TY - GEN
T1 - Web-based tool for prioritization of areas for energy efficiency interventions in historic districts
AU - Egusquiza, Aitziber
AU - Prieto, Iñaki
AU - Izkara, Jose Luis
N1 - Publisher Copyright:
© 2016, University of Cantabria - Building Technology R&D Group. All rights reserved.
PY - 2016
Y1 - 2016
N2 - Decision making processes are about managing and exploiting the right information in the proper way. The decision making regarding improvements of the energy performance of historic urban districts (HUD) has to take into account information that is spatial, multiscalar and crossthematic. 3D Urban models can be used to support the decision making if the complex urban reality is abstracted into a manageable, accurate, coherent, comprehensible, predictive, and low cost model. However, the generation and management of this kind of urban models are time demanding and resource intensive. Moreover, if the proposed modelling strategy has to integrate energy planning and cultural conservation approaches, it is necessary to use a progressive and flexible information management strategy regarding the modelling that allows starting with a very low level of detail. One of these strategies is to identify the most vulnerable areas, and based on that, the priority areas within the district; allowing to focus the decision making in these areas. The REACT Project (“Resilience, Accessibility and Sustainability for Historic Cities”, partially funded within the INNPACTO programme) has developed a web based application backed by a multiscale model to support the identification of priority areas in a HUD for energy efficiency interventions. The application is based on a methodology that provides a vulnerability map using basic data, which has been obtained in an automatic or semi-automatic way. Those data regarding the vulnerability are weighted with the information regarding the density of those buildings obtaining an opportunity map or a priority map. This map highlights the priority areas, that is, the most vulnerable building blocks with the highest impact due to their density. In this way, and based on a low level of information, blocks or groups of buildings can be prioritized for energy interventions according to their conservation state, their energy performance and the concerns of the citizens.
AB - Decision making processes are about managing and exploiting the right information in the proper way. The decision making regarding improvements of the energy performance of historic urban districts (HUD) has to take into account information that is spatial, multiscalar and crossthematic. 3D Urban models can be used to support the decision making if the complex urban reality is abstracted into a manageable, accurate, coherent, comprehensible, predictive, and low cost model. However, the generation and management of this kind of urban models are time demanding and resource intensive. Moreover, if the proposed modelling strategy has to integrate energy planning and cultural conservation approaches, it is necessary to use a progressive and flexible information management strategy regarding the modelling that allows starting with a very low level of detail. One of these strategies is to identify the most vulnerable areas, and based on that, the priority areas within the district; allowing to focus the decision making in these areas. The REACT Project (“Resilience, Accessibility and Sustainability for Historic Cities”, partially funded within the INNPACTO programme) has developed a web based application backed by a multiscale model to support the identification of priority areas in a HUD for energy efficiency interventions. The application is based on a methodology that provides a vulnerability map using basic data, which has been obtained in an automatic or semi-automatic way. Those data regarding the vulnerability are weighted with the information regarding the density of those buildings obtaining an opportunity map or a priority map. This map highlights the priority areas, that is, the most vulnerable building blocks with the highest impact due to their density. In this way, and based on a low level of information, blocks or groups of buildings can be prioritized for energy interventions according to their conservation state, their energy performance and the concerns of the citizens.
KW - CityGML
KW - Historic districts
KW - Prioritization of areas
KW - Urban modelling
KW - Vulnerability map
UR - http://www.scopus.com/inward/record.url?scp=85054183232&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85054183232
SN - 9788460879411
T3 - REHABEND
SP - 1755
EP - 1762
BT - REHABEND 2016 - 6th REHABEND Congress on Construction Pathology, Rehabilitation Technology and Heritage Management
A2 - Villegas, Luis
A2 - Lombillo, Ignacio
A2 - Blanco, Haydee
A2 - Boffill, Yosbel
PB - University of Cantabria - Building Technology R&D Group
T2 - 6th Euro-American Congress on Construction Pathology, Rehabilitation Technology and Heritage Management, REHABEND 2016
Y2 - 24 May 2016 through 27 May 2016
ER -
