Search Results: Energy Category: Renewable Energy Sources

Open geographic data for over 260,000 solar PV installations across the UK, covering an estimated 86% of the capacity in the country, arising from a major crowd-sourcing campaign. The data set focuses in particular on capturing small-scale domestic solar PV, which accounts for a significant fraction of generation but has been poorly documented. Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.13050869

The Electrification of Heat (EoH) demonstration project is funded by the Department for Business, Energy and Industrial Strategy (BEIS) and seeks to better understand the feasibility of a large-scale roll-out of heat pumps in homes across the UK. It aims to demonstrate that heat pumps can be installed in a wide variety of homes and deliver high customer satisfaction across a range of customer groups.This dataset provides data collected by the Delivery Contractors during the participant recruitment, home survey, system design and installation phase of the project. It also contains a unique property ID number which can be used to link this data to future published project datasets. All users are directed to the "Heat Pump Installation Statistics", "Participant Recruitment Report", and "Home Surveys and Install Report" for more information and analysis relating to this data. Additional documentation is also provided as outlined below which indicates what the data is, how the data was collected, and how it may be used.
https://es.catapult.org.uk/project/electrification-of-heat-demonstration/

The BP Statistical Review of World Energy is published annually. The Statistical Review is one of the most widely respected publications in the field of energy economics and has been published since 1952.<p> From 2023 it has moved to be provided by the Energy Institute.</p> <a href="https://www.bp.com/en/global/corporate/energy-economics/statistical-review-of-world-energy.html ">Legacy link</a> <p> Resource includes outlook forecasts, an energy charting tool and app, country and regional insights, webcasts, on-demand video and downloadable content, a review of the previous year and for each energy area, a review of reserves, production, consumption, trade and prices.</p>

The British Oceanographic Data Centre (BODC) is a national facility for looking after and distributing data concerning the marine environment. The British Oceanographic Data Centre (BODC) is a national facility for looking after and distributing data concerning the marine environment. It is part of the UKs National Oceanography Centre.

The CEDA Archive forms part of NERCs Environmental Data Service (EDS) and is responsible for looking after data from atmospheric and earth observation research. It hosts over 18 Petabytes of data from climate models, satellites, aircraft, met observations, and other sources.

CARMA is a database containing information about the carbon emissions of over 60,000 power plants and 20,000 power companies worldwide. Power generation accounts for 40% of all CO₂ emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, emissions-producing sector of the economy. It cased being updated in 2012 but is available for downloading from the link. CARMA is produced and financed by the Center for Global Development, an independent and non-partisan think tank located in Washington, DC.The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants.For power plants within the U.S., CARMA relies upon data reported to the Environmental Protection Agency and Department of Energy by the plant operators themselves. CARMA also includes official reported emissions for many plants in the European Union, Canada, India, and South Africa and annual generation for all of the worlds nuclear power plants, as reported by the International Atomic Energy Agency. For non-reporting plants, CARMA estimates electricity generation and CO2 emissions using statistical models that have been fitted to detailed U.S. plant data and unit-level engineering and fuel specifications. CARMA v3.0 reports emissions for the year 2004, 2009, and the future (based on planned construction and retirements).
CARMA also aggregates data on individual plants to the level of companies and several geographic entities (continents, countries, states/provinces, and cities worldwide, with additional reports for U.S. metro areas, congressional districts, and counties). CARMA is meant to be a repository of the best available information on power sector carbon emissions. Our policy is to correct any errors or omissions if suggested revisions are verified by an independent third party.

The characteristics of 5 types of bioenergy feedstock crops were measured in relation to growing conditions and methods.

The Characterisation of Feedstocks Project was commissioned by The Energy Technologies Institute (ETI) and carried out by Forest Research, and Uniper Technologies Ltd (formerly part of E.ON).

Five crops were considered: Miscanthus, willow short-rotation-coppice (SRC), poplar SRC, poplar short-rotation-forestry (SRF), and conifer SRF.

