An Advanced Energy Efficient Rack Server Design With Distributed Battery Subsystem

Author(s):  
Chun Wang ◽  
Xiaoguang Sun ◽  
Jun Zhang ◽  
Nishi Ahuja

Data centers concern not just energy usage, but also other important overall considerations such as the actual computational work, the energy efficiency and the performance of servers. The server, as one of the key ingredients of a data center, plays an increasingly crucial role in contributing to the overall energy use, especially in cases where the efficiency of the infrastructure has been optimized. Baidu has been exploring the sweet zone between power and performance in efficient rack server design and deployment for their self-built data center energy efficiency optimization from all the aspects. Recent deployment of rack server with distributed backup battery (Li-ion) subsystem (BBS) is one typical example to demonstrate their advanced rack server design for energy efficiency. Compared with lead acid battery based traditional UPS in data center, distributed BBS design in Baidu rack server has an advantage in lower power loss, data center power delivery and topology simplification, data center real estate saving, scalable deployment on demand without overprovision and so on, which overall contributes to a total cost ownership (TCO) reduction on both cap-ex (i.e., power infrastructure investment) and op-ex (i.e., electricity bill). This paper introduces overall architecture and design of Baidu rack server with distributed BBS. Furthermore details energy efficiency design methodology of power peak draw trimming based on workload power characterization; Also the related lab data collection, experiments result, ongoing work and future plan are summarized in the end. This paper also recaps TCO saving points benefiting from distributed BBS design into rack server system.

2021 ◽  
Author(s):  
M.R. Amjath ◽  
◽  
H. Chandanie ◽  
S.D.I.A. Amarasinghe ◽  
◽  
...  

It has been observed that inefficient buildings consume three to five times more energy than efficient buildings. Subsequently, improving the Energy Efficiency (EE) of existing buildings, which account for a significant portion of the energy consumption of the building sector, has become a top priority. Also, Heating, Ventilation, and Air Conditioning (HVAC) and lighting systems typically account for three-quarters of a building's energy consumption. Hence, focus on the energy efficiency improvements associated with these subsystems is entailed to optimise the energy use of buildings in comparison to other energy consumers. Energy Retrofit (ER) is defined as the main approach in improving the energy efficiency of buildings to achieve energy reduction goals. Nevertheless, there is a general lack of awareness regarding ER. Thus, the purpose of this article is to bridge this research gap by critically reviewing the applicable literature on ER. The paper first analysed the role of retrofits in buildings concerning optimising energy performance. The paper also discusses the implementation process of ER, which includes five steps viz. pre-retrofit survey, energy auditing, and performance assessment, identification of suitable and feasible retrofit options, site implementation and commissioning, and validation and verification. Further, different types of ER applicable to HVAC and lighting systems are discussed. In their endeavor to enhance the EE of existing buildings, practitioners could apply the findings of this study, as a basis to understand the available ER types and as a measure to gauge the efficiency of existing buildings, which will facilitate effective decision-making.


Author(s):  
Amip Shah ◽  
Cullen Bash ◽  
Ratnesh Sharma ◽  
Tom Christian ◽  
Brian J. Watson ◽  
...  

Numerous evaluation metrics and standards are being proposed across industry and government to measure and monitor the energy efficiency of data centers. However, the energy use of data centers is just one aspect of the environmental impact. In this paper, we explore the overall environmental footprint of data centers beyond just energy efficiency. Building upon established procedures from the environmental sciences, we create an end-to-end life-cycle model of the environmental footprint of data centers across a diverse range of impacts. We test this model in the case study of a hypothetical 2.2-MW data center. Our analysis suggests the need for evaluation metrics that go beyond just operational energy use in order to achieve sustainable data centers.


Author(s):  
S. A. Nada ◽  
K. E. Elfeky

Effects of server/rack locations and server loading configurations on the thermal performance of data center racks' array are experimentally investigated using a scaled physical model simulating real data. Front and rear rack temperatures profiles, server temperatures, and performance indices supply/return heat index (SHI/RHI) are used to evaluate the thermal management of the racks' array. The results showed that (i) servers located in high level rack cabinet have the worst thermal performance, (ii) middle racks of the rack row showed optimum thermal performance and energy efficiency, and (iii) locating the servers of high power densities in the middle of the racks row improves the thermal performance and energy efficiency of the racks array.


