System For Optimizing Energy Efficiency Of Cooling Tower And Method Thereof

Abstract: ABSTRACT SYSTEM FOR OPTIMIZING ENERGY EFFICIENCY OF A COOLING TOWER AND METHOD THEREOF A system to optimize energy efficiency of a cooling tower is provided. The system may include a controller configured to determine an ambient temperature and an ambient 5 relative humidity data based on one or more sensors associated with the cooling tower. The controller may implement a pretrained supervised machine learning (ML) model to predict a wet bulb temperature and an optimal approach based on the ambient temperature and the ambient relative humidity data. Based on the optimal approach and the wet bulb temperature, the pretrained supervised ML model may 10 determine a cooling water outlet temperature set point to control operation of a tower fan of the cooling tower. The pretrained supervised ML model may determine a cooling water inlet temperature set point to control operation of a cooling water pump of the cooling tower based on the cooling water outlet set point and a pre-set efficiency of the cooling tower. 15 [Fig. 2]

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