With the rapid development of data centers, the full launch of the "digital data in the east" project and the proposal of the "double carbon" goal, the rapid growth of energy consumption has become a problem that cannot be ignored in the development of the data center industry. While data centers support the rapid development of the digital economy, the low-carbon development of new data centers has become an issue that must be paid attention to.
National and local governments are actively introducing policies to limit the energy consumption of data centers and guide their development. At the end of June, the Shanghai Municipal Economic and Information Technology Commission and the Shanghai Municipal Development and Reform Commission jointly issued the "Implementation Opinions on Promoting the Healthy and Orderly Development of Data Centers in the City" and proposed a series of major goals to be achieved by coordinating the construction of data centers in the city by 2025: agglomeration The comprehensive PUE of the newly built large-scale data center in the district has dropped to about 1.25, and the green and low-carbon level has reached 4A or above, creating a low-carbon green data center.
Data center energy conservation is step-by-step and gradually promotes the reduction of data center PUE:
energy saving equipment
In terms of equipment energy-saving, Youfu Networks Shanghai Academy Cloud Computing Data Center and Shanghai Meisheng Cloud Computing Data Center use high-efficiency transformers to meet the national second-level energy efficiency standards and reduce transformer losses; they use high-frequency UPS technology with ECO mode to ensure normal operation. 1-way UPS sleep state improves mains power conversion efficiency.
Youfu Networks Shanghai Academy Cloud Computing Data Center and Shanghai Mosaic Cloud Computing Data Center use two methods for the computer room cooling system. The computer room uses a high-efficiency chiller + water-cooled air-conditioning refrigeration system and an indirect evaporative cooling system. Fluorine pump natural cooling technology is used in the power distribution area to utilize natural cold sources to reduce data center energy consumption. At the same time, a plate heat exchanger is used in the water refrigeration system, which utilizes outdoor natural cold sources in winter and transitional seasons to provide cooling for the main computer room, thereby saving power consumption of the data center chiller and achieving energy conservation. The main room area adopts indirect evaporative cooling system technology, which improves the overall energy-saving efficiency of the refrigeration system and reduces the overall power consumption of the refrigeration system. The water consumption of the outdoor evaporative condenser is lower than that of the open cooling tower, achieving the purpose of energy and water conservation.
energy management
Under the dual energy control and dual carbon policies, intelligent and digital energy management is an inevitable trend. Youfu Networks Shanghai Academy Cloud Computing Data Center and Shanghai Meisheng Cloud Computing Data Center have established an efficient energy consumption monitoring and management system to measure the energy consumption data of various energy-consuming equipment in the data center in real time. Various energy-consuming equipment include the following systems:
Monitoring objects in the power supply and distribution system include power distribution monitoring subsystems, UPS systems, power distribution cabinets and batteries;
The air conditioning and refrigeration system includes chillers, cooling towers, cold storage tanks, precision air conditioners, constant humidity machines, new exhaust fans, water leakage monitoring and water replenishment systems;
Security systems include video surveillance, access control systems and intrusion alarms;
The fire protection system includes gas fire protection systems in the main computer room, distribution room, etc. and water fire protection systems in corridors and office areas.
Statistics and analysis of collected data can reasonably determine the energy consumption of each regional data center, timely discover energy usage patterns and energy waste, and improve personnel's awareness of proactive energy conservation during operation.
Build the basic framework of the data center smart energy management system on the energy management platform, conduct real-time monitoring of each energy consumption link, and achieve regional energy efficiency. Comparison of regional energy consumption within building units can be achieved. The management platform can monitor the energy consumption in a single area room. Statistics and visualization of energy usage.
Smart operation
Smart operation and maintenance supports energy consumption management of data centers. Energy consumption management includes many subsystems, such as power supply and distribution systems, air conditioning systems, security systems, access control systems, fire protection systems, etc.
The operation and maintenance work of large data centers mainly revolves around these specific application systems. With the continuous advancement of technology, more and more enterprises are beginning to use artificial intelligence technology to strive to rationalize the workload of the data center. Artificial intelligence can be used to intelligently analyze the workload of the data center and automatically distribute the workload to scientific and reasonable places. In terms of infrastructure, artificial intelligence technology is used to continuously monitor and accurately control the energy consumption of various power environment equipment in the data center, helping the infrastructure to truly achieve high efficiency and dynamic energy saving, thereby improving overall management efficiency.
Youfu Networks insists on high R&D investment, leads cloud computing data center empowerment innovation, and explores smart data center operations empowered by AI technology. Through AI-based data analysis and mining, server, switch and SSD failures can be predicted in advance, reducing data center costs. Reduce the risk of downtime and reduce data center operation and maintenance costs.
Youfu Networks has always taken the green and high-quality development of data centers as an important goal. In the comprehensive design, planning, construction, operation and other aspects, it adopts the integrated deployment of new technologies to exert the factorial consumption reduction effect of data center clusters, and uses new technologies to ensure the reliability of the data center. Green and low-carbon, AI operation and maintenance supports industrial innovation, achieves precise consumption reduction of data center PUE, and creates a solid technical base for the development of the digital economy.