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<div class="csl-entry">Nazurmetov, A. (2022). <i>Cooling energy saving mechanisms for Data Centers</i> [Master Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2022.103536</div>
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dc.identifier.uri
https://doi.org/10.34726/hss.2022.103536
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http://hdl.handle.net/20.500.12708/20605
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dc.description.abstract
Globally, data centers' energy requirements are expanding at a fast pace, asare their environmental and economic impacts. Typically, data centers are quite anenergy hungry. The annual cost of powering a big data center, including computers and cooling equipment, may be approximately $4 million. Energy prices may account for up to 60% of operational costs. According to recent research from the Department of Energy's Lawrence Berkeley National Laboratory, data centers in the United States use a significant amount of energy – around 70 billion kilowatt-hours each year. The electrical energy consumption for data centers in Germany is 16 billion kilowatt-hours per year – up 8% over the previous year in 2020. This increase is mostly attributable to the rapid rise of cloud computing capability. The energy used directly by servers is just one aspect of the picture. Almost every unit of energy used by a server is converted to heat in the building in which it is located, requiring air-conditioning systems to work harder than they would otherwise. Because ITsystems often emit large amounts of heat and have a high need for temperature and humidity management in data centers, a cooling and air conditioning system is required. According to a recent study, refrigeration, and air conditioning systems account for around 40% of overall data center power use. As a result, decreasing the energy consumption of the air conditioning system is critical for overall datacenter energy efficiency.This thesis describes in detail the cooling systems used in the data center’s industry, as well as the modern immersion cooling system. A comparative analysis of the effectiveness of immersion cooling in comparison with the traditional aircooled system is conducted. On the example of a real data center, metrics analyzes in detail, showing how effectively the data center is optimized. The last chapter provides in detail the waste heat recuperation technology.This thesis provides practical information to the data center engineers regarding the cooling system design and supports them to achieve better cooling energy efficiency.