Eight studies were carried out:
In phase 1 (fieldwork spring to autumn 2015):
1. To examine the impact of climate zone, soil type, harvesting time, and storage on Miscanthus, willow SRC, poplar SRC, poplar SRF and conifer SRF
2. To examine the variation between and within fields of Miscanthus and willow SRC
3. To examine the feedstock characteristics of willow SRC and poplar SRF leaves
4. To examine the feedstock characteristics of Miscanthus before and after pelletising
In phase 2 (fieldwork November 2015 to November 2016):
V1. To examine the impact of harvest time on Miscanthus characteristics
V2. To examine the impact of harvest time on willow characteristics
V3. To examine the impact of varieties on willow characteristics
V4. To examine the impact of storage time on Miscanthus characteristics

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.

Spatial and other data about the management of Scotland's sea-bed, including for wind and marine energy and for carbon capture and storage. The data licence is unclear. We recommend contacting Crown Estate Scotland if you wish to re-use data made available by them.

This is an evidence base of available literature on the impacts of offshore wind farm (OWF) developments 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 and grey literature regarding the impacts of OWF developments (for construction, operational and decommissing 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 also include wind farms in adjacent waters). The database provides a comprehensive list of available literature on this topic, and it enables the assessment and comparison of the evidence for enviromental impacts and ecosystem service outcomes between primary and grey literature sources. This will be critical for marine policy makers when gathering evidence for future OWF developments and advances understanding of the impacts and trade-offs associated with OWF and ecosystem services. A tool (currently in development by Plymouth Marine Laboratory) will improve accessibility of the data for this purpose. This research was funded by the UKERC Phase 4 research programme.

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.

DUKES is an extensive collections of tables, charts and commentary with separate sections on coal, petroleum, gas, electricity, renewables and combined heat and power, providing a comprehensive picture of energy production and use over the last five years, with key series taken back to 1970. 2013 to date are online here, while older data is available at the National Archive. NB There is a pdf containing an useful index to the archived data. This is a series of PDF files, also available as printed booklets. The tables can be downloaded to Excel.

The U.S. Energy Information Administration (EIA) collects, analyzes, and disseminates independent and impartial energy information. The International Energy Statistics provides an overview with visualizations for different energy sources, an interactive graphical tool, and various analyses at country and topic level.

The U.S. Energy Information Administration is committed to enhancing the value of its free and open data by making it available through an Application Programming Interface (API) and open data tools to better serve our customers. The data in the API is also available in bulk file, in Excel via the add-in, and via widgets that embed interactive data visualizations of EIA data on any website. By making EIA data available in machine-readable formats, the creativity in the private, the non-profit, and the public sectors can be harnessed to find new ways to innovate and create value-added services powered by public data. https://www.eia.gov/opendata/

Since 2011, Eoltech has published its wind energy index on 3 major regions of wind power development in France. Today, this indicator of regional wind resource is updated each month on 7 major regions, to allow operators and financial partners of projects to put their park production into the general perspective of the available wind resource. There is also a cumulative report updated monthly, from 2005 to present.

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.

The Ecosystem Land Use Modelling and Soil Carbon Flux Trial (ELUM) measured greenhouse gas and soil carbon changes arising as a result of direct land-use change to bioenergy crops.

Ecosystem Land Use Modelling and Soil Carbon Flux Trial (ELUM) was funded and commissioned by the Energy Technologies Institute (the ETI) and carried out by the Centre for Ecology and Hydrology (CEH), the University of Aberdeen, the University of Southampton, Forest Research, Aberystwyth University, the University of Edinburgh and the University of York.

The ELUM project aims were to provide greater understanding on the greenhouse gas (GHG) and soil carbon changes arising as a result of direct land-use change (dLUC) to bioenergy crops, with a primary focus on the second-generation bioenergy crops Miscanthus, short rotation coppice (SRC) willow and short rotation forestry (SRF).

Experimental fieldwork on Miscanthus, SRC Willow, and SRF, and adjacent control sites, was conducted at locations across the length and breadth of mainland UK to capture data across both temporal and spatial scales.

ENERGYDATA.INFO is an open data platform providing access to datasets and data analytics that are relevant to the energy sector. Data on energy access, transmission and distribution, renewable energy and resource assessment. Tools and data sets are available.

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 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. This table excludes biofuels and waste. These data are part of the environmental accounts data set. https://www.ons.gov.uk/economy/environmentalaccounts/datalist?filter=datasets

The UK's energy use from renewable sources used to generate heat (active solar heating, heat pumps, geothermal aquifers) These data are part of the environmental accounts data set. https://www.ons.gov.uk/economy/environmentalaccounts/datalist?filter=datasets

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.

