Results: Searching for 'Industrial'

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.

The Australia Hydrogen Opportunities Tool (AusH2) provides free access to geoscience data and tools for mapping and understanding the potential for hydrogen production in Australia. GIS data and publications available

This spreadsheet model was produced in 2009 as part of the CCS Capture Benchmarking Study, and provides a techno-economic analysis of the performance of four state-of-the-art power generation/CO₂ capture designs (coal with post-combustion capture, coal with gasification/pre-combustion capture, coal with oxy-firing and combined cycle gas turbine with post-combustion capture). The spreadsheet enables ‘what if’ calculations of costs for designs with 85%, 90% and 95% capture rates. Outputs include capital costs, operating costs, cost of capture and levelised cost of electricity (LCOE). The spreadsheet concentrates on power generation, capture and compression, but allows manual input of transport and storage costs to provide overall figures. The model is partly superseded by work undertaken and reported in the Benchmark Refresh project.

This spreadsheet model was produced in 2010 as part of the CCS Capture Benchmarking Study, and provides a techno-economic analysis of the performance of four state-of-the art power generation/CO₂ capture designs (coal with post-combustion capture, coal with gasification/pre-combustion capture, coal with oxy-firing and combined cycle gas turbine with post-combustion capture). The spreadsheet enables ‘what if’ calculations of costs for designs with 85%, 90% and 95% capture rates. Outputs include capital costs, operating costs, cost of capture and levelised cost of electricity (LCOE). The spreadsheet concentrates on power generation, capture and compression, but allows manual input of transport and storage costs to provide overall figures. The model is partly superseded by work undertaken and reported in the Benchmark Refresh project.

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

Annual data on carbon dioxide emissions intensity, measuring the level of emissions per unit of economic output. These data are part of the environmental accounts data set. https://www.ons.gov.uk/economy/environmentalaccounts/datalist?filter=datasets

The Characterisation of Feedstocks project provides an understanding of UK produced 2nd generation energy biomass properties, how these vary and what causes this variability. In this project, several types of UK-grown biomass, produced under varying conditions, were sampled.  The biomass sampled included Miscanthus, Short Rotation Forestry (SRF) and Short Rotation Coppice (SRC) Willow.  The samples were tested to an agreed schedule in an accredited laboratory.  The results were analysed against the planting, growing, harvesting and storage conditions (i.e. the provenance) to understand what impacts different production and storage methods have on the biomass properties. The main outcome of this project is a better understanding of the key characteristics of UK biomass feedstocks (focusing on second generation) relevant in downstream energy conversion applications, and howthese characteristics vary by provenance.

This Excel Workbook presents the data arising from all experiments carried out under the Characterisation of Feedstocks Project. The data set includes: the sites sampled, the conditions at the time of sampling, provenance data, soil laboratory results and biomass laboratory results. The feedstock studies carried out to yield these data are shown in the “Workbook Details” sheet – this sheet also briefly describes the quality assurance process for the data. As a result of the breadth and depth of data provided in these tables, the ETI anticipates that these data will be useful to a range users including

• Academics whose research focuses on bioenergy crop production or use of bioenergy crops in pre-treatment or conversion technologies;
• Modellers seeking biomass physical property data
• Bioenergy project developers seeking to understand their design envelopes;
• Existing commercial biomass users seeking to understand process performance;
• Biomass buyers assessing risks and defining fuel specifications.

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 objective of the Consumers, Vehicles and Energy Integration project is to inform UK Government and European policy and to help shape energy and automotive industry products, propositions and investment strategies. Additionally, it aims to develop an integrated set of analytical tools that models future market scenarios in order to test the impact of future policy, industry and societal choices. The project is made up of two stages:

• Stage 1 aims to characterize market and policy frameworks, business propositions, and the integrated vehicle and energy infrastructure system and technologies best suited to enabling a cost-effective UK energy system for low-carbon vehicles, using the amalgamated analytical toolset.
•  Stage 2 aims to fill knowledge gaps and validate assumptions from Stage 1 through scientifically robust research, including real world trials with privatevehicle consumers and case studies with business fleets. A mainstream consumer uptake trial will be carried out to measure attitudes to PiVs after direct experience of them, and consumer charging trials will measure mainstream consumer PiV charging behaviours and responses to managed harging options

This spreadsheet accomanies the report that represents Deliverable D3.1, Battery Cost and Performance and Battery Management System Capability Report and Battery Database. The purpose of this report is capture the approach proposed to develop cost and performance projections for automotive batteries to 2050.

