近年来，在北美，使用主动冷却梁进行制冷和制热应用引起了人们的极大兴趣，因为其优点包括更容易与天花板集成、更低的空气流量、更少的管道系统和更低的成本。主动激冷梁的最佳性能取决于许多因素，如其布置、一次送风流量、混合空气抛射角和有效的诱导空气机制。传统的一维计算很难实现主动激冷梁的设计优化，而且对许多设计变量进行实验测试成本高昂。计算流体力学（CFD）为主动冷却梁系统提供了经济高效且精确的设计优化工具。 使用CFD的一个关键限制是采用经验湍流建模方法，如单方程或双方程雷诺平均Navier-Stokes（RANS）。大涡模拟（LES）通过适当的流动解析计算网格，可以更准确地预测这种情况下的流动分布。在目前的工作中，高保真大涡模拟用于分析典型办公空间应用的主动冷却梁设计。首先用现有的实验数据验证了计算建模方法。通过对两个实验结果的比较，说明了RANS建模方法的局限性。CFD模型包括浮力和人体模型、笔记本电脑、灯具等的典型热负荷。 创建了几个CFD建模场景，并进行了模拟，以了解假设对结果的影响。最后，根据热舒适性和通风风险等指标，分析流动结构，以评估使用主动冷却梁的建筑环境中的冷却性能。诱导率（IR）由LES准确预测，而RANS预测的IR与实验数据相比误差在8%以内。LES模型较好地捕捉了详细的流动结构和射流宽度。结果还证实了办公空间的无风降温。引文:2018年冬季会议，伊利诺伊州芝加哥，会议论文

Use of active chilled beams for cooling and heating applications has drawn significant interests in North America in recent years due to its benefits such as easier integration with ceiling, lower air-flow, less ductwork and lower cost. The optimal performance of active chilled beams is dependent on many factors such as its placement, primary supply air-flow, mixed-air throw angle, and effective induced air mechanism. The design optimization of an active chilled beam is difficult to achieve with conventional one-dimensional calculations, and performing experimental tests for many design variables is cost-prohibitive. Computational fluid dynamics (CFD) offers cost-effective and accurate design optimization tool for active chilled beam systems. One critical limitation of using CFD is employing empirical turbulence modeling approach like one-equation or two-equation Reynolds-averaged Navier-Stokes (RANS). Large eddy simulation (LES), with proper flow-resolving computational grids, can provide more accurate prediction of flow distribution in such scenarios. In the present work, high fidelity large eddy simulations are carried out to analyze active chilled beam design for a typical office space application. The computational modeling approach is first validated with available experimental data. The limitation of two-equation RANS modeling approach is illustrated by comparing results with LES and published experimental data. The CFD model includes buoyancy, and typical heat loads for manikins, laptops, lights etc. Several CFD modeling scenarios are created and simulations performed for understanding the impact of assumptions on results. Finally, flow structures are analyzed to assess the cooling performance in built environment using active chilled beams, based on metrics like thermal comfort and draft risk. The induction ratio (IR) was accurately predicted by LES while RANS predicted IR within 8% error, when compared to experimental data. LES model captured the detailed flow structures and jet width relatively better. Results also confirmed draftless cooling of the office space.