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The estimation of psychrometric properties of air is critical in several engineering and scientific applications such as heating, ventilation, and air conditioning (HVAC) and meteorology.Although formulae to calculate the psychrometric properties of air are widely available in the literature (Dilley, 1968;Humphreys, 1920;Stoecker & Jones, 1982;Stull, 2011; Wexler, Hyland, Stewart, & American Society of Heating, Refrigerating and Air-Conditioning Engineers, 1983), their implementation in computer programs or spreadsheets can be challenging and time consuming.To our knowledge, only few numerical implementations of such formulae are freely available as standalone software libraries for programming languages and spreadsheets used in science and engineering.
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Meyer et al. (2019) studied this question.
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