Abstract
Cellular mobile technology has witnessed tremendous growth in recent times. One of the challenges facing the operators to extend the coverage of the networks to meet the rising demand for cellular mobile services is the power sources used to supply cellular towers with energy, especially in remote. Thus, switch from the conventional sources of energy to a greener and sustainable power model became a target of the academic and industrial sectors in many fields; one of these important fields is the telecommunication sector. Accordingly, this study aims to find the optimum sizing and techno-economic investigation of a solar photovoltaic scheme to deploy cellular mobile technology infrastructure cleanly and sustainably. The optimal solar-powered system is designed by employing the energy-balance procedures of the HOMER software tool. The problem objective is considered in terms of cost, but the energy system is constrained to meet the power demand reliably. Process simulations were performed to determine the optimum sizing, performance and monetary cost of the power system, using long-term meteorological datasets for a case study site with defined longitude (31◦ 25´ E) and latitude (30◦ 06´ N). From the observed results, the total net present cost (NPC) of the proposed system is $28,187. Indeed, these outcomes can provide profound economic, technical, and ecological benefits to cellular operators. It also ensures a sizeable reduction in greenhouse gas that supports sustainable green wireless network (WN) deployment in remote areas.
Original language | English |
---|---|
Pages (from-to) | 3243-3255 |
Number of pages | 13 |
Journal | Computers, Materials and Continua |
Volume | 71 |
Issue number | 2 |
Early online date | 7 Dec 2021 |
DOIs | |
Publication status | Published - 2022 |
Externally published | Yes |
Keywords
- Green communications
- Green wireless networks
- OPEX
- Sustainability
- Wireless networks
ASJC Scopus subject areas
- Biomaterials
- Modelling and Simulation
- Mechanics of Materials
- Computer Science Applications
- Electrical and Electronic Engineering