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PV-Battery System Design for an Indigenous People School in Malaysia

Carbon dioxide; Digital storage; Electric batteries; Hybrid systems; Rural areas; Sensitivity analysis; Battery storage system; Data collection; Hybrid configurations; Hybrid optimization; Indigenous people; Net present cost; Renewable energy fractions; System configurations; Economic analysis

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Bibliographic Details
Main Authors: Basir Khan M.R., Al-Fattah J., Pasupuleti J., Tahmasebi M.
Other Authors: 55812128900
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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spelling my.uniten.dspace-245052023-05-29T15:24:03Z PV-Battery System Design for an Indigenous People School in Malaysia Basir Khan M.R. Al-Fattah J. Pasupuleti J. Tahmasebi M. 55812128900 57190137793 11340187300 55945605900 Carbon dioxide; Digital storage; Electric batteries; Hybrid systems; Rural areas; Sensitivity analysis; Battery storage system; Data collection; Hybrid configurations; Hybrid optimization; Indigenous people; Net present cost; Renewable energy fractions; System configurations; Economic analysis This paper discusses the technical and economic analysis for an installation of PV-battery system to minimize grid dependency of selected rural areas in Malaysia. A remote located school is selected for this study as it represents typical remote schools in this country. The selected school is Sekolah Kebangsaan Orang Asli Sungai Bumbun. The school located in a village located on Carey Island in Kuala Langat district of Selangor, Malaysia. The study starts with data collection such as load profile alongside solar radiation and ambient temperature. Hybrid optimization software was used to determine the optimal hybrid system configuration for the school. Then, sensitivity analysis is performed to identify optimal configurations with respect to changes in grid price, interest rate and load profile. The potential hybrid configurations were compared best on Net Present Cost (NPC), Levelized Cost of Energy (LCOE), Carbon dioxide (CO2) and renewable energy fraction. The most optimal configurations for PV-battery-grid system for the school is 3 kW PV with 7 kWh battery storage system. � 2019 IEEE. Final 2023-05-29T07:24:03Z 2023-05-29T07:24:03Z 2019 Conference Paper 10.1109/ICSIMA47653.2019.9057313 2-s2.0-85083917374 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083917374&doi=10.1109%2fICSIMA47653.2019.9057313&partnerID=40&md5=d9cfb840666a4c97dc5f1aa874b788b1 https://irepository.uniten.edu.my/handle/123456789/24505 9057313 Institute of Electrical and Electronics Engineers Inc. Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Carbon dioxide; Digital storage; Electric batteries; Hybrid systems; Rural areas; Sensitivity analysis; Battery storage system; Data collection; Hybrid configurations; Hybrid optimization; Indigenous people; Net present cost; Renewable energy fractions; System configurations; Economic analysis
author2 55812128900
author_facet 55812128900
Basir Khan M.R.
Al-Fattah J.
Pasupuleti J.
Tahmasebi M.
format Conference Paper
author Basir Khan M.R.
Al-Fattah J.
Pasupuleti J.
Tahmasebi M.
spellingShingle Basir Khan M.R.
Al-Fattah J.
Pasupuleti J.
Tahmasebi M.
PV-Battery System Design for an Indigenous People School in Malaysia
author_sort Basir Khan M.R.
title PV-Battery System Design for an Indigenous People School in Malaysia
title_short PV-Battery System Design for an Indigenous People School in Malaysia
title_full PV-Battery System Design for an Indigenous People School in Malaysia
title_fullStr PV-Battery System Design for an Indigenous People School in Malaysia
title_full_unstemmed PV-Battery System Design for an Indigenous People School in Malaysia
title_sort pv-battery system design for an indigenous people school in malaysia
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
_version_ 1806424102347472896
score 13.222552

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