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Energy generation plantsPublisher: Scientific Data (journal)
Period: 01/09/2020 - 30/09/2020
Rights: CC-BY
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
Publisher: ETI
Period: 01/01/2020 - 31/12/2050
Rights: Energy Technologies Institute Open Licence for Materials
This project aims to address whether or not there is potential to significantly increase CO2 storage capacity, and thereby reduce overall cost of storage, by producing brine through dedicated production wells from target storage formations. Brine production is proposed as a method to manage pressure in storage sites, as a corollary to water injection during hydrocarbon extraction. In the case of CO2 storage, the production of water creates voidage to increase storage capacity and reduce the extent of pressure increase due to CO2 injection, and hence reduce the risk of caprock failure, fault reactivation and induced seismicity; additionally, it reduces the energy available to drive fluids through legacy well paths and other potential seep features. Spatially the reduction in the extentof the pressure plume reduces the affected area which can reduce the area of potential drilling interference, the number of impacted legacy wells, and the area of investigation for monitoring where brine movement is a concern.
In this report five systems are considered: the Forties Aquifer, the Bunter Aquifer, the depleted Hamilton gas field, a producing North Sea oil field, and a synthetic tilted aquifer. The well counts, the period and the rate of brine production are data that are supplied for economic analysis to determine whether or not the process is a viable means of increasing storage capacity and reducing overall costs.
This spreadsheet contains the Brine Production Cost-Benefit Analysis tool, created for the ETI by elementenergy. In order to use it, you need to download your own copy, and enable macros. This tool is part of the final set of project outputs covering the cost benefit analysis of the bring aquifer management for CO2 storage. It analyses any benefits of producing brine to manage pressure in aquifers used to store CO2. The model is a simple ready reckoner tool and includes all costs both opex and capex for the complete system from the shore based network, providing an excellent budget cost for initial risk assessment analysis.
In this report five systems are considered: the Forties Aquifer, the Bunter Aquifer, the depleted Hamilton gas field, a producing North Sea oil field, and a synthetic tilted aquifer. The well counts, the period and the rate of brine production are data that are supplied for economic analysis to determine whether or not the process is a viable means of increasing storage capacity and reducing overall costs.
This spreadsheet contains the Brine Production Cost-Benefit Analysis tool, created for the ETI by elementenergy. In order to use it, you need to download your own copy, and enable macros. This tool is part of the final set of project outputs covering the cost benefit analysis of the bring aquifer management for CO2 storage. It analyses any benefits of producing brine to manage pressure in aquifers used to store CO2. The model is a simple ready reckoner tool and includes all costs both opex and capex for the complete system from the shore based network, providing an excellent budget cost for initial risk assessment analysis.
Publisher: ETI
Period: 01/01/2010 - 01/01/2050
Rights: Energy Technologies Institute Open Licence for Materials
TESBiC: Techno-Economic Study of Biomass to power with CCS. This model was developed as part of Work Package 3. It examines changes in cost, efficiency and emissions under different operating conditions for biodedicated IGCC with CCS. It should be read in conjunction with the Work Package 3 reports on model specification and user documentation. The Biomass to Power with CCS Phase 1 project consisted of four work packages: WP1: Landscape review of current developments; WP2: High Level Engineering Study (down-selecting from 24 to 8 Biomass to Power with CCS technologies); WP3: Parameterised Sub-System Models development; and WP4: Technology benchmarking and recommendation report. Reports generally follow this coding. We would suggest that you do not read any of the earlier deliverables in isolation as some assumptions in the reports were shown to be invalid. We would recommendthat you read the project executive summaries as they provide a good summary of the overall conclusions. This work demonstrated the potential value of Biomass to Power with CCS technologies as a family, but it was clear at the time of the project, that the individual technologies were insufficiently mature to be able to 'pick a winner', due to the uncertainties around cost and performance associated with lower Technology Readiness Levels (TRLs).