This spreadsheet contains the Battery Cost and Performance Database.

This publication has been produced as part of the work on the ETI’s internationally peer reviewed energy system modelling environment (ESME) - a national energy system design and planning capability that helps to identify key areas for ETI investments. ESME is also used by UK Government to underpin and inform energy policy.

This file includes summary results from a standard run of ESME v4.3. A standard set of core charts exported from the ESME model showing energy flows and technology deployment in each major sector. Below each chart a table shows the corresponding numerical data

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.

This file includes summary results from a standard run of ESME v4.2 (the most recent version of the model). A standard set of core charts exported from the ESME model showing energy flows and technology. This publication has been produced as part of the work on the ETI’s internationally peer reviewed energy system modelling environment (ESME) - a national energy system

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

This file provides a harmonised data for the UK main manufacturing industry based on the NAEI 2020 data https://naei.beis.gov.uk/data/map-large-source, which can be used for analysis and modelling.Since the original NAEI data include sites that do not fall within the definition of manufacturing industry, we created this harmonised data for ease of use. We classified the sectors into: Iron and steel, Chemicals, Cement, Food and drink, Paper, Refining, Lime, Glass, Ceramics, Other minerals, and Other industry. We also converted the 'Easting' and 'Northing' to 'Latitude' and 'Longitude'.

From 2018 to 2023, Innovate UK and the Engineering and Physical Sciences Research Council (EPSRC) delivered a major innovation programme focused on smart local energy systems: Prospering from the Energy Revolution.

The programme was funded by UK Research and Innovation (UKRI) under the Industrial Strategy Challenge Fund. Its aim: to work with businesses, communities and academics to explore intelligently joining up energy supply, storage and use at a local and regional level.

We live, work and travel in regions, cites, towns and communities. Yet our energy infrastructure is still very centralised – sending energy one way, from bulk supply points to the networks’ edges where we live and work.

This programme asked: what if we could bring together energy supply, storage and use to create energy-smart places, enabled by the latest technologies? Could we balance supply and demand locally, improve flexibility and resilience, save costs and carbon, and create new ways of living with energy?

With £104m of funding from UKRI, the programme funded over 80 projects around the UK, from feasibility studies to large-scale demonstrators.

The result: a rich bank of learning and evidence that will help everyone working to unlock the potential of place-based energy.

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

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

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.

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

The Aquifer Brine project assessed the modeled impact of removing brine from potential undersea carbon dioxide stores on store capacity and costs using selected real locations and synthetic models. It followed on from the UK Storage Appraisal Project which assessed the UK CO2 storage capacity for CCS in offshore geological formations.

The Aquifer Brine project assesses the potential for brine production through dedicated wells in target CO2 storage formationsto increase CO2 storage capacity and reduce the overall cost of storage - as well as any other potential benefits forCO2 store operators associated with brine production.

It followed on from the UK Storage Appraisal Project.

Proprietary software is needed to access the geological models. See ReadMe file with data for details.

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

A forecast of electricity use in the UK in the next ten years, with different scenarios base on different assumptions about demand, supply and European interconnection. Published annually. The PDF report gives the overview and scenario forecasts. All the supporting data is downloadable to Excel.

The Pollution Inventory (PI) includes information on annual mass releases of specified substances to air controlled waters and sewers as well as quantities of waste transferred off site from large industrial sites regulated by the Environment Agency including sites in energy sectors. This replaced the Chemical Release Inventory (CRI) in 1998 and is sometimes referred to as the Inventory of Sources and Releases (ISR).

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:

• 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.

Flexible Networks for a Low Carbon Future was a Low Carbon Networks Fund innovation trial project, led by SP Energy Networks. As part of the project, network monitoring equipment was installed in eight primary (33/11kV) and over 150 secondary (11kV/415V) substations in three test areas

SP Energy Networks are pleased to provide access to the complete data set (which is hosted by the University of Strathclyde) in response to requests.

