Overview
External cooling in data center
Precise monitoring of external cooling circuits and energy transfer
External cooling plays a critical role in maintaining the stability and efficiency of modern data centers. As server densities and IT loads continue to rise, the heat generated in the White Space must be effectively removed to prevent overheating and ensure uninterrupted operation. External cooling solutions manage this by transferring heat from the internal cooling loops to the outside environment, typically using air- or water-based systems. These systems not only protect IT equipment but also offer opportunities to improve energy efficiency. By leveraging ambient conditions and integrating water or refrigerant-based circuits, external cooling can reduce the reliance on mechanical chillers, optimise energy consumption, and support sustainable operation. Reliable monitoring of temperature, flow, and pressure within these cooling loops is essential, as it ensures consistent performance, rapid response to load changes, and long-term operational stability. This makes external cooling a key component in the design and management of mission-critical data center infrastructure, providing both thermal safety and energy-efficient operation.
Precise and robust measurement technology is crucial for the reliable operation of external cooling systems in data centers. KROHNE offers a wide range of flow, temperature, and pressure measuring devices that are specially designed for demanding cooling circuits. Our sensors reliably measure water and glycol flows as well as refrigerant circuits and deliver fast, reproducible measurement values. KROHNE devices are characterized by high long-term stability, minimal maintenance, and flexible installation options. Thanks to their precise measurements, operators can monitor cooling performance, optimize energy consumption, and detect potential malfunctions at an early stage. In addition, the measuring devices can be seamlessly integrated into DCIM or building management systems, allowing the data to be used directly for control, monitoring, and analysis.