The majority of the population still uses charcoal for domestic and industrial purposes. Charcoal is favored by many developing countries because of its low cost and ever-increasing energy demand. The objective of this study is to provide the optimum temperature and moisture content for a fixed residence time toobtain a good quality charcoal yield. The kiln model has been validated using ANSYS, before fabricating the kiln. The selected kiln is a verticalrectangular steel kiln and horizontal square stacking is followed. The wood used for charcoal production is Prosopis juliflora. Initially, wood is subjected to a pyrolysis process to determine the optimum residence time, 3 and 4 hrs were considered for the experiment. The wood is subjected to a pyrolysis process for different moisture content of 30.7 and 15.45% in varying pyrolysis temperatures of 350, 380, 420, 450 and 500 ⁰C. from the experimental results, it is revealed that the optimum residing time is 4 hrs and the optimum temperature is 500 ⁰C, because more time facilitates the evaporation of lite volatile matter and forms a good quality of charcoal yield with more fixed carbon if 15.45 % moisture air dried wood is used. ANN model was developed and evaluated for a different training function by varying hidden layer neuron numbers. The suitability of the developed ANN model is verified based on deviation in error with the experimental values for different input values.
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