Compressed air free from traces of water vapour is vital in many applications in an industrial sector. This study focuses on parametric optimization of a pressure-based packed bed adsorption system for air dehumidification through the Taguchi method and Genetic Algorithm. The effect of operational parameters, namely absolute feed air pressure, feed air linear velocity, and purge air flow rate percent on adsorption uptake rate of molecular sieve 13X-water pair, are studied based on L₂₅ orthogonal array. From the analysis of variance, it has been found that absolute feed air pressure and purge air flow rate percent were the parameters making significant improvement in the adsorption uptake rate. A correlation representing the process was developed using regression analysis. The optimum adsorption conditions were obtained through the Taguchi method and genetic algorithm and verified through the confirmation experiments. This system can be recommended for the industrial and domestic applications that require product air with the dew point temperature below 0°C.

不含痕量水蒸气的压缩空气在工业领域的许多应用中至关重要。这项研究的重点是通过Taguchi方法和遗传算法对基于压力的填充床吸附系统进行空气除湿的参数优化。基于L ₂₅研究了操作参数，即绝对进料空气压力，进料空气线速度和吹扫空气流速百分比对分子筛13X-水对的吸附吸收率的影响。正交数组。从方差分析中发现，绝对进料空气压力和吹扫空气流速百分数是使吸附吸收率显着提高的参数。使用回归分析开发了表示该过程的相关性。通过田口方法和遗传算法获得了最佳的吸附条件，并通过验证实验进行了验证。该系统可推荐用于要求露点温度低于0°C的产品空气的工业和家庭应用。