数据中心地热冷却

Mojtaba Zabihi, Ri Li, Sai Ram Chanduri, Ali Reza Pak Nezhad
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引用次数: 0

摘要

尽管地热供暖和制冷系统被广泛用于满足商业和住宅需求,但它们在数据中心制冷方面的应用却非常有限。由于没有加热回路,土壤热阻抗高,并且需要持续冷却,地热系统在满足数据中心的冷却需求方面面临重大挑战。考虑到这些限制,本文研究了为250kw数据中心开发地热冷却系统的可能性。所提出的冷却模式利用地下作为散热器,热量从服务器室无情地传递到地下。安装在机架层的空气-水热交换器,将服务器室的热空气与地下地热井系统循环的冷水进行热量交换。建立了一个数值模型来分析这一排热过程,重点研究了地热井系统的热性能。在稳态和暂态条件下对系统进行了分析。采用解析方法研究了系统的热稳态,采用数值方法研究了系统的瞬态。结果表明,由于土壤的高热阻,在稳态条件下运行系统是不可行的。同时,这也暗示了单井的热量传递是微不足道的,因此,开发了一个多地热井系统。利用该井系统的热性能来推断开发数据中心地热冷却解决方案的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Geothermal Cooling for Data Centers
Though geothermal heating and cooling systems are widely used to cater the commercial and residential needs, their use in data center cooling is highly limited. Due to the absence of a heating loop, high thermal impedance of the soil, and the continuous need for cooling, geothermal systems have significant challenges to serve the data center cooling needs. Considering these limitations, this paper investigates the possibility of developing a geothermal cooling system for a 250 kW data center. The proposed cooling model utilizes underground as a heat sink, and the heat is transferred from the server room to the underground relentlessly. Air-water heat exchangers installed at the rack-level, exchange the heat between the hot server room air and the cold water circulated from the underground geothermal well system. A numerical model is developed to analyze this heat rejection process, with the focus on the thermal performance of the geothermal-well system. This system is analyzed under steady-state and transient conditions. An analytical approach is used to study the thermal steady state of the system, and a numerical approach is used for the transient state. The results suggest that it is not feasible to operate the system under steady-state conditions, due to the high thermal resistance of the soil. Also, they imply that the heat transferred through a single well is insignificant, and hence, a multiple geothermal well system is developed. The thermal performance of this well system is used to infer the feasibility of developing a geothermal cooling solution for data centers.
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