Search Results: Energy Category: Energy Efficiency

UK household energy consumption (quantiles) aggregated by household income (quantiles) developed by Centre for Sustainable Energy (CSE) for the Distributional Impacts Model for Policy Scenario Analysis (DIMPSA), also used under license by the UK Government for assessment of the distributional impacts of Government policy. Underlying Dimpsa is a comprehensive dataset developed of UK household energy consumption. This dataset is derived from the socio-demographically representative sample of UK households surveyed in the Office of National Statistics Living Costs and Food Survey. Data from six of these surveys (2004/5 to 2009) has been combined, generating a sample size of over 36,000 cases.

The Centre for Sustainable Energy (CSE) Fuel Poverty Calculator has been updated to account for the new definition of fuel poverty: Low Income Low Energy Efficiency (LILEE).

Fuel poverty is when people have to spend a high proportion of their income to keep their home warm due to a combination of poor housing with inadequate insulation and heating, expensive energy tariffs, and low incomes. One outcome for those in fuel poverty is poor physical and mental health. NICE, which provides evidence-based guidance for NHS and social care professionals, recognises that living in a cold home will make most health conditions worse from childhood asthma to heart disease.

The Centre for Sustainable Energy (CSE) has downloaded and compiled selected data relevant to housing and energy use at the lowest available geographical area level from the UK Office for National Statistics 2011 census summary data. Lower Super Output Areas (LSOA) typically contain 70 to 150 households and so cover a relatively small geographical area. The Office for National Statistics publishes summary census data over a range of geographical levels after a national census has been performed. As the 2011 census data has become available, CSE has downloaded and compiled selected datasets at the lowest available geographical area. Output levels typically contain 70 to 150 households and so cover a relatively small geographical area, dependent upon rurality.
CSE has downloaded and joined key data sets from the Office for National Statistics census 2011 website. There are many potentially interesting topics that could be investigated from the data available, and CSE has chosen data that could be relevant to characterising housing and their energy usage.
No processing has been performed on this data, and so for any questions and information about the data users should refer to the Office for National Statistics website. Users should be particularly aware of the statistical disclosure control for 2011 census information.

Carbon Reduction Commitment Energy Efficiency Scheme (CRC) participant information on the basis of their annual reports plus details submitted when they registered for the scheme. Each year, CRC participants have to monitor their energy consumption and report this information into the CRC Registry, an online IT system, which calculates their carbon dioxide (CO2) emissions. Participants must purchase and surrender 'allowances' to cover these emissions - one allowance for each tonne of CO2. Further information on the scheme can be found on the CRC pages of GOV.UK
The data should be read in combination with the equivalent years CRC Energy Efficiency Scheme: annual report publication which are located on GOV.UK

Half hourly gas and electricity (and water) consumption data ( not all utilities were monitored at every site) gathered during the Carbon Trusts Advanced Metering for SMEs project (2004-2006). The data was collected from a portfolio of sites by seven independent metering contractors. Sites are characterized by the number of employees, the geographical location, and geographical region. (Please acknowledge The Carbon Trust when making any use of this data)
Meter readings are available for small and medium-sized enterprises (SMEs).The majority of meter readings are for electricity; monitoring of other utilities (gas and water) was available on some sites. Unless otherwise indicated data sets are for electricity; where multiple meters were deployed they are designated (e) for electricity, (g) for natural gas, and (w) for water. In a minority of cases metering on the site was split between several meters: (e1), (e2), etc. The absence of a link indicates some problems in matching the site identifier with the collected data set.
The sectors covered are:-

• Community, social and personal activities
• Education
• Financial and business services
• Government
• Health and social work
• Manufacturing
• Other sectors
• Wholesale and retail trade

A ReadMe page is provided for each subsector containing more detailed information for the datasets that are covered. Use of this data resource requires registration with edc: please contact the EDC Manager
The Carbon Trust has published a report summarising the findings of the project at http://www.ieadsm.org/Files/Content/Carbon%20Trust_2011-06-03.pdf and a full report on the advanced metering field trial, its results, findings and recommendations which is available alongside the data at http://data.ukedc.rl.ac.uk/simplebrowse/edc/efficiency/residential/Buildings/AdvancedMeteringTrial_2006/CTC713_AdvancedMeteringForSMEs.pdf.

The annual State of the Sector report is a dataset about the community energy sector. It has always covered England and Wales, and in 2021 include Scottish data for the first time. Reports detail the data from the community energy sector in the previous year.

The Customer-Led Network Revolution project assessed the potential of novel smart grid network technologies, new commercial arrangements and customer flexibility solutions to find cost-effective ways to prepare UK electricity networks for the future. Datasets include Enhanced profiling of domestic customers electric hot water immersion heating & storage heating; Real-Time Thermal Rating for Extra High Voltage Underground Cables; Enhanced Automatic Voltage Control for Low Voltage Network Regulator; and many more Many resources available including datasets, analysis, reports and videos. The datasets are in the Project Library: search for Dataset to find them, including an overview guide to the datasets.

A set of maps, graphs and other figures showing countries power consumptions, population densities, and areas, and comparing power consumptions per unit area with the power production per unit area of various renewables. Created Sir David John Cameron MacKay, FRS, FInstP, FICE, Regius Professor of Engineering in the Department of Engineering at the University of Cambridge. From 2009 to 2014 he was Chief Scientific Adviser to the UK Department of Energy and Climate Change (DECC). Author of the book Sustainable Energy - Without the Hot AirVarious versions of each map, chart or figure are available depending on the intended use, such as higher resolution for printing and as sequences for presentations.

