RT Journal Article
T1 ENER-BI: Integrating Energy and Spatial Data for Cities’ Decarbonisation Planning: 												Integrating energy and spatial data for cities’ decarbonisation planning
A1 Urrutia-Azcona, Koldo
A1 Usobiaga-Ferrer, Elena
A1 De Agustín-Camacho, Pablo
A1 Molina-Costa, Patricia
A1 Benedito-Bordonau, Mauricia
A1 Flores-Abascal, Iván
AB Given the current climate emergency, our planet is suffering. Mitigation measures must be urgently deployed in urban environments, which are responsible for more than 70% of global CO2 emissions. In this sense, a deeper integration between energy and urban planning disciplines is a key factor for effective decarbonisation in urban environments. This is addressed in the Cities4ZERO decarbonisation methodology. This method specifically points out the need for technology-based solutions able to support that integration among both disciplines at a local level, enriching decision-making in urban decarbonisation policy-making, diagnosis, planning, and follow-up tasks, incorporating the spatial dimension to the whole process (GIS-based), as well as the possibilities of the digital era. Accordingly, this paper explores the demands of both integrated urban energy planning and European/Basque energy directives, to set the main requisites and functionalities that Decision Support Systems (DSSs) must fulfil to effectively support city managers and the urban decarbonisation process.
SN 2071-1050
YR 2021
FD 2021-01-04
LA eng
NO Urrutia-Azcona , K , Usobiaga-Ferrer , E , De Agustín-Camacho , P , Molina-Costa , P , Benedito-Bordonau , M & Flores-Abascal , I 2021 , ' ENER-BI: Integrating Energy and Spatial Data for Cities’ Decarbonisation Planning : Integrating energy and spatial data for cities’ decarbonisation planning ' , Sustainability , vol. 13 , no. 1 , 383 , pp. 1-15 . https://doi.org/10.3390/su13010383 , https://doi.org/10.3390/su13010383
NO Publisher Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
NO Funding: This research was funded by European Commission, grant number 691883. Acknowledgments: Deep thanks to the European Commission for funding SmartEnCity project, the frame of this research, and to the Basque Government for its significant support to the Basque research and innovation paradigm.
DS TECNALIA Publications
RD 29 sept 2024