Annual, quarterly and monthly feed-in tariff statistics. Solar photovoltaic deployment and costs. Load factors. The feed-in-tariff is a payment made to some renewable energy generators. Although the feed-in-tariff stopped accepting new applications from 31st March 2019, the solar photovoltaic and other data and analysis are more recent.

Global energy transition statistics: production, consumption and trade of oil, gas, coal, power and renewables; CO2 emissions from fuel combustion. Data browsing, interactive map and visualisations.

Global spatial data on solar resource and photovoltaic power potential over land. Methology and data source information available.

Global wind speed data for onshore and offshore, up to 200km from the coast. 250m grid wind speeds at 10, 50, 100, 150 and 200m above ground or sea level. Energy yield tool available.

Spatial wind speed data and wind farm siting parameters. Wind speed measurements from satellite data (SAR and scatterometer) and from re-analysis data (MERRA). Spatial data

Annual total installed capacity of wind energy (MW) from 1990 to end of 2009 compiled from 5 separate (but not necessarily independent) sources. Sourced from : European Wind Energy Association 2002; Global Wind Energy Council 2005; BP Statistical Review of World Energy 2006/2007; Windpower Monthly, April 2008; GWEC - Global Wind 2009; Global Wind Energy Council, March 2010
Version containing records up to 2009 GlobalWindCapacity.csv
Previous version (up to 2007) GlobalWindCapacity_v2008.csv

Global, open-access, harmonised spatial datasets of wind and solar installations from OpenStreetMap data. Also included: user friendly code to enable users to easily create newer versions of the dataset; first order estimates of power capacities of installations. Data article, data, meta data and code available.

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.

Photovoltaic Geographical Information System (PVGIS) provides a map-based inventory of solar energy resource and assessment of the electricity generation from photovoltaic systems in Europe, Africa, and South-West Asia. It is a part of the SOLAREC action that contributes to the implementation of renewable energy in the European Union as a sustainable and long-term energy supply Aggregated data of solar and PV potential for European countries and regions is available. Monthly/daily irradiance data via clickable maps. Location can also be specified using latitude and longitude. Output as graphs, webpage, text file or PDF.

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/

MEDIN is public-private alliance to provide a marine environmental data centre. Dataset metadata can be searched by keyword or interactive map using the data discovery portal, providing a federated search across other data repositories. Searches can also be done by themes via the reference layers. Data can also be lodged in MEDIN with standardised metadata Some datasets may have restrictions on access and use.

The Marine Data Exchange provides access to survey data and reports collated during the planning, building and operating of offshore renewable energy projects. There are two divisions: Wind and Aggregates. Wind consists of raw, cleaned and modelled wind datasets from various meteorological masts, LiDAR systems and meteorological buoys around the UK. Aggregates includes Marine ALSF Regional Environmental Characterisation Surveys (RECs). Can be searched by data type, industry, round, date range, topics and a selection of predefined keywords, interactive map and then further refined by keyword. Includes COWRIE (Collaborative Offshore Wind Research into the Environment). Registration is not required, but gives access to additional resources, including posting notices of datasets wanted.Definitions are at http://www.marinedataexchange.co.uk/data-requirements.aspxWhen downloading data, it looks as though you are buying it because your choice goes into your basket, but in fact there is no charge. You enter your email address and a link to download the data is mailed to you within the next five days; there may also be a short usage feedback survey.

Organisation for Economic Cooperation and Development (OECD) data - statistics, API access and publications. Database access available on the data warehouse, OECD.Stat. A suite of statistical tools is also available, as is a developer API. Topics include agriculture, development, economy, education, energy, environment, finance, government, health, innovation and technology, jobs and society. A range of charts and visualizations are also provided. A related resource is the OECD Library

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.

GIS map of all known wave and tidal energy installations in the world. Annual detailed reports per country are also available for the 29 member countries. The Ocean Energy Systems Implementing Agreement (OES) is an intergovernmental collaboration between countries, operating under the framework of the International Energy Agency (IEA). PDF Annual reports for previous years along with the global report are available in the Library section of the site.

