Analysis of the thermal efficiency of flat plate solar air heaters considering environmental CONTENIDO conditions using artificial neural networks

The variance analysis and ArtificialGonzalez y M.Neural NetworksGutierrez-Rojaswere employed to characterize the thermal efficiency in an Air Solar Heater (ASH), evaluating the effects of the design variables: the depth, material and thickness of the absorber plte and inlet airflow. 259 Crecimien o sobrevivencia y adaptacion de Bifidobacterium infant s a condiciones acidas Using Artificial Neural Networks, it was possible to correlate and estimate the effects of uncontrolled environmental variables on thermal efficiency. Incident solar radiation is the enviromental factor with the greatest relevant effect on the thermal efficiency (Growth, surviva and adaptation of Bifidobacterium infantis to acidic conditions) of ASH; due to the inabilityL.oftheMayorg-Reyes,absorber P.platetoreceive,Bustamante-Camilo,storeA.andGutierrztransfer theNav, E.abundant solarBarranco-Floridoenergy ytoA.their.Azaola-The most relevant variables in the design were the material and the thickness of absorbed plate, nevertheless, these variables have opposite Espinosa behaviors on thermal efficiency under conditions of high and low solar incidence. Under this proposed methodology, it was 265 St tis l h t pti i ati f th l f t ti b S h m ce i i i the possible to evaluate and know the effect of the design variables studied, even with the high effect of the prevailing environmental conditions.