Design and Analysis of Sustainable Green Data Center with Hybrid Energy Sources

Development of renewable energy (RE) and mitigation of carbon dioxide, as the two largest climate action initiatives are the most challenging factors for new generation green data center (GDC). Reduction of conventional electricity consumption as well as cost of electricity (COE) with preferred quality of service (QoS) has been recognized as the interesting research topic in Information and Communication Technology (ICT) sector. Moreover, it becomes challenging to design a large-scale sustainable GDC with standalone RE supply. This paper gives spotlight on hybrid energy supply solution for the GDC to reduce grid electricity usage and minimum net system cost. The proposed framework includes RE source such as solar photovoltaic, wind turbine and non-renewable energy sources as Disel Generator (DG) and Battery. A hybrid optimization model is designed using HOMER software for cost assessment and energy evaluation to validate the effectiveness of the suggested scheme focusing on eco-friendly implication.

Security and Optimization Challenges of Green Data Centers

Energy consumption in data centers has grown out of proportion in regard to the state of energy that’s available in the universe. Technology has improved services and its application. The need for eco-friendly energy and increase in data centers performance brought about Green Computing into the energy consumption of data centers. Information technology has grown and eaten deep into the society that almost all the sectors if not all are dependent on information technology to move on. The consumption of power has increased greatly. In this research paper the techniques for optimizing energy in data centers for Green Computing would be discussed. This study intends to expose the limitations of existing security solutions for securing data centers by taking into consideration of limitations of existing security frameworks that cannot enhance the security of data centers.

Thermal-aware relocation of servers in green data centers

Rise in inlet air temperature increases the corresponding outlet air temperature from the server. As an added effect of rise in inlet air temperature, some active servers may start exhaling intensely hot air to form a hotspot. Increase in hot air tem- perature and occasional hotspots are an added burden on the cooling mechanism and result in energy wastage in data centers. The increase in inlet air temperature may also result in failure of server hardware. Identifying and comparing the thermal sensi- tivity to inlet air temperature for various servers helps in the thermal-aware arrangement and location switching of servers to minimize the cooling energy wastage. The peak outlet temperature among the relocated servers can be lowered and even be homogenized to reduce the cooling load and chances of hotspots. Based upon mutual comparison of inlet temperature sensitivity of heterogeneous servers, this paper presents a proactive approach for thermal-aware relocation of data center servers. The experimental results show that each relocation operation has a cooling energy saving of as much as 2.1 kW·h and lowers the chances of hotspots by over 77%. Thus, the thermal-aware relocation of servers helps in the establishment of green data centers.

Towards Attaining Reliable and Efficient Green Cloud Computing Using Micro-Smart Grids to Power Internet Data Center

Energy generation and consumption are the main aspects of social life due to the fact that modern people’s necessity for energy is a crucial ingredient for existence. Therefore, energy efficiency is regarded as the best economical approach to provide safer and affordable energy for both utilities and consumers, through the enhancement of energy security and reduction of energy emissions. One of the problems of cloud computing service providers is the high rise in the cost of energy, efficiency together with carbon emission with regards to the running of their internet data centres (IDCs). In order to mitigate these issues, smart micro-grid was found to be suitable in increasing the energy efficiency, sustainability together with the reliability of electrical services for the IDCs. Therefore, this paper presents idea on how smart micro-grids can bring down the disturbing cost of energy, carbon emission by the IDCs with some level of energy efficiency all in an effort to attain green cloud computing services from the service providers. In specific term, we aim at achieving green information and communication technology (ICT) in the field of cloud computing in relations to energy efficiency, cost-effectiveness and carbon emission reduction from cloud data center’s perspective.

Scalability of the DVFS Power Management Technique as Applied to 3-Tier Data Center Architecture in Cloud Computing

The increase in computing capacity caused a rapid and sudden increase in the Operational Expenses (OPEX) of data centers. OPEX reduction is a big concern and a key target in modern data centers. In this study, the scalability of the Dynamic Voltage and Frequency Scaling (DVFS) power management technique is studied under multiple different workloads. The environment of this study is a 3-Tier data center. We conducted multiple experiments to find the impact of using DVFS on energy reduction under two scheduling techniques, namely: Round Robin and Green. We observed that the amount of energy reduction varies according to data center load. When the data center load increases, the energy reduction decreases. Experiments using Green scheduler showed around 83% decrease in power consumption when DVFS is enabled and DC is lightly loaded. In case the DC is fully loaded, in which case the servers’ CPUs are constantly busy with no idle time, the effect of DVFS decreases and stabilizes to less than 10%. Experiments using Round Robin scheduler showed less energy saving by DVFS, specifically, around 25% in light DC load and less than 5% in heavy DC load. In order to find the effect of task weight on energy consumption, a set of experiments were conducted through applying thin and fat tasks. A thin task has much less instructions compared to fat tasks. We observed, through the simulation, that the difference in power reduction between both types of tasks when using DVFS is less than 1%.

