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            暖通空调杂志社>期刊目次>2019年>第6期

            建立一种新的热适应预测评价模型——预测热感觉PTS模型*

            Development of a new thermal adaptive predicted model—PTS (predicted thermal sensation) model

            纪文杰 曹彬 朱颖心
            清华大学

            摘要:

            对现有热舒适模型及热适应模型存在的问题进行了思考。利用ASHRAE热舒适数据库中的数据,结合标准有效温度SET,建立了能够体现适应性的热感觉预测评价模型——预测热感觉PTS模型。该模型不仅能够对各种环境下人的热感觉进行预测,还能够反映适应性差异。建立了针对我国不同气候区的预测评价模型及世界典型气候类型下的模型。通过验证发现,该模型准确性高,实用性强,可用于指导实际建筑的设计和评价。

            关键词:热感觉,预测模型,热舒适,热适应,标准有效温度,预计平均热感觉指数

            Abstract:

             Considers the problems of the existing thermal comfort model and adaptive thermal comfort model. Using the ASHRAE Thermal Comfort Database, combined with the standard effective temperature (SET), establishes a new adaptive predicted model—PTS (predicted thermal sensation) model. This model can not only predict the thermal sensation in various environments, but also reflect the adaptive differences in different classifications. Establishes the adaptive predicted model for different climate zones in China, as well as models for typical climate types worldwide. The PTS model has been proved to be more accurate and practical for a better direction in building design and environment evaluation.

            Keywords:thermalsensation,predictedmodel,thermalcomfort,thermaladaptation,standardeffectivetemperature(SET),predictedmeanvote(PMV)

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