IDEAS home Printed from https://ideas.repec.org/a/gam/jcltec/v3y2021i2p30-518d575773.html
   My bibliography  Save this article

Optimal Operation of Solar Powered Electric Vehicle Parking Lots Considering Different Photovoltaic Technologies

Author

Listed:
  • Mahsa Z. Farahmand

    (Department of Electrical Engineering, K. N. Toosi University of Technology, Tehran 19697-64499, Iran)

  • Sara Javadi

    (School of Technology and Innovations, University of Vaasa, FI-65200 Vaasa, Finland)

  • Sayyed Muhammad Bagher Sadati

    (National Iranian Oil Company (NIOC), Iranian Central Oil Fields Company (ICOFC), West Oil and Gas Production Company (WOGPC), Kermanshah 67146-77745, Iran)

  • Hannu Laaksonen

    (School of Technology and Innovations, University of Vaasa, FI-65200 Vaasa, Finland)

  • Miadreza Shafie-khah

    (School of Technology and Innovations, University of Vaasa, FI-65200 Vaasa, Finland)

Abstract

The performance of electric vehicles and their abilities to reduce fossil fuel consumption and air pollution on one hand and the use of photovoltaic (PV) panels in energy production, on the other hand, has encouraged parking lot operators (PLO) to participate in the energy market to gain more profit. However, there are several challenges such as different technologies of photovoltaic panels that make the problem complex in terms of installation cost, efficiency, available output power and dependency on environmental temperature. Therefore, the aim of this study is to maximize the PLO’s operational profit under the time of use energy pricing scheme by investigating the effects of different PV panel technologies on energy production and finding the best strategy for optimal operation of PVs and electric vehicle (EV) parking lots which is achieved by means of market and EV owners’ interaction. For the accurate investigation, four different PV panel technologies are considered in different seasons, with significant differences in daylight times, in Helsinki, Finland.