Large collection of statistics on many transport-related subjects, many of which are updated on a monthly basis. This includes the Transport Statistics for Great Britain; in many cases statistics publications during the year provide the first release of data and these are consolidated into the TSGB tables. TSGB is a snapshot of the latest data available at the time of publication. It is published annually The whole set of statistics covers Aviation, Biofuels, Buses, Disabled parking badges, Driving tests and instructors, Free flow speeds, Journey time statistics, Light rail and tram, Maritime and shipping, National Travel Survey, Public attitudes towards transport, Rail, Road accidents and safety, Road congestion and reliability, Road freight: domestic and international, Road network size and condition, Road traffic, Search and rescue helicopter, Taxis, Transport energy and environment, Transport Statistics Great Britain, Vehicles, Walking and cycling

Estimated unit energy consumption per annum (kWh/annum) (2006/2007) for various UK domestic cold appliances (chest freezer, fridge-freezer, refrigerator, upright freezer) by appliance energy class NC08 Assumptions underlying the energy projections for domestic cold appliances, Version 2.1 (2006) and Version 3.0 (2007) from DEFRA MTP. See also DEFRA Market Transformation Programme - efficient-products.ghkint.eu/

The Domestic Heating Data from the Energy Systems Catapult Living Lab covers approximately 100 domestic properties and includes data collected directly from sensors in each room: room temperature, room humidity, gas usage, electricity usage, radiator temperatures, boiler temperatures and water temperatures (hot and cold). Also data on how participants use their heating system: the times they request heating, the target temperatures requests and the type of schedule changes made. Also included are local weather data, including forecasts and local observations. The participants were approximately 100 owner occupied homes with gas boilers from across the United Kingdom.

Estimated ownership of UK domestic washing machines and washer dryers (percentage of households) Historic data suggests that the average annual unit energy consumption for a domestic washing machine in the UK is 268 kWh (1999). It is assumed that a 60C wash uses 40% less energy than a 90C wash; and a 40C wash uses 40% less energy than a 60C wash for estimated number of uses of each cycle). An average load capacity of 5.58 kg in 2006 was assumed, rising by 0.025 kg/year to allow for the future availability of larger capacity machines. Washing machines typically do not adjust water and energy consumption if a smaller load is washed. Average water consumption per wash was estimated to be 50 litres (2006); 80% of energy consumption is for heating water in the wash phase.
It is assumed that the best available appliances will be A (2006-2009) and A+ (2010-2020).
BNW05 Assumptions underlying the energy and water projections for washing machines, Version 2.0 from Defra MTP; data based on Gfk and historical modelling by DECADE and Fawcett, T., Lane K., Boardman, B., et al, 2000, Lower Carbon Futures for European Households, Environmental Change Institute Oxford Appendix F, UK 1 Table 1 (using data from the English Housing Condition Survey)

Estimated unit energy consumption per cycle (2006) for UK domestic washing machines by appliance energy class Historic data suggests that the average annual unit energy consumption for a domestic washing machine in the UK is 268 kWh (1999). It is assumed that a 60C wash uses 40% less energy than a 90C wash; and a 40C wash uses 40% less energy than a 60C wash. An average load capacity of 5.58 kg in 2006 was assumed, rising by 0.025 kg/year to allow for the future availability of larger capacity machines. Washing machines typically do not adjust water and energy consumption if a smaller load is washed. Average water consumption per wash was estimated to be 50 litres (2006); 80% of energy consumption is for heating water in the wash phase.
It is assumed that the best available appliances will be A (2006-2009) and A+ (2010-2020).

The EU ETS data viewer provides access to emission trading data contained in the European Union Transaction Log (EUTL) which is the central transaction log. Including data from more than 15000 stationary installations reporting under the EU emission trading system, as well as 1500 aircraft operators.

European economic statistics - includes climate and energy (total energy, electricity generation, energy intensity). Eurostat is the statistical office of the European Union situated in Luxembourg. Its task is to provide the European Union with statistics at European level that enable comparisons between countries and regions. The website has available downloadable statistics, population census information for 2011, web services, microdata, GIS, metadata definitions, SDMX (Statistical Data and Metadata eXchange), and data validation information. Datasets are in tab separated values and sdmz format. Downloads can be automated. All information is updated twice a day.Eurostats main role is to process and publish comparable statistical information at European level. Eurostat does not collect data. This is done in Member States by their statistical authorities. They verify and analyse national data and send them to Eurostat. Eurostats role is to consolidate the data and ensure they are comparable, using harmonized methodology. The European Statistical System (ESS) is the partnership between the Community statistical authority, which is the Commission (Eurostat), and the national statistical institutes (NSIs) and other national authorities responsible in each Member State for the development, production and dissemination of European statistics. This Partnership also includes the EEA and EFTA countries. Member States collect data and compile statistics for national and EU purposes. The ESS functions as a network in which Eurostats role is to lead the way in the harmonization of statistics in close cooperation with the national statistical authorities. ESS work concentrates mainly on EU policy areas - but, with the extension of EU policies, harmonization has been extended to nearly all statistical fields. The ESS also coordinates its work with candidate countries and at European level with other Commission services, agencies and the ECB and international organisations such as OECD, the UN, the International Monetary Fund and the World Bank.

