在发生冷却损失或服务器负载变化等瞬态事件后，准确预测数据中心的温度和气流，需要对数据中心的所有热质量源进行足够精确的建模。数据中心中最重要、同时也是最困难的热质量tomodel类型之一是填充设施的服务器。尽管最近提出了用于瞬态应用的服务器的紧凑模型，并对服务器进行了大量实验测量，但没有一种用于估计所需服务器属性的模型或技术成为计算流体动力学（CFD）用户和供应商的事实标准。 本文是活跃于该领域的行业和大学研究人员的合作成果，回顾了迄今为止瞬态服务器建模的进展，并推荐了数据中心社区采用的单一标准紧凑型服务器模型。讨论了通过详细测量以及与服务器质量和尺寸的简单相关性来确定瞬态服务器特性、热容和热效率的技术。示例服务器属性基于两个独立实验室的测量结果提供。最后讨论了服务器对排气温度不确定性的预测。 引文:伊利诺伊州芝加哥ASHRAE交易——第121卷第1部分

Accurate prediction of data center temperatures and airflow following a transient event, such as the loss of cooling or variation in server load, requires that all sources of thermal mass in the data center be modeled with sufficient accuracy. One of the most important and simultaneously difficult-tomodel types of thermal mass in the data center is that of the servers that populate the facility. Although compact models of servers for transient applications have recently been proposed and much experimental measurement of servers undertaken, no one model or technique for estimating required server properties has emerged as the de facto standard for computational fluid dynamics (CFD) users and vendors.This paper, a collaborative effort by industry and university researchers active in the subject field, reviews the progress in transient server modeling to date and recommends a single, standard compact server model to be adopted by the data center community. Techniques for determining the transient server properties thermal capacitance and thermal effectiveness from detailed measurements as well as simple correlations with server mass and size are discussed. Example server properties are provided based on measurements from two independent laboratories. Finally, the sensitivity of server exhaust temperature predictions to uncertainties in server properties is discussed.