Publisher: ETI
Period: 01/01/2010 - 01/01/2050
Rights: Energy Technologies Institute Open Licence for Materials
TESBiC: Techno-Economic Study of Biomass to power with CCS. This model was developed as part of Work Package 3. It examines changes in cost, efficiency and emissions under different operating conditions for biomass to power with amine-based carbon capture. It should be read in conjunction with the Work Package 3 reports on model specification and user documentation. The Biomass to Power with CCS Phase 1 project consisted of four work packages: WP1: Landscape review of current developments; WP2: High Level Engineering Study (down-selecting from 24 to 8 Biomass to Power with CCS technologies); WP3: Parameterised Sub-System Models development; and WP4: Technology benchmarking and recommendation report. Reports generally follow this coding. We would suggest that you do not read any of the earlier deliverables in isolation as some assumptions in the reports were shown to be invalid. We would recommend that you read the project executive summaries as they provide a good summary of the overall conclusions. This work demonstrated the potential value of Biomass to Power with CCS technologies as a family, but it was clear at the time of the project, that the individual technologies were insufficiently mature to be able to 'pick a winner', due to the uncertainties around cost and performance associated with lower Technology Readiness Levels (TRLs).
Publisher: ETI
Period: 01/01/2010 - 01/01/2050
Rights: Energy Technologies Institute Open Licence for Materials
TESBiC: Techno-Economic Study of Biomass to power with CCS. This model was developed as part of Work Package 3. It examines changes in cost, efficiency and emissions under different operating conditions for biomass to power with chemical looping CCS. It should be read in conjunction with the Work Package 3 reports on model specification and user documentation. The Biomass to Power with CCS Phase 1 project consisted of four work packages: WP1: Landscape review of current developments; WP2: High Level Engineering Study (down-selecting from 24 to 8 Biomass to Power with CCS technologies); WP3: Parameterised Sub-System Models development; and WP4: Technology benchmarking and recommendation report. Reports generally follow this coding. We would suggest that you do not read any of the earlier deliverables in isolation as some assumptions in the reports were shown to be invalid. Wewould recommend that you read the project executive summaries as they provide a good summary of the overall conclusions. This work demonstrated the potential value of Biomass to Power with CCS technologies as a family, but it was clear at the time of the project, that the individual technologies were insufficiently mature to be able to 'pick a winner', due to the uncertainties around cost and performance associated with lower Technology Readiness Levels (TRLs).
Publisher: ETI
Period: 01/01/2010 - 01/01/2050
Rights: Energy Technologies Institute Open Licence for Materials
TESBiC: Techno-Economic Study of Biomass to power with CCS. This model was developed as part of Work Package 3. It examines changes in cost, efficiency and emissions under different operating conditions for biodedicated IGCC with CCS. It should be read in conjunction with the Work Package 3 reports on model specification and user documentation. The Biomass to Power with CCS Phase 1 project consisted of four work packages: WP1: Landscape review of current developments; WP2: High Level Engineering Study (down-selecting from 24 to 8 Biomass to Power with CCS technologies); WP3: Parameterised Sub-System Models development; and WP4: Technology benchmarking and recommendation report. Reports generally follow this coding. We would suggest that you do not read any of the earlier deliverables in isolation as some assumptions in the reports were shown to be invalid. We would recommend thatyou read the project executive summaries as they provide a good summary of the overall conclusions. This work demonstrated the potential value of Biomass to Power with CCS technologies as a family, but it was clear at the time of the project, that the individual technologies were insufficiently mature to be able to 'pick a winner', due to the uncertainties around cost and performance associated with lower Technology Readiness Levels (TRLs).
