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Economic Viability of Electric Vehicles in the Kingdom of Saudi Arabia: Insights from a Monte Carlo-Based TCO Model

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The rapid adoption of electric vehicles (EVs) is expected to substantially reduce emissions in the transportation sector of the Kingdom of Saudi Arabia (KSA). However, a large-scale transition toward EVs also introduces challenges related to vehicle ownership costs. This study develops a Monte Carlo-based techno-economic model to evaluate the total cost of ownership (TCO) for representative EVs and internal combustion engine vehicles (ICEVs) under KSA conditions. The model incorporates vehicle cost, insurance, maintenance, registration, fuel and electricity price, and Vehicle Kilometres Travelled (VKT) - based depreciation. Results show that under the Baseline scenario, EVs are marginally cheaper at low mileage (10,000 km) but lose this advantage as ICEVs become progressively more cost-efficient at higher distances. In the City scenario, EVs also record an early cost advantage up to 20,000 km, after which ICEVs surpass them. Under the Highway scenario, EVs are consistently more expensive across all mileage levels, with the disadvantage widening significantly at higher VKT. These findings highlight that EVs can be cost-competitive in baseline and city scenarios at low mileage, but ICEVs remain more economical for longer-distance use, especially under highway conditions in hot climates. The results provide evidence-based insights into the economic viability of EV adoption in KSA and the potential requirements for supporting policy interventions such as residual value guarantees, electricity price stability, and investment in charging infrastructure to ensure competitiveness with ICEVs across diverse driving conditions.

Original languageEnglish
Title of host publication2025 IEEE PES 17th Asia-Pacific Power and Energy Engineering Conference, APPEEC 2025 - Conference Proceedings
PublisherIEEE Computer Society
ISBN (Electronic)9798331577612
DOIs
StatePublished - 2025
Event17th IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2025 - Auckland, New Zealand
Duration: 2 Dec 20255 Dec 2025

Publication series

NameAsia-Pacific Power and Energy Engineering Conference, APPEEC
ISSN (Print)2157-4839
ISSN (Electronic)2157-4847

Conference

Conference17th IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2025
Country/TerritoryNew Zealand
CityAuckland
Period2/12/255/12/25

Bibliographical note

Publisher Copyright:
© 2025 IEEE.

UN SDGs

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

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • Efficiency
  • Electric Vehicles
  • Monte Carlo Simulation
  • Techno-Economic Analysis
  • Total Cost of Ownership

ASJC Scopus subject areas

  • Energy Engineering and Power Technology

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