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Data Driven Local Energy Mapping for Urban Retrofit (LEMUR)

Reference Number
InnUK/132027/01
Title
Data Driven Local Energy Mapping for Urban Retrofit (LEMUR)
Status
Completed
Energy Categories
Energy Efficiency(Residential and commercial)
Research Types
Applied Research and Development
Final stage Development and Demonstration
Science and Technology Fields
SOCIAL SCIENCES (Economics and Econometrics)
SOCIAL SCIENCES (Town and Country Planning)
SOCIAL SCIENCES (Business and Management Studies)
UKERC Cross Cutting Characterisation
Sociological economical and environmental impact of energy (Policy and regulation)
Sociological economical and environmental impact of energy (Technology acceptance)
Other (Energy technology information dissemination)
Principal Investigator
Project Contact
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
Other Investigator
Project Contact, Sch of the Built Environment, Oxford Brookes University
Project Contact, Cherwell District Council
Project Contact, Future Cities Catapult
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.
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Added to Database
18/01/16