基于可再生能源的混合能源绿色数据中心成本评估

Md Shamimul Islam, Abu Jahid, Atiqul Islam, Sharif, Md. Anwar Sadath, Md. Kamrul Hasan Monju
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引用次数: 8

摘要

在过去的几十年里,网络物理系统(CPS)下的绿色数据中心(GDC)领域的研究兴趣急剧上升。信息通信技术(ICT)需求的过度膨胀和巨大的互联网数据服务需求导致数据中心数量的增加,导致GDC的电力消耗巨大。因此,减少能源消耗以及最低的电力成本(COE)和期望的服务质量(QoS)已被确定为ICT部门一个令人兴奋的研究主题。本文提出了一个能源可持续的混合电源解决方案,为GDC努力减少电网的电力使用和燃料消耗,在10年的项目持续时间内以最小的净当前成本(NPC)。拟议的框架采用可再生能源(RE),如风力涡轮机(WT)和太阳能光伏(PV)阵列,以及柴油发电机(DG)等不可再生能源,并配有足够的电池单元。采用可再生电力混合优化模型(HOMER)软件,对多种CPS场景下的优化系统设计架构及相应的能源评估、成本评估和碳足迹分析进行了广泛的仿真。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Renewable Energy Aware Cost Assessment for Green Data Center with Hybrid Energy Sources
The skyrocketing research interest in the area of green data center (GDC) under the cyber-physical system (CPS) has been emerging over the last few decades. The over expanding need of information communication technology (ICT) and gigantic internet data service demand has led to an increase in the number of data center results a massive electrical energy expenditure for GDC. Therefore, reduction of energy consumption as well as the minimum cost of electricity (COE) with the desired quality of service (QoS) has been identified as an exciting research topic in the ICT sector. This paper proposes an energy sustainable hybrid power supply solution for the GDC endeavoring to curtail grid electricity usage and fuel consumption with the least possible net present cost (NPC) over the project duration of 10 years. The proposed framework is fed with both renewable energy (RE) sources such as wind turbine (WT) and solar photovoltaic (PV) array and non-renewable energy sources such as diesel generator (DG) in conjunction with adequate battery units. A hybrid optimization model for electric renewables (HOMER) software adopted to carry out an extensive simulation concentrating in optimum system design architecture and corresponding energy evaluation, cost assessment and carbon footprint analysis under a wide range of CPS scenarios.
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