IDEAS home Printed from https://ideas.repec.org/a/epw/ejeng0/v6y2021i5id62497.html

Dynamic Modelling of a Solar Energy System with Vehicle to Home Option for Newfoundland Conditions

Author

Listed:
  • Raghul Suraj Sundararajan

    (Memorial University of Newfoundland, Canada)

  • M. Tariq Iqbal

    (Memorial University of Newfoundland, Canada)

Abstract

This paper discusses the dynamic modelling of a solar energy system with vehicle to home (V2H) option for Newfoundland condition. A location was chosen (13 Polina Road) in St. John’s, Newfoundland, Canada. Using BEopt, Homer and MATLAB software, an optimized system was designed for the chosen site to satisfy the house’s energy demand. Furthermore, the concept of V2H is also implemented with aid of smart current sensors installed in the house. When the power provided by the PV panel and the stored energy in the inhouse battery is less than the load’s energy demand, the Nissan Leaf’s battery used to supply home loads in V2H operation mode. The system operates based on the information generated by the sensors. Detailed system dynamic modelling is also presented along with the simulation results. Eight system control modes are proposed and simulated.

Suggested Citation

  • Raghul Suraj Sundararajan & M. Tariq Iqbal, 2021. "Dynamic Modelling of a Solar Energy System with Vehicle to Home Option for Newfoundland Conditions," European Journal of Engineering and Technology Research, European Open Science, vol. 6(5), pages 16-23, July.
  • Handle: RePEc:epw:ejeng0:v:6:y:2021:i:5:id:62497
    DOI: 10.24018/ejeng.2021.6.5.2497
    as

    Download full text from publisher

    File URL: https://eu-opensci.org/index.php/ejeng/article/view/62497
    File Function: Abstract page
    Download Restriction: no

    File URL: https://eu-opensci.org/index.php/ejeng/article/download/62497/12703
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.24018/ejeng.2021.6.5.2497?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    Statistics

    Access and download statistics

    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:epw:ejeng0:v:6:y:2021:i:5:id:62497. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Support (email available below). General contact details of provider: https://eu-opensci.org/index.php/ejeng .

    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.