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Rooftop Solar and Electric Vehicle Integration for Smart, Sustainable Homes: A Comprehensive Review

Author

Listed:
  • Muhammad Irfan

    (School of Engineering, Macquarie University, Sydney, NSW 2109, Australia)

  • Sara Deilami

    (School of Engineering, Macquarie University, Sydney, NSW 2109, Australia)

  • Shujuan Huang

    (School of Engineering, Macquarie University, Sydney, NSW 2109, Australia)

  • Binesh Puthen Veettil

    (School of Engineering, Macquarie University, Sydney, NSW 2109, Australia)

Abstract

The rapid growth of the energy and transport sectors has led to an increase in fuel consumption, resulting in a significant rise in greenhouse gas emissions. Switching to renewable energy sources and replacing internal combustion engines with electric vehicles (EVs) can significantly reduce greenhouse gas emissions. In recent years, the electrification of the transportation sector has become a primary focus of research and development efforts. However, if EVs are charged using conventional energy sources, we are unable to fully capitalize on their potential to reduce emissions. Charging EVs using renewable energy sources is the optimal solution. Otherwise, the increased number of EVs on the roads can significantly impact the stability of existing electric grids. As a result, smart homes with EV charging stations are becoming increasingly popular worldwide. This review focuses on the concept of grid-connected rooftop solar photovoltaic (PV) smart homes integrated with EVs and energy management systems in Australia. Australia can reduce emissions in the building and transport sectors by electrifying a range of vehicles and ultimately powering them with 100% renewable energy sources. The benefits of EV integration alongside rooftop solar systems for smart homes with house-to-vehicle or vehicle-to-house, as well as vehicle-to-grid or grid-to-vehicle (bidirectional EV charging) capabilities are also explored in this article. By adopting these systems, these smart homes can provide energy schemes for commercial use, ultimately contributing to the owner’s economic benefit.

Suggested Citation

  • Muhammad Irfan & Sara Deilami & Shujuan Huang & Binesh Puthen Veettil, 2023. "Rooftop Solar and Electric Vehicle Integration for Smart, Sustainable Homes: A Comprehensive Review," Energies, MDPI, vol. 16(21), pages 1-29, October.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:21:p:7248-:d:1267234
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    References listed on IDEAS

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    1. Dinh, Huy Truong & Lee, Kyu-haeng & Kim, Daehee, 2022. "Supervised-learning-based hour-ahead demand response for a behavior-based home energy management system approximating MILP optimization," Applied Energy, Elsevier, vol. 321(C).
    2. Alzahrani, Ahmad & Sajjad, Khizar & Hafeez, Ghulam & Murawwat, Sadia & Khan, Sheraz & Khan, Farrukh Aslam, 2023. "Real-time energy optimization and scheduling of buildings integrated with renewable microgrid," Applied Energy, Elsevier, vol. 335(C).
    3. Berg, Kjersti & Rana, Rubi & Farahmand, Hossein, 2023. "Quantifying the benefits of shared battery in a DSO-energy community cooperation," Applied Energy, Elsevier, vol. 343(C).
    4. Sinha, Avik & Sengupta, Tuhin & Alvarado, Rafael, 2020. "Interplay between Technological Innovation and Environmental Quality: Formulating the SDG Policies for Next 11 Economies," MPRA Paper 104247, University Library of Munich, Germany, revised 2020.
    5. Amirioun, Mohammad Hassan & Kazemi, Ahad, 2014. "A new model based on optimal scheduling of combined energy exchange modes for aggregation of electric vehicles in a residential complex," Energy, Elsevier, vol. 69(C), pages 186-198.
    6. Chapman, Andrew J. & McLellan, Benjamin & Tezuka, Tetsuo, 2016. "Residential solar PV policy: An analysis of impacts, successes and failures in the Australian case," Renewable Energy, Elsevier, vol. 86(C), pages 1265-1279.
    7. Wang, Y. & Rousis, A. Oulis & Strbac, G., 2022. "Resilience-driven optimal sizing and pre-positioning of mobile energy storage systems in decentralized networked microgrids," Applied Energy, Elsevier, vol. 305(C).
    8. Wang, Xiaoxue & Wang, Chengshan & Xu, Tao & Guo, Lingxu & Li, Peng & Yu, Li & Meng, He, 2018. "Optimal voltage regulation for distribution networks with multi-microgrids," Applied Energy, Elsevier, vol. 210(C), pages 1027-1036.
    9. McLoughlin, Fintan & Duffy, Aidan & Conlon, Michael, 2015. "A clustering approach to domestic electricity load profile characterisation using smart metering data," Applied Energy, Elsevier, vol. 141(C), pages 190-199.
    10. Fachrizal, Reza & Shepero, Mahmoud & Åberg, Magnus & Munkhammar, Joakim, 2022. "Optimal PV-EV sizing at solar powered workplace charging stations with smart charging schemes considering self-consumption and self-sufficiency balance," Applied Energy, Elsevier, vol. 307(C).
    11. Noori, Mehdi & Zhao, Yang & Onat, Nuri C. & Gardner, Stephanie & Tatari, Omer, 2016. "Light-duty electric vehicles to improve the integrity of the electricity grid through Vehicle-to-Grid technology: Analysis of regional net revenue and emissions savings," Applied Energy, Elsevier, vol. 168(C), pages 146-158.
    12. Li, Lantian & Wang, Zhenpo & Gao, Feng & Wang, Shuo & Deng, Junjun, 2020. "A family of compensation topologies for capacitive power transfer converters for wireless electric vehicle charger," Applied Energy, Elsevier, vol. 260(C).
    13. Martino Tran & David Banister & Justin D. K. Bishop & Malcolm D. McCulloch, 2012. "Realizing the electric-vehicle revolution," Nature Climate Change, Nature, vol. 2(5), pages 328-333, May.
    14. Bandyopadhyay, Arkasama & Leibowicz, Benjamin D. & Webber, Michael E., 2021. "Solar panels and smart thermostats: The power duo of the residential sector?," Applied Energy, Elsevier, vol. 290(C).
    15. Nejat, Payam & Jomehzadeh, Fatemeh & Taheri, Mohammad Mahdi & Gohari, Mohammad & Abd. Majid, Muhd Zaimi, 2015. "A global review of energy consumption, CO2 emissions and policy in the residential sector (with an overview of the top ten CO2 emitting countries)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 843-862.
    16. Fathabadi, Hassan, 2020. "Novel stand-alone, completely autonomous and renewable energy based charging station for charging plug-in hybrid electric vehicles (PHEVs)," Applied Energy, Elsevier, vol. 260(C).
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