Assessing energy improvement potential from efficiency and renewable interventions at neighborhood level

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Authors

External departments

  • Teesside University

Details

Original languageEnglish
Title of host publicationComputing in Civil and Building Engineering - Proceedings of the 2014 International Conference on Computing in Civil and Building Engineering
EditorsR. Raymond Issa, Ian Flood
PublisherAmerican Society of Civil Engineers (ASCE)
Pages1602-1609
Number of pages8
ISBN (Electronic)9780784413616
DOIs
Publication statusPublished - 1 Jan 2014
Externally publishedYes
Event2014 International Conference on Computing in Civil and Building Engineering - Orlando, United States
Duration: 23 Jun 201425 Jun 2014

Publication series

NameComputing in Civil and Building Engineering - Proceedings of the 2014 International Conference on Computing in Civil and Building Engineering

Conference

Conference2014 International Conference on Computing in Civil and Building Engineering
CountryUnited States
CityOrlando
Period23/06/1425/06/14
Publication type

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Tools for the estimation of energy performance improvement - achievable through energy efficiency and renewable energy interventions, with decision-making capabilities for policy implementation at the neighborhood level - are still lacking. In this paper, we present a proof-of-concept tool that integrates a decision support mechanism for enabling opinions and criteria of various decision makers to be taken into account during the implementation of energy efficiency interventions at the neighborhood level. The tool is based on integrating information from aerial and terrestrial imagery, digital maps and national databases and statistics providing housing data on a GIS platform. The testing of the tool with the involvement of local authorities and social housing providers demonstrated that the tool can support policy makers in making informed decisions with regard to the implementation of energy policies and initiatives and contribute to meeting CO2 emission reduction targets.