Optimizing make-up water feed in cooling tower operations is crucial due to the variability in feed water quality. Ensuring the correct amount of makeup water is added is challenging but essential for compensating for various losses such as evaporation, draft, and blowdown. Without optimal water management, operational efficiency can decline, leading to increased costs and potential equipment damage.

A robust solution involves predicting the make-up water addition based on water quality and other process parameters. By utilizing predictive models, operators can determine the appropriate quantity of makeup water needed to account for all types of water losses while maintaining the necessary water quality. This approach enables real-time adjustments, ensuring consistent and efficient cooling tower performance. The prediction models provide actionable insights, helping the operations team make informed decisions, reduce waste, and improve overall efficiency. Ultimately, optimizing make-up water feed ensures the cooling tower operates reliably and sustainably, maintaining high performance and reducing operational costs.