Abstract
Relative humidity in agricultural buildings can be computed with readings from an aspirated psychrometer by utilizing an algorithm for selecting the appropriate values of wet and dry bulb temperature observed during each aspiration period. A dataset consisting of observations of wet and dry bulb temperature from four psychrometers during 10-min aspiration periods was analyzed to determine the effect of four different algorithms on the computed relative humidity. Algorithms designed to reduce aspiration time by sensing steady or increasing wet bulb temperature gave inconsistent results. The recommended algorithm uses wet and dry bulb temperature readings corresponding to the occurrence of the maximum wet bulb depression during aspiration, with an aspiration period of 4-6 min being adequate for most purposes using the psychrometer tested.
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