Data centers are critical facilities that require precise temperature and humidity control to ensure the optimal performance and reliability of their IT equipment. Therefore, cooling is a critical component of the data center environment, which can remove waste heat generated by computer systems for optimal performance.
Current Pain Points for Cooling in Data Centers
However, the design of traditional data center air conditioning systems mostly adopts room level cooling, which has several pain points that can negatively impact the cooling performance and efficiency of the data center.
One of the significant pain points is the hunting of data center air conditioning systems, such as CRAC units, to maintain the optimal temperature and humidity in the situation of low IT load operation. This often results in overcooling, which wastes energy and increases operational costs.
Another common issue is the occurrence of local hot spots in the data center when the IT load is high and unevenly distributed. These hot spots can lead to equipment failure, reduced lifespan, and decreased reliability. This is especially problematic in high-density data centers where the heat generated by the equipment can quickly accumulate.
If there is no hot and cold aisle containment system in the data center, the hot and cold air will be mixed, resulting in low cooling efficiency and energy waste. This leads to increased energy consumption and higher operational costs.
The data center air conditioning system also lacks group control functionality, which means that it only adopts a cooling strategy based on operating experience. This often leads to suboptimal cooling performance and energy inefficiency.
Finally, when the rack IT load changes frequently, it becomes impossible to accurately calculate the cooling demand and adjust the cooling capacity. This can lead to overcooling or undercooling, resulting in energy waste, equipment damage, and increased operational costs.
In summary, the pain points associated with traditional data center cooling systems can significantly impact the cooling performance and efficiency of the data center. Newtech understands these challenges and has developed innovative solutions to address them, including our Intelligent Cooling Optimization System.
What is Intelligent Cooling Optimization?
Intelligent Cooling Optimization is a process that involves making necessary adjustments to yield better energy levels, reduce operating costs, improve cooling capacity, and enhance IT reliability. The process entails recalibrating system controls to optimize the cooling facility. To achieve this goal, Newtech offers an Intelligent Cooling Optimization System that uses real-time data to dynamically adjust cooling settings based on the cooling requirements of the data center.
Our Intelligent Cooling Optimization System utilizes our self-developed software with data analytic and AI functionality to provide the best operation of data center air conditioning systems. By integrating with IoT sensors and control devices, our system can optimize the cooling performance in the data center, reducing energy consumption and enhancing IT reliability.
How does Newtech's Intelligent Cooling Optimization System work?
Our Intelligent Cooling Optimization System uses real-time data to dynamically adjust cooling settings based on the cooling requirements of the data center. This system continuously monitors temperature, humidity, and other critical metrics, and adjusts cooling settings accordingly. Our system can be integrated with other data center management tools, such as DCIM software, to provide a comprehensive view of cooling operations and optimize energy efficiency.
Our Intelligent Cooling Optimization System applies our self-developed software and runs it in a cloud server and installs the supply air grille with a variable air volume control damper in front of the rack, adjusting the supply air by controlling the opening of the damper depending on the IT load of the equipment rack. This approach changes the cooling method from inefficient room-level cooling to efficient rack-level cooling. Areas with high heat generation of equipment are allocated more cooling capacity, and the areas with low heat generation of equipment are allocated less cooling capacity.
The IoT sensors are installed at the front and back of the cabinet, monitoring the load change of the rack and automatically adjusting the opening of the damper under the air supply floor grille to achieve rack-level cooling. Additionally, a differential pressure sensor is installed under the raised floor, controlling the air conditioning unit according to the differential pressure change of the static pressure box. The control of fan speed and temperature set point can change the cooling capacity of the air conditioning unit to meet the actual heat dissipation requirements of each rack in the data center in real-time, providing cooling on demand at the rack level.
What are the key benefits of Newtech's Intelligent Cooling Optimization System?
- Real-time temperature monitoring: Provides real-time temperature data collection for each rack in the data center.
- Total cooling capacity optimization: Achieves the total cooling capacity demand in real time, ensuring that the data center is operating at optimal cooling capacity.
- Rack-level temperature control: Allows for real-time adjustment of air supply volume and CRAC cooling supply at the rack level, regardless of load changes.
- On-demand cooling: Enables rack-level on-demand cooling, which greatly improves cooling efficiency and effectively solves the problem of local hot spots.
- Automatic equipment inspection: Automatically inspects data center air conditioning equipment and provides real-time monitoring, alarm feedback, and remote control.
- Improved energy efficiency: Our system uses real-time data to dynamically adjust cooling settings, resulting in high efficiency and energy savings, and lower PUE.
- Reduced risk of downtime: Optimizes cooling operations to reduce the risk of downtime due to unmanaged temperature conditions.
- Enhanced IT reliability: By optimizing cooling operations, our system can improve IT reliability and reduce the risk of equipment failure.