Publisher: ETI
Period: 01/01/2010 - 01/01/2050
Rights: Energy Technologies Institute Open Licence for Materials
TESBiC: Techno-Economic Study of Biomass to power with CCS. This model was developed as part of Work Package 3. It examines changes in cost, efficiency and emissions under different operating conditions for biodedicated IGCC with CCS. It should be read in conjunction with the Work Package 3 reports on model specification and user documentation. The Biomass to Power with CCS Phase 1 project consisted of four work packages: WP1: Landscape review of current developments; WP2: High Level Engineering Study (down-selecting from 24 to 8 Biomass to Power with CCS technologies); WP3: Parameterised Sub-System Models development; and WP4: Technology benchmarking and recommendation report. Reports generally follow this coding. We would suggest that you do not read any of the earlier deliverables in isolation as some assumptions in the reports wereshown to be invalid. We would recommend that you read the project executive summaries as they provide a good summary of the overall conclusions. This work demonstrated the potential value of Biomass to Power with CCS technologies as a family, but it was clear at the time of the project, that the individual technologies were insufficiently mature to be able to 'pick a winner', due to the uncertainties around cost and performance associated with lower Technology Readiness Levels (TRLs)
Publisher: ETI
Period: 01/01/2010 - 01/01/2050
Rights: Energy Technologies Institute Open Licence for Materials
TESBiC: Techno-Economic Study of Biomass to power with CCS. This model was developed as part of Work Package 3. It examines changes in cost, efficiency and emissions under different operating conditions for biodedicated IGCC with CCS. It should be read in conjunction with the Work Package 3 reports on model specification and user documentation. The Biomass to Power with CCS Phase 1 project consisted of four work packages: WP1: Landscape review of current developments; WP2: High Level Engineering Study (down-selecting from 24 to 8 Biomass to Power with CCS technologies); WP3: Parameterised Sub-System Models development; and WP4: Technology benchmarking and recommendation report. Reports generally follow this coding. We would suggest that you do not read any of the earlier deliverables in isolation as some assumptions in the reports were shown to be invalid. We would recommend that you read the project executive summaries as they provide a good summary of the overall conclusions. This work demonstrated the potential value of Biomass to Power with CCS technologies as a family, but it was clear at the time of the project, that the individual technologies were insufficiently mature to be able to 'pick a winner', due to the uncertainties around cost and performance associated with lower Technology Readiness Levels (TRLs)
Publisher: ETI
Period: 01/01/2010 - 01/01/2050
Rights: Energy Technologies Institute Open Licence for Materials
TESBiC: Techno-Economic Study of Biomass to power with CCS. This model was developed as part of Work Package 3. It examines changes in cost, efficiency and emissions under different operating conditions for biodedicated IGCC with CCS. It should be read in conjunction with the Work Package 3 reports on model specification and user documentation. The Biomass to Power with CCS Phase 1 project consisted of four work packages: WP1: Landscape review of current developments; WP2: High Level Engineering Study (down-selecting from 24 to 8 Biomass to Power with CCS technologies); WP3: Parameterised Sub-System Models development; and WP4: Technology benchmarking and recommendation report. Reports generally follow this coding. We would suggest that you do not read any of the earlier deliverables in isolation as some assumptions in the reports were shown tobe invalid. We would recommend that you read the project executive summaries as they provide a good summary of the overall conclusions. This work demonstrated the potential value of Biomass to Power with CCS technologies as a family, but it was clear at the time of the project, that the individual technologies were insufficiently mature to be able to 'pick a winner', due to the uncertainties around cost and performance associated with lower Technology Readiness Levels (TRLs).
Publisher: Center for Global Development
Period: 01/01/2004 - 31/12/2012
Rights: Open Access
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.
Publisher: US Department of Energy (DOE)
Period: 01/01/2005 - 31/12/2049
Rights: Open Access
The mission of the US Department of Energy Hydrogen and Fuel Cells Program is to reduce petroleum use, greenhouse gas emissions, and air pollution and to contribute to a more diverse and efficient energy infrastructure by enabling the widespread commercialization of hydrogen and fuel cell technologies. The Program Records area contains supporting data for DOE publications, described as Program-related, Analysis, Fuel cells, Production/delivery, Safety codes, and standards and Storage The U.S. DOE Hydrogen and Fuel Cells Program works in partnership with industry, academia, national laboratories, federal and international agencies to:
- Overcome technical barriers through research and development of hydrogen production, delivery, and storage technologies, as well as fuel cell technologies for transportation, distributed stationary power, and portable power applications
- Address safety concerns and develop model codes and standards
- Validate and demonstrate hydrogen and fuel cell technologies in real-world conditions
- Educate key stakeholders whose acceptance of these technologies will determine their success in the marketplace.
