TY - JOUR
T1 - InSmart – A methodology for combining modelling with stakeholder input towards EU cities decarbonisation
AU - Simoes, S. G.
AU - Dias, L.
AU - Gouveia, J. P.
AU - Seixas, J.
AU - De Miglio, R.
AU - Chiodi, A.
AU - Gargiulo, Maurizio
AU - Long, Gavin
AU - Giannakidis, G.
N1 - The work supporting this paper was funded by the EU project INSMART , Integrated Smart City Planning, that received funding from the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement no. 314164 . For brevity, the authors list of this manuscript contains only the people involved directly in the development of this manuscript. However, the authors acknowledge the Nottingham City Council, Municipalities of Évora and Cesena, the Municipal Water Supply-Sewage Enterprise of Trikala (DEYAT); the technical partners Systra Consultancy, E4SMA S.r.l., University of Nottingham and CRES; and in specific all the people directly and indirectly involved in the project, as they all contributed to the development of this work. CENSE is financed by Fundação para a Ciência e Tecnologia, I.P., Portugal ( UID/AMB/04085/2019 ).
PY - 2019/9/10
Y1 - 2019/9/10
N2 - In a world where an increasing share of the population lives in cities, its energy transition is gaining more relevance. The decision-making process in urban planning is frequently fragmented across departments considering different criteria. Integrated city planning approaches are not commonly employed, especially for the promotion of sustainable energy. This paper presents an innovative approach to promote holistic decision-support combining complex integrated city energy system models (ESM) with effective stakeholder input using a Multi-Criteria Decision Analysis (MCDA). A holistic optimization city-ESM, based on the TIMES model generator, was developed and implemented in four European cities (Évora in Portugal, Cesena in Italy, Nottingham in UK and Trikala in Greece). Each city defined a range of future scenarios for sustainable energy promotion up to 2030 which were modelled in the city-ESM. The scenarios considered both individual measures, such as expansion of bicycle lanes, and combinations of measures. Going one step further from typical approaches in urban energy modelling, the modelling work was carried out in close cooperation with city stakeholders whom participated not only in the definition of the modelled scenarios, but also on the critical review of the modelling results. This review was conducted through a MCDA exercise which considered both quantitative and qualitative criteria in the selection of candidate scenarios to be implemented. It was found that there are substantial differences in most desirable scenarios if the MCDA is performed as well or if only the city-ESM model results are considered. The critical review of quantitative modelling results and their ranking via the MCDA led to improved communication of model results to non-modellers, which in turn made possible a better scrutiny and improvement of the modelling. It is concluded that at an urban level is important to combine qualitative analysis with quantitative modelling to identify the optimum mix of measures for a sustainable urban energy future.
AB - In a world where an increasing share of the population lives in cities, its energy transition is gaining more relevance. The decision-making process in urban planning is frequently fragmented across departments considering different criteria. Integrated city planning approaches are not commonly employed, especially for the promotion of sustainable energy. This paper presents an innovative approach to promote holistic decision-support combining complex integrated city energy system models (ESM) with effective stakeholder input using a Multi-Criteria Decision Analysis (MCDA). A holistic optimization city-ESM, based on the TIMES model generator, was developed and implemented in four European cities (Évora in Portugal, Cesena in Italy, Nottingham in UK and Trikala in Greece). Each city defined a range of future scenarios for sustainable energy promotion up to 2030 which were modelled in the city-ESM. The scenarios considered both individual measures, such as expansion of bicycle lanes, and combinations of measures. Going one step further from typical approaches in urban energy modelling, the modelling work was carried out in close cooperation with city stakeholders whom participated not only in the definition of the modelled scenarios, but also on the critical review of the modelling results. This review was conducted through a MCDA exercise which considered both quantitative and qualitative criteria in the selection of candidate scenarios to be implemented. It was found that there are substantial differences in most desirable scenarios if the MCDA is performed as well or if only the city-ESM model results are considered. The critical review of quantitative modelling results and their ranking via the MCDA led to improved communication of model results to non-modellers, which in turn made possible a better scrutiny and improvement of the modelling. It is concluded that at an urban level is important to combine qualitative analysis with quantitative modelling to identify the optimum mix of measures for a sustainable urban energy future.
KW - MCDA
KW - Participatory scenarios
KW - Sustainable urban energy planning
KW - TIMES energy system model
UR - http://www.scopus.com/inward/record.url?scp=85066240845&partnerID=8YFLogxK
U2 - 10.1016/j.jclepro.2019.05.143
DO - 10.1016/j.jclepro.2019.05.143
M3 - Article
AN - SCOPUS:85066240845
SN - 0959-6526
VL - 231
SP - 428
EP - 445
JO - Journal of Cleaner Production
JF - Journal of Cleaner Production
ER -
