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

Koldo Urrutia-Azcona; Elena Usobiaga-Ferrer; Pablo De Agustín-Camacho; Patricia Molina-Costa; Mauricia Benedito-Bordonau; Iván Flores-Abascal

doi:10.3390/su13010383

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

Koldo Urrutia-Azcona^*, Elena Usobiaga-Ferrer, Pablo De Agustín-Camacho, Patricia Molina-Costa, Mauricia Benedito-Bordonau, Iván Flores-Abascal

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-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 language	English
Article number	383
Pages (from-to)	1-15
Number of pages	15
Journal	Sustainability
Volume	13
Issue number	1
DOIs	https://doi.org/10.3390/su13010383 https://doi.org/10.3390/su13010383
Publication status	Published - 4 Jan 2021

Funding

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.

Funders	Funder number
Horizon 2020 Framework Programme	691883
European Commission
Eusko Jaurlaritza

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.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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Sustainability-13-00383Final published version, 1.84 MB

Cite this

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, 13(1), 1-15. Article 383. https://doi.org/10.3390/su13010383, https://doi.org/10.3390/su13010383

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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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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

ENER-BI: Integrating Energy and Spatial Data for Cities’ Decarbonisation Planning: Integrating energy and spatial data for cities’ decarbonisation planning. / Urrutia-Azcona, Koldo; Usobiaga-Ferrer, Elena ; De Agustín-Camacho, Pablo et al.
In: Sustainability, Vol. 13, No. 1, 383, 04.01.2021, p. 1-15.

Research output: Contribution to journal › Article › peer-review

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T1 - ENER-BI: Integrating Energy and Spatial Data for Cities’ Decarbonisation Planning

T2 - Integrating energy and spatial data for cities’ decarbonisation planning

AU - Urrutia-Azcona, Koldo

AU - Usobiaga-Ferrer, Elena

AU - De Agustín-Camacho, Pablo

AU - Molina-Costa, Patricia

AU - Benedito-Bordonau, Mauricia

AU - Flores-Abascal, Iván

PY - 2021/1/4

Y1 - 2021/1/4

N2 - 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.

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.

KW - Cities

KW - Decarbonisation

KW - Decision support system

KW - Digital innovation

KW - Energy transition

KW - Smart cities

KW - Smart zero carbon city

KW - Strategic planning

KW - Urban transformation

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U2 - 10.3390/su13010383

DO - 10.3390/su13010383

M3 - Article

AN - SCOPUS:85099132186

SN - 2071-1050

VL - 13

SP - 1

EP - 15

JO - Sustainability

JF - Sustainability

IS - 1

M1 - 383

ER -

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

Abstract

Funding

Keywords

Project and Funding Information

UN SDGs

Access to Document

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