Optimal Battery Size using Predicted PV Power and Load

• Author(s): Gaurang Gupta ; Sanyam Ahuja ; Vrinda Goel ; Deshendra Sihag ; Vijander Singh
• Paper ID: 1706319
• Page: 579-587
• Published Date: 01-10-2024
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 8 Issue 3 September-2024

Abstract

With the increasing adoption of renewable energy systems, such as photovoltaic (PV) systems, in buildings, the effective sizing of battery storage systems becomes crucial to ensure a balanced energy supply and demand. This study uses PV power prediction with the Facebook Prophet model to examine the ideal battery sizing for net-zero energy buildings (NZEB). In order to ensure effective energy usage and create a net-zero energy balance, the paper discusses the difficulties associated with integrating renewable energy sources, particularly photovoltaic systems, into buildings. Accurate projections of PV power generation are generated by utilizing the Facebook Prophet model’s capabilities, making it easier to choose the right battery size and model the PV system to accomplish NZEB. The research has important implications for energy management and sustainable building design, allowing net-zero energy buildings to store excess energy during times of high generation and use it during times of low generation or high demand.

Keywords

PV Modelling, Battery sizing, Load Forecasting, Facebook Prophet, Net Zero Energy Buildings

Citations

IRE Journals:
Gaurang Gupta , Sanyam Ahuja , Vrinda Goel , Deshendra Sihag , Vijander Singh "Optimal Battery Size using Predicted PV Power and Load" Iconic Research And Engineering Journals Volume 8 Issue 3 2024 Page 579-587

IEEE:
Gaurang Gupta , Sanyam Ahuja , Vrinda Goel , Deshendra Sihag , Vijander Singh "Optimal Battery Size using Predicted PV Power and Load" Iconic Research And Engineering Journals, 8(3)