ENER-BI: Integrating Energy and Spatial Data for Cities’ Decarbonisation Planning: Integrating energy and spatial data for cities’ decarbonisation planning

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

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.
Original languageEnglish
Article number383
Pages (from-to)1-15
Number of pages15
JournalSustainability
Volume13
Issue number1
DOIs
Publication statusPublished - 4 Jan 2021

Keywords

  • Cities
  • Decarbonisation
  • Decision support system
  • Digital innovation
  • Energy transition
  • Smart cities
  • Smart zero carbon city
  • Strategic planning
  • Urban transformation

Project and Funding Information

  • Project ID
  • 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.

Fingerprint

Dive into the research topics of 'ENER-BI: Integrating Energy and Spatial Data for Cities’ Decarbonisation Planning: Integrating energy and spatial data for cities’ decarbonisation planning'. Together they form a unique fingerprint.

Cite this