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Electric vehicle grid demand: Potential analysis model and regional architectural planning approach for charging using PVsyst tool

  • Mahipal Bukya*
  • , Swati Sharma
  • , Rajesh Kumar
  • , Akhilesh Mathur
  • , N. Gowtham
  • , Pancham Kumar
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Electric transportation is a societal necessity to mitigate the adverse effects of local emissions and global climate change. To reach net zero emissions by 2050, countries have examined many strategies to electrify road transport and deploy electric vehicles (EVs). Due to falling lithium-ion (Li-ion) battery pack costs, global electric vehicle sales have grown consistently over the past decade and reached 10 million units in 2022. The safe and steady operation of the regional power grid may be compromised by the connection of a sizable random charging load. Therefore, it is crucial to conduct a pre-emptive analysis of the charging load and its potential impact, ensuring that electric vehicles can seamlessly integrate with the grid upon connection. This study employs PVsyst simulation software to assess the feasibility of a 12800 MWp (9000 MWp plus 3800 MWp) PV grid-tied system in India's Delhi-NCR region. The system's affordability and spatial compatibility are considered. The average electrical loads for the Delhi-NCR region have been estimated. The system achieves a 0.846 performance ratio, generating 1648 KWh/KWp/year. About 52.7% of the load has been utilized by the electric vehicle, while the surplus is fed into the power grid. This study emphasizes PV systems effectiveness in alleviating grid peak loads, their cost-effectiveness, low maintenance, and adaptability to peak-time loads.

Original languageEnglish
Pages (from-to)209-232
Number of pages24
JournalVisions for Sustainability
Volume2024
Issue number21
DOIs
Publication statusPublished - 21-06-2024

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 13 - Climate Action
    SDG 13 Climate Action

All Science Journal Classification (ASJC) codes

  • Renewable Energy, Sustainability and the Environment
  • Education
  • General Environmental Science

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