Results: Searching for 'Industrial'

• 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.

• 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 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 dataset is superseded by a later version in our records. It can be found at 0bf23c64-f70d-4562-99e9-c16b75369222

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

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 UK's energy use by industry (SIC 2007 group - around 130 categories), source (for example, industrial and domestic combustion, aircraft, road transport and so on - around 80 categories) and fuel (for example, anthracite, peat, natural gas and so on - around 20 categories), 1990 to 2023.

The Aquifer Brine project assesses the potential for brine production through dedicated wells in target CO2 storage formations to 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.

• 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

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 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.
• You may also find that you cannot have any other spreadsheet open at the same time.

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

• 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

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.

The whole UKSAP results have been made available in the CO2 Stored database.

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.