Multi-scale urban data models for early-stage suitability assessment of energy conservation measures in historic urban areas

Simple item page
dc.contributor.authorEgusquiza, Aitziber
dc.contributor.authorPrieto, Iñaki
dc.contributor.authorIzkara, Jose Luis
dc.contributor.authorBéjar, Rubén
dc.contributor.institutionLABORATORIO DE TRANSFORMACIÓN URBANA
dc.contributor.institutionTecnalia Research & Innovation
dc.date.issued2018-04-01
dc.descriptionPublisher Copyright: © 2018
dc.description.abstractThe demand for improving the energy performance of buildings located in the historic districts of cities is as high as the current demand in other city districts. The need to reduce energy consumption and improve the comfort of inhabitants is compounded by the need to preserve an environment of heritage value. The selection of rehabilitation strategies at urban scale offers significant benefits, but makes the process long and costly. Therefore, methods or tools are necessary to establish a rapid assessment that facilitates strategic decision making and a deeper analysis of a reduced number of alternatives.This paper describes a method that supports decision making regarding the suitability of Energy Conservation Measures (ECMs) in historic districts at early stages. The method considers the improvement of the energy performance of buildings as a positive impact, balanced with the negative impacts that the implementation of ECMs could produce. A CityGML-based urban model allows the automation of a multi-scale assessment for different ECMs and provides possible global energy demand reductions. This method, combined with an economic evaluation, can be used by decision makers for large-scale energy retrofitting. The applicability of the method is demonstrated through implementation in the historic city of Santiago de Compostela.en
dc.description.statusPeer reviewed
dc.format.extent12
dc.format.extent960747
dc.identifier.citationEgusquiza , A , Prieto , I , Izkara , J L & Béjar , R 2018 , ' Multi-scale urban data models for early-stage suitability assessment of energy conservation measures in historic urban areas ' , Energy and Buildings , vol. 164 , pp. 87-98 . https://doi.org/10.1016/j.enbuild.2017.12.061
dc.identifier.doi10.1016/j.enbuild.2017.12.061
dc.identifier.issn0378-7788
dc.identifier.otherresearchoutputwizard: 11556/484
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85041439597&partnerID=8YFLogxK
dc.language.isoeng
dc.relation.ispartofEnergy and Buildings
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subject.keywordsUrban conservation
dc.subject.keywordsHeritage impact assessment
dc.subject.keywordsCityGML
dc.subject.keywordsEnergy conservation
dc.subject.keywordsMultiscalarity
dc.subject.keywordsUrban conservation
dc.subject.keywordsHeritage impact assessment
dc.subject.keywordsCityGML
dc.subject.keywordsEnergy conservation
dc.subject.keywordsMultiscalarity
dc.subject.keywordsCivil and Structural Engineering
dc.subject.keywordsBuilding and Construction
dc.subject.keywordsMechanical Engineering
dc.subject.keywordsElectrical and Electronic Engineering
dc.subject.keywordsSDG 11 - Sustainable Cities and Communities
dc.subject.keywordsSDG 12 - Responsible Consumption and Production
dc.subject.keywordsProject ID
dc.subject.keywordsinfo:eu-repo/grantAgreement/EC/FP7/314678/EU/ENERGY EFFICIENCY FOR EU HISTORIC DISTRICTS SUSTAINABILITY/EFFESUS
dc.subject.keywordsinfo:eu-repo/grantAgreement/EC/FP7/314678/EU/ENERGY EFFICIENCY FOR EU HISTORIC DISTRICTS SUSTAINABILITY/EFFESUS
dc.subject.keywordsFunding Info
dc.subject.keywordsThe authors gratefully acknowledge the European Commission for providing financial support during the_x000D_ research under the EFFESUS project (Grant Agreement Number 314678).
dc.subject.keywordsThe authors gratefully acknowledge the European Commission for providing financial support during the_x000D_ research under the EFFESUS project (Grant Agreement Number 314678).
dc.titleMulti-scale urban data models for early-stage suitability assessment of energy conservation measures in historic urban areasen
dc.typejournal article
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
AVA.pdf
Size:
938.23 KB
Format:
Adobe Portable Document Format
Download