Prediction and Optimization of Wet Bulb Efficiency in Solar Energy-Based Novel Evaporative Cooling System: Response Surface Method Approach

Abstract

The wet bulb efficiency is an essential parameter in the performance of Indirect evaporative cooling systems, as it impacts efficiently cool air while minimizing energy usage. This paper focuses on model and optimizing multi-tubular-type wet channels for indirect evaporative cooler system. The optimized wet bulb efficiency is based on Box–Behnken experimental design model and response surface method. The methodology included predicting and optimizing input process and working flow parameters of indirect evaporative cooling system to maximize wet bulb efficiency. A quadratic model of response surface method was used to evaluate the influence of each factor on wet bulb efficiency, which was validated through analysis of variance results. The study found a maximum wet bulb efficiency of 89.65% under specific conditions, with a relative error of 3.25% between predicted and experimental results. This optimization process, governed by response surface method, determined essential parameters for enhancing the efficiency of the system. These parameters include inlet process temperature of 28 °C, working air velocity of 3.5 m/s, relative humidity of 45%, and inlet working air temperature of 24 °C. These results demonstrate practical significance of current research, providing useful insights for optimal design and optimization of indirect evaporative cooling systems to fulfill cooling requirements while minimizing energy consumption.