IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v18y2025i9p2391-d1650744.html
   My bibliography  Save this article

Optimal Residential Battery Storage Sizing Under ToU Tariffs and Dynamic Electricity Pricing

Author

Listed:
  • Damir Jakus

    (Department of Power Engineering, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split—FESB, Ruđera Boškovića 32, 21000 Split, Croatia)

  • Joško Novaković

    (Department of Power Engineering, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split—FESB, Ruđera Boškovića 32, 21000 Split, Croatia)

  • Josip Vasilj

    (Department of Power Engineering, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split—FESB, Ruđera Boškovića 32, 21000 Split, Croatia)

  • Danijel Jolevski

    (Department of Power Engineering, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split—FESB, Ruđera Boškovića 32, 21000 Split, Croatia)

Abstract

The integration of renewable energy sources, particularly solar photovoltaics, into household power supply has become increasingly popular due to its potential to reduce energy costs and environmental impact. However, solar power variability and new regulative changes concerning excess solar energy compensation schemes call for effective energy storage management and sizing to ensure a stable and profitable electricity supply. This paper focuses on optimizing residential battery storage systems under different electricity pricing schemes such as time-of-use tariffs, dynamic pricing, and different excess solar energy compensation schemes. The central question addressed is how different pricing mechanisms and compensation strategies for excess solar energy, as well as varying battery storage investment costs, determine the optimal sizing of battery storage systems. A comprehensive mixed-integer linear programming model is developed to analyze these factors, incorporating various financial and operational parameters. The model is applied to a residential case study in Croatia, examining the impact of monthly net metering/billing, 15 min net billing, and dynamic pricing on optimal battery storage sizing and economic viability.

Suggested Citation

  • Damir Jakus & Joško Novaković & Josip Vasilj & Danijel Jolevski, 2025. "Optimal Residential Battery Storage Sizing Under ToU Tariffs and Dynamic Electricity Pricing," Energies, MDPI, vol. 18(9), pages 1-24, May.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:9:p:2391-:d:1650744
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/18/9/2391/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/18/9/2391/
    Download Restriction: no
    ---><---

    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:jeners:v:18:y:2025:i:9:p:2391-:d:1650744. 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: 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.