Heat exchanger system with machine-learning based optimization

An apparatus comprising:

• a cooling system including cooling system apparatuses comprising:
• a heat generating apparatus configured to transfer heat to a process fluid;
• a heat rejection apparatus configured to remove heat from the process fluid;
• and
• a sensor configured to detect an operating variable of the cooling system;
• processor circuitry operably coupled to the sensor and configured to provide the operating variable and a plurality of potential operating parameters to a machine learning model representative of the cooling system to estimate at least one of energy consumption, water usage, and chemical usage for each of the potential operating parameters;
• wherein the potential operating parameters include a potential operating mode parameter indicative of whether at least one of the cooling system apparatuses is on or off;
• the processor circuitry configured to determine, based at least in part on the estimated at least one of energy consumption, water usage, and chemical usage for the potential operating parameters, an optimal operating parameter of the cooling system to satisfy a target optimization criterion;
• wherein the optimal operating parameter includes an optimal operating mode parameter indicative of whether the at least one of the cooling system apparatuses is on or off;
• and
• the processor circuitry is configured to cause the cooling system to utilize the optimal operating parameter including causing the at least one of the cooling system apparatuses to be on or off according to the optimal operating mode parameter.