Suggested Citation

  • Mahsa Z. Farahmand & Sara Javadi & Sayyed Muhammad Bagher Sadati & Hannu Laaksonen & Miadreza Shafie-khah, 2021. "Optimal Operation of Solar Powered Electric Vehicle Parking Lots Considering Different Photovoltaic Technologies," Clean Technol., MDPI, vol. 3(2), pages 1-16, June.
    • Handle: RePEc:gam:jcltec:v:3:y:2021:i:2:p:30-518:d:575773
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2571-8797/3/2/30/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2571-8797/3/2/30/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Heydarian-Forushani, E. & Golshan, M.E.H. & Shafie-khah, M., 2016. "Flexible interaction of plug-in electric vehicle parking lots for efficient wind integration," Applied Energy, Elsevier, vol. 179(C), pages 338-349.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Md. Rayid Hasan Mojumder & Fahmida Ahmed Antara & Md. Hasanuzzaman & Basem Alamri & Mohammad Alsharef, 2022. "Electric Vehicle-to-Grid (V2G) Technologies: Impact on the Power Grid and Battery," Sustainability, MDPI, vol. 14(21), pages 1-53, October.
    2. Hamidreza Nazaripouya, 2022. "Integration and Control of Distributed Renewable Energy Resources," Clean Technol., MDPI, vol. 4(1), pages 1-4, March.
    3. Madhu Andela & Ahmmadhussain Shaik & Saicharan Beemagoni & Vishal Kurimilla & Rajagopal Veramalla & Amritha Kodakkal & Surender Reddy Salkuti, 2022. "Solar Photovoltaic System-Based Reduced Switch Multilevel Inverter for Improved Power Quality," Clean Technol., MDPI, vol. 4(1), pages 1-13, January.
    4. Zeeshan Anjum Memon & Dalila Mat Said & Mohammad Yusri Hassan & Hafiz Mudassir Munir & Faisal Alsaif & Sager Alsulamy, 2023. "Effective Deterministic Methodology for Enhanced Distribution Network Performance and Plug-in Electric Vehicles," Sustainability, MDPI, vol. 15(9), pages 1-37, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Junchao Cheng & Yongyi Huang & Hongjing He & Abdul Matin Ibrahimi & Tomonobu Senjyu, 2023. "Optimal Operation of CCHP System Combined Electric Vehicles Considering Seasons," Energies, MDPI, vol. 16(10), pages 1-21, May.
    2. Lin, Boqiang & Li, Zheng, 2020. "Is more use of electricity leading to less carbon emission growth? An analysis with a panel threshold model," Energy Policy, Elsevier, vol. 137(C).
    3. 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.
    4. Zeng, Bo & Sun, Bo & Wei, Xuan & Gong, Dunwei & Zhao, Dongbo & Singh, Chanan, 2020. "Capacity value estimation of plug-in electric vehicle parking-lots in urban power systems: A physical-social coupling perspective," Applied Energy, Elsevier, vol. 265(C).
    5. Haque, A.N.M.M. & Ibn Saif, A.U.N. & Nguyen, P.H. & Torbaghan, S.S., 2016. "Exploration of dispatch model integrating wind generators and electric vehicles," Applied Energy, Elsevier, vol. 183(C), pages 1441-1451.
    6. Mansourshoar, Paria & Yazdankhah, Ahmad Sadeghi & Vatanpour, Mohsen & Mohammadi-Ivatloo, Behnam, 2022. "Impact of implementing a price-based demand response program on the system reliability in security-constrained unit commitment problem coupled with wind farms in the presence of contingencies," Energy, Elsevier, vol. 255(C).
    7. Heydarian-Forushani, E. & Golshan, M.E.H. & Siano, Pierluigi, 2017. "Evaluating the benefits of coordinated emerging flexible resources in electricity markets," Applied Energy, Elsevier, vol. 199(C), pages 142-154.
    8. Wu, Chuanshen & Gao, Shan & Liu, Yu & Song, Tiancheng E. & Han, Haiteng, 2021. "A model predictive control approach in microgrid considering multi-uncertainty of electric vehicles," Renewable Energy, Elsevier, vol. 163(C), pages 1385-1396.
    9. Heilmann, Christoph & Wozabal, David, 2021. "How much smart charging is smart?," Applied Energy, Elsevier, vol. 291(C).
    10. Tohid Harighi & Sanjeevikumar Padmanaban & Ramazan Bayindir & Eklas Hossain & Jens Bo Holm-Nielsen, 2019. "Electric Vehicle Charge Stations Location Analysis and Determination—Ankara (Turkey) Case Study," Energies, MDPI, vol. 12(18), pages 1-22, September.
    11. Seyfettin Vadi & Ramazan Bayindir & Alperen Mustafa Colak & Eklas Hossain, 2019. "A Review on Communication Standards and Charging Topologies of V2G and V2H Operation Strategies," Energies, MDPI, vol. 12(19), pages 1-27, September.
    12. Panagiotis Adraktas & Athanasios Dagoumas, 2019. "Integration of Electric Vehicles in the Unit Commitment Problem with Uncertain Renewable Electricity Generation," International Journal of Energy Economics and Policy, Econjournals, vol. 9(2), pages 315-333.
    13. Ramos Muñoz, Edgar & Jabbari, Faryar, 2020. "A decentralized, non-iterative smart protocol for workplace charging of battery electric vehicles," Applied Energy, Elsevier, vol. 272(C).
    14. Edgar Ramos Muñoz & Faryar Jabbari, 2022. "An Octopus Charger-Based Smart Protocol for Battery Electric Vehicle Charging at a Workplace Parking Structure," Energies, MDPI, vol. 15(17), pages 1-25, September.
    15. Perez-Diaz, Alvaro & Gerding, Enrico & McGroarty, Frank, 2018. "Coordination and payment mechanisms for electric vehicle aggregators," Applied Energy, Elsevier, vol. 212(C), pages 185-195.
    16. Wu, Chuanshen & Jiang, Sufan & Gao, Shan & Liu, Yu & Han, Haiteng, 2022. "Charging demand forecasting of electric vehicles considering uncertainties in a microgrid," Energy, Elsevier, vol. 247(C).
    17. Tohid Harighi & Ramazan Bayindir & Sanjeevikumar Padmanaban & Lucian Mihet-Popa & Eklas Hossain, 2018. "An Overview of Energy Scenarios, Storage Systems and the Infrastructure for Vehicle-to-Grid Technology," Energies, MDPI, vol. 11(8), pages 1-18, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jcltec:v:3:y:2021:i:2:p:30-518:d:575773. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.