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现行 OR-16-C055
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Off-Normal Solar-Optical Performance of Pleated Drapery: Simulation Versus Measurement 褶皱窗帘的非正常太阳光学性能:模拟与测量
近年来,在带遮阳附件的开窗建模方面取得了重大进展。通过控制太阳能增益,大多数遮阳设备在降低峰值建筑冷负荷和年能耗方面具有巨大潜力,量化其影响的能力非常重要。作为ASHRAE赞助的一个研究项目的一部分,为各种类型的遮阳设备开发了几种新模型。其中最复杂的是褶皱褶皱模型。该模型使用非正常太阳光学织物特性来预测褶皱窗帘的非正常太阳光学特性。在此过程中,该模型假设系统可以表示为一系列均匀排列的矩形褶皱。本文的工作旨在验证模型性能。广域照明积分球(BAI)- IS)用于对褶皱褶皱样品进行太阳透过率测量。BAI-IS能够测量厚且不均匀样品的光学特性。测量中使用了五个由不同透光率和反射率的织物组成的褶皱悬垂样品。结果与不同入射角的模型输出进行了比较。预测透射率通常在测量值的±0.05范围内,尽管对于高透射率测试样品的正常入射测试案例,可能存在高达+0.11的过度预测。这种差异可归因于模型和试样之间的几何差异。引用:2016年冬季会议,佛罗里达州奥兰多,会议论文
In recent years, significant advances have been made in modeling fenestration with shading attachments. Most shading devices have great potential for reducing both peak building cooling load and annual energy consumption through the control of solar gains, and the ability to quantify their impact is important. As part of an ASHRAE sponsored research project, several new models were developed for various types of shading devices. One of the most complex of these was the pleated drapery model. This model uses off-normal solar-optical fabric properties to predict the off-normal solar-optical properties of the pleated drapery. In doing so, the model assumes that the system could be represented as a series of uniformly arranged rectangular pleats. The work presented here aims to validate model performance. A Broad-Area Illumination Integrating Sphere (BAI-IS) was used to perform solar transmittance measurements on pleated drape samples. The BAI-IS is capable of measuring optical properties of thick and non-uniform samples. Five pleated drape samples composed of fabrics with different transmittance and reflectance were used in measurements. Results were compared to the model output for different incidence angles. Predicted transmittances were generally within ±0.05 of measured values although there could be an overprediction as much as +0.11 for normal incidence test cases of high transmittance test samples. This discrepancy can be attributed to the geometric difference between the model and the test samples.
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