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基于Airpak的夏季空调室内热环境数值模拟研究 被引量:19

Numerical simulation study on the thermal environment of an air-conditioned office in summer based on Airpak
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摘要 基于A irpak软件,选用室内零方程湍流模型对一夏季空调办公室内热环境进行了三维数值模拟,得到室内气流组织下的流场、温度场分布.采用PMV-PPD与空气龄指标对室内人员热舒适性及空气品质进行了评价,并通过测试室内温度、风速参数,验证了数值模拟结果的准确性.研究表明:对于分体式空调器房间,气流组织分布与空调器的安装位置、室内设备的摆设以及室内人员的分布有关,不同的气流组织将形成不同速度场和温度场.室内温度场分布在水平方向比较均匀,在垂直方向产生明显的温度分层;室内零方程湍流模型能准确快速模拟空调通风房间气流组织分布,PMV-PPD与空气龄指标能对人体热舒适及空气品质进行数值预测与评价,为房间空调器送风温度、速度参数的合理设定提供参考依据;热环境数值模拟对空调系统的气流组织设计、运行调节具有重要的指导意义. The thermal environment of an air-conditioned office in summer was simulated in three-dimension,which choose zero-equation turbulence model based on Airpak.The air distributions of velocity and temperature fields were obtained.The PMV-PPD(Predicted Mean Vote-Predicted Percentage Dissatisfied) and air age indexes were applied that to evaluate the human thermal comfort and air quality.Numerical simulation results were experimental verification by testing the air temperature and velocity.Numerical and experimental results indicate that the air distribution relations between air conditioner,the equipment and person's distributions in split type air conditioner room,the different air distribution for the different temperature and velocity distribution.It was uniform in horizontal direction and layered in vertical direction of temperature distribution.The air distribution in room by using of zero-equation turbulence model was reasonable and rapidly.PMV-PPD and air age indexes could simulate and evaluate the human thermal comfort and air quality,which provided as a reference for reasonable setting the temperature and velocity parameters of the air conditioner.It was of directive significance to design the air distribution and operate the air-conditioned system by the numerical simulation.
出处 《湖南科技大学学报(自然科学版)》 CAS 北大核心 2011年第2期11-17,共7页 Journal of Hunan University of Science And Technology:Natural Science Edition
基金 湖南省教育厅资助科研重点项目(08A018)
关键词 热环境 气流组织 热舒适性 空气品质 空气龄 PMV-PPD thermal environment air distribution thermal comfort air quality air age predicted mean vote-predicted percentage dissatisfied
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