Conference Paper


A new GIS based decision support tool for enabling local energy retrofits

Abstract

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.

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Authors

Gupta, Rajat
Greg, Matt

Oxford Brookes departments

Faculty of Technology, Design and Environment\School of Architecture

Dates

Year of publication: 2018
Date of RADAR deposit: 2018-07-19


Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License


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This RADAR resource is the Accepted Manuscript of A new GIS based decision support tool for enabling local energy retrofits

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