A free and open data platform for energy system modelling. OPSD collect, check, process, document, and publish data that are publicly available but currently inconvenient to use. Open access where possible but some data published here might be subject to copyright. Check specific terms by data set.
For further information see "Open Power System Data Frictionless data for electricity system modelling" in Applied Energy. https://doi.org/10.1016/j.apenergy.2018.11.097

Energy data for countries, different energy sources, energy mix data, production, consumption and access data. Data from Global Change Data Lab in partnership with Oxford University's Oxford Martin School License: All the material produced by Our World in Data, including interactive visualizations and code, are completely open access under the Creative Commons BY license. You have the permission to use, distribute, and reproduce these in any medium, provided the source and authors are credited. All other material, including data produced by third parties and made available by Our World in Data, is subject to the license terms from the original third-party authors.

Public opposition to new energy technology can harm the chances of successful deployment. Less is known about knock-on effects on the wider energy system, including whether such opposition impacts public perceptions of other technologies. Here we present a mixed-methods study into perception spillover, examining whether the controversy over fracking for oil and gas affects public attitudes to two novel low-carbon energy technologies: deep enhanced geothermal systems, and green hydrogen. We argue that perception spillover is multi-faceted, and we conceptualise and test spontaneous, prompted and primed forms, examining how and why particular types occur. Using a nationally-representative UK survey and two focus groups, we show that perception spillover from fracking could lead to widespread negative perceptions of deep geothermal energy, influencing the conditions which deep geothermal would be expected to meet. Conversely, a minority of participants expressed more positive perceptions of green hydrogen because they deemed it dissimilar to fracking.Flexible fund project under the UK Unconventional Hydrocarbons project. Aims to understand the impact of fracking on public perceptions of other energy technologies This is a linked dataset held in the UKDS

Phyllis is a database containing information on the composition of biomass and waste. From Phyllis you can obtain analysis data of individual biomass or waste materials or average values for a group of materials. Groups can be selected from one of three classification schemes: the ECN Phyllis scheme, the NTA 8003 scheme (only in Dutch), and the European standard CEN/TS 14961. The latter scheme is used for the BIODAT database, which has been made an integral part of Phyllis. The BIODAT database was developed in co-operation with European partners within the PHYDADES project. BIODAT is restricted to data from standard analysis methods. In 2012, BIODAT became a subset of Phyllis and the Phyllis website was adapted accordingly. In the future, the BIODAT subset will be the main growth area of the Phyllis database.

POD (Platform for Operational Data) from ORE (Offshore Renewable Energy) Catapult allows requests for data sets arising from ORE Catapult and partners' innovation projects and operational assets. Includes demonstration turbine data, system performance analysis and floating turbine design cases. Samples of each data collection are available to view. There is a small charge to cover the data retrieval, depending on the size or complexity of the request, and this will be calculated after the request has been made.

The Renewable Energy Planning Database (REPD) and the Heat Networks Planning Database are updated and published every quarter. The Renewable Energy Planning Database tracks the progress of renewable electricity and heat networks projects. The Heat Networks Planning Database covers district as well as communal heat network projects. The Renewable Energy Planning Database tracks the progress of renewable electricity and heat networks projects. It provides as accurate and comprehensive a snapshot as possible of projects in both areas, and of progress across the technology sectors.The Heat Networks Planning Database covers district as well as communal heat network projects.It aims to provide a more complete picture of heat network deployment across the UK.
The databases are: updated during the month following the end of each quarter; and are provided in 2 separate CSV files, and on separate worksheets within a single XLSX file.

Renewables.ninja allows users to run simulations of the hourly power output from wind and solar power plants located anywhere in the world. Data has been derived from NASAs MERRA-2 re-analysis data and CM-SAFs SARAH satellite data.
The usage rights for this data is governed by a Creative Commons Attribution-Non Commercial 4.0 International (CC BY-NC 4.0) licence.

Local authority level residual fuel (ie non-gas, non-electricity, non-road transport) consumption statistics. This includes: the full dataset and a factsheet summarising the key points of the dataset. This residual fuels dataset is also sometimes known as other fuels consumption data.

Recent and historic solar photovoltaic generation estimates for Great Britain, updated every 30 minutes. Including embedded generation. Data are available as plots or tables and are also available via an API.

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.

Modelling of the costs, efficiencies and greenhouse gas emissions of biomass supply chains with and without significant pre-processing.

