Recent Additions to the EDC

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

Many energy suppliers market their electricity as renewable while continuing to buy fossil-fuelled power, a practice enabled by outdated regulations. To resolve this confusion, Matched uses public data to track what electricity households and businesses are actually receiving, hour by hour, all year.
The Matched Clean Power Index translates public data from Elexon, NESO, and Ofgem into clear, comparable ratings of the renewable electricity customers actually receive, hour by hour. Our methodology has been reviewed by 30+ experts across the sector, including Oxford, Imperial, and leading suppliers.
Matched is an independent, not-for-profit, open-source initiative. We work with suppliers to highlight best practices, with consumer groups to inform households and businesses, and with policymakers to shape stronger standards.
Our goal is to accelerate the practices that most rapidly decarbonise power.

The 'Clean energy jobs plan' sets out, for the first time, the workforce needed to deliver our clean energy ambitions and how the government will work in partnership with industry and trade unions to deliver it. It explains how we will help workers in all parts of the country benefit from these opportunities - supporting our existing workforce to find new opportunities, training up the next generation, and helping our young people to get good jobs.

The increasing need for residential cooling in Great Britain due to rising temperatures could pose significant challenges to the electricity infrastructure. This study estimates the spatiotemporal cooling demand for residential buildings in Great Britain in 2050. A bottom-up methodology using a lumped parameter dynamic thermal model of building was applied to estimate half-hourly cooling demand and the electricity consumptions of cooling devices for representative dwelling archetypes in 41,726 local areas. The upper estimate for annual and peak electricity consumptions for cooling technologies have been estimated to be 9.3 TWh and 62.6 GW, respectively. The study highlights regional demand variations, correlations between the electricity consumption of cooling technologies and electricity generation by distributed photovoltaics, and the moderating effect of higher dwelling thermal capacities on cooling peak demand. These insights highlight the need for electricity infrastructure reinforcement, and integrated strategies for buildings retrofit and renewable energy to ensure system resilience. This is the data behind this study.

The data is excerpts from stakeholder interviews that were used in UKERC's project on green ammonia as a fuel for shipping and aviation.