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

This spreadsheet provides a detailed Level 2 Cost Estimate for the Minimum Viable Development of Captain Subsea Option - MVD (No Goldeneye) for CO2 CCS Storage in the Central North Sea.

This spreadsheet provides the underlying breakdown of the capital cost estimate for the NE England location. Note that minor changes have been made to numbers in the spreadsheet to protect commercially sensitive cost data that was used in calculating the operating cost in D5.1. Hence the total numbers in the spreadsheet may differ slightly from those presented in D5.1.

This spreadsheet provides a detailed Level 2 Cost Estimate for the Minimum Viable Development of CCS Storage in the Ormskirk Sandstone in the faulted horst block known as Hamilton (UKCS block 110/13) in the East Irish Sea.

This spreadsheet provides a detailed Level 2 Cost Estimate for CCS Storage in Site 2: Forties 5 - South Site

This spreadsheet provides a detailed Level 2 Cost Estimate for the Minimum Viable Development of Site 7: Bunter Closure 36 for CCS Storage.

This spreadsheet provides a detailed Level 2 Cost Estimate for the Minimum Viable Development of Site 7: Bunter Closure 36 for CCS Storage.

Geological and reservoir engineering models for five potential CO2 storage sites around the UK. Five sites were selected from the UKs national CO2 storage database CO2Stored which was created by the UK Storage Appraisal Project (UKSAP). Outline storage development plans and budgets were prepared for each.
The project was funded by DECC, commissioned by the ETI and carried out by Pale Blue Dot Energy, Axis Well Technology and Costain.
The data are further described by read me files in each directory and by reports in the Reports directory.

This project, funded with up to £2.5m from the UK Department of Energy and Climate Change (DECC - now the Department of Business, Energy and Industrial Strategy), was led by Aberdeen-based consultancy Pale Blue Dot Energy supported by Axis Well Technology and Costain. The project appraised five selected CO2 storage sites towards readiness for Final Investment Decisions. The sites were selected from a short-list of 20 (drawn from a long-list of 579 potential sites), representing the tip of a very large strategic national CO2 storage resource potential (estimated as 78,000 million tonnes). The sites were selected based on their potential to mobilise commercial-scale carbon, capture and storage projects for the UK. Outline development plans and budgets were prepared, confirming no major technical hurdles to storing industrial scale CO2 offshore in theUK with sites able to service both mainland Europe and the UK. The project built on data from CO2stored - the UK's CO2 storage atlas - a database which was created from the ETI's UK Storage Appraisal Project. This is now publically available and being further developed by The Crown Estate and the British Geological Survey. Information on CO2Stored is available atwww.co2stored.com. This spreadsheet is the appraisal model of Site 14: Captain Aquifer

This project, funded with up to £2.5m from the UK Department of Energy and Climate Change (DECC - now the Department of Business, Energy and Industrial Strategy), was led by Aberdeen-based consultancy Pale Blue Dot Energy supported by Axis Well Technology and Costain. The project appraised five selected CO2 storage sites towards readiness for Final Investment Decisions. The sites were selected from a short-list of 20 (drawn from a long-list of 579 potential sites), representing the tip of a very large strategic national CO2 storage resource potential (estimated as 78,000 million tonnes). The sites were selected based on their potential to mobilise commercial-scale carbon, capture and storage projects for the UK. Outline development plans and budgets were prepared, confirming no major technical hurdles to storing industrial scale CO2 offshore in theUK with sites able to service both mainland Europe and the UK. The project built on data from CO2stored - the UK's CO2 storage atlas - a database which was created from the ETI's UK Storage Appraisal Project. This is now publically available and being further developed by The Crown Estate and the British Geological Survey. Information on CO2Stored is available atwww.co2stored.com. This spreadsheet is the appraisal model of Site 19: Hamilton