综合考虑内外生不确定性的绿色数据中心多域资源协同规划方法

数字经济下,发展以“高能源效率、低环境影响”为主要特征的绿色数据中心(green data center,GDC)是应对碳中和挑战和促进社会可持续发展的重要举措。如何科学配置供需侧资源,在满足服务质量约束的前提下,充分利用数据用户的互动响应潜力促进系统提质增效,是未来公有型GDC规划面临的难点。为此,该文基于信息-物理-社会耦合视角,在深入分析不同类型数据负载运行特性的基础上,引入后悔度匹配方法模拟数据用户参与GDC需求响应(GDC demand response,GDC-DR)意愿的中长期动态演化。基于动态预想场景,综合考虑数据用户参与GDC-DR意愿等内生不确定性和可再生能源发电出力、数据负载需求等外生不确定性的影响,提出一种GDC多域资源协同规划模型。模型以系统综合效益最大化为目标,同时考虑设备运行、服务质量等多域约束,通过对GDC设备容量、需求响应激励价格以及各预想场景下系统运行策略进行协同优化,以充分发掘数据负载灵活性潜力,实现系统经济性和碳中和效益的综合趋优。算例仿真结果验证了该文所提模型和方法的有效性。

云计算环境下的绿色数据中心网络优化与资源管理

在云计算快速发展的今天,绿色数据中心成为了降低能源消耗和环境影响的关键。本文探讨了在云计算环境下,如何通过网络优化与资源管理实现数据中心的绿色转型。通过分析现有的网络架构和资源调度机制,本文提出了一系列优化策略,旨在提高能效比和资源利用率,减少碳排放,为数据中心的绿色化转型提供理论依据和实践指导。

张家口集群数据中心绿色发展现状及路径分析

为实现“双碳”目标,推动绿色、低碳发展,介绍张家口集群数据中心的产业规模、政策支持、产业布局等发展现状。在此基础上,分析了张家口集群数据中心的绿色发展优势,包括政策支撑、区位气候、绿电资源、基础设施、产业覆盖全等方面,并结合政策支持、标准引领、开展算力调度等维度提出了绿色发展路径建议。

绿色数据中心发展研究综述

围绕数据中心全生命周期管理,聚焦节能减碳与能效提升,分析绿色数据中心等级评估体系的演进,总结从规划设计到建造运营的一系列促进数据中心绿色转型、节能提效的创新措施。最后展望绿色数据中心运营AI化发展方向和总体拥有成本优化。

数据中心蒸气压缩-吸收式复合制冷系统工质对选取研究

利用绿电进行蓄热作为驱动热源,提出一种数据中心蒸气压缩-吸收式复合制冷系统,建立系统数学模型,模拟研究不同工质对(NH_(3)/H_(2)O,NH_(3)/LiNO_(3),NH_(3)/NaSCN,R32/DMF,R134a/DMF和R600a/noctane)对吸收式制冷模式性能系数和绿电消纳能力的影响。结果表明,在不同工况下,采用NH3/LiNO_(3)工质对时吸收式制冷模式性能系数最高,在0.496~0.635;在设计工况下,采用NH_(3)/LiNO_(3)工质对时系统绿电能效系数COPG和绿电消纳能力系数COGP最大,分别为0.833和2.307。考虑到吸收式制冷能效和绿电消纳能力,NH_(3)/LiNO_(3)工质对是更适合复合制冷系统的工质对。

数据中心的光伏储能一体化绿色能源转型

随着数字化时代的来临,数据中心的能源消耗迅速增加,导致环境和能源压力日益严重。为实现可持续发展,数据中心绿色能源转型成为重点。文章探讨光伏储能一体化解决方案在数据中心绿色能源转型中的应用,通过阐述光伏发电技术和储能技术的原理与特点,提出了基于光伏储能一体化的数据中心绿色能源转型策略,并探讨了系统设计、能源互联、智能控制、经济效益以及环境影响等方面。此外,分析了实施过程中可能出现的问题与挑战,并提出了相应的解决方案与优化策略。通过深入研究,为推动数据中心的可持续发展提供了有力支持。

