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Energy Performance Assessment of Radiant Cooling System through Modeling and Calibration at Component Level 通过组件级建模和校准评估辐射冷却系统的能源性能
本文描述了一个信息技术办公楼的案例研究,该办公楼同时安装了辐射冷却系统和传统的可变风量(VAV)系统,以便对其性能进行比较。首先,在模拟工具EnergyPlus中开发了建筑物的能量模型。其次,建立了一个基本案例模型来概括辐射供冷系统的节能潜力。本文详细介绍了整个建筑能量模型到组件级别的校准,包括照明、设备和HVAC组件,如冷却器、泵、冷却塔和风扇。整个建筑水平的误差[以平均偏差误差(MBE)测量]为0.2%,均方根误差的变异系数(CvRMSE)为3。 2%. HVAC每小时的总误差为MBE=8.7%和CvRMSE=23.9%,符合ASHRAE指南14(2002)关于每小时校准的标准。通过使用校准后的模型,开发了一个基本情况模型,用于量化辐射冷却系统的节能潜力。结果表明,与传统的变风量空调系统相比,采用DOAS的辐射制冷系统可以节省28%的能源。引用:2016年冬季会议,佛罗里达州奥兰多,会议论文
The paper describes a case study of an information technology office building with a radiant cooling system and a conventional variable air volume (VAV) system installed side by side so that performance could be compared. First, an energy model of the building was developed in EnergyPlus, a simulation tool. Second, a base case model was developed to generalize energy saving potential of radiant cooling system. This paper details the calibration of the whole building energy model to the component level, including lighting, equipment, and HVAC components such as chillers, pumps, cooling towers, and fans. The error at the whole building level [measured in mean bias error (MBE)] is 0.2%, and the coefficient of variation of root mean square error (CvRMSE) is 3.2%. The total errors in HVAC at the hourly are MBE = 8.7% and CvRMSE = 23.9%, which meet the criteria of ASHRAE Guideline 14 (2002) for hourly calibration. A base case model was developed by using the calibrated model for quantifying the energy saving potential of the radiant cooling system. It was found that a radiant cooling system integrated with DOAS can save 28% energy compared with the conventional VAV system.
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