Half-hourly electricity daily load profiles for standard UK profile class definitions (01 Domestic Unrestricted; 02 Domestic Economy 7; 03 Non-domestic Unrestricted; 04 Non-domestic Economy 7; 05 Non-domestic Maximum Demand 0-20% Load Factor; 06 Non-domestic Maximum Demand 20-30% Load Factor; 07 Non-domestic Maximum Demand 30-40% Load Factor; 08 Non-domestic Maximum Demand >40% Load Factor) for weekday (Wd), Saturday (Sat), and Sunday (Sun) at five different times of year (Autumn Aut, Winter Wtr, Spring Spr, High Summer HSr, Summer Smr) The year is broken down into the following seasons: (a) Spring: defined as the period from the day of clock change from GMT to BST in March, up to and including the Friday preceding the start of the summer period; (b) Summer: defined as the ten-week period, preceding High Summer, starting on the sixteenth Saturday before the August Bank Holiday; (c) High Summer: defined as the period of six weeks and two days from the sixth Saturday before August Bank Holiday up to and including the Sunday following August Bank Holiday; (d) Autumn: defined as the period from the Monday following the August Bank Holiday, up to and including the day preceding the clock change from BST to GMT in October; (e) Winter: defined as the period from the day of clock change from British Summer Time (BST) to Greenwich Mean Time (GMT) in October, up to and including the day preceding the clock change from GMT to BST in March.
For creation and first use of the data see: Load Profiles and their use in Electricity Settlement (Load_Profiles.pdf)

Inventory of Carbon & Energy (ICE) database of embodied carbon data in main construction materials. The data download is a zip of 3 excel files. The data files include Terms of Use and method and update notes.

Energy Consumption in the United Kingdom (ECUK) is an annual statistical publication that provides a comprehensive review of energy consumption and changes in efficiency, intensity and output since the 1970s, with particular focus on trends since 2000. ECUK is split into five chapters: (1) Overall energy consumption in the UK; (2) Transport sector energy consumption; (3) Domestic sector energy consumption; (4) Industrial sector energy consumption; (5)Services sector energy consumption. Each chapter contains an Excel workbook and a factsheet summarising key trends and information within that sector. ECUK is split into five chapters:

• Chapter 1: Overall energy consumption in the UK
• Chapter 2: Transport sector energy consumption
• Chapter 3: Domestic sector energy consumption
• Chapter 4: Industrial sector energy consumption
• Chapter 5: Services sector energy consumption

Each chapter contains an Excel workbook and a factsheet summarising key trends and information within that sector.

Previous issues may be available from the National Archive

The Energy Performance of Buildings provides access to Energy Performance Certificates and Display Energy Certificates data for buildings in England and Wales by search and browsing, or via and API, and for individual or bulk download. Access rights are mixed. Some parameters are Royal Mail Copyright and other data fall under the Open Government Licence. For more information see https://epc.opendatacommunities.org/docs/copyright
The Energy Performance of Buildings Register is the official place for all Energy Performance Certificates (EPCs), Display Energy Certificates (DECs) and Air Conditioning Inspection Reports (ACIRs).
This site is has been made available for data analysis. To check for compliance with all regulatory and legal requirements the definitive source of EPCs, DECs and ACIRs is the registers and not the data published on this website.

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). These data are part of the environmental accounts data set. https://www.ons.gov.uk/economy/environmentalaccounts/datalist?filter=datasets

The UKs reallocated energy use and energy intensity - the level of usage per unit of economic output, by industry (SIC 2007 group - around 130 categories). Reallocated energy consumption is where losses incurred during transformation and distribution are allocated to the final consumer of the energy rather than the electricity generation industry. These data are part of the environmental accounts data set. https://www.ons.gov.uk/economy/environmentalaccounts/datalist?filter=datasets

The English House Condition Survey (EHCS) was a national survey of housing in England. It was originally called the National House Condition Survey and covered England and Wales. From April 2008, the EHCS merged with the Survey of English Housing (SEH) to form the English Housing Survey (EHS). The English House Condition Survey (EHCS) was a national survey of housing in England, commissioned by the Ministry of Housing, Communities and Local Government (MHCLG). The survey was originally called the National House Condition Survey and covered England and Wales. The EHCS ran quinquennially from 1967-2001. From 2002, the survey moved to a continuous basis and the data were provided as a two-year rolling sample of approximately 16,000 cases. From April 2008, the EHCS merged with the Survey of English Housing (SEH) to form the English Housing Survey (EHS).

The English Housing Survey (EHS) began in 2008 as a continuous national survey collecting information about peoples housing circumstances and the condition and energy efficiency of housing in England. The EHS brought together two previous survey series - the English House Condition Survey (EHCS) and the Survey of English Housing (SEH) - into a single fieldwork operation. The EHS covers all housing tenures and provides valuable information and evidence to inform the development and monitoring of government housing policies. The survey has a complex multi-stage methodology consisting of 3 main elements: an initial interview survey of around 17,000 households with a follow-up physical inspection and a desk-based market valuation of a sub-sample of 8,000 of these dwellings, including vacant dwellings. The interview survey sample forms part of the Integrated Household Survey (IHS), and the core questions from the IHS form part of the EHS questionnaire.

