技术
- 传感器 - 空气污染传感器
- 传感器 - 环境传感器
适用行业
- 建筑物
- 铁路与地铁
适用功能
- 采购
- 产品研发
用例
- 港口自动化
- 虚拟现实
服务
- 系统集成
关于客户
本案例研究中的客户是中央车站 (GCT),它是 MTA 北方铁路的主要枢纽,也是美国第二大通勤铁路,GCT 每个工作日为大约 240,000 名客户提供服务,每年为大约 7000 万次服务。该航站楼于 1913 年启用,并于 1997 年进行了耗资 1.75 亿美元的修复工程。作为修复的一部分,GCT 大厅现在通向“火车棚”,这是曼哈顿最大的地下结构之一,由两层 30 个站台组成。由于车棚面积较大且空调设备广泛使用,因此面临着严峻的通风挑战。
挑战
大中央车站 (GCT) 是 MTA 北方铁路的主要枢纽,其列车棚是曼哈顿最大的地下建筑之一,在通风方面面临着重大挑战。占地 250 万平方英尺的火车棚早在空调出现之前就已设计,空调设备的广泛使用为设施增加了废热。现有的通风由人行道格栅和一些小通风井提供,对于大面积的车棚来说是不够的。在夏季,地面温度通常比环境温度高 15 华氏度。之前改善通风的尝试成本高昂且效果不佳。 Hatch Mott McDonald (HMM) 是一家提供全方位服务的工程公司,受聘使用计算流体动力学 (CFD) 进行初步研究,以了解当前的通风条件以及近年来发生的变化的影响。
解决方案
HMM 采用 ANSYS 的 CFX 软件作为该项目的 CFD 建模工具。为了减少计算需求,HMM 为列车棚的上层和下层创建了两个独立的模型,将每个模型的结果视为另一个模型的边界条件。该模型经过改进,包含了热源,例如火车、火车上的空调以及列车棚上方建筑物的热惯性。通过将其预测与平台沿线的温度和湿度测量值进行比较,对该模型进行了验证。 CFX 软件使工程师能够评估各种潜在设计改进的成本和收益,从而能够从可用于改善通风的资金中获得最大收益。该模型出色的相关性增强了人们对 CFD 分析的信心,并最终获得了价值 230 万美元的新通风系统合同。
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