Assessing Sustainable Electromobility Futures in a Multi-Model Platform with Grid and Urban Planning: A Case Study in Chile

Original scientific paper

Journal of Sustainable Development of Energy, Water and Environment Systems
ARTICLE IN PRESS (scheduled for Vol 14, Issue 03 (general)), 1140723
DOI: https://doi.org/10.13044/j.sdewes.d14.0723 (registered soon)
Marcelo Matus Acuña1, Gonzalo Bustos-Turu2, Tomás Cox Oettinger3, Mónica Zamora Zapata3 , Williams Calderón-Muñoz3, María del Pilar Buitrago-Villada4, Carlos García Bujanda3, Lorenzo Reyes-Chamorro5, Luis Vera Ortega5, Fernando Peña-Cortés6, Eduardo Fernández Soto6
1 Black Bear Engineering, Santiago, Chile
2 Centro Nacional de Inteligencia Artificial, Santiago, Chile
3 Universidad de Chile, Santiago, Chile
4 Universidad Nacional de Colombia, Manizales, Colombia
5 Universidad Austral de Chile, Valdivia, Chile
6 Universidad Católica de Temuco, Temuco, Chile

Abstract

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. 

Keywords: Sustainable transportation, Urban model, Electromobility, Multi-agent simulation, Power system model, Policy and decision-making.

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