The English Housing Survey (EHS), 2012: Fuel Poverty Dataset is derived from the 2012 EHS database. The dataset is the outcome of analysis conducted to produce estimates of the number of households living in fuel poverty in England in 2012. Previously, a household was defined as being fuel poor if they spent more than 10% of their income on fuel. The English Housing Survey, 2012: Fuel Poverty Dataset is derived from the 2012 EHS database created by the DCLG. This database is constructed from fieldwork carried out between April 2011 and March 2013. The midpoint of this period is April 2012, which can be considered as the reference date for the fuel poverty dataset.

The European Environment Agency provides sound, independent information on the environment for those involved in developing, adopting, implementing and evaluating environmental policy, and also the general public. The site includes interactive data viewers for datasets. There are also visualizations on specific topics such as Progress on Energy Efficiency in Europe, and publications. A major information source for those involved in developing, adopting, implementing and evaluating environmental policy, and also the general public. Currently, the EEA has 33 member countries. The website is available in a wide range of languages. There is a Semantic Data Service, allowing access to datasets using APIs, but datasets can also be downloaded as zip files and INSPIRE-compliant metadata sets. No registration is needed, but on download, some usage feedback is requested.

The Industrial Emissions Portal covers over 60,000 industrial sites from 65 economic activities across Europe. These activities cover a range of sectors including energy. Data can be browsed in a map of sites, here. Full datasets and guidance documents can be downloaded. Various data analysis tools and visualisations are available.

Statistics relating to the demographics of fuel poverty in England, where fuel poverty is defined by the Low Income / High Costs balance, which considers a household to be in fuel poverty if: (i) the household has required fuel costs above average (national median level) and (ii) was the household to spend that amount it would be left with a residual income below the official poverty line. The key drivers behind fuel poverty are:
The energy efficiency of the property (and therefore, the energy required to heat and power the home);
The cost of energy;
Household income.
Registration with the UK Data Archive is required before data can be accessed

Centre for Sustainable Energy (CSE) has published a complete list of Great Britain postcodes that are not connected to the mains gas grid, up-to-date for 2017. Also included are the census area and the co-ordinates of the centre of each postcode on the list. NB There are over 381,385 postcodes in this dataset. Please be aware that conversion to other file formats such as .xls may result in loss of data, because not all spreadsheets support a sufficient number of rows. After conversion, please check the number of records before you use the data (the final postcode - ZE3 9JZ - should be in row number 381,386).

DS4DS: Heat, non-heating electricity and home-based transport energy demand for Great Britain in 2009 at 1 km square resolution in units of kWh/km² from UK Department of Energy & Climate Change (DECC) sub-national energy consumption statistics.
Please acknowledge the School of Civil and Building Engineering, Loughborough University when making any use of this data. Data is available as a txt file (which is really a csv file) and ESRI Shapefiles.
Methods and results were reported in Taylor S, Firth S, Wang C, Allinson D, Quddus M, Smith P (2014) Spatial mapping of building energy demand in Great Britain. Global Change Biology Bioenergy, 123-135. https://doi.org/10.1111/gcbb.12165.
The coordinate system is British National Grid.

DS4DS Great Britain energy demand (2009) - Proportions of energy demand projected for future years (for application to table of energy demand data for GB in 2009).
Tables of dimensionless scenario factors for 2000 to 2050 in 5-year steps for domestic and non-domestic heat and non-heating electricity demand for two scenarios: UKERC scenarios ADD and LC
Please acknowledge the School of Civil and Building Engineering, Loughborough University when making any use of this data. Two csv files, one for each scenario.
Methods and results were reported in Taylor S, Firth S, Wang C, Allinson D, Quddus M, Smith P (2014) Spatial mapping of building energy demand in Great Britain. Global Change Biology Bioenergy, 123-135.

The HES measured electricity consumption at an appliance level in 250 owner-occupied households across England from 2010 to 2011, the most detailed monitoring of electricity use ever carried out in the UK. Extensive analysis has been undertaken on appliance ownership, labels, actual efficiencies and potential for savings in different social groups. The study has also examined the scope for reducing peak electricity demand. The full dataset is not available via the web. A sample, and numerous reports and analyses are freely available. There are also three spreadsheet tools provided.
The Household Electricity Survey (HES) was the most detailed monitoring of electricity use ever carried out in the UK. Electricity consumption was monitored at an appliance level in 250 owner-occupied households across England from 2010 to 2011. Extensive analysis has been undertaken on appliance ownership, labels, actual efficiencies, potential for savings in different social groups and the potential to reduce peak electricity demand.

Impact is a parish-level carbon emission estimator which tells you how people in the parish travel and heat their homes, and other activities in the area that contribute to the local carbon emissions total. It shows territorial and consumption based emissions calculations. Graphical data charts and csv download are available.

