000086988 001__ 86988
000086988 005__ 20200113155642.0
000086988 0247_ $$2doi$$a10.1016/j.enbuild.2017.12.061
000086988 0248_ $$2sideral$$a104546
000086988 037__ $$aART-2018-104546
000086988 041__ $$aeng
000086988 100__ $$aEgusquiza, A.
000086988 245__ $$aMulti-scale urban data models for early-stage suitability assessment of energy conservation measures in historic urban areas
000086988 260__ $$c2018
000086988 5060_ $$aAccess copy available to the general public$$fUnrestricted
000086988 5203_ $$aThe 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.
000086988 536__ $$9info:eu-repo/grantAgreement/EC/FP7/314678/EU/ENERGY EFFICIENCY FOR EU HISTORIC DISTRICTS SUSTAINABILITY/EFFESUS
000086988 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000086988 590__ $$a4.495$$b2018
000086988 591__ $$aCONSTRUCTION & BUILDING TECHNOLOGY$$b7 / 63 = 0.111$$c2018$$dQ1$$eT1
000086988 591__ $$aENGINEERING, CIVIL$$b5 / 132 = 0.038$$c2018$$dQ1$$eT1
000086988 591__ $$aENERGY & FUELS$$b28 / 103 = 0.272$$c2018$$dQ2$$eT1
000086988 592__ $$a1.934$$b2018
000086988 593__ $$aBuilding and Construction$$c2018$$dQ1
000086988 593__ $$aMechanical Engineering$$c2018$$dQ1
000086988 593__ $$aElectrical and Electronic Engineering$$c2018$$dQ1
000086988 593__ $$aCivil and Structural Engineering$$c2018$$dQ1
000086988 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000086988 700__ $$aPrieto, I.
000086988 700__ $$aIzkara, J.L.
000086988 700__ $$0(orcid)0000-0001-7866-3793$$aBéjar, R.$$uUniversidad de Zaragoza
000086988 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf.
000086988 773__ $$g164 (2018), 87-98$$pEnergy build.$$tENERGY AND BUILDINGS$$x0378-7788
000086988 8564_ $$s836880$$uhttps://zaguan.unizar.es/record/86988/files/texto_completo.pdf$$yPostprint
000086988 8564_ $$s30403$$uhttps://zaguan.unizar.es/record/86988/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000086988 909CO $$ooai:zaguan.unizar.es:86988$$particulos$$pdriver
000086988 951__ $$a2020-01-13-15:02:18
000086988 980__ $$aARTICLE