{"title":"Optimizing battery energy storage and solar photovoltaic systems for lower-to-middle-income schools amidst load-shedding","authors":"T. Michael-Ahile , J.A. Samuels , M.J. Booysen","doi":"10.1016/j.esd.2025.101675","DOIUrl":null,"url":null,"abstract":"<div><div>Energy reliability and cost efficiency are critical challenges for lower-to-middle-income schools in developing regions, where frequent power outages hinder academic activities and strain finances. This study presents a robust methodology to determine the optimal size of the photovoltaic (PV) system coupled with battery storage, under two distinct demand scenarios: “stable” and“intermittent”. The stable scenario assumes consistent year-round demand, while the intermittent scenario models 50% demand during load-shedding periods.</div><div>A proposed Unified Rule-Based (URB) scheduling approach was evaluated across different electricity pricing schemes. Optimal PV sizes managed with the URB strategy achieved up to 22% lifetime savings, reduced total energy demand by 47%, and peak-hour demand by 63%, while supporting 98% of the load-shedding requirements. This approach offers a scalable and practical solution for improving energy reliability, reducing costs, and enhancing environmental sustainability in low-income educational institutions. The findings underscore the effectiveness of the URB strategy and provide actionable insights for future policy implementations and the advancement of climate-neutrality targets.</div></div>","PeriodicalId":49209,"journal":{"name":"Energy for Sustainable Development","volume":"85 ","pages":"Article 101675"},"PeriodicalIF":4.4000,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy for Sustainable Development","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0973082625000250","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0
Abstract
Energy reliability and cost efficiency are critical challenges for lower-to-middle-income schools in developing regions, where frequent power outages hinder academic activities and strain finances. This study presents a robust methodology to determine the optimal size of the photovoltaic (PV) system coupled with battery storage, under two distinct demand scenarios: “stable” and“intermittent”. The stable scenario assumes consistent year-round demand, while the intermittent scenario models 50% demand during load-shedding periods.
A proposed Unified Rule-Based (URB) scheduling approach was evaluated across different electricity pricing schemes. Optimal PV sizes managed with the URB strategy achieved up to 22% lifetime savings, reduced total energy demand by 47%, and peak-hour demand by 63%, while supporting 98% of the load-shedding requirements. This approach offers a scalable and practical solution for improving energy reliability, reducing costs, and enhancing environmental sustainability in low-income educational institutions. The findings underscore the effectiveness of the URB strategy and provide actionable insights for future policy implementations and the advancement of climate-neutrality targets.
期刊介绍:
Published on behalf of the International Energy Initiative, Energy for Sustainable Development is the journal for decision makers, managers, consultants, policy makers, planners and researchers in both government and non-government organizations. It publishes original research and reviews about energy in developing countries, sustainable development, energy resources, technologies, policies and interactions.