This paper describes the application of a data-driven localised Geographical Information System based decision support tool to spatially identify (model and map) suitable households accurately and cost effectively, using a case study in Oxford (UK). Drawing on publicly available datasets on housing and energy, and combining it with local datasets and energy modelling, optimal neighbourhoods and dwellings are targeted for specific retrofit measures to meet the specific need of obligated energy suppliers in the context of the Energy Company Obligation. Findings show that dwellings most in need of insulation upgrade and relief from high energy bills are not necessarily the dwellings with the greatest energy consumption per area.
Gupta, RajatGreg, Matt
Faculty of Technology, Design and Environment\School of Architecture
Year of publication: 2018Date of RADAR deposit: 2018-07-19