The TEAB project compares the costs, efficiencies and GHG emissions of biomass supply chains with and without significant pre-processing, to assess whether and how pre-processing steps can benefit UK bioenergy supply chains.

Ten supply chains were selected for modelling and analysis in the project, two of which generate heat, and eight generating power. These are compared in groups according to their shared conversion technology, and all the chains are able to use a blend of Miscanthus and woody feedstocks (from 0-100%).

Available here are gPROMS and Excel models describing bioenergy supply chains, and project reports. Further README files in the models and reports sub-directories describe the contents further.

Geographic data of the Crown Estate's offshore leasing to renewable energy and other users. Terms of use are available on the website. They do not include re-use.

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.

The Wind Power is a set of databases covering wind farms, turbines, manufacturers, developers, operators and owners worldwide, with market information. Downloads are available for each database, plus photographs and maps, and analysis of the wind power market. There is an interactive map.

Data arising from multiple measurement campaigns comprising primarily velocimetry conducted at the European Marine Energy Centre (EMEC) Tidal Test Site during the ReDAPT Tidal Project. Data arising from multiple measurement campaigns comprising primarily velocimetry conducted at the European Marine Energy Centre (EMEC) Tidal Test Site during the ReDAPT Tidal Project. These campaigns consisted of both stand-alone seabed mounted Acoustic Doppler Profiling and Tidal Energy Converter (TEC) mounted Acoustic Doppler Profiling. Multiple instrument configurations were used across multiple seasons between June 2011 and October 2014. The data was used for resource characterisation and the validation of multiple numerical modelling techniques used in the Tidal Industry. Data is provided in MATLAB v7.3 .mat files and has also been converted to NETCDF. There is a project www at <a href="http://www.eti.co.uk/programmes/marine/redapt">http://www.eti.co.uk/programmes/marine/redapt</a>. Further information is also available at <a href="http://redapt.eng.ed.ac.uk/index.php">http://redapt.eng.ed.ac.uk/index.php</a>

Energy trends is a quarterly bulletin containing statistics on all major aspects of energy in the UK. Energy trends focuses on the supply and demand of coal, oil, gas, electricity and renewables in the United Kingdom. Data is published a quarter in arrears.
Previous editions of Energy trends are available from The National Archives.

Annual, quarterly and monthly electricity statistics available to download. This page brings together all the UK Government data sources that focus on electricity including historic data (1920-2012) and imports, exports and transfers of electricity Brings together electricity data from DUKES (annual data), energy trends (articles, quarterly and monthly data) and historic data. These datasets form part of other dataset collections in the UK Government statistics.

Technology variants, capital & O&M costs, efficiency, plant life-time characteristics for electricity generating plant as input to the UKERC Markal Energy Model (2007) sub-divided as CHP, Renewables, Nuclear, CO2 Pipeline & Storage, Gas-fired Plant, Coal, Electricity data for MARKAL The MARKAL_Electricity_cost_data_version_EDC_2007.xls spreadsheet contains cost information in the electricity generation sector drawn from a variety of sources. These references are listed in the worksheet entitled Sources.
The workbook is divided into labelled worksheets, according to different generic types of generating technology: CHP, Renewables, Nuclear, CO₂ pipeline and storage, Gas-fired plant, Coal. Each worksheet contains the data as input to the MARKAL model, showing a range of aspects of different generation technologies. The full set of MARKAL data covering all technologies is included in worksheet 7, entitled 7 Electricity data for MARKAL.
In worksheets 1-6, beneath the MARKAL data, other data has been added from the sources reviewed to illustrate the range of data which the models assumptions could plausibly have covered. The data is provided in two forms. In the first worksheet for each technology, the data is included in the form in which it is presented in the original sources. Thus, the units and currencies are not always those of the MARKAL model. Notes have been inserted to indicate the currency or unit of measurement. The information has been provided in this way so as to maintain transparency. In the second worksheet for each technology (marked A - for Adjusted), the data has been adjusted to match the currencies and units used in MARKAL. The numbers which have been subject to adjustment have been highlighted in yellow. A separate sheet showing the conversion factors used has been included (Conversion).
The information from other sources covers only a subset of the information within MARKAL. The definitions of key terms (such as operational and maintenance cost), is rarely consistent from one source to the next. In two places therefore, new columns have been inserted to the original structure. Information on construction periods (in years) has been included adjacent to the existing column showing first year available. The lack of distinction in the sources between fixed and variable O&M costs has also resulted in the creation of a single O&M column so that information can still be included.
The workbook should be used in conjunction with the report: Derek Smith, Comparative Cost Information: Supporting the development of the MARKAL MACRO model of the UK Energy Research Centre (UKERC), November 2006 which summarises the cost comparisons. These summaries include additional information to provide the context from which the data in this workbook have been drawn.

