The National Energy Efficiency Data-Framework (NEED) was set up to provide a better understanding of energy use and energy efficiency in domestic and non-domestic buildings in Great Britain. The data framework matches data about a property together - including energy consumption and energy efficiency measures installed - at household level.
We identified 2 processing errors in this edition of the Domestic NEED Annual report and corrected them. The changes are small and do not affect the overall findings of the report, only the domestic energy consumption estimates. The revisions are summarised here:
Error 2: Some properties incorrectly excluded from the Scotland multiple attributes tables
We identified 2 processing errors in this edition of the Domestic NEED Annual report and corrected them. The changes are small and do not affect the overall findings of the report, only the domestic energy consumption estimates. The impact of energy efficiency measures analysis remains unchanged. The revisions are summarised here:
The Department of Energy and Climate Change (DECC) has collected and published energy consumption data within the Digest of UK Energy Statistics since 1948. Over recent years there has been a greater focus on more detailed information to help support policy development. To support this, DECC has created the National Energy Efficiency Data-Framework (NEED). This a data framework made up of data from difference sources. Annual gas and electricity consumption data are matched, at an individual property level, with information about energy efficiency measures installed at the property and property attributes. The Framework was first announced in the Heat and Energy Saving Strategy in 2009 and was developed by DECC in order to assist DECC in its business plan priority to 'save energy with the Green Deal and support vulnerable consumers'. It forms a key element of DECC's evidence base supporting DECC to: develop, monitor and evaluate key policies; identify energy efficiency potential which sits outside the current policy framework; develop a greater understanding of the drivers of energy consumption; and gain a deeper understanding of the impacts of energy efficiency measures for households and businesses. Regular outputs from NEED are published by DECC and available on the gov.uk National Energy Efficiency Data-Framework (NEED) webpage.
The Department for Business, Energy & Industrial Strategy has also made an anonymised version of the dataset available for analysis by a wider audience to help support these aims. The anonymised dataset includes meter point gas and electricity consumption data; information on energy efficiency of households including measures installed; and property attributes. This is available on the gov.uk National Energy Efficiency Data-Framework (NEED): anonymised data webpage.
The data explorer allows users to create bespoke cross tabs and charts on consumption by property attributes and characteristics, based on the data available from NEED. Two variables can be selected at once (for example property age and property type), with mean, median or number of observations shown in the table. There is also a choice of fuel (electricity or gas). The data spans 2008 to 2022.
Figures provided in the latest version of the tool (June 2024) are based on data used in the June 2023 National Energy Efficiency Data-Framework (NEED) publication. More information on the development of the framework, headline results and data quality are available in the publication. There are also additional detailed tables including distributions of consumption and estimates at local authority level. The data are also available as a comma separated value (csv) file.
If you have any queries or comments on these outputs please contact: energyefficiency.stats@energysecurity.gov.uk.
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This report presents statistics on the metered electricity and gas consumption of non-domestic buildings in England and Wales for 2012 to 2022, with analysis by:
It also presents statistics about the ND-NEED non-domestic building stock in England and Wales, by year of construction and business size.
The geographical annex additionally presents analysis disaggregated by England and Wales geographies (including local authorities and parliamentary constituencies), as well as analysis of the non-domestic building stock by gas grid status.
Data tables for impact of measures analysis which assess the impact of installing home efficiency measures such as loft insulation on household energy consumption.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
The National Energy Efficiency Data-Framework (NEED) was set up to provide a better understanding of energy use and energy efficiency in domestic and non-domestic buildings in Great Britain. The data framework matches gas and electricity consumption data, collected for BEIS sub-national energy consumption statistics, with information on energy efficiency measures installed in homes, from the Homes Energy Efficiency Database (HEED), Green Deal, the Energy Company Obligation (ECO) and the Feed-in Tariff scheme. It also includes data about property attributes and household characteristics, obtained from a range of sources.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
The National Energy Efficiency Data-Framework was set up to provide a better understanding of energy use and intensity in domestic and non-domestic buildings. These documents provide data on non-domestic energy use.
Data includes consumption for a range of property characteristics such as age and type, as well as a range of household characteristics such as the number of adults and household income.
The content covers:
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
The Domestic National Energy Efficiency Data-Framework (NEED) brings together information on domestic gas and electricity consumption with other information about domestic properties and the households that live in them. The full NEED dataset is not published. However, DESNZ publishes two samples of the full NEED dataset (one containing 4,000,000 properties and one containing 50,000 properties) designed to be representative of domestic properties in England and Wales, while ensuring that information about individual households remains protected.
