Results: Searching for 'Renewable Energy Sources'

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.

From 2023 it has moved to be provided by the Energy Institute.

Legacy link

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.

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 IEA Demonstration Projects Database seeks to map major demonstration projects of clean energy technologies, globally. For each project, it provides information on location, sector and technology grouping, status, capacity, timing and funding, when available.

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.

This is an evidence base of available literature on the impacts of offshore renewable energy developments (fixed-base wind, floating wind, wave and tidal) and the outcomes for marine ecosystem services. The evidence was collated through a systematic search of global primary literature (also known as peer-reviewed or published literature) and UK grey literature regarding the impacts of OWF developments (the scope for including global grey literature was unfeasible). Grey literature refers to multiple types of report or document, and is defined as: "information produced on all levels of government, academia, business and industry in electronic and print formats not controlled by commercial publishing" i.e. where publishing is not the primary activity of the producing body (ICGL, 1997). Data was extracted from each evidence source, for each subject or marine ecosystem component that was impacted by the OWF development, the phase of development, the specific pressure and other relevant information about the wind farm or location. Expert judgement was used to map each piece of evidence for impacts on the marine environment according to CICES (Common International Classification of Ecosystem Services) or MEA (Millenium Ecosystem Assessment) and other published classification systems for ecosystem services (Ryfield et al., 2019; Hooper et al., 2020). The dataset was created to provide a central evidence base of available primary (2002-2025) and grey literature (2012-2022) regarding the impacts of offshore renewable developments (for construction, operational and decommissioning phases) on ecosystem service outcomes in the marine environment. The primary literature represents a global semi-systematic search, while the grey literature is restricted to a semi-systematic search for reports and documents from the UK that relate to offshore wind farms only. The database provides a comprehensive list of available literature on this topic, and it enables the assessment and comparison of the evidence for environmental impacts and ecosystem service outcomes between primary and grey literature sources. This will be critical for marine policy makers when gathering evidence for future developments and advances understanding of the impacts and trade-offs associated with developments and ecosystem services. This database can also be accessed through the ORIES (Offshore Renewable Impacts on Ecosystem Services) decision support tool www.ories.pml.space.

This dataset supersedes an earlier version in our records. It can be found at 554a8785-3f6f-4202-a742-d55708391a0a

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.

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/

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.

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.

Access to datasets provided by the IEA on a wide range of topics. Some of these are openly available and some have restrictions

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/

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.

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.

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.

The UK Low Carbon Transition Plan plots how the UK will meet its targets on emissions reduction. Original (archived May 2010) - targeting 34% cut in emissions on 1990 levels by 2020, set out in the 2009 budget. This 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.

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.

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