The Wind Energy Database (UKWED) contains data about operational onshore and offshore wind projects of 100kW or more. Some data are available only to renewableUK members. The basic search is open access, but Project Status, Project Intelligence Hub and Wind Energy Map are available to renewableUK members only.

This dataset relates to the modelling component of the UKERC Phase 4 Project '4.2a Investment in infrastructure'. The aim is to assess the scale of investment risks in the electricity generation sector associated with uncertainty over the pathway towards net zero. The model comprises three components:1. Input data. Based in Excel, contains the scenario assumptions on the electricity system including generation technologies, wind and solar power availability, demand profiles, interconnector and storage capacities etc.2. Modelling files based on the open-source Antares modelling framework. This requires additional free software to be able to run the model. The model calculates the hourly dispatch of all types of plant included in the system.3. Excel-based financial model, based on post-processing the output of the Antares model.Additional 1_Metadata.xls, Input_ReadMe and Outputs_ReadMe files explain the method for running each step of the modelling process. Software available at https://antares-simulator.org/. Version used 8.0.2

Data collected at the UKGEOS (UK Geoenergy Observatories) facilities including drilling data packs, ongoing monitoring data and experiment results. The data from UKGEOS will apply to geothermal energy, hydrogen, carbon capture and storage, and storage solutions for wind, solar and tidal energy can reduce our carbon emissions.

FAO develops methods and standards for food and agriculture statistics, provides technical assistance services and disseminates data for global monitoring covering emissions, agriculture, forestry and fisheries, land and water resources and use, climate, environment, population, gender, nutrition, poverty, rural development, education and health as well as many others. FAO food and agriculture statistics disseminate statistics through their dissemination platforms (FAOSTAT and RuLIS) and produce publications, working papers and statistical yearbooks that cover food security and nutrition, crop and livestock, economic, social and environmental statistics.

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.

NREL geospatial data sets and tools for biomass, geothermal, hydrogen, marine, solar, wind and cross-cutting energy research. 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).

These files are the core subset of the updated and expanded versions of the data originally collated for the UKERC "Costs and Impacts of Intermittency - 2016 update" project, see https://ukerc.ac.uk/project/the-intermittency-report/. This dataset includes the references, costs and impacts from this systematic review of the evidence on the costs and impacts of intermittent electricity generation technologies. These files are the core subset of the updated and expanded versions of the data originally collated for the UKERC "Costs and Impacts of Intermittency - 2016 update" project, see https://ukerc.ac.uk/project/the-intermittency-report/.
The dataset was further updated and expanded for a 2020 paper in Nature Energy "A systematic review of the costs and impacts of integrating variable renewables into power grids" - https://doi.org/10.1038/s41560-020-00695-4

The Knowledge Network is a web-based system which facilitates data exchange in the emerging wave and tidal energy industry. The Knowledge Network contains more than 2000 resources on a range of topics relevant to wave and tidal energy. The resources are of a variety of types, including reports and datasets. The Crown Estate originally developed the Knowledge Network in line with its strategic objective to support growth of the wave and tidal industry and in partnership with the Department of Energy and Climate Change. The WTKN is now managed by the Offshore Renewable Energy Catapult. It is a searchable database containing a wide range of information available to download free of charge and also provides links to information held elsewhere, which may be available on a commercial basis.

Meteorological and panel production data from the solar PV project - Southerly Winds Increase the Electricity Generated by Solar Photovoltaic Systems. This project looked at meteorological effects on solar panel electricity output in a field-based setting, demonstrating how differences in exposed surface area under northerly and southerly winds can affect the efficacy of surface cooling with implications for electricity output. This project, Southerly Winds Increase the Electricity Generated by Solar Photovoltaic Systems, is further described in this journal article: https://www.sciencedirect.com/science/article/abs/pii/S0038092X20303303?dgcid=author.