The optimal performance of dew point indirect evaporative cooler with respect to the operational environment is a challenging task as the same is affected by many parameters. This paper reports the regression modeling and optimization of a counter flow indirect evaporative cooler using the response surface methodology. Experimentation is conducted using the central composite design and regression models are statistically evaluated for adequacy and found within 7% maximum error limit as compared with literature. Results show that supply temperature and cooling capacity increase with increasing inlet air velocity and inlet air temperature. Moreover, dew point and wet bulb effectiveness have a direct relationship with inlet air temperature and an inverse relationship with inlet air velocity. After validation, the regression models are subjected to single-objective and multi-objective optimization based upon the desirability function technique. The multi-objective formulation reveals that optimal performance of the system is achieved at 41.31 °C inlet air temperature, 3.61 m/sec inlet air velocity, 12 g/kg inlet air humidity, and 24.48 °C water temperature. Finally, an operational envelope is proposed to evolve a zone for the best-suited operation of such a device which ensures a reasonable cooling capacity within 1.5 – 2.5 kW while enabling thermal comfort for the conditioned space.

露点间接蒸发冷却器相对于运行环境的最佳性能是一项艰巨的任务，因为它受许多参数的影响。本文报告了使用响应面方法对逆流间接蒸发冷却器进行的回归建模和优化。使用中央复合设计进行实验，并对回归模型进行统计学评估以确保其充分性，并且与文献相比发现最大误差限制在7％之内。结果表明，进气温度和冷却能力随进气速度和进气温度的升高而增加。此外，露点和湿球效率与进气温度有直接关系，而与进气速度却成反比。验证后，基于期望函数技术对回归模型进行单目标和多目标优化。多目标公式表明，系统的最佳性能是在41.31°C的进气温度，3.61 m / sec的进气速度，12 g / kg的进气湿度和24.48°C的水温下实现的。最后，提出了一个工作范围，以发展出一个最适合该设备运行的区域，该区域可确保在1.5 – 2.5 kW内具有合理的冷却能力，同时又能为空调提供舒适的空间。入口空气湿度为12 g / kg，水温为24.48°C。最后，提出了一个运行范围，以发展出一个最适合该设备运行的区域，该区域可确保在1.5 – 2.5 kW内具有合理的冷却能力，同时又能为空调提供舒适的空间。入口空气湿度为12 g / kg，水温为24.48°C。最后，提出了一个运行范围，以发展出一个最适合该设备运行的区域，该区域可确保在1.5 – 2.5 kW范围内具有合理的冷却能力，同时又可为空调空间提供舒适的温度。