Facing the exponential growth in data processing needs, Siemens has developed an innovative solution: optimizing white space cooling, known as White Space Cooling Optimization (WSCO). This technology leverages artificial intelligence to optimize temperature management and reduce energy consumption within data centers. WSCO provides real-time monitoring of temperatures in server rooms and automatically adjusts cooling systems to maintain ideal temperatures without excessive energy use, thereby minimizing risks of malfunctions and maintenance demands.
WSCO: Innovation for Improved Thermal Management
The WSCO solution relies on a network of sensors, control of cooling units, and an artificial intelligence engine to dynamically adapt the cooling of installations according to real-time IT load. The system gathers data on temperature and air intake, then applies this information to algorithms to calculate necessary airflow adjustments. This approach ensures consistent air temperatures among server racks and in the white space, thereby reducing the risk of thermal failures and minimizing energy waste.
Technical Insights to Operational Optimization
At the core of WSCO is an artificial intelligence engine that maintains a real-time model of the facility’s thermal environment, mapping influences, and determining the precise impact of each Computer Room Air Handler (CRAH). This allows for automated control of cooling units, adjusting fan speeds and toggling units on or off to effectively meet predefined temperature settings. The system also reduces the need for on-site staff to manage cooling, enhancing operational efficiency and reliability.
Implementation and Practical Benefits of WSCO
Implementing White Space Cooling Optimization is not only cost-effective but also scalable, suitable for cloud-based hyperscale data centers and enterprises. Full deployment can be achieved within weeks with minimal on-site disruption. The solution provides insightful cooling capacity management data and supports ongoing operations with reduced staff, preparing data centers to handle unpredictable demands. Additionally, WSCO facilitates significant energy savings, up to 50% in some cases, by optimizing central cooling plant operations.
In summary, Siemens’ WSCO solution is a powerful tool for enhancing energy efficiency and reliability in data centers. By harnessing artificial intelligence to optimize cooling, data centers can cut energy consumption, reduce maintenance needs, and ensure consistent operational performance. This technology has the potential to significantly impact energy efficiency and reliability of data centers worldwide.
