National-Scale Fast-Charging Infrastructure Planning Integrating Geospatial Analysis, MCDM, and Power System Constraints
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| Autorzy: | , , , , |
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| Format: | artículo original |
| Data wydania: | 2026 |
| Opis: | Electromobility is increasingly recognized as a cornerstone of sustainable transport, yet itsadoption remains uneven across regions. This study develops an integrated frameworkthat combines geospatial analysis, multi-criteria decision-making (MCDM), and powersystem evaluation to identify and prioritize fast-charging sites at the national scale. Appliedto Costa Rica’s national road network (NRN), encompassing both urban centers and peripheral regions, the framework integrates spatial suitability, socioeconomic priorities, andgrid readiness across projected electric vehicle (EV) penetration scenarios. Critically, powersystem simulations reveal voltage instability at distribution nodes (as low as 89.88% p.u.)under 3% EV penetration despite 99% renewable generation, demonstrating that gridcapacity, not planning methodology, constitutes the primary barrier to electric mobilityadoption. This finding, derived from the first national-scale analysis that integrates equitydriven spatial prioritization with comprehensive grid validation using real fleet projections,challenges conventional assumptions in transport-focused infrastructure planning. Theframework provides a transferable tool for countries seeking to align EV infrastructureplanning with sustainability and decarbonization objectives, while highlighting that gridreinforcement must precede, not follow, the deployment of fast-charging infrastructure. |
| Kraj: | Kérwá |
| Instytucja: | Universidad de Costa Rica |
| Repositorio: | Kérwá |
| Język: | Inglés |
| OAI Identifier: | oai:kerwa.ucr.ac.cr:10669/104925 |
| Dostęp online: | https://www.mdpi.com/1996-1073/19/4/1041 https://hdl.handle.net/10669/104925 https://doi.org/10.3390/en19041041 |
| Słowo kluczowe: | electric vehicles (EVs) fast-charging stations GIS-based spatial distribution hosting capacity distributed generation technique for order preference by similarity to ideal solution (TOPSIS) Pareto principle multi-criteria decision-making (MCDM) annual average daily traffic national road network |