Annual gas and electricity consumption data for individual meters matched at property level to other information on the energy efficiency measures in the properties and characteristics of the property and occupiers
These documents present updated record level data created from the National Energy Efficiency Data-Framework (NEED):
Please forward any feedback to energyefficiency.stats@energysecurity.gov.uk.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Energiatõhususe riiklik andmeraamistik (NEED) loodi selleks, et paremini mõista energiatarbimist ja energiatõhusust Suurbritannia kodu- ja välismaistes hoonetes. Andmeraamistik vastab gaasi- ja elektritarbimise andmetele, mis on kogutud BEISi piirkondliku energiatarbimise statistika jaoks, ning kodumajapidamiste energiatõhususe andmebaasist saadud teabele kodumajapidamiste energiatõhususe meetmete kohta (soojendatud).See hõlmab ka mitmesugustest allikatest saadud andmeid kinnisvara omaduste ja leibkonna omaduste kohta. NB! Vigadeade avaldati 4. augustil 2021. Lähteasutus: Äri-, energia- ja tööstusstrateegia
Nimetus: Riiklik statistika (jõustus 2015. aasta veebruarist)
Keel: Inglise
Alternatiivne pealkiri: VAJADUS
The Household Electricity Survey monitored electricity consumption at an appliance level in 250 owner-occupied households across England from 2010-2011. The aim of the project was to investigate the potential for electricity savings by replacing existing appliances and lighting with more efficient alternatives. The study also investigated the opportunities for reducing peak electricity demand. Extensive analysis was undertaken on appliance ownership, efficiency labels, actual efficiencies and potential for electricity savings in different social groups. The study has also examined the scope for reducing peak electricity demand.
Households were selected to take part in the survey on the basis of the life-stage of the occupants. Of the 250 households surveyed, 26 were monitored for a period of one year and the rest were monitored for periods of one month at intervals throughout the year. The dwellings were also given an Energy Performance Certificate survey and the occupants were requested to complete survey questions about their environmental attitudes. During the course of the survey period, the occupants also completed diaries of use for some of the products they used.
Reports based on the Household Electricity Survey, information on Energy Consumption in the UK and the National Energy Efficiency Data-Framework (NEED) (including DECC statistics on household electricity demand) can all be found on the gov.uk website.
Compilation or synthesis of existing material
Abstract copyright UK Data Service and data collection copyright owner. The Annual Gas and Electricity Consumption at Meter Level, Great Britain, 2004-2022: Secure Access study includes annual gas and electricity consumption data at an individual property level, covering England, Scotland and Wales from 2004 onwards. Both domestic and non-domestic properties are included. Full postcode is available, as well as a property reference number which can be used to match to other sources from the National Energy Efficiency Data-Framework (NEED). Main Topics: Annual gas and electricity consumption data at an individual property level. No sampling (total universe) Measurements and tests
The data framework matches gas and electricity consumption data, collected for DECC sub-national energy consumption statistics, with information on energy efficiency measures installed in homes, from the Homes Energy Efficiency Database (HEED). It also includes data about property attributes and household characteristics, obtained from a range of sources.
Abstract copyright UK Data Service and data collection copyright owner. The Household Electricity Survey monitored electricity consumption at an appliance level in 250 owner-occupied households across England from 2010-2011. The aim of the project was to investigate the potential for electricity savings by replacing existing appliances and lighting with more efficient alternatives. The study also investigated the opportunities for reducing peak electricity demand. Extensive analysis was undertaken on appliance ownership, efficiency labels, actual efficiencies and potential for electricity savings in different social groups. The study has also examined the scope for reducing peak electricity demand. Households were selected to take part in the survey on the basis of the life-stage of the occupants. Of the 250 households surveyed, 26 were monitored for a period of one year and the rest were monitored for periods of one month at intervals throughout the year. The dwellings were also given an Energy Performance Certificate survey and the occupants were requested to complete survey questions about their environmental attitudes. During the course of the survey period, the occupants also completed diaries of use for some of the products they used. Reports based on the Household Electricity Survey, information on Energy Consumption in the UK and the National Energy Efficiency Data-Framework (NEED) (including DECC statistics on household electricity demand) can all be found on the gov.uk website. Simple random sample Face-to-face interview Diaries Physical measurements
This report presents statistics on the metered electricity and gas consumption of non-domestic buildings in England and Wales for 2012 to 2023, with analysis by:
It also presents statistics about the ND-NEED non-domestic building stock in England and Wales, by year of construction and business size.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
These data underpin an analysis of the time-sensitive impacts of energy efficiency and flexibility measures in the U.S. building sector using Scout (scout.energy.gov), a reproducible and granular model of U.S. building energy use developed by the U.S. national labs for the U.S. Department of Energy's Building Technologies Office.
