Parametric study of closed wet cooling tower thermal performance

5th ModTech International Conference - Modern Technologies in Industrial Engineering

Qasim, S.M.^1 ; Hayder, M.J.^1

Al-Mustansiriyah University, Faculty of Engineering, Baghdad, Iraq^1

关键词: Artificial neural network models;    Closed wet cooling towers;    Heat and mass transfer coefficients;    Operational parameters;    Testing prototypes;    Thermal efficiency;    Thermal Performance;    Training and testing;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/227/1/012107/pdf
DOI  :  10.1088/1757-899X/227/1/012107

来源: IOP

【 摘 要 】

The present study involves experimental and theoretical analysis to evaluate the thermal performance of modified Closed Wet Cooling Tower (CWCT). The experimental study includes: design, manufacture and testing prototype of a modified counter flow forced draft CWCT. The modification based on addition packing to the conventional CWCT. A series of experiments was carried out at different operational parameters. In view of energy analysis, the thermal performance parameters of the tower are: cooling range, tower approach, cooling capacity, thermal efficiency, heat and mass transfer coefficients. The theoretical study included develops Artificial Neural Network (ANN) models to predicting various thermal performance parameters of the tower. Utilizing experimental data for training and testing, the models simulated by multi-layer back propagation algorithm for varying all operational parameters stated in experimental test.