The Renewable Energy Offset is the EV charging station that combines renewable energy sources and is integrated with the local power grid. Refeeding excess electricity produced by renewable sources back into the grid can balance the energy used for charging. In addition to being clean and renewable, solar and wind energy will run out slowly than fossil fuels. Additionally, because they are immune to price swings brought on by market shifts or geopolitical events, they are typically more reliable and less expensive over time. In addition, the modernization of vehicles makes it possible to run on clean energy. Although sources of power from renewable energies are believed to be irregular, using them would cut greenhouse gas emissions even more. Suppose an electric vehicle is plugged into an intelligent charger. In that case, the charger employs intelligence and connectivity to determine whether it needs to provide power for charging the car based on factors such as electricity cost, availability, and driver requirements. Operators may use EV smart charging to control, monitor, and modify energy usage. Electric vehicles can be more environmentally friendly if renewable energy sources are used. Installing renewable energy sources, like solar panels, at home can help down the cost of electricity even more for charging. An intelligent charging system is one in which information links are shared by electric vehicles, charging stations, and demanding operators. The charging stations can improve energy consumption by monitoring, controlling, and limiting the use of charging devices using smart charging. Switching to renewable energy sources, like solar and wind power, helps address air pollution, health issues, and climate change. These difficulties include a need for charging stations, a constrained grid, technological constraints, legal restrictions, and low public awareness. A battery is used by an electric car to store ready-to-use electrical energy. A battery pack is composed of several cells arranged into modules. The car is ready to go once the battery has enough energy. Modern battery technology has advanced significantly. Energy derived from naturally replenishing renewable resources in a human timeline is called renewable energy. The flow of water, wind, sunlight, and geothermal heat are examples of renewable resources. Only some renewable energy sources are sustainable, despite the majority being.
Electric vehicles have a very bright future ahead of them. EVs are expected to become the primary form of transportation as environmental concerns, technology improvements, infrastructure development, and regulatory backing come together. Long-distance driving is not possible in an electric vehicle. If speed is a concern, electric cars cannot go faster than those driven by engines. In addition, the driving range is highly constrained. Fuel-powered cars fetch a high price even though they are challenging to maintain. Energy from renewable natural resources is energy that is produced more quickly than it is used. Examples of such sources that are continuously replenished are sunlight and wind. There are several renewable energy sources available to humanity.
Potential topics include but are not limited to the following:
Guest Editor: 1
Dr. Imran Khan,
Department of Electrical Engineering
University of Engineering and Technology
Mardan, Pakistan.
Email: imran_khan@uetpeshawar.edu.pk , dr.imrankhan431@gmail.com
Google Scholar: https://scholar.google.com/citations?hl=en&user=xsCcb1cAAAAJ
ORCID: https://orcid.org/0000-0002-4696-5057
Biography
Imran Khan (Senior Member, IEEE) received the B.Sc. degree in electrical engineering from the NWFP University of Engineering and Technology, Peshawar, Pakistan, in 2003, the M.Sc. degree in telecommunication engineering from the Asian Institute of Technology, Thailand, in 2007, and the Ph.D. degree from the Telecommunications FOS, School of Engineering and Technology, Asian Institute of Technology, in 2010. Currently, he is working as a Professor with the Electrical Engineering Department, University of Engineering Technology, Mardan. His research interests include performance analysis of wireless communication systems, OFDM, OFDMA, MIMO, cooperative networks, cognitive radio systems, and energy management in the smart grid.
Guest Editor: 2
Dr. Peerapong Uthansakul
School of Telecommunication Engineering
Suranaree University of Technology
Nakhon Ratchasima, Thailand.
ORCID: https://orcid.org/0000-0002-7108-9263
Email: uthansakul.sut@gmail.com
IEEE: https://ieeexplore.ieee.org/author/37279043200
Peerapong Uthansakul (Member, IEEE) received the B.E. and M.E. degrees in electrical engineering from Chulalongkorn University, Bangkok, Thailand, in 1996 and 1998, respectively, and the Ph.D. degree in information technology and electrical engineering from The University of Queensland, Brisbane, QLD, Australia, in 2007.,From 1998 to 2001, he was employed as a telecommunication engineer at one of the leading telecommunication companies in Thailand. He is currently working as an Associate Professor and the Dean of the Research Department, Suranaree University of Technology, Nakhon Ratchasima, Thailand. He has more than 100 research publications and the author/coauthor of various books related to MIMO technologies. His research interests include green communications, wave propagation modeling, MIMO, massive MIMO, brain wave engineering, OFDM and advanced wireless communications, wireless sensor networks, embedded systems, the Internet of Things, and network security. He has won various national awards from the Government of Thailand for his contributions and motivation in the field of science and technology. Furthermore, he is the Editor of Suranaree Journal of Science and Technology and other leading Thailand journals related to science and technology.
Guest Editor: 3
Dr. Doaa Samy Khafaga
Department of Computer Sciences
College of Computer and Information Science
Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia.
Email: dskhafga@pnu.edu.sa, doaa_samikfg@outlook.com
ORCID: https://orcid.org/0000-0002-9843-6392
Google Scholar: https://scholar.google.com/citations?user=-LX0dfQAAAAJ&hl=en
Doaa Sami Khafaga received the B.Sc. degree (Hons.) in computer and information sciences, the M.Sc. degree in computer science, and the Ph.D. degree in computer science from the Faculty of Computers and Artificial Intelligence, Helwan University, Egypt, in 2003, 2008, and 2013, respectively. She has 18 years of academic experience. She has worked with the Computer Science Department, College of Information Technology and Artificial Intelligence, Misr University for Science and Technology, Egypt; the Computer Science Department, Institute of Public Administration, Saudi Arabia; and the Computer Science Department, Faculty of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University. Her main research interests include data science, artificial intelligence, machine learning, data mining, and software engineering. She has FHEA and the fellow recognition from U.K. Higher Education Academy. She is currently a reviewer for some Journals.
Tentative Timeline for this Special Issue:
Submission Deadline: 10-08-2024
Notification to Author: 10-10-2024
Revised Version Submission: 05-12-2024
Final Acceptance: 15-02-2025
International Journal of Renewable Energy Development (ISSN:2252-4940) published by CBIORE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
