Projects
Projects: Projects for Investigator |
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| Reference Number | InnUK/132027/01 | |
| Title | Data Driven Local Energy Mapping for Urban Retrofit (LEMUR) | |
| Status | Completed | |
| Energy Categories | Energy Efficiency(Residential and commercial) 100%; | |
| Research Types | Applied Research and Development 50%; Final stage Development and Demonstration 50%; |
|
| Science and Technology Fields | SOCIAL SCIENCES (Economics and Econometrics) 25%; SOCIAL SCIENCES (Town and Country Planning) 50%; SOCIAL SCIENCES (Business and Management Studies) 25%; |
|
| UKERC Cross Cutting Characterisation | Sociological economical and environmental impact of energy (Policy and regulation) 50%; Sociological economical and environmental impact of energy (Technology acceptance) 25%; Other (Energy technology information dissemination) 25%; |
|
| Principal Investigator |
Project Contact No email address given Bioregional Development Group |
|
| Award Type | Collaborative Research & Development | |
| Funding Source | Innovate-UK | |
| Start Date | 01 September 2015 | |
| End Date | 31 August 2016 | |
| Duration | 12 months | |
| Total Grant Value | £161,531 | |
| Industrial Sectors | ||
| Region | London | |
| Programme | Competition Call: 1412_FS_FUT_CIT_SUCD - Solving Urban Challenges with Data - Feasibility Studies. Activity Solving urban challenges with data (FS) | |
| Investigators | Principal Investigator | Project Contact , Bioregional Development Group (35.045%) |
| Other Investigator | Project Contact , Sch of the Built Environment, Oxford Brookes University (49.568%) Project Contact , Cherwell District Council (6.196%) Project Contact , Future Cities Catapult (9.191%) |
|
| Web Site | ||
| Objectives | ||
| Abstract | Environmental, economic and social data will be used to address the urban challenge local authorities face: the need to improve energy performance of the built environment, to help alleviate fuel poverty related health issues and improve the local economy. This project is a feasibility study establishing how publicly available built environment, energy and social datasets can be used and personalised to plan mass retrofit and to provide targeted low carbon measures across the city. Combining datasets to map information on buildings and particular local needs, a new value proposition develops allowing local authorities to plan targeted retrofit schemes involving community groups, local energy technicians and retrofit businesses. This results in a wider roll out of retrofit measures, cheaper retrofit delivery and more effective outreach to vulnerable residents. The visible outcome will also be an easy to use prototype online tool, free to community groups and paid for by local authorities, that facilitates this planning and delivery process.Environmental, economic and social data will be used to address the urban challenge local authorities face: the need to improve energy performance of the built environment, to help alleviate fuel poverty related health issues and improve the local economy. This project is a feasibility study establishing how publicly available built environment, energy and social datasets can be used and personalised to plan mass retrofit and to provide targeted low carbon measures across the city. Combining datasets to map information on buildings and particular local needs, a new value proposition develops allowing local authorities to plan targeted retrofit schemes involving community groups, local energy technicians and retrofit businesses. This results in a wider roll out of retrofit measures, cheaper retrofit delivery and more effective outreach to vulnerable residents. The visible outcome will also be an easy to use prototype online tool, free to community groups and paid for by local authorities, that facilitates this planning and delivery process.Environmental, economic and social data will be used to address the urban challenge local authorities face: the need to improve energy performance of the built environment, to help alleviate fuel poverty related health issues and improve the local economy. This project is a feasibility study establishing how publicly available built environment, energy and social datasets can be used and personalised to plan mass retrofit and to provide targeted low carbon measures across the city. Combining datasets to map information on buildings and particular local needs, a new value proposition develops allowing local authorities to plan targeted retrofit schemes involving community groups, local energy technicians and retrofit businesses. This results in a wider roll out of retrofit measures, cheaper retrofit delivery and more effective outreach to vulnerable residents. The visible outcome will also be an easy to use prototype online tool, free to community groups and paid for by local authorities, that facilitates this planning and delivery process.Environmental, economic and social data will be used to address the urban challenge local authorities face: the need to improve energy performance of the built environment, to help alleviate fuel poverty related health issues and improve the local economy. This project is a feasibility study establishing how publicly available built environment, energy and social datasets can be used and personalised to plan mass retrofit and to provide targeted low carbon measures across the city. Combining datasets to map information on buildings and particular local needs, a new value proposition develops allowing local authorities to plan targeted retrofit schemes involving community groups, local energy technicians and retrofit businesses. This results in a wider roll out of retrofit measures, cheaper retrofit delivery and more effective outreach to vulnerable residents. The visible outcome will also be an easy to use prototype online tool, free to community groups and paid for by local authorities, that facilitates this planning and delivery process. | |
| Publications | (none) |
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| Final Report | (none) |
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| Added to Database | 18/01/16 | |