Publisher: EOLTECH
Period: 01/01/2011 - 31/12/2049
Rights: Open Access
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.
Publisher: UK Government
Period: 27/03/2009 - 14/06/2021
Rights: UK Open Government Licence (OGL)
A list of UK energy infrastructure development applications currently under consideration, it is regularly updated. This document lists current applications under consideration. It includes:
- recommendations from the Planning Inspectorate to the Secretary of State at the Department for Business, Energy and Industrial Strategy for decisions on energy infrastructure applications under the Planning Act 2008
- applications for changes to Development Consent Orders
- applications under section 36 under the Electricity Act 1989
- applications for variations to existing S36 consents
- applications for Compulsory Purchase Orders under the Electricity Act 1989 and Acquisition of Land Act 1981
- requests to the Secretary of State for Direction under section 35 of Planning Act 2008
- applications under the Transport and Works Act 1992
Publisher: UK Energy Research Centre Energy Data Centre (UKERC-EDC)
Period: 01/01/1990 - 31/12/2009
Rights: Open Access
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
Version containing records up to 2009 GlobalWindCapacity.csv
Previous version (up to 2007) GlobalWindCapacity_v2008.csv
Publisher: Nature
Period: 01/01/2020 - 31/12/2020
Rights: CC-BY
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.
Publisher: Cardiff University
Period: 21/11/2023 - 01/01/2053
Rights: CC-BY
Using heat demand data for domestic buildings sourced from the UKERC Energy Data Centre's "Spatio-temporal heat demand for LSOAs in England and Wales", we have identified Lower Layer Super Output Areas (LSOAs) exhibiting a linear heat density surpassing 2900 kWh/m indicating their potential suitability for a heat network. We have integrated borehole information from the British Geological Survey (BGS) Single Onshore Borehole Index (SOBI), the average thermal conductivity of general soils and rocks, SAP 10.2 annual average temperature on the ground surface, and the average geothermal gradient for council areas in Great Britain. Employing the specific heat extraction rate methodology, and referencing MCS 022 Borehole Heat Exchanger look-up tables, we have generated comprehensive heat supply potential data from boreholes.
View an interactive map using ArcGIS map viewer
Publisher: The Energy Technologies Institute (ETI)
Period: 29/07/2011 - 07/06/2019
Rights: Open Access if terms and conditions accepted (ETI High Hydrogen)
The data are the results of tests carried out in a project funded by the Energy Technologies Institute (ETI) to model at reduced scale, the consequences of a flameout in a full-size combined cycle gas turbine (CCGT) when running on high hydrogen fuel mixtures. The High Hydrogen data set includes data from 69 Circular Duct Tests and 76 tests with a Heat Recovery Steam Generator. The data are further described by read me files in each directory and by reports in the directory Supporting_Documentation.Phase 1 data (Circular Duct tests 1 - 69 and Heat Recovery Steam Generator tests 1 to 17) were added in December 2017. Phase 2 data (Heat Recovery Steam Generator tests 18 to 76) were added in December 2019, when this catalogue entry was updated accordingly.
Publisher: ETI
Period: 01/01/2030 - 31/12/2030
Rights: Energy Technologies Institute Open Licence for Materials
Various scenarios for the UK's power fleet composition in 2030 and 2040 were developed. Dispatch modelling in Plexos was carried out by Baringa on these fleets to investigate the role gas fed plants might have in future. This includes the ability to study load factors, stop/starts etc, and together with concomitant pricing, provide a picture of investment remuneration. The effect of key drivers is studied e.g. gas price. This spreadsheet provides the modelling results for 2030 for Scenarios 3 and 4.
