Direct evaporative cooling is the typically adopted ventilation system in poultry houses in hot climates. This type of cooling is inefficient during period of relatively high humidity resulting in degraded thermal comfort and air quality for the chicken. This work investigates two sustainable ventilation systems that are adequate to hot and humid climates to enhance the poultry indoor conditions. System I consists of the conventional direct evaporative cooler integrated with packed bed desiccant dehumidifier whilst system II integrates a dew-point indirect evaporative cooler with the packed desiccant bed. To determine the most cost-effective cooling system and ventilation strategy, both systems were sized and their operation optimized for a case study of a typical modular poultry house in Qatar hot humid climate. The selection of the better performing system was based on the consumption of water, electricity and thermal energy during the cooling season while ensuring that the same thermal and air quality conditions were attained within the poultry house by both systems. This was achieved by developing and validating mathematical models for the mass and energy balances of the poultry house as well as the systems’ subcomponents. The models were integrated and a genetic algorithm optimizer was used to find the best performance of system I and system II to compare their performance. Accordingly, it was found that system II was able to meet the poultry house thermal and air quality requirements at 35 % lower operating cost as compared to system I over the entire Qatari cooling season.

直接蒸发冷却是炎热气候下禽舍通常采用的通风系统。在相对高湿度期间，这种类型的冷却效率低下，导致鸡的热舒适度和空气质量下降。这项工作调查了两种可持续的通风系统，它们足以适应炎热和潮​​湿的气候，以改善家禽的室内条件。系统I包括与填充床干燥剂除湿机集成的传统直接蒸发冷却器，而系统II将露点间接蒸发冷却器与填充干燥剂床集成在一起。为了确定最具成本效益的冷却系统和通风策略，针对卡塔尔炎热潮湿气候下典型模块化禽舍的案例研究，对这两个系统进行了尺寸调整和运行优化。性能更好的系统的选择基于冷却季节的水、电和热能消耗，同时确保两个系统在禽舍内达到相同的热和空气质量条件。这是通过开发和验证用于禽舍的质量和能量平衡以及系统子组件的数学模型来实现的。对模型进行集成，并使用遗传算法优化器来寻找系统I的最佳性能和系统II来比较它们的性能。因此，发现系统II能够在整个卡塔尔冷却季节以比系统I低 35% 的运营成本满足禽舍热和空气质量要求。