基于数值模拟的温室湿帘—风机运行参数确定方法研究

doi:10.13733/j.jcam.issn.2095-5553.2024.05.012

摘要/Abstract

摘要： 为提高温室湿帘—风机系统降温效果、降低温室运行成本，运用计算流体力学方法（CFD）构建温室三维模型，模拟湿帘—风机系统运行过程，探究运行参数对温室内部温度场影响规律。对湿帘面积、风机风速、湿帘入口温度三种影响参数进行组合，通过成本分析、温度占比及温度分布均匀性选配合适的湿帘—风机降温系统参数。结果表明：模拟值与实测值最大误差为3.983%，验证CFD模型的有效性。由数值模拟可知：温室水平向及竖直向存在梯度变化，在湿帘—风机降温系统开启210s时，温室内部整体温度稳定在27.9℃。夏季高温季节，当温室温度高达35℃时，利用CFD优选出湿帘—风机降温系统配置参数为湿帘面积0.5m2，风机风速4m/s；湿帘入口温度23.85℃时，经过300s温度由35℃降低至30℃，温室内温度偏差系数为0.077，满足作物生长需求且成本低。基于数值模拟的温室湿帘—风机降温系统的参数选取方法，可应用到陕西地区双拱温室中。

关键词: 温室, 湿帘—风机降温系统, 数值模拟, 计算流体力学, 温度, 参数优化

Abstract: In order to improve the cooling effect of the wet padfan system in the greenhouse and reduce the operating cost of the greenhouse, this paper uses the Computational Fluid Dynamics (CFD) to build a threedimensional model of the greenhouse, simulate the operation of the wetpad fan system and explore the impact of the operation related parameters on the temperature field inside the greenhouse. Through the combination of wet pad area, fan wind speed and wet pad circulating water temperature, the appropriate parameters of wet padfan cooling system are selected by the cost analysis, temperature proportion and the temperature distribution uniformity. The results show that the maximum error between simulated values and measured values is 3.983%, which verifies the effectiveness of the CFD model. The numerical simulation shows gradient variability presents in the horizontal and vertical directions of the greenhouse, and the temperature in the greenhouse drops to 27.9℃ after the wet padfan cooling system is on for 210s. In summer, when the temperature of the greenhouse is as high as 35 ℃, CFD was used to optimize the configuration parameters of the wet curtainfan cooling system as the wet curtain area of 0.5 m2, and the fan wind speed of 4 m/s, the initial wet pad circulating water temperature is 23.85℃, the temperature decreases from 35℃ to 30℃ after the wet padfan cooling system is on for 300s. The temperature deviation coefficient in the greenhouse is 0.077, which meets the crop growth needs. Therefore, the parameter selection method of the greenhouse wet padfan cooling system based on CFD proposed in this paper can be applied to the doublearch greenhouse in Shaanxi.

Key words: greenhouse, wet pad-fan cooling system, numerical simulation, CFD, temperature, parameter optimization

中图分类号:

S625.3

焦宁, , 朱德兰, , 荆宇鹏, , 刘孟阳, , 柳昌新. 基于数值模拟的温室湿帘—风机运行参数确定方法研究[J]. 中国农机化学报, 2024, 45(5): 79-84.

Jiao Ning, , Zhu Delan, , Jing Yupeng, , Liu Mengyang, , Liu Changxin. Research on determination method of greenhouse wet padfan operating parameters based on numerical simulation [J]. Journal of Chinese Agricultural Mechanization, 2024, 45(5): 79-84.

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