Aplica??o de métodos numéricos para estimativa de variáveis psicrométricas

摘要

The atmospheric air is formed by a composition of dry air and water vapour, whose values of the vapour amount, in quantitative terms, are variable in function of climatic elements such as temperature and pressure. Therefore, to estimate the air relative humidity is necessary complete information's of historical data series of air temperature (Tar), vapour pressure (ea) and wet-bulb temperature (Tu). Therefore, these values were used to calculate Tu in order to complete the daily data series for Piracicaba - SP, Brazil. This work had the objective of elaborating a computational routine to estimate values of the wet-bulb temperature (Tu) as a function of climate variables, to obtain data series, based on numeric methods (Newton-Raphson Method and Secant Method). The results showed that the numeric methods of Newton-Raphson and Secant presented good estimates of Tu, however the Secant method showed as the best numeric method to be applied for the numeric solution of the psychrometric variables.