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摘 要: 公寓或别墅用小型空冷系统的多个室外冷凝器经常被安装在一个狭小空间内。这时冷凝器之间的距离和冷凝器与壁面间的距离成为影响制冷系统性能的关键因素。本文通过CFD与系统仿真想结合的方法，对此问题进行了分析。比较了三种冷凝器空气侧数值模拟的方法，并与实验值进行了对比，表明应用风扇边界条件的CFD方法不仅简便易于操作而且具有较高的计算精度。将CFD模拟获得的进风参数输入系统模型，进一步分析了壁面-冷凝器距离及冷凝器间距离的安装参数对系统性能的影响。 关键词: 狭小空间 CFD 模拟 空气流动模拟 系统仿真 空气回流 Air Management Modeling Of Condensing Units In A Confined Space And Its Impact On The Chiller System Performance Shi Yuling1 Zhang Chunlu2 1Carrier China Rnbsp; Abstract: The small air cooled chillers that serve an apartment building or residential villa often have the outdoor condensing units installed within a confined space. The installation distance between chiller and wall or between two chillers has significant impact on the chiller performance. In this study, three CFD approaches to condensing unit air management modeling are proposed and compared with each other first. The predicted air flow rates are compared to the test data as well. The comparison shows that the CFD approach with fan boundary definition is the most cost-effective, easy to be implemented, and accurate. Along with the chiller system modeling, a parametric study is further conducted to investigate the effect of wall-chiller distance and chiller-chiller distance on the chiller performance. Keywords: Confined space; CFD model; Air management; System model; Air recirculation 参 考 文 献 1 Chen Q, Srebic J. Application of CFD tools for indoor and outdoor enviroment design [J]. International Journal on Architectural Science, 2000;1(1):14-29 2 Chow TT, Lin Z, Liu JP. Effect of condensing unit layout at building reentrant on split-type air-conditioner performanc [J]. Engergy and Buildings, 2002;34:237-244 3 Chow TT, Lin Z, Yang XY. Placement of condensing units of split-type air-conditioners at low-rise residences [J]. Applied Thermal Engineering, 2002;22:1431-1444 4 Xue H, Xu B, Wu J, et al. Prediction of temperature rise near cndensing units in the confined space of a high-rise building [J]. Builing and Environment, 2007;42:2480-2487 5 Fluent(Inc.), Fluent 6.3 User's Guide. 2006 6 张春路,赵灵晓. 基于部件神经网络模型的制冷系统混合仿真. 见：第六届全国制冷空调新技术研讨会论文集, 武汉, 2010