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Evaluating the Techno-Economic Viability of a Solar PV-Wind Turbine Hybrid System with Battery Storage for an Electric Vehicle Charging Station in Khobar, Saudi Arabia

  • Ahmed S. Abdelrazek*
  • , Mohamed Soliman
  • , Muhammad Khalid
  • *Corresponding author for this work

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

Abstract

The main aim of this investigation is to replicate and enhance a sustainable hybrid energy structure that combines solar photovoltaic, wind turbines, battery storage. The study employs the Homer simulation model to evaluate the scaling, cost, and control strategy of this hybrid power system. This work primarily focuses on determining the most efficient design for a renewable energy generation system architecture for a significant electric vehicle charging station. The hybrid power system is designed to meet an AC base load of 2424.25 kWh/day with peak consumption of 444 kW. The simulation results indicate that the optimized components and the cost of energy are at an optimal level and the optimal design in terms of renewable energy penetration.

Original languageEnglish
Title of host publication2024 Saudi Arabia Smart Grid, SASG 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331576301
DOIs
StatePublished - 2024
Event2024 Saudi Arabia Smart Grid, SASG 2024 - Riyadh, Saudi Arabia
Duration: 16 Dec 202418 Dec 2024

Publication series

Name2024 Saudi Arabia Smart Grid, SASG 2024

Conference

Conference2024 Saudi Arabia Smart Grid, SASG 2024
Country/TerritorySaudi Arabia
CityRiyadh
Period16/12/2418/12/24

Bibliographical note

Publisher Copyright:
© 2024 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

Keywords

  • Battery Storage
  • HOMER
  • Hybrid Energy
  • Optimization
  • Simulation
  • Solar PV
  • Wind

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Control and Optimization

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