Publisher: ETI
Period: 01/01/2030 - 31/12/2030
Rights: Energy Technologies Institute Open Licence for Materials
Various scenarios for the UK's power fleet composition in 2030 and 2040 were developed. Dispatch modelling in Plexos was carried out by Baringa on these fleets to investigate the role gas fed plants might have in future. This includes the ability to study load factors, stop/starts etc, and together with concomitant pricing, provide a picture of investment remuneration. The effect of key drivers is studied e.g. gas price.
Publisher: ETI
Period: 01/01/2030 - 31/12/2030
Rights: Energy Technologies Institute Open Licence for Materials
Various scenarios for the UK's power fleet composition in 2030 and 2040 were developed. Dispatch modelling in Plexos was carried out by Baringa on these fleets to investigate the role gas fed plants might have in future. This includes the ability to study load factors, stop/starts etc, and together with concomitant pricing, provide a picture of investment remuneration. The effect of key drivers is studied e.g. gas price. This spreadsheet contains baseline, and scenario 1,2 and 3 results for aeverage power generation mix, winter mix amd modelled generation duration.
Publisher: ETI
Period: 01/01/2030 - 31/12/2030
Rights: Energy Technologies Institute Open Licence for Materials
Various scenarios for the UK's power fleet composition in 2030 and 2040 were developed. Dispatch modelling in Plexos was carried out by Baringa on these fleets to investigate the role gas fed plants might have in future. This includes the ability to study load factors, stop/starts etc, and together with concomitant pricing, provide a picture of investment remuneration. The effect of key drivers is studied e.g. gas price. The purpose of this spreadsheet is to provide:
- The pathway results (capacity, generation ,costs) for all scenarios. The pathway results are the output of the capacity optimisation model (LT: Long-Term)
- Levelised cost of electricity and value of capacity for the Base Case (Model LT: Long-Term)
- Detailed dispatch results for the Base Case for a spot year (2030). The dispatch results have been simulated with the full year dispatch model (ST: Short-Term)
- Dispatch results for two spot years (2030, 2050) for the rest of the scenarios. These results were simulated with the capacity optimisation model (LT)
- Comparisons between the Base Case and sensitivities
- Comparisons between Base Case and other GB scenarios
Publisher: ETI
Period: 01/01/2030 - 31/12/2040
Rights: Energy Technologies Institute Open Licence for Materials
Various scenarios for the UK's power fleet composition in 2030 and 2040 were developed. Dispatch modelling in Plexos was carried out by Baringa on these fleets to investigate the role gas fed plants might have in future. This includes the ability to study load factors, stop/starts etc., and together with concomitant pricing, provide a picture of investment remuneration. The effect of key drivers is studied e.g. gas price. This spreadsheet contains the data supporting the report "Hydrogen Turbines Follow On - Scenario 5 Results Pack - Power sector CCS and H2 Turbine Asset Modelling"
Publisher: EU Joint Research Centre Institute for Energy and Transport
Period: 01/01/1991 - 31/12/2022
Rights: Open Access
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.
Publisher: The Crown Estate
Period: 01/01/1999 - 31/12/2049
Rights: Open access via registration account
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.
Publisher: IAEA
Period: 01/01/1998 - 31/12/2049
Rights: Mixed access rights
The IAEA's NUCLEUS information resource portal provides access to over 100 scientific, technical and regulatory resources, including databases, applications, publications and training material. As it is mainly meant for IAEA counterparts in the government, industry and scientific community, NUCLEUS hosts a number of resources that require registration. Many sites, however, can be accessed without a password. Terms of use are available: <a href="https://www.iaea.org/topics/temporary/nucleus-terms-of-use">https://www.iaea.org/topics/temporary/nucleus-terms-of-use</a>
Publisher: Ocean Energy Systems Energy Technology Initiative (OES)
Period: 01/01/2002 - 31/12/2049
Rights: Open Access
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.
