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Application of a School Building Thermal Response Numerical Model in the Evolution of the Adaptive Thermal Comfort Level in the Mediterranean Environment

机译:教学楼热响应数值模型在地中海环境适应性热舒适水平演变中的应用

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In this paper, a review is made of the adaptive thermal comfort model. This is then applied and compared with the performance of the conventional thermal comfort model for a school located in a Mediterranean weather environment. Measurement data, combined with a building thermal response numerical model, are used to define the comfort performance under ambient natural ventilation and passive conditions for various classrooms. These results can then be used to identify the locations that require further measures to improve comfort, such as extra passive heat load and shading measures. The school design is based on that of an actual school and consists of three buildings, with 94 rooms. Envelope construction consists of opaque panels, 307 glazed window units and concrete floors and ceilings. The adaptive method uses external and internal environmental variables. Input data include occupation pattern and ventilation strategies. External environmental variables include air temperature, relative humidity, wind velocity and wind direction. Internal parameters include occupancy cycle, occupant activity level, clothing level, airflow rate and flow velocity. Indoor ventilation conditions are based on the airflow rate and the air velocity values measured in real classrooms. Environmental thermal comfort conditions were evaluated, in all occupied spaces, using the PMV index method of the Fanger model corrected with the adaptive model.
机译:本文对自适应热舒适模型进行了综述。然后将其应用于位于地中海天气环境中的学校,并与传统热舒适模型的性能进行比较。测量数据与建筑物热响应数值模型相结合,用于定义环境自然通风和被动条件下各种教室的舒适度。然后,可以将这些结果用于识别需要采取进一步措施以改善舒适度的位置,例如额外的被动热负荷和遮蔽措施。学校的设计是基于实际学校的设计,由三座建筑物组成,共有94个房间。信封结构由不透明的面板,307个玻璃窗单元以及混凝土地板和天花板组成。自适应方法使用外部和内部环境变量。输入数据包括职业模式和通风策略。外部环境变量包括气温,相对湿度,风速和风向。内部参数包括占用周期,占用者活动水平,衣物水平,气流速率和流速。室内通风条件是根据实际教室中测得的风量和风速值确定的。使用适应模型校正后的Fanger模型的PMV指数方法,在所有占用空间中评估环境热舒适条件。

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