Number of results found for Subject: Economic Factors 6
Financing Community Energy Survey Dataset
Publisher: Financing Community Energy Research Project
Period: 01/01/2014 - Ongoing
Rights: Open Access
The data were gathered through a survey undertaken as part of the Financing Community Energy research project with the aim of improving understanding of the business models and financial characteristics of community energy projects in the UK. Data from individual projects have been aggregated into multi-project records in accordance with confidentiality undertakings made to survey participants. The survey formed part of the Financing Community Energy research project, itself part of the UK Energy Research Centre research programme. An analysis of the data has been published in Nature Energy (February 2020) https://doi.org/10.1038/s41560-019-0546-4. This project was led by Professor Carly McLachlan of the Tyndall Centre for Climate Change Research, University of Manchester, and funded as part of the UKERC research programme. It involved researchers from the University of Manchester, University of Strathclyde, and Imperial College. The researchers involved with the survey were Carly McLachlan, Sarah Mander, Maria Sharmina, Ed Manderson and Tim Braunholtz-Speight (University of Manchester); Matthew Hannon (University of Strathclyde); and Jeff Hardy (Imperial College). Christina Birch and Christopher Walsh (University of Manchester) also provided some research assistance to the survey. Some data from Community Energy Englands (CEE) 2017 State of the Sector survey was also used, by agreement with CEE. The survey covered characteristics of community energy organisations, and of the projects they run. With regard to organisations, it included legal structure, annual turnover, numbers of paid staff and volunteers, and numbers of members. In relation to each project, topics included: energy activities (including electricity or heat generation, and energy efficiency); ownership (sole or partnership type); financing (details of each instrument type, value, terms etc.); resources employed (including sites, technical, financial and legal services, general administration); costs (operating and financing); revenues (values and sources); value propositions (a range of economic, social and environmental propositions); customers (types, rates paid, etc.); and other beneficiaries.
Statistics relating to the demographics of fuel poverty in England, where fuel poverty is defined by the Low Income / High Costs balance, which considers a household to be in fuel poverty if: (i) the household has required fuel costs above average (national median level) and (ii) was the household to spend that amount it would be left with a residual income below the official poverty line. The key drivers behind fuel poverty are: The energy efficiency of the property (and therefore, the energy required to heat and power the home); The cost of energy; Household income. Registration with the UK Data Archive is required before data can be accessed
Impact is a parish-level carbon emission estimator which tells you how people in the parish travel and heat their homes, and other activities in the area that contribute to the local carbon emissions total. It shows territorial and consumption based emissions calculations. Graphical data charts and csv download are available.
Ofgem Energy Company Obligation (ECO) Eligibility System
Period: 03/12/2018 - Ongoing
Rights: Open Access
The Ofgem Energy Company Obligation (ECO) Eligibility System is a tool for confirming which postcodes are eligible for the Home Heating Cost Reduction Obligation (HHCRO). See https://eco.locationcentre.co.uk/help.aspx for more details.
Techno-Economic Assessment of Biomass Pre-Processing (TEAB)
Publisher: The Energy Technologies Institute (ETI)
Period: 18/05/2015 - Ongoing
Rights: Open Access if terms and conditions accepted (ETI TEAB)
Modelling of the costs, efficiencies and greenhouse gas emissions of biomass supply chains with and without significant pre-processing.
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.
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