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Demand management to mitigate impacts of plug-in electric vehicle fast charge in buildings with renewables

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  • Sehar, Fakeha
  • Pipattanasomporn, Manisa
  • Rahman, Saifur

Abstract

Plug-in electric vehicle penetration is increasing due to technical advancements and environmental concerns. Along with residential plug-in electric vehicle charging, the public charging infrastructure is much needed to reduce plug-in electric vehicles' range anxiety and foster their adoption. Renewable energy and demand management programs are considered viable options that can reduce the impacts of widespread plug-in electric vehicle penetration on the electric grid. This research studies the impacts of plug-in electric vehicle direct current fast charging on a simulated standalone retail building's peak demand and energy consumption, and presents the ability of renewable energy and demand management options to reduce their impacts. Additionally, insights into a public charge station usage are presented by monitoring different types of plug-in electric vehicle charge behaviors at a retail site. Research findings indicate that demand management of building end-use loads along with the use of solar photovoltaic can contribute to absorbing plug-in electric vehicle penetration at the building level ranging from the average of 7% for the demand management option alone to an average of 38% for the combination of demand management and solar photovoltaic, and contributing to shifting building peak demand to late evening hours.

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  • Sehar, Fakeha & Pipattanasomporn, Manisa & Rahman, Saifur, 2017. "Demand management to mitigate impacts of plug-in electric vehicle fast charge in buildings with renewables," Energy, Elsevier, vol. 120(C), pages 642-651.
  • Handle: RePEc:eee:energy:v:120:y:2017:i:c:p:642-651
    DOI: 10.1016/j.energy.2016.11.118
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    References listed on IDEAS

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    Cited by:

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    6. Anamarija Falkoni & Antun Pfeifer & Goran Krajačić, 2020. "Vehicle-to-Grid in Standard and Fast Electric Vehicle Charging: Comparison of Renewable Energy Source Utilization and Charging Costs," Energies, MDPI, vol. 13(6), pages 1-22, March.
    7. Luiz Almeida & Ana Soares & Pedro Moura, 2023. "A Systematic Review of Optimization Approaches for the Integration of Electric Vehicles in Public Buildings," Energies, MDPI, vol. 16(13), pages 1-26, June.
    8. Zou, Wenke & Sun, Yongjun & Gao, Dian-ce & Zhang, Xu & Liu, Junyao, 2023. "A review on integration of surging plug-in electric vehicles charging in energy-flexible buildings: Impacts analysis, collaborative management technologies, and future perspective," Applied Energy, Elsevier, vol. 331(C).
    9. Sanchari Deb & Kari Tammi & Karuna Kalita & Pinakeshwar Mahanta, 2018. "Impact of Electric Vehicle Charging Station Load on Distribution Network," Energies, MDPI, vol. 11(1), pages 1-25, January.
    10. Hariri, Ali-Mohammad & Hashemi-Dezaki, Hamed & A. Hejazi, Maryam, 2020. "A novel generalized analytical reliability assessment method of smart grids including renewable and non-renewable distributed generations and plug-in hybrid electric vehicles," Reliability Engineering and System Safety, Elsevier, vol. 196(C).
    11. Sara Deilami & S. M. Muyeen, 2020. "An Insight into Practical Solutions for Electric Vehicle Charging in Smart Grid," Energies, MDPI, vol. 13(7), pages 1-13, March.
    12. Bastida-Molina, Paula & Hurtado-Pérez, Elías & Moros Gómez, María Cristina & Vargas-Salgado, Carlos, 2021. "Multicriteria power generation planning and experimental verification of hybrid renewable energy systems for fast electric vehicle charging stations," Renewable Energy, Elsevier, vol. 179(C), pages 737-755.
    13. Sridharan, S. & Sivakumar, S. & Shanmugasundaram, N. & Swapna, S. & Vasan Prabhu, V., 2023. "A hybrid approach based energy management for building resilience against power outage by shared parking station for EVs," Renewable Energy, Elsevier, vol. 216(C).
    14. Tian, Man-Wen & Talebizadehsardari, Pouyan, 2021. "Energy cost and efficiency analysis of building resilience against power outage by shared parking station for electric vehicles and demand response program," Energy, Elsevier, vol. 215(PB).
    15. Lagomarsino, Maria & van der Kam, Mart & Parra, David & Hahnel, Ulf J.J., 2022. "Do I need to charge right now? Tailored choice architecture design can increase preferences for electric vehicle smart charging," Energy Policy, Elsevier, vol. 162(C).
    16. Yi, Tao & Cheng, Xiaobin & Peng, Peng, 2022. "Two-stage optimal allocation of charging stations based on spatiotemporal complementarity and demand response: A framework based on MCS and DBPSO," Energy, Elsevier, vol. 239(PC).
    17. Seddig, Katrin & Jochem, Patrick & Fichtner, Wolf, 2017. "Integrating renewable energy sources by electric vehicle fleets under uncertainty," Energy, Elsevier, vol. 141(C), pages 2145-2153.
    18. Laith Shalalfeh & Ashraf AlShalalfeh & Khaled Alkaradsheh & Mahmoud Alhamarneh & Ahmad Bashaireh, 2021. "Electric Vehicles in Jordan: Challenges and Limitations," Sustainability, MDPI, vol. 13(6), pages 1-16, March.
    19. Corinaldesi, Carlo & Lettner, Georg & Auer, Hans, 2022. "On the characterization and evaluation of residential on-site E-car-sharing," Energy, Elsevier, vol. 246(C).
    20. Quddus, Md Abdul & Shahvari, Omid & Marufuzzaman, Mohammad & Usher, John M. & Jaradat, Raed, 2018. "A collaborative energy sharing optimization model among electric vehicle charging stations, commercial buildings, and power grid," Applied Energy, Elsevier, vol. 229(C), pages 841-857.
    21. Bruno Canizes & João Soares & Zita Vale & Juan M. Corchado, 2019. "Optimal Distribution Grid Operation Using DLMP-Based Pricing for Electric Vehicle Charging Infrastructure in a Smart City," Energies, MDPI, vol. 12(4), pages 1-40, February.
    22. Chitalia, Gopal & Pipattanasomporn, Manisa & Garg, Vishal & Rahman, Saifur, 2020. "Robust short-term electrical load forecasting framework for commercial buildings using deep recurrent neural networks," Applied Energy, Elsevier, vol. 278(C).
    23. Cao, Sunliang, 2019. "The impact of electric vehicles and mobile boundary expansions on the realization of zero-emission office buildings," Applied Energy, Elsevier, vol. 251(C), pages 1-1.

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