首页> 外文期刊>Computers and Electronics in Agriculture >Smart cooling-aeration guided by aeration window model for paddy stored in concrete silos in a depot of Guangzhou, China
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Smart cooling-aeration guided by aeration window model for paddy stored in concrete silos in a depot of Guangzhou, China

机译:由储存窗口模型引导的智能冷却曝气,用于储存在中国广州仓库的混凝土筒仓中

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摘要

A smart cooling-aeration (SCA) system was developed and tested for cooling bulk paddy stored in concrete silos in a south-subtropical depot of Guangzhou, China. Besides lowering the grain temperature with natural cold air during winter months, the cooling-aeration operation was also required to minimize grain moisture content loss, as well as the fan noise nuisance to nearby residents. Based on the grain and ambient air condition, the SCA system used the collected information in Aeration Window Model (AWM) for optimal control of aeration fans. The AWM was based on the CAE adsorptive equation and equilibrium absolute humidity curve. The SCA system was tested in two concrete silos of 650 tonnes in Guangzhou (22 degrees 44'N, 113 degrees 30'E) from 7 December 2018 to 5 March 2019. The system was set to turn on the fans when the temperature of grain bulk was 3 degrees C higher than the ambient air temperature and the equilibrium absolute humidity of grain for adsorption was above the absolute humidity of the ambient air. The grain temperature in one silo decreased by 10.3 degrees C after 97.8 h of aeration. The unit energy consumption by one 5.5-kW centrifugal fan was 0.063 kWh(t. degrees C)(-1). The grain temperature was lowered by 9.2 degrees C in 106.5 h in the second silo with the unit energy consumption of 0.031kWh(t. degrees C)(-1) by a 2.2kW centrifugal fan. The unit energy consumption for both silos were 52 - 77% lower than the lowest "typical" value (0.132 kWh(t. degrees C)(-1)) in similar type of silos in the region when cooling aeration is manually controlled. Compared to the 650 tonne paddy rice in the control silo with a 15 kW aeration fan, the grain moisture content, the total milled rice yield and grain processing quality was unchanged by the smart cooling aeration with smaller kW aeration fans.
机译:开发了一种智能冷却曝气(SCA)系统,用于在中国广州南汇仓库中储存在混凝土筒仓中的散装稻草。除了在冬季的天然冷空气中降低谷物温度外,还需要冷却曝气操作来最小化籽粒水分含量损失,以及对附近居民的风扇噪音滋扰。基于谷物和环境空调,SCA系统使用了曝气窗模型(AWM)中的收集信息,以实现通气风扇的最佳控制。 AWM基于CAE吸附方程和均衡绝对湿度曲线。 SCA系统在2018年12月7日至2019年3月5日的广州(22度44''n,113摄氏度)的两种混凝土筒仓中进行了测试。当谷物的温度时,系统被设置为打开风扇大容量高于环境空气温度高3℃,谷物的均衡绝对湿度高于环境空气的绝对湿度。曝气后,一个筒仓的晶粒温度降低了10.3℃。一个5.5 kW离心式风扇的单位能量消耗为0.063千瓦时(T。C)( - 1)。在第二个筒仓中,在106.5小时内将谷物温度降低9.2℃,单位能量消耗0.031kWh(t。c)( - 1)通过2.2kW离心式风扇。两种筒仓的单元能量消耗比在手动控制冷却通气时,在该区域中类似类型的筒仓中的最低“典型”值(0.132千瓦时C)( - 1))。与控制筒仓中的650吨稻田相比,具有15千瓦曝气风扇,谷物水分含量,总研磨的水稻产量和谷物加工质量不变,智能冷却通道与较小的kW通气风扇保持不变。

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