Total Electricity Load Evaluation for the Kingdom of Saudi Arabia with the Inclusion of Electric Vehicles

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

Abstract

The adoption of electric vehicles (EVs) is considered to significantly reduce emissions in the transportation sector. However, with the increased number of EVs for the sustainable future of transportation in Kingdom of Saudi Arabia (KSA), it is necessary to evaluate the impact of EVs on electricity usage. This study has analyzed the total load requirements in the KSA with the addition of EVs by 2030 considering population and GDP growth for estimating the number of EVs by 2030. The total electricity load requirement in the presence of EV will be 88 GW considering 5% annual growth. The impact of increased EV usage on electricity demand in KSA by 2030, considering projected population and GDP growth. Using multiple regression, we estimate the number of EVs by 2030 and analyze the corresponding total load requirements. Data sources include national statistics on population and GDP projections. This analysis provides insights into the sustainable integration of EVs and predicts that total number of EVs in 2030 will be 4,498,275 and their corresponding charging load will be 4.17 GW. Therefore, the findings of the study suggest significant addition in power generation capacity to accommodate ambitious target of EV adoption in KSA.

Original languageEnglish
Title of host publicationICETAS 2024 - 9th IEEE International Conference on Engineering Technologies and Applied Sciences
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350363142
DOIs
StatePublished - 2024
Event9th IEEE International Conference on Engineering Technologies and Applied Sciences, ICETAS 2024 - Bahrain, Bahrain
Duration: 20 Nov 202422 Nov 2024

Publication series

NameICETAS 2024 - 9th IEEE International Conference on Engineering Technologies and Applied Sciences

Conference

Conference9th IEEE International Conference on Engineering Technologies and Applied Sciences, ICETAS 2024
Country/TerritoryBahrain
CityBahrain
Period20/11/2422/11/24

Bibliographical note

Publisher Copyright:
© 2024 IEEE.

Keywords

  • Electric Vehicles
  • Load Forecasting
  • Regression
  • Renewable Energy

ASJC Scopus subject areas

  • Agronomy and Crop Science
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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