Assessing Energy Improvement Potential from Efficiency and Renewable Interventions at Neighborhood Level

Hdl Handle:
http://hdl.handle.net/10149/596114
Title:
Assessing Energy Improvement Potential from Efficiency and Renewable Interventions at Neighborhood Level
Authors:
Mhalas, A. (Amit); Crosbie, T. (Tracey); Dawood, N. (Nashwan) ( 0000-0002-4873-7576 ) ; Kassem, M. (Mohamad)
Affiliation:
Teesside University. Technology Futures Institute
Publisher:
American Society of Civil Engineers
Conference:
2014 International Conference on Computing in Civil and Building Engineering Orlando, Florida, United States June 23-25, 2014
Issue Date:
17-Jun-2014
URI:
http://hdl.handle.net/10149/596114
DOI:
10.1061/9780784413616.199
Additional Links:
http://ascelibrary.org/doi/abs/10.1061/9780784413616.199
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. Read More: http://ascelibrary.org/doi/abs/10.1061/9780784413616.199
Type:
Meetings and Proceedings
Language:
en
Keywords:
automation; computation
ISBN:
9780784413616
Rights:
Authors may post the final drafts of their work on open, unrestricted internet sites or deposit it in an institutional repository when the draft contains a URL/link to the bibliographic record of the published version in the ASCE Library. For details see http://ascelibrary.org/doi/pdf/10.1061/9780784478998.ch08 [Accessed: 012/02/2016]

Full metadata record

DC FieldValue Language
dc.contributor.authorMhalas, A. (Amit)en
dc.contributor.authorCrosbie, T. (Tracey)en
dc.contributor.authorDawood, N. (Nashwan)en
dc.contributor.authorKassem, M. (Mohamad)en
dc.date.accessioned2016-02-12T11:51:41Zen
dc.date.available2016-02-12T11:51:41Zen
dc.date.issued2014-06-17en
dc.identifier.isbn9780784413616en
dc.identifier.doi10.1061/9780784413616.199en
dc.identifier.urihttp://hdl.handle.net/10149/596114en
dc.description.abstractTools 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. Read More: http://ascelibrary.org/doi/abs/10.1061/9780784413616.199en
dc.language.isoenen
dc.publisherAmerican Society of Civil Engineersen
dc.relation.urlhttp://ascelibrary.org/doi/abs/10.1061/9780784413616.199en
dc.rightsAuthors may post the final drafts of their work on open, unrestricted internet sites or deposit it in an institutional repository when the draft contains a URL/link to the bibliographic record of the published version in the ASCE Library. For details see http://ascelibrary.org/doi/pdf/10.1061/9780784478998.ch08 [Accessed: 012/02/2016]en
dc.subjectautomationen
dc.subjectcomputationen
dc.titleAssessing Energy Improvement Potential from Efficiency and Renewable Interventions at Neighborhood Levelen
dc.typeMeetings and Proceedingsen
dc.contributor.departmentTeesside University. Technology Futures Instituteen
dc.identifier.conference2014 International Conference on Computing in Civil and Building Engineering Orlando, Florida, United States June 23-25, 2014en
dc.eprint.versionPost-printen
or.authorMhalas, A., Crosbie, T., Dawood, N., Kassem, M. (2014) 'Assessing Energy Improvement Potential from Efficiency and Renewable Interventions at Neighborhood Level' 2014 International Conference on Computing in Civil and Building Engineering Orlando, Florida, United States June 23-25, 2014en
dc.date.accepted2014-02-01en
All Items in TeesRep are protected by copyright, with all rights reserved, unless otherwise indicated.