenge Fund. Its aim: to work with businesses, communities and academics to explore intelligently joining up energy supply, storage and use at a local and regional level.

We live, work and travel in regions, cites, towns and communities. Yet our energy infrastructure is still very centralised - sending energy one way, from bulk supply points to the networks' edges where we live and work.

This programme asked: what if we could bring together energy supply, storage and use to create energy-smart places, enabled by the latest technologies? Could we balance supply and demand locally, improve flexibility and resilience, save costs and carbon, and create new ways of living with energy?

With £104m of funding from UKRI, the programme funded over 80 projects around the UK, from feasibility studies to large-scale demonstrators.