Database of baseline energy use and emissions for key process industries (iron & steel; chemicals; food & drink manufacture; paper; cement) in the UK industrial sector and opportunities for reducing these (improvement potentials). Total sectoral energy flows (PJ) and emissions (MtCO₂e) and sectoral energy flows (PJ/t) and emissions (kgCO₂e/t) per unit output.
Industrial sectors: Iron & steel; Chemicals; Food & drink manufacture; Paper; Cement The usable energy database (UED) contains baseline energy use and emissions, and opportunities for reducing these (improvement potentials). The project report should be read alongside the UED. The work is currently presented as a Beta version to allow feedback from project partners and other interested parties to be incorporated in a final version. The UED was produced to improve the representation of the UK industrial sector within the whole systems TIMES model developed by the UK Energy Research Centre (UKERC). Due to the substantial variability in energy use within the industrial sector the approach was to undertake bottom-up studies of subsectors of industry that were important from an energy use and emissions perspective, and to supplement this with information on cross-cutting technologies that could be applied throughout industry. Baseline data variously sourced from: International Steel Statistics Bureau (ISSB); the Confederation of Paper Industries; Mineral Products Association; and others (for a full list of source references see the project report.)
Please acknowledge the UKERC Energy Demand theme when making use of this data
The data is presented as .xls and .xlsx
The final project report is UED_Documentation.pdf

Aluminium production statistics, including energy intensity and fuel and power consumption The International Aluminium Institute is an industry body.

World energy data and statistics which can be explored by category, indicator, country or region. Most downloads are Excel or PDF. Topics include Coal, CO₂ emissions, Electricity, Energy balances, Energy efficiency, Natural gas, Oil, Prices and taxes, RD&D and Renewables. Visualizations include Energy balance flows, energy indicators, European gas trade flows and key world energy statistics. There is a lot of analysis and synthesis provided.

The Local Engagement in UK Energy Systems (LEUKES) Database is about local authority energy projects. The data being made available is a database of 458 UK local authority energy projects collated from 29 different data sources. The energy projects database was produced as part of the Local Engagement in UK Energy Systems (LEUKES) project. The database is developed from datasets published by the European Commission, UK and devolved Governments, and their agencies which included information on grants and loans which LAs use for financing energy initiatives and information on operational energy projects.
The research aimed to examine the current and future contribution of local governments to changing energy production, supply and use with a primary focus on providing knowledge about the extent of local engagement in energy initiatives under current institutional structures; and, identifying local energy governance and business models being developed. This data formed one component of research in the LEUKES project and was funded by the Research Councils UK Energy Programme as part of the UK Energy Research Centre (UKERC) research programme and the Energy Technologies Institute (the ETI) and was carried out by the University of Edinburgh. https://heatandthecity.org.uk/project/local-engagement-with-uk-energy-systems/

The Community Energy Saving Programme (CESP) was designed to target the lowest income households living in homes that need significant investment in energy saving measures and low carbon technologies. CSE mined the CESP data stores to develop and publish a database of useful information to assist with this targeting. Ofgem CESP programme page:
https://www.ofgem.gov.uk/environmental-programmes/energy-companies-obligation-eco/previous-energy-efficiency-schemes
CESP Report location:
https://www.ofgem.gov.uk/ofgem-publications/58763/cesp-final-report-2013final-300413.pdf
For super output area (SOA) definitions:

http://www.ons.gov.uk/ons/guide-method/geography/beginner-s-guide/census/super-output-areas--soas-/index.html

Measuring and Evaluating Time-use and Electricity-use Relationships (METER) data on UK household electricity use, activities and other contextual and demographic information. High-resolution household electricity readings with simultaneous activity records of household members. This study is subject to restrictive Secure Access conditions as it contains an additional detailed activities variable. The End User Licence (EUL) version which is the same, but excludes this detailed variable, is available from the UK Data Service under SN 8634. Users are advised to first obtain the standard EUL version of the data to see if they are sufficient for their research requirements.

Hourly energy consumption data gathered from 94 (originally 160) low energy homes in Milton Keynes Energy Park (1989-1991). These homes were of conventional design for the UK (35 different designs) but included energy efficiency features (primarily increased insulation in the roof, wall, and flooring and energy efficient boilers) so that they correspond with SAP values of 75-90. The results were used to generate a database of energy consumption data to assist in development of the Building Research Establishment Domestic Energy Model (BREDEM). The ReadMe_MiltonKeynes.html file contains more detailed information about the datasets. Registration with EDC is required for access to the data.
This data was originally collected by the Building Research Establishment (BRE) during a project in 1988-91 in an area then known as Milton Keynes Energy Park, located some 75 km north-west of London. The study monitored more than 100 sites for hourly electricity and gas consumption; the dwellings essentially follow conventional UK housing design, but were built in 1987 to higher standards for energy performance than were required by the building regulations at that time (Edwards, 1990). They incorporated energy efficiency features, such as increased floor, wall, and loft insulation, double-glazing, and in some cases condensing boilers, so that they broadly corresponded to UK building standards of almost a decade later.
The data has been rescued off the original 5.25 inch floppy disks by Steve Pretlove of UCL towards his PhD thesis and has since been cleaned and further processed by Alex Summerfield. Data were successfully retrieved for 94 sites with more than 200 days of valid date each. Some building data, including floor areas and U-values were recovered, unfortunately related social data, such as the number of occupants in each household, were not available.
Reference: J. Edwards (1990), Low energy dwellings in the Milton Keynes Energy Park, Energy Management v26 p32-33.
See also: numerous internal Buildings Research Establishment (BRE) reports.
Note that there are some missing data points largely due to problems of recovery from the original media (the data from July 1989 are missing from many data sets) but nonetheless there are many sites with > 12 months of data.

A sample of 49,815 records selected to be representative of the housing stock (based on Region, property age, property type and floor area band) representative of the national NEED data set (over 27 million records) of energy use and energy efficiency in domestic and non-domestic buildings in Great Britain. A sample dataset of 49,815 anonymised records selected to be representative of the housing stock (based on region, property age, property type and floor area band) representing a subset of the much larger NEED (address level) database.
A larger sample of 4 million records (4,086,448) is available from the UK Data Archive via an end user licence (https://beta.ukdataservice.ac.uk/datacatalogue/studies/study?id=7518).

Large anonymised sample of 4 million records from the national NEED dataset 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 UK Government sub-national energy consumption statistics and records of energy efficiency measures from HEED. It also includes typographic data about dwellings and households obtained from a variety of sources.
UKDA user licensing restructions apply.
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A national dataset 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 UK Government sub-national energy consumption statistics and records of energy efficiency measures from HEED. It also includes typographic data about dwellings and households obtained from a variety of sources. The National Energy Efficiency Data-Framework (NEED) was set up by UK Government 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 UK Government 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.

The non-gas map is a detailed map of Great Britain showing the distribution of properties without a gas grid connection across local authorities, LSOAs (lower-level super output areas) and, for registered users, postcodes. It also provides other information about properties and residents, from the type of house or flat to the type of heating and tenure. The data sources are as follows: Off-gas-grid properties, ECO and energy efficiency measures: BEIS. Tenure, central heating type, number of bedrooms (England/Wales) or rooms (Scotland): ONS (2011 census). Domestic Energy Performance Certificates: DCLG. Rural-urban designation: DEFRA, Scottish government. Indices of multiple deprivation: ONS, Welsh Government, Scottish Government. Claimant count: DWP, Scottish Government.

As well as linking to the OECD Data statistics, this includes statistics from other sources such as the IEA, Nuclear Energy Agency and EUROSTAT, indicator information, factbook and yearbook series and other analyses and syntheses. Differs from the OECD Data offering as it draws on more sources and covers a wider range of countries. Acts as a federated search rather than holding its own datasets. However, there are far more books, papers, factbooks and so on accessible from here.

The Odyssee database contains detailed energy efficiency and CO2-indicators with data on energy consumption, their drivers (activity indicators) and their related CO2-emissions. The Mure database contains a description, with their impact evaluation whenever available, of all energy efficiency measures implemented at EU or national level. Some data and tools are publically accessible but some are restricted access.

The Office of Rail and Road (ORR) Data Portal provides statistics and information about the UK railway industry. Much of the data is available without registration, but free registration gives access to more tools. The Office of Rail and Road (ORR) is a statutory board which is the combined economic and safety regulatory authority for Great Britains railway network, as well as being responsible for monitoring Highways England. As a non-ministerial government department it is operationally independent of central government.

The Ofgem Energy Company Obligation (ECO) Eligibility System is a tool for confirming which postcodes are eligible for the Home Heating Cost Reduction Obligation (HHCRO). See https://eco.locationcentre.co.uk/help.aspx for more details.

Electricity data measured at one-minute resolution in 22 dwellings over two complete years (2008 and 2009). Each dwelling was fitted with a single meter covering electricity use of the whole dwelling, however, the one-minute resolution allows the switching of individual domestic appliances to be observed. The meters conform to BS EN 62053-21:2003 and measure true active power (taking proper account of the voltage). The study also includes the results of a dwelling characteristics survey which was completed for each dwelling detailing its characteristics and the types of appliances and lighting installed. The data are separated by dwelling (22) and year (2) so there are 44 data files of one-minute resolution domestic electricity use. A short survey of dwelling characteristics is includes; the main topics covered are: general energy use; lighting; and available appliances.

The Place-based Carbon Calculator (PBCC) is a free tool which estimates the per-person carbon footprint for every Lower Super Output Area (LSOA) in England. LSOAs are small statistical areas with a population of about 1,500 - 3,000. Includes data on housing, transport and other consumption emissions. Bulk download data and further information about the data sets are available at https://www.carbon.place/data/.

The datasets available for download include:1. The thermal characteristics for 16 dwelling categories for all the LSOAs in England and Wales before and after considering energy efficiency measures.2. The magnitude and duration of positive and negative flexibility services that can be provided by air source heat pumps in dwellings at local authority level. Dates refer to the input data to the model.

Deployment data for the non-domestic Renewable Heat Incentive (RHI) and the domestic RHI. Datasets are published on a monthly basis with supplementary statistical information published quarterly. Historical releases are available on request.

Annual residential heat demand data for Scotland at Lower Layer Super Output Area (LSOA) level, before and after energy efficiency measures

The Scottish Household Survey (SHS) is an annual, cross-sectional survey on the composition, characteristics, attitudes and behaviour of private households and individuals as well as evidence on the physical condition of Scotlands homes. Data Explorer tool available. Earlier data are available from the archive (linked from this site).

The Scottish House Condition Survey (SHCS) combines both an interview with occupants and a physical inspection of dwellings to build up a picture of Scotlands occupied housing stock.

This data set presents the underlying data used to produce the results for the UKERC working paper: Sensitivity Analysis of Net Zero Pathways for UK Industry or by searching the UKERC Publications section of this website. These data are the outputs of a how the The Net-Zero Industry Pathways (N-ZIP) model results are affected by changing a wider range of inputs than have been previously studied. The Net-Zero Industry Pathways (N-ZIP) model, developed by Element Energy, has been used by both the Climate Change Committee (CCC) and the Government to explore how industry can be decarbonised in way that is consistent with the UKs netzero greenhouse gas (GHG) target. This data set presents the underlying data used to produce the results for the UKERC working paper: Sensitivity Analysis of Net Zero Pathways for UK Industry or by searching the UKERC Publications section of this website.

The SERL research portal will allow accredited UK academic researchers access to pseudo-anonymised gas and electricity smart meter data via a Secure Lab environment. Access is for accredited UK researchers only and must be applied for. Researchers must apply for accreditation to access the data.

Interview transcripts from the Smarter Homes project which explored experiences of living in low carbon homes with a particular focus on the experience of living with micro-generation heating systems. The recruitment materials, information sheet, consent form and topic guide are included with the transcriptions.

Annual heat demand data for England and Wales at Lower Layer Super Output Area (LSOA) level, before and after energy efficiency measures. Normalised half-hourly profiles for heat production and energy consumption of different heating technologies. Costs for energy efficiency measures by local authority. The three datasets available for download include:

1. Annual heat demand data before and after adopting energy efficiency measures for 16 dwelling categories for all the LSOAs in England and Wales.
2. Normalised half-hourly profiles for the heat production and energy consumption of air-source heat pumps, ground source heat pumps, gas boilers and resistance heaters based on the UK average daily outside air temperature profile from 2013
3. The estimated costs to implement the energy efficiency measures to reach the annual heat demand displayed in the annual heat demand dataset, for each local authority in England and Wales.

This data set was updated on 14/10/2021. The top-level folder holds the latest version and a README file detailing the changes. The original version is retained in a sub-folder.

BEIS produce a wide range of official statistics including downloadable datasets, projections and trend information on a range of energy, environmental and social topics. Official Statistics are produced impartially and free from political influence.Due to organisational change, this webpage is no longer updated after May 2023 Some historical datasets back to 1890. Very wide ranging set of information held in the UK government statistics website.

National and official statistics relating to the environment, rural communities, food and farming. Environment statistics including air quality and emissions statistics, environmental protection expenditure survey, sustainable development indicators,digest of waste and resources statistics; Food statistics including food transport indicators; and Land management and environmental issues. Previous statistical releases are available on the NationalArchives.

Department for Levelling Up, Housing & Communities publishes statistics relating to deprivation, housing and homelessness, local government finance, planning performance and land use.DLUHC was previously known as the Ministry of Housing, Communities and Local Government (MHCLG) Statistical collections on deprivation, housing, local government finance, and planning and land use are available.

Consumption statistics for fuels used in road transport at regional and local levels. In March 2008, this dataset gained National Statistics status. This applies to all data from 2005 onwards.

The Transport and Research and Innovation Monitoring and Information System (TRIMIS) maps and analyses technology trends and research and innovation capacities in the transport sector in Europe providing open-access information. TRIMIS supports the implementation and monitoring of the Strategic Transport Research and Innovation Agenda (STRIA) that outlines future transport research and innovation priorities to decarbonise the European transport sector.

The UK Low Carbon Transition Plan plots how the UK will meet its targets on emissions reduction. Original (archived May 2010) - targetting 34% cut in emissions on 1990 levels by 2020, set out in the 2009 budgetThis publication was published under the 2010 to 2015 Conservative and Liberal Democrat coalition government

First published in December 2011, the Carbon Plan sets out the governments plans for achieving the emissions reductions it committed to in the first 4 carbon budgets.
Emissions in the UK must, by law, be cut by at least 80% of 1990 levels by 2050. The UK was first to set its ambition in law and the Plan sets out progress to date and assesses cost-effective next steps.
Parts 1, 2 and 3 of the report, and Annex A and Annex B set out the governments strategy and fulfil the legal obligation to report on what the UK is doing to ensure it meets carbon budgets set in law.
Annex C sets out, department by department, actions and deadlines for the next 5 years.
Quarterly updates on the implementation of the Carbon Plan are available at
https://www.gov.uk/government/collections/carbon-plan-quarterly-implementation-updates.

Statistics on the impact of transport on the environment, including greenhouse gas emissions from transport, air quality and electric vehicles, plus new experimental statistics comparing greenhouse gas emissions for individual journeys. This is an annual report, first published in May 2021.

UK Data Service (UKDS) data ranging from household energy use to global databanks on greenhouse gas emissions, conservation and the production and consumption of oil, gas and electricity worldwide. This page highlights some key UKDS data sets on the theme of energy and environment.

High speed (16 kHz) power meter data for 3 houses.
Data is stored in individual directories for each house.

NOTE to UK-DALE data users: the UK-DALE data sets are large. It may not be possible to download all the data in one go.

See Kelly, J. and Knottenbelt, W. The UK-DALE dataset, domestic appliance-level electricity demand and whole-house demand from five UK homes. Sci. Data 2:150007 doi: 10.1038/sdata.2015.7 (2015). arXiv:1404.0284 (2015)
This data is made freely available under Creative Commons Attribution 4.0 International (CC BY 4.0). See more at https://creativecommons.org/licenses/by/4.0/

Appliance-by-appliance and whole-home power demand for 5 UK homes recorded approximately once every 6s. For 3 of the homes, whole-home data was also recorded at 1s and 16kHz
Data is stored in individual directories for each house. Each appliance has a separate time series file channel_nn.dat and most have a channel_nn_button_press.dat file indicating switching events (see Other Information).

NOTE to UK-DALE data users: the UK-DALE data sets are large. It may not be possible to download all the data in one go.

See Kelly, J. and Knottenbelt, W. The UK-DALE dataset, domestic appliance-level electricity demand and whole-house demand from five UK homes. Sci. Data 2:150007 doi: 10.1038/sdata.2015.7 (2015). arXiv:1404.0284 (2015)
This data is made freely available under Creative Commons Attribution 4.0 International (CC BY 4.0). See more at https://creativecommons.org/licenses/by/4.0/

High speed (16 kHz) whole-house voltage and current data for 1 house. Data is stored in individual directories for each week. This dataset continues UK-DALE-2015 : UK-DALE-16kHz

NOTE to UK-DALE data users: the UK-DALE data sets are large. It may not be possible to download all the data in one go.

This data set continues UK-DALE-2015 : UK-DALE-16kHz
There is further information on UK-DALE-2015, which is also relevant to this data set, in Kelly, J. and Knottenbelt, W. The UK-DALE dataset, domestic appliance-level electricity demand and whole-house demand from five UK homes. Sci. Data 2:150007 doi: 10.1038/sdata.2015.7 (2015). arXiv:1404.0284 (2015)
This data is made freely available under Creative Commons Attribution 4.0 International (CC BY 4.0). See more at https://creativecommons.org/licenses/by/4.0/
There is a README associated with these data at ReadMe_DALE-2017 (#HighSpeed section).

Appliance-by-appliance and whole-home power demand for 5 UK homes recorded approximately once every 6s. Each appliance has a separate time series file channel_nn.dat and most have a channel_nn_button_press.dat file indicating switching events. This data set includes and extends UK-DALE-2015 disaggregated.

NOTE to UK-DALE data users: the UK-DALE data sets are large. It may not be possible to download all the data in one go.

This data set includes and extends UK-DALE-2015 disaggregated. The disaggregated UK-DALE-2015 data are available as separate .dat files. This data set is available as a single zip file of the full set of plain text .dat files or as a single zip of the full set of HDF5 format data.
There is further information on UK-DALE-2015, which is also relevant to this data set, in Kelly, J. and Knottenbelt, W. The UK-DALE dataset, domestic appliance-level electricity demand and whole-house demand from five UK homes. Sci. Data 2:150007 doi: 10.1038/sdata.2015.7 (2015). arXiv:1404.0284 (2015).
This data is made freely available under Creative Commons Attribution 4.0 International (CC BY 4.0). See more at https://creativecommons.org/licenses/by/4.0/.
There is a README associated with these data at ReadMe_DALE-2017 (#Disaggregated section) and further meta data on the houses and appliances at http://data.ukedc.rl.ac.uk/simplebrowse/edc/efficiency/residential/EnergyConsumption/Domestic/UK-DALE-2017/UK-DALE-FULL-disaggregated/metadata.

Data are available for each house as follows:
House 1: start 09/11/2012, end 26/04/2017
House 2: start 17/02/2013, end 10/10/2013
House 3: start 27/02/2013, end 08/04/2013
House 4: start 09/03/2013, end 01/10/2013
House 5: start 29/06/2014, end 13/11/2014

Green Deal, Energy Company Obligation and Insulation statistics for UK housing. This series presents statistics on the Energy Company Obligation (ECO) and Green Deal (GD). It incorporates changes as set out in response to the user consultation of National Statistics on the Green Deal, Energy Company Obligation and Insulation statistics. The headline releases present monthly updates of ECO measures and quarterly updates of in-depth ECO statistics, carbon savings and the Green Deal schemes. The detailed report presents annual updates on in-depth ECO statistics and insulation levels.
Historical releases are available on request from BEIS.

The total final energy consumption data is an aggregation of the electricity, gas, road transport and residual fuels datasets. Statistics provided at regional and local authority level. Please read the Methodology and guidance before using the statistics. Previous editions are available from The National Archive.

The UKs direct use of energy from fossil fuels and other sources (nuclear, net imports, renewables, biofuels and waste) and reallocated use of energy by industry. These data are part of the environmental accounts data set. https://www.ons.gov.uk/economy/environmentalaccounts/datalist?filter=datasets

NREL develops data sets, maps, models, and tools for the analysis of energy and energy efficiency technologies. Research areas include bioenergy, buildings, conentrating solar power, energy analysis, grid modernisation, geothermal, hydrogen and fuel cells, integrated energy solutions, transportation and mobility, water and wind. NREL is a national laboratory of the U.S. Department of Energy.

UNSD maintains the Energy Statistics Database, which provides annual statistics on production, trade, transformation and consumption (end-use) for solid, liquid, and gaseous fuels, electricity, and heat. It contains basic statistics for more than 230 countries/territories from 1950 year onwards and is updated annually. The database contains data in their original units (e.g. metric tonnes, GWh) as well as calorific values to allow interfuel comparison in a common energy unit (terajoules).

UK Government publishes weekly prices for road fuels. The weekly road fuel prices table reports on the cost of unleaded petrol (ULSP) and unleaded diesel (ULSD). Road fuel price statistics providing average UK retail "pump" prices on a weekly basis.

The Welsh Housing Conditions Survey, 2017-2018 (WHCS) provides an estimate of the condition and energy efficiency/performance of the housing stock in Wales. The survey covered all types of housing and all tenures but not vacant properties. As well as the usual topics the survey explored elements that may become an issue in the future, for example climate change (hotter summers, wetter winters etc.) and the housing stock's ability to cope.