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Transient three-dimensional CFD modelling of ceiling fans

机译：吊扇的瞬态三维CFD建模

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Ceiling fans have been used for decades as a means of providing thermal comfort in tropical countries such as India. However, recent years have witnessed a significant increase in the use of air conditioning as a means to achieve comfort, and therefore in the total energy consumption and related CO2 emissions. Ceiling fans are still viable options to limit use of air conditioners or in combination with air conditioners without compromising on thermal comfort and still achieving energy savings. Ceiling fans generate non-uniform velocity profiles, and therefore relatively non-uniform thermal environments, whose characteristics may be tough to analyse with simple modelling methods. This issue can be investigated using CFD. However, to date, there are few works on ceiling fans, CFD and thermal comfort. More accurate models are therefore required to predict their performance. The research presented in this paper aimed to develop and validate a three-dimensional transient implicit CFD model of a typical ceiling fan available in India by comparing simulation results obtained using different URANS turbulence models with measured data collected in controlled environment. The results highlight that this ceiling fan model is able to replicate the predominant characteristics of the air flow generated by the fan such as the meandering plume and the local fine free shear layers. The best results are achieved when the SST k-omega turbulence model is used, with 83% of the simulated values being within the error bars of the respective measured value. (C) 2017 The Authors. Published by Elsevier Ltd.
机译：吊扇在印度等热带国家已被用作提供热舒适的一种方式，已有数十年的历史。然而，近年来见证了使用空调作为获得舒适感的手段的显着增加，因此，总能耗和相关的CO2排放也显着增加。吊扇仍然是可行的选择，可以限制空调的使用或与空调组合使用，而不会影响热舒适性并仍然实现节能。吊扇产生不均匀的速度分布，因此产生相对不均匀的热环境，其特征可能很难通过简单的建模方法进行分析。可以使用CFD调查此问题。但是，到目前为止，关于吊扇，CFD和热舒适性的工作很少。因此，需要更准确的模型来预测其性能。通过将使用不同URANS湍流模型获得的模拟结果与在受控环境中收集的测量数据进行比较，本文提出的研究旨在开发和验证印度典型吊扇的三维瞬态隐式CFD模型。结果表明，该吊扇模型能够复制风扇产生的气流的主要特征，例如曲折的羽状流和局部细小自由剪切层。当使用SSTk-ω湍流模型时，可获得最佳结果，其中83％的模拟值在相应测量值的误差范围内。 （C）2017作者。由Elsevier Ltd.发布

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