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CORRECTION article

Front. Energy Res.
Sec. Smart Grids
Volume 12 - 2024 | doi: 10.3389/fenrg.2024.1399443
This article is part of the Research Topic 10 Years of Frontiers in Energy Research View all 13 articles

Corrigendum: Optimal sizing of photovoltaic-battery system for peak demand reduction using statistical models

Provisionally accepted
Anil Pahwa Anil Pahwa *Reza Nematirad Reza Nematirad
  • Kansas State University, Manhattan, United States

The final, formatted version of the article will be published soon.

    Due to increasing environmental concerns and demand for clean energy resources, photovoltaic (PV) systems are becoming more prevalent. Considering that in several instances, customers pay for both energy and power, PV installations not only must reduce the customers’ energy purchases but also lower their peak demand for maximum financial benefits. However, in many cases, the peak demand does not coincide with the peak of photovoltaic generation. To address this issue, excess energy generated during low-demand periods can be stored in a battery, which can then be used to meet peak demand. Determining the optimal size of photovoltaic and battery components while ensuring system performance and financial benefits is significantly challenging. This study proposes a novel statistical methodology for optimizing PV-battery system size. In the proposed method, the PV-battery system must meet peak demand thresholds with a specific probability. Further, cost and benefit functions are used for financial evaluation. Finally, Monte Carlo simulations, developed using time series clustering and a Bayesian model are utilized to assess system performance and financial feasibility.

    Keywords: Photovoltaic-battery system, Peak demand reduction, Time series clustering, statistical analysis, Monte - Carlo simulation

    Received: 11 Mar 2024; Accepted: 22 Jul 2024.

    Copyright: © 2024 Pahwa and Nematirad. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Anil Pahwa, Kansas State University, Manhattan, United States

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.