The analysis applies sub-annual adjustments to U.S. baseline building energy use, cost, and emissions in order to characterize how these metrics vary across hour of the day, season, and geographic region in the U.S. building sector. These adjustments are based on daily energy load, price, and emissions shapes from various data sources and are used to re-apportion baseline energy, cost, and emissions totals from EIA's Annual Energy Outlook (AEO) Reference Case projections across all hours of a year. The resulting sub-annual baselines are specified by building sector, end use, region, and season and can be used in analyses of building efficiency and flexibility measures to quantify their time-sensitive impacts at the national scale. Analyses of these data demonstrate that energy efficiency measures continue to show strong value under a time-sensitive framework while the value of flexibility depends on assumed electricity rates, measure magnitude and duration, and the amount of savings already captured by efficiency.
The data uploaded below include CSV files that show hourly energy use, cost, and emissions totals for the U.S. building sector as well as by end-use, region, and season. An additional CSV includes residential and commercial price intensities (USD/quad) for all hours of the day based on different time-of-use (TOU) rate data from the U.S. Utility Rate Database (URDB). Further detail on each of these CSVs is given below:
'TSV_baseline_totals.csv': this file shows hourly total energy, cost, and emissions estimates for commercial and residential buildings in 2018 and 2030. It presents these estimates in Quads (source), Quads (site), and TWh (site). For the cost totals, it presents two estimates for each year and building sector, including one using the median TOU rate from the URDB and one using the average retail rate for the corresponding building sector. For converting source energy to site, total delivered electricity and electricity-related losses data for the residential and commercial sector are drawn from AEO Summary Table A2.
'TSV_baseline_end-use.csv': this file shows hourly energy, cost, and emissions estimates for commercial and residential buildings in 2018 and 2030 broken out by building end-use. It presents totals in terms of both source and site energy as above and presents cost totals based on the median TOU rate for each building sector from the URDB.
'TSV_baseline_region.csv': this file shows hourly energy, cost, and emissions estimates for commercial and residential space heating and cooling end uses in 2018 and 2030 for each American Institute of Architects (AIA) climate zone. It presents totals in terms of both source and site energy as above and presents cost totals based on the median TOU rate for each building sector from the URDB.
'TSV_baseline_region_season.csv': this file shows a similar disaggregation of the data as ‘TSV_baseline_region.csv’, but it further disaggregates results by season. The seasonal definitions are as follows: 'intermediate' (October to November; March to April), 'winter' (November to February), and 'summer' (May to September).
'TSV_annual_price_intensities.csv': this file presents annual hourly price intensities for the commercial and residential building sectors in 2018 and 2030 based on different TOU rate data from the URDB. Three different rate structures are included for each building sector, and these are the 5th, 50th, and 95th percentile of all existing commercial and residential TOU rates in the URDB in terms of their peak to off-peak price ratio.
The Energy Efficiency Directive 2012/27/EU (EED) and amending directive 2018/2002/EU establish a common framework for the promotion of energy efficiency within the Union in order to ensure the achievement of the Union’s target of 20 % reduction in energy consumption by 2020 and 32 % by 2030, and to pave the way for further energy efficiency improvements beyond that date. It also calls on Member States to set their own indicative national energy efficiency targets. Since early access to the most recent information on energy consumption is relevant for all stakeholders, the EEA and its European Topic Centre for Climate Change Mitigation and Energy (ETC/CME) produce each year a set of early estimates concerning the consumption of primary and final energy in the previous year, across the EU as a whole and in each Member State. These estimates are compatible with the scope of the energy efficiency targets for 2020 and 2030, and they correspond to the indicator codes PEC2020-2030 and FEC2020-2030 from Eurostat. The current data set concerns the EEA 2021 proxies on primary and final energy consumption (PEC2020-2030; FEC2020-2030).
The National Energy Efficiency Data-Framework (NEED) was set up to provide a better understanding of energy use and energy efficiency in domestic and non-domestic buildings in Great Britain. The data framework matches data about a property together - including energy consumption and energy efficiency measures installed - at household level.
We identified 2 processing errors in this edition of the Domestic NEED Annual report and corrected them. The changes are small and do not affect the overall findings of the report, only the domestic energy consumption estimates. The revisions are summarised here:
Error 2: Some properties incorrectly excluded from the Scotland multiple attributes tables
We identified 2 processing errors in this edition of the Domestic NEED Annual report and corrected them. The changes are small and do not affect the overall findings of the report, only the domestic energy consumption estimates. The impact of energy efficiency measures analysis remains unchanged. The revisions are summarised here: