UK Gas decreased 26.27 GBp/Thm or 20.95% since the beginning of 2025, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. UK Natural Gas - values, historical data, forecasts and news - updated on March of 2025.

United Kingdom UK: Fossil Fuel Energy Consumption: % of Total data was reported at 80.712 % in 2015. This records a decrease from the previous number of 82.634 % for 2014. United Kingdom UK: Fossil Fuel Energy Consumption: % of Total data is updated yearly, averaging 91.593 % from Dec 1960 (Median) to 2015, with 56 observations. The data reached an all-time high of 99.465 % in 1960 and a record low of 80.712 % in 2015. United Kingdom UK: Fossil Fuel Energy Consumption: % of Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Kingdom – Table UK.World Bank.WDI: Energy Production and Consumption. Fossil fuel comprises coal, oil, petroleum, and natural gas products.; ; IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/; Weighted average; Restricted use: Please contact the International Energy Agency for third-party use of these data.

The UK's fuel use by industry (SIC 2007 group - around 130 categories) and type (coal, natural gas, petrol, diesel oil for road vehicles (DERV), fuel oil, gas oil, aviation fuel and other); UK level fuel use of nuclear, hydro, wind, solar, geothermal aquifers and net imports, 1990 to 2022. This table excludes biofuels and waste.

This is a large dataset of extracted text from public Oil and gas documents that was prepared in the run up to the FORCE 2023 Large Languagel model Hackathon in Stavanger, Norway

The dataset is uninque since it contains the largest public collection of extracted text from Ocr'ed oil and gas documents currently available. It has been created with the aim to make more oil and gas documents knowledge better embedded in language modelsAdditional the text has been classified in if the extracted pages are real text or mostly gibberish.Personal identifiable information has been removed as best as possibleA file with 1500 hand classified pages is part of the upload to further train text classifiers.

Daily data showing SAP of gas, and rolling seven-day average, traded in Great Britain over the On-the-Day Commodity Market (OCM). These are official statistics in development. Source: National Gas Transmission.

This publication provides the final estimates of UK territorial greenhouse gas emissions going back to 1990. Estimates are presented by source in February of each year. They are updated in March of each year to include estimates by end- user, and in June to include estimates by Standard Industrial Classification (SIC).

These statistics covers emissions that occur within the UK’s borders. When emissions are reported by source, emissions are attributed to the sector that emits them directly. When emissions are reported by end-user, energy supply emissions by source are reallocated in accordance with where the end-use activity occurred. This reallocation of emissions is based on a modelling process. For example, all the carbon dioxide produced by a power station is allocated to the power station when reporting on a source basis. However, when applying the end-user method, these emissions are reallocated to the users of this electricity, such as domestic homes or large industrial users.

BEIS does not estimate emissions outside the UK associated with UK consumption, however the Department for Environment, Food and Rural Affairs publishes estimates of the "https://www.gov.uk/government/statistics/uks-carbon-footprint">UK’s carbon footprint annually.

For the purposes of reporting, greenhouse gas emissions are allocated into a small number of broad, high level sectors known as National Communication sectors, which are as follows: energy supply, business, transport, public, residential, agriculture, industrial processes, land use land use change and forestry (LULUCF), and waste management.

These high-level sectors are made up of a number of more detailed sectors, which follow the definitions set out by the "http://www.ipcc.ch/">International Panel on Climate Change (IPCC), and which are used in international reporting tables which are submitted to the "https://unfccc.int/">United Nations Framework Convention on Climate Change (UNFCCC) every year.

This is a National Statistics publication and complies with the Code of Practice for Statistics.

Please check our "https://www.gov.uk/government/publications/uk-greenhouse-gas-%0Aemissions-explanatory-notes">frequently asked questions or email GreenhouseGas.Statistics@beis.gov.uk if you have any questions or comments about the information on this page.

*[SIC]: Standard Industrial Classification *[BEIS]: Department for Business, Energy and Industrial Strategy *[LULUCF]: land use land use change and forestry *[IPCC]: International Panel on Climate Change *[UNFCCC]: United Nations Framework Convention on Climate Change

Gridded data (produced 2015-2016) in ascii text format, of oil and gas platforms at the spatial extent of the North Sea. Data are produced at three different spatial resolutions: 0.1, 0.25 and 0.5 decimal degree, respectively. Values represent estimated proportion of grid cell occupied by structures. Data were derived as model inputs to support two Cefas projects (COSM and EcoConnect) under the INSITE (INfluence of man-made Structures In The Ecosystem) programme.

United Kingdom Production: NLGs: Ethane data was reported at 634.446 Ton th in 2017. This records an increase from the previous number of 524.507 Ton th for 2016. United Kingdom Production: NLGs: Ethane data is updated yearly, averaging 1,152.804 Ton th from Dec 1999 (Median) to 2017, with 19 observations. The data reached an all-time high of 1,888.000 Ton th in 2000 and a record low of 341.000 Ton th in 2013. United Kingdom Production: NLGs: Ethane data remains active status in CEIC and is reported by Department for Business, Energy and Industrial Strategy. The data is categorized under Global Database’s United Kingdom – Table UK.RB013: Natural Gas Liquids: Production.

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 2022.

Abstract copyright UK Data Service and data collection copyright owner.

The English Housing Survey (EHS ) Fuel Poverty Datasets are comprised of fuel poverty variables derived from the EHS, and a number of EHS variables commonly used in fuel poverty reporting. The EHS is a continuous national survey commissioned by the Ministry of Housing, Community and Local Government (MHCLG) that collects information about people's housing circumstances and the condition and energy efficiency of housing in England.

End User Licence and Special Licence Versions
Similar to the main EHS, two versions of the Fuel Poverty dataset are available from 2014 onwards. The Special Licence version contains additional, more detailed, variables, and is therefore subject to more restrictive access conditions. Users should check the End User Licence version first to see whether it meeds their needs, before making an application for the Special Licence version.

The English Housing Survey, 2005: Fuel Poverty Dataset is derived from the 2005 EHS database created by the DCLG. This database is constructed from fieldwork carried out between April 2004 and March 2006. The midpoint of this period is April 2005, which can be considered as the reference date for the fuel poverty dataset. Guidance on use of EHS data provided by DCLG should also be applied to the fuel poverty dataset. The dataset is the outcome of analysis conducted to produce estimates of the number of households living in fuel poverty in England in 2005. Previously, a household was defined as being fuel poor if they spent more than 10% of their income on fuel.


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The data cover modelled household fuel costs and consumption. See documentation for further details.

The English Housing Survey (EHS ) Fuel Poverty Datasets are comprised of fuel poverty variables derived from the EHS, and a number of EHS variables commonly used in fuel poverty reporting. The EHS is a continuous national survey commissioned by the Ministry of Housing, Community and Local Government (MHCLG) that collects information about people's housing circumstances and the condition and energy efficiency of housing in England.

End User Licence and Special Licence Versions
Similar to the main EHS, two versions of the Fuel Poverty dataset are available from 2014 onwards. The Special Licence version contains additional, more detailed, variables, and is therefore subject to more restrictive access conditions. Users should check the End User Licence version first to see whether it meeds their needs, before making an application for the Special Licence version.

The English Housing Survey, 2004: Fuel Poverty Dataset is derived from the 2004 EHS database created by the DCLG. This database is constructed from fieldwork carried out between April 2003 and March 2005. The midpoint of this period is April 2004, which can be considered as the reference date for the fuel poverty dataset. Guidance on use of EHS data provided by DCLG should also be applied to the fuel poverty dataset. The dataset is the outcome of analysis conducted to produce estimates of the number of households living in fuel poverty in England in 2004. Previously, a household was defined as being fuel poor if they spent more than 10% of their income on fuel.

Tackling London’s greenhouse gas (GHG) emissions is a huge challenge. The impact of these emissions goes far beyond the city’s boundaries. From the electronics we buy and the food we eat to the clothes we wear, most are produced and transported globally. The Mayor, together with London Councils and ReLondon, has jointly commissioned Leeds University to develop a historic trend of consumption-based emissions for London. It uses the latest available data (running from 2001-2021) on average expenditure on different types of goods and services. This methodology aligns with equivalent national government datasets at the UK level. Findings London’s consumption-based emissions in 2021 were around 80 MtCO 2 e. They’ve fallen by 24 per cent since 2001, despite the city’s population increasing by 1.4 million over that time. This means emissions per head have reduced by 35 per cent (from 13.9 to 8.98 tCO 2 e per person). The biggest drop in consumption-based emissions was between 2008 and 2009 during the global financial crisis, when households’ average spending decreased. Post 2009, emissions stabilised then steadily reduced from 2014 to 2020, bar a small increase from 2017-2018. This period of emissions reduction has been mainly driven by decarbonisation of the UK electricity sector. The national context London’s per capita consumption-based footprint is slightly lower than the UK average. It also follows a similar trend in reduction over the same period. However, at a sector level there are some cases where the per capita emissions for Londoners are different, for example: Transport – London’s use of transport is unlike any other region in the UK. Private transport emissions are much lower than any other region, and public transport emissions are the highest in the country. As a result, London has the lowest per capita transport emissions of any region and is lower than the UK average. However, London also has one of the highest per capita aviation emissions. Transport emissions were still unusually low in 2021 due to the ongoing impact of the COVID-19 pandemic. Housing, water, electricity, gas, other fuels – Compared to other regions in the UK, Londoners spend less on heating and power. This is a function of increased household occupancy rather than lower energy bills and more efficient homes. Food and drink – Compared to other regions in the UK, Londoners spend less on meat, which contributes to a lower food footprint per capita. The international context The Mayor wants to recognise the full environmental impact of London’s consumption by publishing this data. We hope this will encourage more cities to publish their consumption-based emissions data so we can identify similarities and work together to bring these emissions down.

The emissions of carbon dioxide, methane, nitrous oxide, hydro-fluorocarbons, perfluorocarbons, sulphur hexafluoride, nitrogen trifluoride and total greenhouse gas emissions, by industry (SIC 2007 group – around 130 categories), UK, 1990 to 2022 and provisional 2023.

[Updated 28/01/25 to fix an issue in the ‘Lower’ values, which were not fully representing the range of uncertainty. ‘Median’ and ‘Higher’ values remain unchanged. The size of the change varies by grid cell and fixed period/global warming levels but the average percentage change between the 'lower' values before and after this update is -1%.]What does the data show? A Heating Degree Day (HDD) is a day in which the average temperature is below 15.5°C. It is the number of degrees above this threshold that counts as a Heating Degree Day. For example if the average temperature for a specific day is 15°C, this would contribute 0.5 Heating Degree Days to the annual sum, alternatively an average temperature of 10.5°C would contribute 5 Heating Degree Days. Given the data shows the annual sum of Heating Degree Days, this value can be above 365 in some parts of the UK.Annual Heating Degree Days is calculated for two baseline (historical) periods 1981-2000 (corresponding to 0.51°C warming) and 2001-2020 (corresponding to 0.87°C warming) and for global warming levels of 1.5°C, 2.0°C, 2.5°C, 3.0°C, 4.0°C above the pre-industrial (1850-1900) period. This enables users to compare the future number of HDD to previous values.What are the possible societal impacts?Heating Degree Days indicate the energy demand for heating due to cold days. A higher number of HDD means an increase in power consumption for heating, therefore this index is useful for predicting future changes in energy demand for heating.What is a global warming level?Annual Heating Degree Days are calculated from the UKCP18 regional climate projections using the high emissions scenario (RCP 8.5) where greenhouse gas emissions continue to grow. Instead of considering future climate change during specific time periods (e.g. decades) for this scenario, the dataset is calculated at various levels of global warming relative to the pre-industrial (1850-1900) period. The world has already warmed by around 1.1°C (between 1850–1900 and 2011–2020), whilst this dataset allows for the exploration of greater levels of warming. The global warming levels available in this dataset are 1.5°C, 2°C, 2.5°C, 3°C and 4°C. The data at each warming level was calculated using a 21 year period. These 21 year periods are calculated by taking 10 years either side of the first year at which the global warming level is reached. This time will be different for different model ensemble members. To calculate the value for the Annual Heating Degree Days, an average is taken across the 21 year period. Therefore, the Annual Heating Degree Days show the number of heating degree days that could occur each year, for each given level of warming. We cannot provide a precise likelihood for particular emission scenarios being followed in the real world future. However, we do note that RCP8.5 corresponds to emissions considerably above those expected with current international policy agreements. The results are also expressed for several global warming levels because we do not yet know which level will be reached in the real climate as it will depend on future greenhouse emission choices and the sensitivity of the climate system, which is uncertain. Estimates based on the assumption of current international agreements on greenhouse gas emissions suggest a median warming level in the region of 2.4-2.8°C, but it could either be higher or lower than this level.What are the naming conventions and how do I explore the data?This data contains a field for each warming level and two baselines. They are named ‘HDD’ (Heating Degree Days), the warming level or baseline, and 'upper' 'median' or 'lower' as per the description below. E.g. 'HDD 2.5 median' is the median value for the 2.5°C projection. Decimal points are included in field aliases but not field names e.g. 'HDD 2.5 median' is 'HDD_25_median'. To understand how to explore the data, see this page: https://storymaps.arcgis.com/stories/457e7a2bc73e40b089fac0e47c63a578Please note, if viewing in ArcGIS Map Viewer, the map will default to ‘HDD 2.0°C median’ values.What do the ‘median’, ‘upper’, and ‘lower’ values mean?Climate models are numerical representations of the climate system. To capture uncertainty in projections for the future, an ensemble, or group, of climate models are run. Each ensemble member has slightly different starting conditions or model set-ups. Considering all of the model outcomes gives users a range of plausible conditions which could occur in the future. For this dataset, the model projections consist of 12 separate ensemble members. To select which ensemble members to use, Annual Heating Degree Days were calculated for each ensemble member and they were then ranked in order from lowest to highest for each location. The ‘lower’ fields are the second lowest ranked ensemble member. The ‘upper’ fields are the second highest ranked ensemble member. The ‘median’ field is the central value of the ensemble.This gives a median value, and a spread of the ensemble members indicating the range of possible outcomes in the projections. This spread of outputs can be used to infer the uncertainty in the projections. The larger the difference between the lower and upper fields, the greater the uncertainty.‘Lower’, ‘median’ and ‘upper’ are also given for the baseline periods as these values also come from the model that was used to produce the projections. This allows a fair comparison between the model projections and recent past. Useful linksThis dataset was calculated following the methodology in the ‘Future Changes to high impact weather in the UK’ report and uses the same temperature thresholds as the 'State of the UK Climate' report.Further information on the UK Climate Projections (UKCP).Further information on understanding climate data within the Met Office Climate Data Portal.

Two categories of data are presented: 1) Experimental data of catalyst performance under conditions for a Blast Furnace Gas (BFG) to methanol to process, comprising the monitored gas phase species evolution in a single channel micro reactor. 2) Process simulation and techno-economic analysis of the BFG-to-methanol process, comprising Aspen Plus V10 anotated process flowsheet, process model summary, stream results, reactor performances and cost analysis calculation. Funded by UKCCSRC 2018 Flexible Funding Call