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A validated forecasting model for optimizing dispatch schedules of PV - battery system in grid-connected apartment buildings

Author

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  • Lundmark, Linda
  • Golzar, Farzin
  • Guedez, Rafael
  • Astaneh, Majid

Abstract

The escalating emissions of greenhouse gases have emerged as the primary driver of global warming. Cities have been found responsible for 70 % of global CO2 emissions. This brings high potential for lowering greenhouse gas emission by introducing innovative technologies in urban environments. One promising technology is Photovoltaics (PV) coupled with energy storage systems (ESS). In this paper, the deployment, integration, and operation of ESS coupled PV is being investigated. This involves installing a real-life PV-ESS system in the KTH Live-In-Lab. This paper focuses on the optimization of battery operations and prepares the framework for an automated operation of the real-life battery installed in the KTH Live-in-Lab. The focus centers on achieving two separate objective functions: minimizing costs and maximizing self-consumption. These goals are pursued through the application of linear optimization, day-ahead forecasting, and real-time control.

Suggested Citation

  • Lundmark, Linda & Golzar, Farzin & Guedez, Rafael & Astaneh, Majid, 2026. "A validated forecasting model for optimizing dispatch schedules of PV - battery system in grid-connected apartment buildings," Applied Energy, Elsevier, vol. 404(C).
    • Handle: RePEc:eee:appene:v:404:y:2026:i:c:s0306261925018537
    DOI: 10.1016/j.apenergy.2025.127123
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