陈瑾萱, 杜震宇. 基于裸土地面的日光温室室内温湿度预测模型构建[J]. 太阳能学报, 2024, 45(8): 414-422. DOI: 10.19912/j.0254-0096.tynxb.2023-0575
引用本文: 陈瑾萱, 杜震宇. 基于裸土地面的日光温室室内温湿度预测模型构建[J]. 太阳能学报, 2024, 45(8): 414-422. DOI: 10.19912/j.0254-0096.tynxb.2023-0575
Chen Jinxuan, Du Zhenyu. CONSTRUCTION OF PREDICTON MODEL FOR INDOOR TEMPERATURE AND HUMIDITY IN SOLAR GREENHOUSE BASED ON BARE GROUND SURFACE[J]. Acta Energiae Solaris Sinica, 2024, 45(8): 414-422. DOI: 10.19912/j.0254-0096.tynxb.2023-0575
Citation: Chen Jinxuan, Du Zhenyu. CONSTRUCTION OF PREDICTON MODEL FOR INDOOR TEMPERATURE AND HUMIDITY IN SOLAR GREENHOUSE BASED ON BARE GROUND SURFACE[J]. Acta Energiae Solaris Sinica, 2024, 45(8): 414-422. DOI: 10.19912/j.0254-0096.tynxb.2023-0575

基于裸土地面的日光温室室内温湿度预测模型构建

CONSTRUCTION OF PREDICTON MODEL FOR INDOOR TEMPERATURE AND HUMIDITY IN SOLAR GREENHOUSE BASED ON BARE GROUND SURFACE

  • 摘要: 为探究日光温室热湿环境形成机理和规律,认识其内部多物理场耦合的复杂物理现象,根据日光温室的结构特性、外部环境条件等参数,应用传热传质学理论,基于日光温室围护结构内表面热量平衡关系式、空气热量及湿量平衡关系式,考虑墙体湿传递、土壤蒸发等作用建立日光温室室内温湿度预测模型。该模型借助Matlab软件,利用迭代法求解微分方程组得到室内温湿度,并与实验值进行对比及验证分析。结果表明:连续两日内室内空气温度及湿度的预测值与实测数据相对误差分别为5.11%、4.17%;一致性指数分别为0.98、0.94;预测值和实验值之间不存在显著性差异。理论预测值与实验测定值相对误差小,模型一致性高、可靠性强,考虑墙体湿传递和土壤蒸发的影响后可使裸土地面的日光温室室内温湿度的预测模型更加准确。

     

    Abstract: In order to investigate the formation mechanism and law of heat and humidity environment of solar greenhouse, and to recognize the complex physical phenomenon of multi-physical field coupling within it, according to the structural characteristics of the solar greenhouse, external environmental conditions and other parameters, and establish the prediction model of indoor temperature and humidity for solar greenhouse is established based on the equations of the heat balance relationship on the inner surface of the enclosure structure of the solar greenhouse, the equations of the balance relationship of the heat and humidity in the air and the consideration of the role of wall humidity transfer, soil evaporation and so on. The iterative model is used to solve this model to obtain the indoor temperature and humidity with the assistance of Matlab software using iterative method The results are compared and analyzed with the experimental It is found that the relative errors between the predicted and measured data of indoor air temperature and humidity in two consecutive days are 5.11% and 4.17%, respectively; the consistency indices are 0.98 and 0.94, respectively; and there is no significant difference between the predicted and experimental values. The theoretical predicted values and the experimental measured values have small relative errors, and the model is highly consistent and reliable. The prediction model of indoor temperature and humidity in solar greenhouse on bare ground can be more accurate after considering the effects of wall mass transfer and soil evaporation.

     

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