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Evaluation of air distribution system's airflow performance for cooling energy savings in high-density data centers

机译:评估空气分配系统的气流性能以节省高密度数据中心的冷却能源

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The goal of air management system in high-density data centers is to minimize hot air re-circulation and cold air by-pass in data centers. If successfully implemented, both goals will result in energy savings and enhanced thermal conditions. Air management helps to reduce operating costs by enhancing economizer utilization and improving cooling system efficiency. Metrics play a significant role in providing performance indices, which include Supply/Return Heat Index (SHI/RHI), the rack cooling index (RCI) and the return temperature index (RTI), of air management systems. CFD simulation estimates temperature and airflow in the data center as well as to provide wealth of information to evaluate airflow performance. This study defines four performance metrics that analyzes air management systems. These metrics were computed with CFD modeling of 46 different design alternatives to evaluate the thermal environment in a typical data center module. Advanced and comprehensive evaluation index of cooling efficiency was also derived as well-crafted metrics will undoubtedly play an important role.
机译:高密度数据中心中空气管理系统的目标是最大程度地减少数据中心中的热空气再循环和冷空气旁通。如果成功实现,这两个目标都将节省能源并改善热状况。空气管理通过提高省煤器利用率和提高冷却系统效率来帮助降低运营成本。指标在提供性能指标方面起着重要作用,这些指标包括空气管理系统的供/回热指数(SHI / RHI),机架冷却指数(RCI)和回温指数(RTI)。 CFD仿真可估算数据中心的温度和气流,并提供大量信息以评估气流性能。这项研究定义了分析空气管理系统的四个性能指标。这些指标是使用46种不同设计替代方案的CFD建模计算的,以评估典型数据中心模块中的热环境。还可以得出先进而全面的冷却效率评估指标,因为精心设计的指标无疑将发挥重要作用。

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