ENER-BI: Integrating Energy and Spatial Data for Cities’ Decarbonisation Planning: Integrating energy and spatial data for cities’ decarbonisation planning
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2021-01-04
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Abstract
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.
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Publisher Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
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Cities , Decarbonisation , Decision support system , Digital innovation , Energy transition , Smart cities , Smart zero carbon city , Strategic planning , Urban transformation , Geography, Planning and Development , Renewable Energy, Sustainability and the Environment , Environmental Science (miscellaneous) , Energy Engineering and Power Technology , Management, Monitoring, Policy and Law , SDG 11 - Sustainable Cities and Communities , SDG 13 - Climate Action , Project ID , info:eu-repo/grantAgreement/EC/H2020/691883/EU/Towards Smart Zero CO2 Cities across Europe/SmartEnCity , info:eu-repo/grantAgreement/EC/H2020/691883/EU/Towards Smart Zero CO2 Cities across Europe/SmartEnCity , Funding Info , This research was funded by European Commission, grant number 691883. , This research was funded by European Commission, grant number 691883.
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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