Abstract: | Modelling the progress of air stream parameters in space and time as applied to a stock-breeding farm is a basis for implementing higher quality microclimate control, based on modern information technology, using powerful mathematical models. It permits, through simulation of control processes and the progress of microclimate parameters within a farm's space, for a given combination of conditions, to choose parameters of control in a way to provide the best conditions for the animals in their inhabited zone, while making the most efficient use of energy, emitted within the premises. Such an approach to microclimate control improves the energy efficiency of the process.
This paper aims at algorithmic modelling of different physical processes, represented as separate subroutines, describing the processes within a stream of air, fed into a stock-breeding premise. |