Izvorni znanstveni članak
https://doi.org/10.13044/j.sdewes.d14.0723
Assessing Sustainable Electromobility Futures in a Multi-Model Platform with Grid and Urban Planning: A Case Study in Chile
Marcelo Matus Acuña
; Black Bear Engineering, Santiago, Chile
Gonzalo Bustos-Turu
; Centro Nacional de Inteligencia Artificial, Santiago, Chile
Tomás Cox Oettinger
; Universidad de Chile, Santiago, Chile
Mónica Zamora Zapata
orcid.org/0000-0001-8731-1853
; Universidad de Chile, Santiago, Chile
Williams Calderón-Muñoz
; Universidad de Chile, Santiago, Chile
María del Pilar Buitrago-Villada
; Universidad Nacional de Colombia, Manizales, Colombia
Carlos García Bujanda
; Universidad de Chile, Santiago, Chile
Lorenzo Reyes-Chamorro
; Universidad Austral de Chile, Valdivia, Chile
Luis Vera Ortega
; Universidad Austral de Chile, Valdivia, Chile
Fernando Peña-Cortés
; Universidad Católica de Temuco, Temuco, Chile
Eduardo Fernández Soto
; Universidad Católica de Temuco, Temuco, Chile
Sažetak
There is a growing shift towards zero-emission transport technologies to mitigate climate change. While electric vehicles are gaining traction, transitioning to electromobility will impact both transportation and energy sectors. Evaluating potential future electromobility scenarios can enable decision-makers to anticipate infrastructure needs, energy demand patterns, and environmental benefits. This paper presents a highly interdisciplinary simulation and assessment framework for evaluating electromobility adoption scenarios in urban centres, integrating five modules: (i) technology adoption, (ii) urban planning, (iii) transport systems, (iv) power distribution, and (v) energy system expansion. While considering grid and urban planning, it assesses the sustainability, performance, and infrastructure requirements of transport electrification through indicators that were determined in a participatory process with public and private collaborators. A case study using data from Temuco and Padre Las Casas in Chile demonstrates the methodology's applicability.
Ključne riječi
Sustainable transportation; Urban model; Electromobility; Multi-agent simulation; Power system model; Policy and decision-making.
Hrčak ID:
351032
URI
Datum izdavanja:
20.9.2026.
Posjeta: 0 *