数据中心机电工程BIM技术应用初探

基于信息通信行业绿色低碳发展要求,引入建筑信息模型(BIM)概念;从国家、省、市层面列举工程设计领域BIM的应用概况,并给出机电BIM设计总流程;介绍BIM技术融入机电设计的方式;以某数据中心机电工程项目为例,对比分析三维BIM设计与二维CAD设计的区别;最后,总结BIM技术在数据中心机电工程应用的实践意义,并提出当前BIM技术在数据中心机电工程建造应用中还存在的若干问题。

浙江数据中心绿色升级的问题与对策

为提升数字化在新型基础设施建设中的高度,以浙江数据中心为参照对象,从数据中心与数字经济的内在机理,系统分析浙江数据中心绿色升级的发展机制、现状与问题,从数据中心的运作机制和绿色升级必要性两方面,揭示数据中心绿色发展与数字经济创新的内在逻辑,并进一步对数据中心绿色升级面临的问题进行了分析。研究发现,浙江省在数据中心绿色发展过程中主要存在区域布局不均衡、绿色治理不健全、绿色价值挖掘不充分的问题,围绕上述问题对下一步加快数据中心绿色升级提出政策建议。

基于绿色数据中心的数字化循环农业研究——理论、架构及展望

基于循环农业数字化转型的现实背景,对绿色数据中心的定义、标准及研究进行了梳理,报告了我国绿色数据中心的发展现状,论证了绿色数据中心作为通用目的技术具有渗透性,并以北京留民营生态农场为案例,揭示了其经营发展中面临的现实问题,开展了基于绿色数据中心数字化循环农业的技术架构研究,得到了“大循环”与“小循环”嵌套式的数字化循环农业框架,这一框架可以帮助农场降低技术成本、保护数据安全、实现数据管理智能化,并解决有机蔬菜以次充好、抗生素残留、生产流程不规范等经营性问题,总结了研究的不足,提出利用数据中心开发平台进行工程实践、丰富农业场景案例库、强化概念内涵辨析、采用跨学科理论融合的研究展望。

西藏高原大型绿色数据中心发展潜力及问题分析

大型数据中心作为数据产业技术创新与应用的重要载体,近年来呈高速增长趋势,但其巨大的电力需求也带来了极大的用电负担。本文介绍了我国大型数据中心总体分布情况,重点分析了西藏高原全年平均气温低、空气洁净度高、气候干燥、可再生能源资源丰富等特殊条件在大型数据中心绿色节能运行方面的先天优势;进一步探讨了在西藏高原建设大型绿色数据中心需要克服的一些问题,为大型绿色数据中心的发展和布局及在西藏高原的适应性设计提供一定参考。

数据中心建设内容及优化方法研究

目前,数据中心已经与5G技术等共同形成了我国信息基建的关键部分.在此背景下,国家大数据中心不再是传统意义上的网络设备机房场地,更多的是反映绿色节能等创新发展理念的公共计算基础设施的一部分,是推动5G、人工智能、工业网络以及云计算等新型技术蓬勃发展的重要数据中心和算力载体.数据中心已然成为新一代人工智能、虚拟现实以及大数据领域的重要发展基础,与人们的日常生活息息相关,通过研究数据中心建设内容与优化方法,以供参考.

关于数据中心绿色发展的探讨

近年来,我国数据中心的规模和能耗总量不断壮大,数据中心的绿色发展已成为行业共识。本文在对数据中心能耗分析及绿色数据中心建设工作总结的基础上,对数据中心绿色发展存在的问题进行了探讨,并提出了相关解决建议。

绿色低碳化发展视角下数据中心电算网融合分析

结合数据中心产业发展情况,从算力产生到使用的全流程视角入手,分析数据中心产业使用可再生能源电力、推行多元化评价指标、提高计算平台资源利用效率等热点问题的发展现状和需要关注的重点方向;总结数据中心算网和电网绿色低碳一体化融合的现状与趋势,并提出展望。

浅析数据中心电气系统节能设计

数据中心是否可以平稳安全的运行和低压配电系统有着直接关联性,本文根据数据中心低压配电系统的节能设计,从设计需求及思路入手,详细论证电源配电系统、防雷接地系统、空调配电、安防、照明等多个系统的设计方式,为数据中心电气系统节能设计提供帮助。

数据中心新型保温技术的探索和实践

随着国家科技的发展,数据中心产业发展迅速。根据国家公共建筑节能设计有关标准,绿色数据中心的建设逐渐成为未来数据中心建设势在必行,绿色数据中心建设理念贯穿于全寿命投资的各个方面。该文从数据中心建设节能总体出发,通过实际案例分析研究,并有效提升节能增效技术与新材料的创新及应用,希望能够为国家公共建筑和数据中心建设施工提供借鉴和参考。