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Standard effective temperature based adaptive-rational thermal comfort model

机译:标准有效温度的自适应合理热舒适模型

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摘要

Thermal adaptations mitigate thermal discomfort and thereby reducing building energy consumption. Adaptive-rational thermal comfort modelling modifies the rational model using the adaptive approach to enable the rational model to fully account for the thermal adaptations for improved thermal comfort prediction. However, the applicability of the adaptive-rational thermal comfort modelling has only been verified for the rational model of Predicted Mean Vote. Standard effective temperature (SET) is a more advanced rational model that has been adopted by ASHRAE 55. This study proposes two SET based adaptive-rational thermal comfort models. Predicted thermal sensation (PTS) is obtained from the SET. The PTS is modified by the extension method and adaptive method of the adaptive-rational thermal modelling to be the extended PTS and adaptive PTS respectively. Case studies using field data from naturally-ventilated and air-conditioned buildings validate that, compared with the PTS, the conventional extended PTS and conventional adaptive PTS improve the accuracy in the thermal sensation prediction by 6.6-36.5%, and the proposed extended PTS and proposed adaptive PTS improve the accuracy by 29.4-77.0%. Thus, the proposed extended PTS and proposed adaptive PTS significantly outperform the conventional ones. Besides the improved accuracy, the proposed extended PTS and proposed adaptive PTS are explicitly formulated and convenient for practical applications.
机译:热适应减轻热不适,从而降低建筑能耗。自适应方法采用自适应方法改变了适应性模型,使理性模型能够完全考虑用于改善热舒适预测的热调整。然而,仅对预测平均投票的合理模型进行了验证了自适应合理热舒适性建模的适用性。标准有效温度(设定)是Ashrae 55采用的更先进的合理模型。本研究提出了两组基于适应性的合理热舒适模型。预测热敏感觉(PTS)是从该组中获得的。通过自适应合理的热建模的扩展方法和自适应方法来修改PTS分别是延伸的PTS和自适应PTS。使用来自自然通风和空调建筑物的现场数据的案例研究验证,与PTS相比,传统的扩展PTS和常规自适应PTS将热敏预测的精度提高6.6-36.5%,以及所提出的扩展PTS提出的自适应PTS提高了29.4-77.0%的准确性。因此,所提出的扩展PT和所提出的自适应PTS显着优于传统的PTS。除了提高的精度外,建议的扩展PTS和所提出的自适应PTS明确地制定和方便的实际应用。

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