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ESTIMATING ENERGY COSTS OF NONBENEFICIAL DRYER OPERATION BY USING A PEANUT DRYING MONITORING SYSTEM

机译:使用花生干燥监测系统估算非义义擦干机操作的能量成本

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Knowledge of kernel moisture content during peanut drying is important to ensure that the bed of peanuts is dried appropriately. However, the lack of a commercially available, industry-accepted solution for real-time kernel moisture content determination during peanut drying makes its detection cumbersome and laborious. Samples of unshelled peanuts are extracted from the semitrailer by an operator periodically, and the samples have to be cleaned and shelled to determine kernel moisture content with the official meter. A peanut drying monitoring system that includes a microwave kernel moisture sensor, developed within the USDA ARS, provides a means for monitoring in-shell kernel moisture content in real-time. The system determines kernel moisture content with a standard error of prediction (SEP) of 0.55% moisture content when compared to the reference oven-drying method. During recent peanut harvest seasons, peanut drying monitoring systems were placed in 13.7-m (45-ft) drying semitrailers, one 3 m (10 ft) from the front of the trailer and the other 3 m (10 ft) from the back of the trailer. As the peanuts dried, pod and kernel moisture content, temperature of the drying peanuts, temperature and relative humidity of the air exhausted from the peanuts, and temperature and relative humidity of the air being blown into the peanuts were measured every 12 seconds. The continuous data, provided by the monitoring systems, were useful in observing the loss of moisture by the peanuts throughout drying. The data also revealed periods of at least 3 hours during which dryer operation did not result in loss of moisture from the peanuts; thus, identifying nonbeneficial dryer operation. Such periods cause a peanut buying point to accumulate unnecessary expenses for propane and/or electric energy which can total up to $3,250 annually for an average-size buying point.
机译:花生干燥过程中核水分含量的知识对于确保花生床进行适当干燥。然而,在花生干燥期间缺乏用于实时内核水分含量测定的商业,行业接受的解决方案使其检测繁琐且艰苦。连续的操作员通过定期从半剥离器中提取外壳的花生样品,并且必须清洁并壳化样品以确定与官方仪表的核水分含量。一种包括在USDA ARS中产生的微波核水分传感器的花生干燥监测系统提供了用于实时监测壳内核水分含量的手段。与参考烘箱干燥方法相比,该系统用预测的预测误差(SEP)的标准误差确定核水分含量为0.55%。在最近的花生收获季节期间,花生干燥监测系统置于13.7米(45英尺)的干燥半拖车,距拖车前部3米(10英尺),另一个从后面的3米(10英尺)拖车。当花生干燥,荚和核水分含量,每12秒测量从花生耗尽的空气的温度,温度和相对湿度的空气中的空气的温度和相对湿度被吹入花生进入花生。由监测系统提供的连续数据可用于观察整个干燥的花生的水分丧失。数据还透露了至少3小时的时间,在此期间干燥器操作不会导致花生损失水分;因此,识别非弯曲缺陷操作。这些时期导致花生购买点积累丙烷和/或电能的不必要的费用,每年可以为平均尺寸的购买点总计高达3,250美元。

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