This project, funded with up to £2.5m from the UK Department of Energy and Climate Change (DECC - now the Department of Business, Energy and Industrial Strategy), was led by Aberdeen-based consultancy Pale Blue Dot Energy supported by Axis Well Technology and Costain. The project appraised five selected CO2 storage sites towards readiness for Final Investment Decisions. The sites were selected from a short-list of 20 (drawn from a long-list of 579 potential sites), representing the tip of a very large strategic national CO2 storage resource potential (estimated as 78,000 million tonnes). The sites were selected based on their potential to mobilise commercial-scale carbon, capture and storage projects for the UK. Outline development plans and budgets were prepared, confirming no major technical hurdles to storing industrial scale CO2 offshore in theUK with sites able to service both mainland Europe and the UK. The project built on data from CO2stored - the UK's CO2 storage atlas - a database which was created from the ETI's UK Storage Appraisal Project. This is now publically available and being further developed by The Crown Estate and the British Geological Survey. Information on CO2Stored is available atwww.co2stored.com. This spreadsheet is the appraisal model of Site 2: Forties 5 (North And South Combined)

This project, funded with up to £2.5m from the UK Department of Energy and Climate Change (DECC - now the Department of Business, Energy and Industrial Strategy), was led by Aberdeen-based consultancy Pale Blue Dot Energy supported by Axis Well Technology and Costain. The project appraised five selected CO2 storage sites towards readiness for Final Investment Decisions. The sites were selected from a short-list of 20 (drawn from a long-list of 579 potential sites), representing the tip of a very large strategic national CO2 storage resource potential (estimated as 78,000 million tonnes). The sites were selected based on their potential to mobilise commercial-scale carbon, capture and storage projects for the UK. Outline development plans and budgets were prepared, confirming no major technical hurdles to storing industrial scale CO2 offshore in theUK with sites able to service both mainland Europe and the UK. The project built on data from CO2stored - the UK's CO2 storage atlas - a database which was created from the ETI's UK Storage Appraisal Project. This is now publically available and being further developed by The Crown Estate and the British Geological Survey. Information on CO2Stored is available atwww.co2stored.com. This spreadsheet is the appraisal model of Site 5: Viking

This project, funded with up to £2.5m from the UK Department of Energy and Climate Change (DECC - now the Department of Business, Energy and Industrial Strategy), was led by Aberdeen-based consultancy Pale Blue Dot Energy supported by Axis Well Technology and Costain. The project appraised five selected CO2 storage sites towards readiness for Final Investment Decisions. The sites were selected from a short-list of 20 (drawn from a long-list of 579 potential sites), representing the tip of a very large strategic national CO2 storage resource potential (estimated as 78,000 million tonnes). The sites were selected based on their potential to mobilise commercial-scale carbon, capture and storage projects for the UK. Outline development plans and budgets were prepared, confirming no major technical hurdles to storing industrial scale CO2 offshore in theUK with sites able to service both mainland Europe and the UK. The project built on data from CO2stored - the UK's CO2 storage atlas - a database which was created from the ETI's UK Storage Appraisal Project. This is now publically available and being further developed by The Crown Estate and the British Geological Survey. Information on CO2Stored is available at www.co2stored.com. This spreadsheet is the appraisal model of Site 7: Bunter Closure 36.

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 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.

In its Insights report, “The Role For Bioenergy in Decarbonising the UK Energy System: Findings from the ETI Bioenergy Programme”, the ETI reviews its 10 year bioenergy programme and recommends an increase in biomass production and the creation of the right environment to advance bioenergy with carbon capture and storage (BECCS) as a core component in a push to a low and net zero carbon UK. This Insights report is available for download from the ETI’s website.

This workbook prevents the full set of ESME results charts for the five scenarios examined in the main report:

1. Base Case
2. Reduced Biomass and biofuel feedstock availability
3. No CCS
4. No biomass gasification
5. No biomass gasification + no CSS

There are two worksheets for each scenario

• Core Charts - a single worksheet with key charts from each scenario, with aggregated categories for easier interpretation
• N. (Scenario) - Detail - All charts produced for the scenario, including a more detailed category breakdown

