文章摘要
薛晓萍1,宿文2.基于CFD的自然通风对日光温室湿度分布模拟分析[J].海洋气象学报,2019,39(4):90-96
基于CFD的自然通风对日光温室湿度分布模拟分析
CFD simulation of humidity distribution in solar greenhouse under natural ventilation
投稿时间:2019-10-16  修订日期:2019-11-02
DOI:10.19513/j.cnki.issn2096-3599.2019.04.011
中文关键词: 日光温室  自然通风  风速风向  湿度  CFD模拟
英文关键词: solar greenhouse  natural ventilation  wind direction and speed  humidity  CFD simulation
基金项目:十三五山东重大气象工程项目(鲁发改农经〔2017〕97号);山东省2013 年度农业重大应用技术创新项目(新型双屋面日光温室及高效种植模式研究)
作者单位
薛晓萍1,宿文2 (1. 山东省气候中心山东 济南 2500312. 武城县气象局山东 武城 253300) 
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中文摘要:
      以济南日光温室为研究对象,基于试验观测数据,采用计算流体力学(computational fluid dynamics, CFD)模拟技术,利用κ-ε湍流模型和离散坐标(DO)辐射模型,模拟自然通风条件下日光温室内空气相对湿度分布。结果表明:CFD能够较好地模拟自然通风条件下温室内湿度变化特征,湿度模拟值与实测值平均误差为5.5%;低风速条件下,自然通风降湿能力弱,温室内湿度呈现明显的下高上低的垂直分布,随着风速增大,降湿效果明显提高,温室内湿度呈现北侧湿度高南侧湿度低的分布特征;风向为温室自然通风降湿的主要动力因素,对降湿效果影响较大,风向为与温室建造走向一致的偏东风时,温室内湿度低且分布均匀,降湿效率高,北风时,温室内湿度空间差异大,降湿效果差。该研究可以为日光温室的结构优化设计和环境调控提供科学依据。
英文摘要:
      The CFD (computational fluid dynamics) simulation technique has been utilized based on the experimental observation data of solar greenhouse in Jinan. The humidity distribution in the observed solar greenhouses under natural ventilation is simulated based on the standard κ-ε turbulence model and the DO (discrete ordinates) radiation model. The results are as follows. 1) The CFD numerical technique can perform a satisfactory simulation of the humidity variation in solar greenhouse under natural ventilation. The average error between the simulated and observed humidity is 5.5%. 2) The humidity in greenhouse shows a distinguished vertical distribution (high humidity in the lower layer and lower humidity in the upper layer) due to weak dehumidifying ability of natural ventilation under low wind speed condition; the dehumidifying effect obviously improves with wind speed increasing and the humidity presents a distribution of higher level in the northern part and lower level in the southern part. 3) The wind direction is the major dynamic factor regarding the greenhouse ventilation and has a strong impact on dehumidification. When it is easterly wind in the same direction with the greenhouse, the humidity is low and distributed evenly in the greenhouse with higher dehumidification efficiency. When it is north wind, the humidity has significant spatial difference and leads to lower dehumidification efficiency. This analysis can be a scientific reference for structural optimization and environment management of solar greenhouse.
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