Data analytics and monitoring can be used to optimize capacity control in free cooling systems by providing real-time insights into system performance and operating conditions. By analyzing data on temperature, flow rates, pressure, and energy consumption, operators can identify opportunities to optimize capacity control, detect potential issues before they occur, and improve overall system efficiency. Advanced data analytics techniques, such as machine learning and predictive modeling, can also be employed to optimize capacity control and improve the overall performance of free cooling systems.