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ENER-BI: Integrating Energy and Spatial Data for Cities’ Decarbonisation Planning

Koldo Urrutia-Azcona, Elena Usobiaga, Pablo de Agustín-Camacho, Patricia Molina-Costa, Mauri Benedito-Bordonau, Iván Flores

2021Sustainability13 citationsDOIOpen Access PDF

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.

Topics & Concepts

Process (computing)Urban planningDimension (graph theory)Spatial planningEnvironmental planningEnergy planningKey (lock)Environmental resource managementComputer scienceBusinessRenewable energyEnvironmental economicsProcess managementEngineeringCivil engineeringGeographyEnvironmental scienceComputer securityMathematicsOperating systemEconomicsElectrical engineeringPure mathematicsIntegrated Energy Systems OptimizationBuilding Energy and Comfort OptimizationSmart Grid Energy Management
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