Energy performance of off-grid green cellular base stations

IF 1 4区计算机科学 Q4 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Performance Evaluation Pub Date : 2024-06-10 DOI:10.1016/j.peva.2024.102426

Godlove Suila Kuaban , Erol Gelenbe , Tadeusz Czachórski , Piotr Czekalski , Valery Nkemeni

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Abstract

The most energy-hungry parts of mobile networks are the base station sites, which consume around $60 - 80 %$ of their total energy. One of the approaches for relieving this energy pressure on the electricity grid infrastructure and reducing the Operational Expenditures (OPEX) is to power base stations with renewable energy. However, the design of a green mobile network requires the dimensioning of the energy harvesting and storage systems through the estimation of the network’s energy demand. Therefore, this paper develops a diffusion-based modelling framework for solar-powered green off-grid base station sites. We apply this framework to evaluate the energy performance of homogeneous and hybrid energy storage systems supplied by harvested solar energy. We present the complete analysis, with numerical examples, to study the relationship between the design parameters and the energy performance metrics. The numerical computations demonstrate how the proposed framework can be applied to evaluate homogeneous and unconventional hybrid energy storage systems.

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离网绿色蜂窝基站的能源性能

移动网络中最耗能的部分是基站，其能耗约占总能耗的 60-80%。缓解电网基础设施的能源压力并降低运营支出（OPEX）的方法之一是利用可再生能源为基站供电。然而，绿色移动网络的设计需要通过估算网络的能源需求来确定能量收集和存储系统的尺寸。因此，本文为太阳能供电的绿色离网基站站点开发了一个基于扩散的建模框架。我们应用这一框架来评估由太阳能收集提供能量的均质和混合储能系统的能量性能。我们以数值实例介绍了完整的分析方法，以研究设计参数与能源性能指标之间的关系。数值计算证明了所提出的框架可用于评估同质和非常规混合储能系统。

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来源期刊

Performance Evaluation 工程技术-计算机：理论方法

CiteScore

3.10

自引率

0.00%

发文量

审稿时长

24 days

期刊介绍： Performance Evaluation functions as a leading journal in the area of modeling, measurement, and evaluation of performance aspects of computing and communication systems. As such, it aims to present a balanced and complete view of the entire Performance Evaluation profession. Hence, the journal is interested in papers that focus on one or more of the following dimensions: -Define new performance evaluation tools, including measurement and monitoring tools as well as modeling and analytic techniques -Provide new insights into the performance of computing and communication systems -Introduce new application areas where performance evaluation tools can play an important role and creative new uses for performance evaluation tools. More specifically, common application areas of interest include the performance of: -Resource allocation and control methods and algorithms (e.g. routing and flow control in networks, bandwidth allocation, processor scheduling, memory management) -System architecture, design and implementation -Cognitive radio -VANETs -Social networks and media -Energy efficient ICT -Energy harvesting -Data centers -Data centric networks -System reliability -System tuning and capacity planning -Wireless and sensor networks -Autonomic and self-organizing systems -Embedded systems -Network science