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• W326942347 abstract "A computer model was developed to predict the black globe humidity index (BGHI) to simulate different resultant conditions in designing poultry buildings. The simulated BGHI values were compared to experimental measurements, obtained in a poultry facility at Vicosa, MG, Brazil, giving a mean deviation of 1.31 %. The model was then used to predict BGHI values as affected by roof slopes of 25 o , 30 o , and 35 o , and column heights of 3.0 and 3.5 m. The results showed that BGHI can be reduced by 0.12 units per 5 o increase in roof slope, or 0.10 units per 0.5 m increase in column height. The maximum reduction of BGHI, 0.33 units, was obtained when comparing the extreme conditions of 25 o roof slope and 3.0 m height vs. 35 o slope and 3.5 m height. Poultry production is playing an increasingly important role in the global agricultural economy. This development is mainly due to improved genetic breeding, nutrition, sanitation, and poultry housing. Paralleling to the faster growth of poultry are negative factors such as lung, heart and leg problems. However, these problems could be reduced with proper design and control of the environmental conditions to better meet the needs of poultry. To delineate the thermal environment for the animals and to project potential outcome of the environmental modification, many mathematical models have been developed. Most of them are used to predict the temperature, relative humidity, airflow and thermal comfort index for livestock buildings. Oliveira (1980) developed a model to estimate the black-globe humidity index (BGHI) using data referent to edification (dimensions and thermal conductivity of the buildings materials) and climate (temperature, relative humidity, wind velocity, atmospheric pressure, and solar radiation). In this model, the incident overall solar radiation on the surface of the roof was estimated by the overall solar radiation measured by instruments and corrected to the surface of the roof. This model was tested for a poultry building in the county of Vicosa, Brazil by Teixeira (1983) who verified that the model could also be used to predict BGHI for hot climatic conditions. Alves (1981) proposed a model to estimate the global solar radiation in surfaces of different inclinations and azimuths. The model expresses the global solar radiation as a function of direct and diffuse radiation components, from the surface inclination angle, incidence angle of direct solar rays, surface albedo and the zenithal angle of the sun. The results were presented in the form of abaci and tables. Although the model by Oliveira (1980) is of great importance to estimating BGHI, the requirement of direct solar radiation data as an input presents a limitation to the model. Therefore, inclusion of a routine to predict the direct solar radiation would make it more suitable to simulate, in a computer the effects of various structural conditions on the internal environment of poultry buildings." @default.
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• W326942347 date "2001-01-01" @default.
• W326942347 modified "2023-09-26" @default.
• W326942347 title "Prediction of Black Globe Humidity Index in Poultry Buildings" @default.
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