Publisher: IAEA
Period: 01/01/1954 - 31/12/2021
Rights: Open Access
The Power Reactor Information System (PRIS), developed and maintained by the IAEA for over five decades, is a comprehensive database focusing on nuclear power plants worldwide. PRIS contains information on power reactors in operation, under construction, or those being decommissioned. PRIS is available to both the general public and registered users, with registered users able to input their own data and access a statistics reporting tool. There is more information at https://pris.iaea.org/pris/About.aspx.
Publisher: UK Government
Period: 01/10/1990 - 31/12/2049
Rights: Open Access
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.
Publisher: Stefan Pfenninger of ETH Zrich and Iain Staffell of Imperial College, London.
Period: 01/01/1980 - 31/12/2016
Rights: Open Access (non-commercial use only)
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.
Publisher: Sam Cooper, University of Bath
Period: 01/01/2030 - 01/01/2050
Rights: CC-BY
This spreadsheet contains the results for the article, "Meeting the costs of decarbonising industry – the potential effects on prices and competitiveness (a case study of the UK)". These include projected impacts for industrial process decarbonisation (costs, fuel use, residual emissions), for key years (2030, 2040, 2050), distributed in the following ways:
The source of the projections and the method to perform the distribution are described in detail in the associated article.
- Directly allocated to industrial sector in which they occur
- Shared between sectors in proportion to the share of GVA of each supply chain
- Embodied in final products
- Embodied in final products, aggregated to consumption patterns
The source of the projections and the method to perform the distribution are described in detail in the associated article.
Publisher: ETI
Period: 01/01/2020 - 31/12/2050
Rights: Energy Technologies Institute Open Licence for Materials
The techno-economic project will provide a greater understanding of the options available to modify or improve the physical and chemical characteristics of different types of UK-derived 2nd generation energy biomass feedstocks, that may otherwise reduce the cost-effective performance of conversion technologies
This Excel tool presents techno-economic assessments of a library of representative biomass value chains producing heat, power, combined heat and power, or syngas. Costs are present day (projected future costs not considered), and prices or profits are not be considered. The tool does not consider uncertainty ranges, feedstock characteristics or sensitivity analyses. This Excel tool is a pre-cursor to the more sophisticated gPROMS model produced later in the project.
Note:
This Excel tool presents techno-economic assessments of a library of representative biomass value chains producing heat, power, combined heat and power, or syngas. Costs are present day (projected future costs not considered), and prices or profits are not be considered. The tool does not consider uncertainty ranges, feedstock characteristics or sensitivity analyses. This Excel tool is a pre-cursor to the more sophisticated gPROMS model produced later in the project.
Note:
- This workbook is very large, and reliant on the interaction between thousands of different input parameters and formulae
- In particular, the “Chain choice” tab contains a Data table with over a large number of rows and 3 columns, which is computationally heavy, and often leads to cycling between chains/volatile values changing
- It is therefore a very strong recommendation for the user to configure your Excel to NOT automatically update all formulae
- To do this, go to File > Options > Formulas > and select “Automatic except for data tables”.
- You can then use the Excel safely, and if you want to refresh the Data table results, hit “F9” and wait about 2 minutes. The Data table will be refreshed when the “Data Table: 1” status at the bottom right of the Excel window disappears. If you hit “F9” then move to another cell or tab, the table will not have updated.
- Youmay also find that you cannot have any other spreadsheet open at the same time.
Publisher: The Wind Power
Period: 01/01/2005 - 31/12/2049
Rights: Subscription
Publisher: The IES, School of Engineering, The University of Edinburgh; Energy Technologies Institute (ETI)
Period: 23/06/2011 - 22/10/2014
Rights: ReDAPT Marine
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>
Publisher: RenewableUK
Period: 01/01/2011 - 31/12/2049
Rights: Mixed access rights
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.
Publisher: NERC
Period: 01/12/2018 - 31/12/2021
Rights: UK Open Government Licence (OGL)
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.
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