2021 ◽  
Vol 1197 (1) ◽  
pp. 012059
Author(s):  
Sreenivas Muthukumaraswamy kamalakannan ◽  
Sravan Ashwin Ananda Murali ◽  
Mohamed Ansari Raja Abdul Malik ◽  
Nithya Anand Saravanan ◽  
B Vimal Kumar ◽  
...  

Abstract Retrofitting of any given structure is done to improve its strength and performance. In most scenarios, retrofitting is done to improve seismic resilience and performance, however in this investigation retrofitting techniques are utilized to change the functional use of a structure, to be more precise, the agenda is to transform a commercial 10 storey structure into a data center building. In order to encompass the additional load parameters, instead of complete reconstruction, retrofitting solutions are to be adopted, which reduces cost, labor and is very energy and environment conscious. The said structure was modelled using the E-Tabs software, with appropriate load parameters. Furthermore, the altered load parameters for the data center would likewise be examined to understand the extent of failure and would help in indicating the appropriate retrofitting solution to ameliorate the situation. This project is cutting edge in the sense that a sustainable approach in the construction industry is sought to, looking at the need for energy efficiency.


2019 ◽  
Vol 15 (28) ◽  
Author(s):  
Diego Julián Rodríguez Patarroyo ◽  
Iván Felipe Cely Garzón ◽  
Cristhian Alexander Letrado Forero

Introduction: This Literature Review article is the result of a research on the current situation of smart public lighting systems with light-emitting diode (LED) technology in cities around the world. Problem: How convenient is it to use smart public lighting system with LED luminaires? Objective: To review the context of smart public lighting with LED technology. Methodology: Within this project, a lit review was conducted with more than 50 academic articles found in different databases such as: IEEE Xplore, Scopus, ScienceDirect etc. The selection criteria of the information followed the revision of articles from 2006 to 2018, and also, took into account their installation and performance in different cities and places of the world. Furthermore, articles on polluting and inefficient technologies were excluded. Conclusion: Considering the current context in which LED smart public lighting is, it is more likely to be implemented in the future. Results: Smart LED street lighting systems are more efficient in energy use, leads to savings in costs in medium terms, and finally, present a lower environmental impact compared to conventional lighting systems. Limitations: The review focuses on energy efficiency and economic aspects, not on social aspects. Originality: Smart LED public lighting systems have been researched within the economic and energy efficiency context.


Electronics ◽  
2019 ◽  
Vol 8 (2) ◽  
pp. 182 ◽  
Author(s):  
Basit Qureshi ◽  
Anis Koubaa

Energy efficiency in a data center is a challenge and has garnered researchers interest. In this study, we addressed the energy efficiency issue of a small scale data center by utilizing Single Board Computer (SBC)-based clusters. A compact layout was designed to build two clusters using 20 nodes each. Extensive testing was carried out to analyze the performance of these clusters using popular performance benchmarks for task execution time, memory/storage utilization, network throughput and energy consumption. Further, we investigated the cost of operating SBC-based clusters by correlating energy utilization for the execution time of various benchmarks using workloads of different sizes. Results show that, although the low-cost benefit of a cluster built with ARM-based SBCs is desirable, these clusters yield low comparable performance and energy efficiency due to limited onboard capabilities. It is possible to tweak Hadoop configuration parameters for an ARM-based SBC cluster to efficiently utilize resources. We present a discussion on the effectiveness of the SBC-based clusters as a testbed for inexpensive and green cloud computing research.


2018 ◽  
Vol 7 (4.15) ◽  
pp. 315
Author(s):  
Tehmina Karamat Khan ◽  
Mohsin Tanveer ◽  
Asadullah Shah

Industrial and academic communities have been trying to get more computational power out of their investments. Data centers have recently received huge attention due to its increased business value and achievable scalability on public/private clouds. Infra-structure and applications of modern data center is being virtualized to achieve energy efficient operation on servers. Despite of data center advantages on performance, there is a tradeoff between power and performance especially with cloud data centers. Today, these cloud application-based organizations are facing many energy related challenges. In this paper, through survey it has been analyzed how virtualization and networking related challenges affects energy efficiency of data center with suggested optimization strategies. 


2018 ◽  
Author(s):  
Tao Wang ◽  
Yuhua Li ◽  
Huan Liu ◽  
Lei Zhang ◽  
Yuyan Jiang ◽  
...  

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