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Abstract
Satisfying the mobile traffic demand in next generation cellular networks increases the cost of energy supply. Renewable energy sources are a promising solution to power base stations in a self-sufficient and cost-effective manner. This paper presents an optimal method for designing a photovoltaic (PV)-battery system to supply base stations in cellular networks. A systematic approach is proposed for determining the power rating of the photovoltaic generator and battery capacity from a technical and economical point of view in order to minimize investment cost as well as operational expenditure, while the power autonomy of the PV-battery system is maximized in a multi-objective optimization framework. The proposed method is applied to optimally size a photovoltaic-battery system for three cases with different availability of solar power to investigate the effect of environmental conditions. Problem-solving using the proposed approach leads to a set of solutions at different costs versus different levels of power autonomy. According to the importance of each criterion and the preference of decision-makers, one of the achieved solutions can be selected for the implementation of the photovoltaic-battery system to supply base stations in cellular networks.
Originalsprog | Engelsk |
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Artikelnummer | 1895 |
Tidsskrift | Energies |
Vol/bind | 14 |
Udgave nummer | 7 |
Antal sider | 21 |
ISSN | 1996-1073 |
DOI | |
Status | Udgivet - 29 mar. 2021 |
Fingeraftryk
Dyk ned i forskningsemnerne om 'Optimum Sizing of Photovoltaic and Energy Storage Systems for Powering Green Base Stations in Cellular Networks'. Sammen danner de et unikt fingeraftryk.Projekter
- 1 Afsluttet
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PAINLESS: Energy-autonomous Portable Access points for INfrastructure-LESS networks
Javidsharifi, M. (PI (principal investigator)), Kerekes, T. (PI (principal investigator)), Nielsen, J. J. (PI (principal investigator)), Popovski, P. (PI (principal investigator)) & Donevski, I. (PI (principal investigator))
01/10/2018 → 30/09/2022
Projekter: Projekt › Forskning