Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.13091/5225
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Hossain, J. | - |
dc.contributor.author | Shareef, H. | - |
dc.contributor.author | Hossain, M.A. | - |
dc.contributor.author | Manojkumar, R. | - |
dc.contributor.author | Abdullah, Q. | - |
dc.contributor.author | Al-Masoodi, A.H.H. | - |
dc.date.accessioned | 2024-03-16T09:49:31Z | - |
dc.date.available | 2024-03-16T09:49:31Z | - |
dc.date.issued | 2023 | - |
dc.identifier.isbn | 9781665471640 | - |
dc.identifier.uri | https://doi.org/10.1109/ETFG55873.2023.10408468 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.13091/5225 | - |
dc.description | 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023 -- 3 December 2023 through 6 December 2023 -- 197063 | en_US |
dc.description.abstract | In this study, a combination of a battery energy storage (BES) and a solar photovoltaic (PV) system is proposed to reduce peak demand and energy costs in a commercial building in Malaysia. The sizing of the BES and PV systems is found optimally by considering the net present cost of both systems and energy cost over a 20-year lifespan. Data on solar irradiance, ambient temperature, load patterns, Malaysian power rates, and grid export limitations are used to determine the optimal sizes of the BES and PV systems. The case study indicates that optimal BES and PV systems reduce the energy cost by 17.81% and decrease annual energy consumption by 19.57% and peak demand by 11.72%. 11,449 kWh of energy is exported to the grid. The study provides a general method for commercial building owners in Malaysia to find the BES and PV system sizes optimally. The results are validated and tested using MATLAB. © 2023 IEEE. | en_US |
dc.description.sponsorship | United Arab Emirates University, UAEU | en_US |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
dc.relation.ispartof | 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023 | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Energy management system | en_US |
dc.subject | Energy storage management | en_US |
dc.subject | Grid-connected commercial buildings | en_US |
dc.subject | Rooftop photovoltaic | en_US |
dc.title | Optimizing Battery Energy Storage and Solar Photovoltaic Systems for Commercial Buildings in Malaysia: A Case Study | en_US |
dc.type | Conference Object | en_US |
dc.identifier.doi | 10.1109/ETFG55873.2023.10408468 | - |
dc.identifier.scopus | 2-s2.0-85185790900 | en_US |
dc.department | KTÜN | en_US |
dc.institutionauthor | Abdullah, Q. | - |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.authorscopusid | 57615457400 | - |
dc.authorscopusid | 57189691198 | - |
dc.authorscopusid | 57201266731 | - |
dc.authorscopusid | 57191369036 | - |
dc.authorscopusid | 57209279214 | - |
dc.authorscopusid | 56160088900 | - |
item.fulltext | No Fulltext | - |
item.openairetype | Conference Object | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.languageiso639-1 | en | - |
item.cerifentitytype | Publications | - |
item.grantfulltext | none | - |
Appears in Collections: | Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections |
CORE Recommender
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.