Optimal Design of a Hybrid Solar PV/BG-Powered Heterogeneous Network

The increased penetration of renewable energy sources (RESs) along with the rise in demand for wireless communication had led to the need to deploy cellular base stations powered by locally accessible RESs. Moreover, networks powered by renewable energy sources have the ability to reduce the costs o...

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Bibliographic Details
Published in:Sustainability 2022-02, Vol.14 (4), p.2201
Main Authors: Hossain, Md. Sanwar, Islam, Khondoker Ziaul, Alharbi, Abdullah G., Shafiullah, Md, Islam, Md. Rabiul, Fekih, Afef
Format: Article
Language:English
Subjects:
Alternative energy sources
Computer architecture
Dynamic characteristics
Electric power generation
Emissions
Energy consumption
Energy efficiency
Energy sources
Energy storage
Greenhouse effect
Greenhouse gases
Latency
Network latency
Optimization
Photovoltaics
Power consumption
Power management
Quality of service
Radio equipment
Renewable energy sources
Sustainability
Wireless communications
Wireless networks
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Summary:The increased penetration of renewable energy sources (RESs) along with the rise in demand for wireless communication had led to the need to deploy cellular base stations powered by locally accessible RESs. Moreover, networks powered by renewable energy sources have the ability to reduce the costs of generating electricity, as well as greenhouse gas emissions, thus maintaining the quality of service (QoS). This paper examines the techno-economic feasibility of developing grid-tied solar photovoltaic (PV)/biomass generator (BG)-powered heterogeneous networks in Bangladesh, taking into account the dynamic characteristics of RESs and traffic. To guarantee QoS, each macro and micro-base station is supplied through a hybrid solar PV/BG coupled with enough energy storage devices. In contrast, pico and femto BSs are powered through standalone solar PV units due to their smaller power rating. A hybrid optimization model for electric renewables (HOMER)-based optimization algorithm is considered to determine the optimum system architecture, economic and environmental analysis. MATLAB-based Monte-Carlo simulations are used to assess the system’s throughput and energy efficiency. A new weighted proportional-fair resource method is presented by trading power consumption and communication latency in non-real-time applications. Performance analysis of the proposed architecture confirmed its energy efficiency, economic soundness, reliability, and environmental friendliness. Additionally, the suggested method was shown to increase the battery life of the end devices.
ISSN:2071-1050
2071-1050
DOI:10.3390/su14042201