Preliminary Evaluation of an Advanced Ventilation-Control Algorithm to Optimise Microclimate in a Commercial Broiler House.

This study aims to improve the microclimate conditions in a mechanically ventilated broiler house by proposing and evaluating a ventilation-control algorithm based on heat-energy balance analysis. The new algorithm is designed to optimise the ventilation-rate requirement and thereby improve control of the indoor temperature. The analysis of one year of operational data collected at the experimental farm indicates that the current ventilation-control system successfully maintained optimal indoor temperatures for 74% of the time. In contrast, the proposed algorithm has the potential to improve this number significantly (up to 92%). The new algorithm was implemented and evaluated at two broiler houses (control and experimental) starting from day 20 to day 34 during one rearing period under high-temperature conditions. The results confirm that the new algorithm effectively reduced indoor temperatures by 1.5-2 °C during the day, which reduces heat stress significantly. Even though cooling pad usage increased to about eight times, the reduction in tunnel fan usage (to about 52%) led to significant energy savings. Furthermore, broiler mortality was reduced by 16.5%, which means there is also potential for improved productivity. The proposed ventilation control algorithm can effectively enhance microclimate conditions and energy efficiency in broiler production, though longer-term studies are required to fully assess its impact on growth performance.