Abstract
Data centers are widely recognized for demanding many energy resources. The greater the computational demand, the greater the use of resources operating together. Consequently, the greater the heat, the greater the need for cooling power, and the greater the energy consumption. In this context, this article aims to report an industrial experience of achieving energy efficiency in a data center through a new layout proposal, reuse of previously existing resources, and air conditioning. We used the primary resource to adopt a cold corridor confinement, the increase of the raised floor’s height, and a better direction of the cold airflow for the aspiration at the servers’ entrance. We reused the three legacy refrigeration machines from the old data center, and no new ones were purchased. In addition to 346 existing devices, 80 new pieces of equipment were added (between servers and network assets) as a load to be cooled. Even with the increase in the amount of equipment, the implementations contributed to energy efficiency compared to the old data center, still reducing approximately 41% of the temperature and, consequently, energy-saving.
Highlights
The evolution of computational resources has allowed the emergence of a set of applications in the most diverse platforms, such as web, desktop, mobile, and application contexts, such as finance management [1,2], privacy and safety [3], health [4,5], education [6], smart cities [7,8], smart homes [9], and smart things [10].Things that could not be processed on a personal computer 20 years ago can currently be processed by a micro-chip available in a smartwatch or an appliance
The results demonstrate a significant reduction of 46% of the temperature inside the data center, reducing from 25 to 14 oC on average, only using legacy CRACs (Computer Room Air Conditioning) and maintaining good cooling performance, with a high index of cooling
Different from the previously mentioned works, this work aimed to report the experience of optimizing energy efficiency in a data center through the reuse of legacy equipment and the alteration of the layout
Summary
The evolution of computational resources has allowed the emergence of a set of applications in the most diverse platforms, such as web, desktop, mobile, and application contexts, such as finance management [1,2], privacy and safety [3], health [4,5], education [6], smart cities [7,8], smart homes [9], and smart things [10].Things that could not be processed on a personal computer 20 years ago can currently be processed by a micro-chip available in a smartwatch or an appliance. Given the large set of applications, data sources, and online services, the demand for data processing and storage resources has been increasing, and there is a lack of large data centers. One of the reasons for the increase is related to the fact that telecommunications providers are investing in optimizing broadband in several locations. Another indication is that government agencies drive initiatives to develop smart cities and the digital economy’s growth
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