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This data set was updated on 14/10/2021. The top-level folder holds the latest version and a README file detailing the changes. The original version is retained in a sub-folder.
The data were collected as part of an experiment within the MANIFEST project to study the efficiency of an emulated supercapacitor using the Smart Grid Laboratory at Newcastle University, UK.
The EPSRC funded Multi-scale ANalysis for Facilities for Energy STorage (Manifest) Project (EP/N032888/1) aimed to study and investigate the capabilities of energy storage systems installed in UK Universities.
The data were collected as part of an experiment within the MANIFEST project to demonstrate the efficiency of the supercapacitor energy storage system and associated power converters in the Smart Grid Laboratory at Newcastle University, UK.
The EPSRC funded Multi-scale ANalysis for Facilities for Energy STorage (Manifest) Project (EP/N032888/1) aimed to study and investigate the capabilities of energy storage systems installed in UK Universities.
The data were collected as part of an experiment within the MANIFEST project to demonstrate control operations of an ESS using the Smart Grid Laboratory at Newcastle University, UK.
The EPSRC funded Multi-scale ANalysis for Facilities for Energy STorage (Manifest) Project (EP/N032888/1) aimed to study and investigate the capabilities of energy storage systems installed in UK Universities.
The data were collected as part of an experiment within the MANIFEST project to study the response time of an ESS using the Smart Grid Laboratory at Newcastle University, UK.
The EPSRC funded Multi-scale ANalysis for Facilities for Energy STorage (Manifest) Project (EP/N032888/1) aimed to study and investigate the capabilities of energy storage systems installed in UK Universities.
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.
The TEAB project compares the costs, efficiencies and GHG emissions of biomass supply chains with and without significant pre-processing, to assess whether and how pre-processing steps can benefit UK bioenergy supply chains.
Ten supply chains were selected for modelling and analysis in the project, two of which generate heat, and eight generating power. These are compared in groups according to their shared conversion technology, and all the chains are able to use a blend of Miscanthus and woody feedstocks (from 0-100%).
Available here are gPROMS and Excel models describing bioenergy supply chains, and project reports. Further README files in the models and reports sub-directories describe the contents further.
The Characterisation of Feedstocks Project was commissioned by The Energy Technologies Institute (ETI) and carried out by Forest Research, and Uniper Technologies Ltd (formerly part of E.ON).
Five crops were considered: Miscanthus, willow short-rotation-coppice (SRC), poplar SRC, poplar short-rotation-forestry (SRF), and conifer SRF.
Eight studies were carried out:In phase 1 (fieldwork spring to autumn 2015):1. To examine the impact of climate zone, soil type, harvesting time, and storage on Miscanthus, willow SRC, poplar SRC, poplar SRF and conifer SRF2. To examine the variation between and within fields of Miscanthus and willow SRC3. To examine the feedstock characteristics of willow SRC and poplar SRF leaves4. To examine the feedstock characteristics of Miscanthus before and after pelletisingIn phase 2 (fieldwork November 2015 to November 2016):V1. To examine the impact of harvest time on Miscanthus characteristicsV2. To examine the impact of harvest time on willow characteristicsV3. To examine the impact of varieties on willow characteristicsV4. To examine the impact of storage time on Miscanthus characteristics
NOTE to UK-DALE data users: the UK-DALE data sets are large. It may not be possible to download all the data in one go.
This data set continues UK-DALE-2015 : UK-DALE-16kHzNOTE to UK-DALE data users: the UK-DALE data sets are large. It may not be possible to download all the data in one go.
See Kelly, J. and Knottenbelt, W. The UK-DALE dataset, domestic appliance-level electricity demand and whole-house demand from five UK homes. Sci. Data 2:150007 doi: 10.1038/sdata.2015.7 (2015). arXiv:1404.0284 (2015)NOTE to UK-DALE data users: the UK-DALE data sets are large. It may not be possible to download all the data in one go.
This data set includes and extends UK-DALE-2015 disaggregated. The disaggregated UK-DALE-2015 data are available as separate .dat files. This data set is available as a single zip file of the full set of plain text .dat files or as a single zip of the full set of HDF5 format data.NOTE to UK-DALE data users: the UK-DALE data sets are large. It may not be possible to download all the data in one go.
See Kelly, J. and Knottenbelt, W. The UK-DALE dataset, domestic appliance-level electricity demand and whole-house demand from five UK homes. Sci. Data 2:150007 doi: 10.1038/sdata.2015.7 (2015). arXiv:1404.0284 (2015)Ecosystem Land Use Modelling and Soil Carbon Flux Trial (ELUM) was funded and commissioned by the Energy Technologies Institute (the ETI) and carried out by the Centre for Ecology and Hydrology (CEH), the University of Aberdeen, the University of Southampton, Forest Research, Aberystwyth University, the University of Edinburgh and the University of York.
The ELUM project aims were to provide greater understanding on the greenhouse gas (GHG) and soil carbon changes arising as a result of direct land-use change (dLUC) to bioenergy crops, with a primary focus on the second-generation bioenergy crops Miscanthus, short rotation coppice (SRC) willow and short rotation forestry (SRF).
Experimental fieldwork on Miscanthus, SRC Willow, and SRF, and adjacent control sites, was conducted at locations across the length and breadth of mainland UK to capture data across both temporal and spatial scales.
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