All scenarios were run using version 4.3 of ESME

The Electricity Pool operated from 1st April 1990 to 26th March 2001, controlling the trading of electricity within England and Wales. The Electricity Pool data contains system demand and transmission losses plus the price information (/MWh) within the trading pool, comprising the three main prices: Pool purchase price (PPP), the basis of payments to generators; Pool selling price (PSP), the basis of payments by suppliers; and system marginal price (SMP), the highest offered price for any generating set scheduled by the Pool to run before system constraints are taken into account. The Electricity Pool system was replaced by the New Electricity Trading Arrangements (NETA/BETTA) from 27 March 2001. (Note : It is mandatory to acknowledge the UKERC EDC and the data owner Poolit Ltd when any use of this data is made in publications) Explanation of parameters and pool operation
PSP : Pool Selling Price, is the price paid mostly by RECs purchasing electricity from the Pool to sell to their final commercial, industrial and residential customers; this value is determined for two distinct price-rule regimes referred to as Table A and Table B periods, such that: PSP = SMP + CC + UPLIFT = PPP + UPLIFT
SMP : System Marginal Price is the highest offered price for any generating set scheduled by the Pool before system constraints are taken into account
LOLP : Loss Of Load Probability, a decreasing function of the expected amount of excess capacity available during each half-hour period, determined for each half-hour as the probability of a supply interruption due to generation capacity being insufficient to meet demand (the greater the amount of capacity available relative to expected demand in any half-hour, the lower the LOLP and therefore the lower the capacity charge per KWH paid to generators)
VOLL : Value Of Lost Load, representing the per kWh willingness of customers to pay to avoid supply interruptions; it was set by the Director General of the Office of Electricity Regulation (OFFER) at 2,000 per megawatt-hour (MWH) for 1990/91 and was then increased annually by the growth in the RPI
PPP : Pool Purchase Price, is the price paid to generators for electricity purchased into the Pool
CC : Capacity Charge: CC = LOLP * (VOLL - SMP) is a signal to generators of the necessity for additional generation capacity and to consumers that their consumption has a significant probability of requiring the maximum amount of generating capacity available in that load period
UPLIFT : a charge to compensate generators for reserve, plant available but not actually used to meet demand, and startup costs, known only ex post and therefore the only price uncertainty from the day ahead perspective; it is collected over at least 28 Table A pricing periods each day (UPLIFT is zero for Table B pricing periods) according to the formula: Availability Payment/MWh = LOLP*(VOLL - max(SMP, bid price))

UKESTO showcases national energy storage innovation, describing energy storage facilities in the UK and providing data from test beds.

In 2012 the Engineering and Physical Sciences Research Council (EPSRC) funded the Energy Storage Capital Grants call, where fifteen institutions received 30m pounds of funding across five consortia for the development and testing of energy storage technologies that span application areas. The consortia leads were the University of Birmingham, Imperial College, Loughborough University, the University of Manchester, and the University of Sheffield.

In 2016 these institutions secured a 4m pound investment from EPSRC to deliver the Multi-scale Analysis for Facilities for Energy Storage (MANIFEST) project, where the UK Energy Storage Observatory is a major deliverable.

This file includes summary results from the ESME model runs which correspond to Clockwork and Patchwork, the two scenarios described in the Options Choices Actions booklet. A standard set of core charts exported from the ESME model showing energy flows and technology deployment in each major sector. Below each chart a table shows the corresponding numerical data.

This publication has been produced as part of the work on the ETI’s internationally peer reviewed energy system modelling environment (ESME) - a national energy system design and planning capability that helps to identify key areas for ETI investments.  ESME is also used by UK Government to underpin and inform energy policy.

The ETI-funded UKSAP (UK Storage Appraisal Project) provides a fully auditable and defensible overall estimate of UK CO2 storage capacity for CCS in offshore geological formations. <p>The whole UKSAP results have been made available in the CO2 Stored database.</p><p>Most storage reservoirs were modeled as simplified representative structures. Detailed reservoir simulation models known as Exemplar Models were created for two sites, Bunter and Forties. Both were modeled with proprietary geological simulation software Eclipse and Petrel and these models are made available here.</p>

One of the largest databases in the world on the production and trade of minerals, provided by the British Geological Survey (BGS). The data is published each year in three annual publications: World Mineral Production, European Mineral Statistics, UK Minerals Yearbook.The database compilers aim for integrity and accuracy and, for quality control of data, participate in international specialist groups and maintain close links with other mineral statistics providers in Europe and North America.