BEIJING, July 24 -- China has unveiled an action plan on the green development of data centers, specifying a set of targets to accelerate the low-carbon transition of the sector.
By 2025, the average power usage effectiveness (PUE) of data centers, a metric for energy efficiency, will be lowered to less than 1.5, according to the plan jointly issued on Tuesday by the National Development and Reform Commission, the Ministry of Industry and Information Technology and two central bureaus.
As an important infrastructure for development of new quality productive forces, data centers are among the sectors where energy use grows rapidly in China. It is expected that data centers'' power usage in the country will climb by 15 percent annually.
The action plan proposed that by the end of 2030, data centers across the country will see their average PUE, and energy and carbon efficiency per unit of computing power reach internationally advanced levels, with the utilization rate of renewable energy further improved.
To meet the aforementioned goals, China will improve the layout of data centers, tighten the energy and water efficiency requirements for new projects, facilitate the energy saving and carbon reduction transformation of existing projects and promote the application of energy-saving technologies and equipment, according to the plan.
Industrial data show that China''s total computing power scale now ranks second in the world. By the end of 2023, the number of data center racks in use topped 8.1 million in the country.
-- China has started work on a mega project to build an integrated national big data system to improve overall computing power and resource efficiency, both crucial factors defining the country''s future productivity and development sustainability.
-- The project involves establishing eight national computing hubs in the country''s economic powerhouses and less developed yet resource-rich regions, as well as 10 national data center clusters.
-- By creating a national computing power network, the project will support the less developed regions with abundant renewable energy resources to store and process data transmitted from the economically advanced areas to address the soaring demand and the regional capacity imbalance.
BEIJING, Feb. 21 (Xinhua) -- China has started work on a mega project to build an integrated national big data system to improve overall computing power and resource efficiency, both crucial factors defining the country''s future productivity and development sustainability.
The project involves establishing eight national computing hubs in the country''s economic powerhouses and less developed yet resource-rich regions, plus 10 national data center clusters, according to the National Development and Reform Commission (NDRC), the top economic planner.
Among the eight computing hubs, four will be set up in economically backward regions including the northern Inner Mongolia Autonomous Region, the southwestern Guizhou Province as well as the northwestern Gansu Province and Ningxia Hui Autonomous Region.
The other four will be located in the more developed Beijing-Tianjin-Hebei region, the Yangtze River Delta, Guangdong-Hong Kong-Macao Greater Bay Area and Chengdu-Chongqing economic circle.
The National Development and Reform Commission also said the larger goal is to foster the green and high-quality development of "new infrastructure", a term that refers to digital-age assets like data centers and 5G networks.
Experts said the action plan, released by the NDRC and three other central government departments is in accordance with the country''s efforts to peak carbon dioxide emissions by 2030, achieve carbon neutrality by 2060 and promote low-carbon and sustainable growth.
Under the plan, 5G networks should figure in the plans for construction of transportation, energy, industry and municipal infrastructure, and efforts should be made to optimize the layout of data centers.
China will form an integrated infrastructure pattern with well-distributed green data centers and 5G networks by 2025. The utilization efficiency of electricity and renewable energy in data centers will be significantly improved, while newly built large and super large data centers nationwide will cut the power usage effectiveness (PUE) value down to 1.3, according to the plan.
The plan stated data centers in eastern and western regions will achieve a balance in computing power, and the overall utilization rate of the national data centers will obviously increase. Moreover, the utilization rate of the data centers in western parts will rise from 30 percent to more than 50 percent.
China has taken the lead over global peers in data center construction, with more enterprises looking to scale up their data centers to ensure reliability and stability of data services.
"With the rapid development of 5G, the internet of things, artificial intelligence, industrial internet and the commercial application of these new cutting-edge technologies, the demand for data processing is increasing, which has sped up the construction of data centers across the nation," said Xiang Ligang, director-general of the Information Consumption Alliance, a telecom industry association.
However, the investment in establishing data centers is enormous and these centers consume a large amount of electricity, which provides carbon emissions and environmental pollution, Xiang said, adding Chinese technology companies should utilize innovative technologies to improve data centers'' operational efficiency and cut power consumption.
According to a report from China''s State Grid Energy Research Institute, the electricity consumption by data centers alone in 2020 is estimated to exceed 200 billion kilowatt-hours, accounting for 2.7 percent of the country''s electricity consumption.
By 2030, data center electricity consumption in China will exceed 400 billion kWh, accounting for 3.7 percent of the country''s total electricity consumption, the report stated.
Data centers should increase computing efficiency, save computing energy consumption, and truly meet the needs of future smart computing, said Wang Endong, an academician with the Chinese Academy of Engineering and the principal scientist at Inspur Group, a Chinese provider of big data services.
Chinese technology firms have started to work on green solutions to reduce electricity and energy consumption of data centers. For instance, online search giant Baidu, which has morphed into a technology pioneer with a focus on artificial intelligence, said it is stepping up efforts to decrease the carbon emissions of its data centers by switching to clean energy and improving energy efficiency.
Baidu also said it will continue to reduce the energy consumption per unit of computing power based on the 2020 average PUE of 1.14 per year through technological innovation, enhanced software and hardware integration and integrated AI applications.
About Data center energy storage republic of china
As the photovoltaic (PV) industry continues to evolve, advancements in Data center energy storage republic of china have become critical to optimizing the utilization of renewable energy sources. From innovative battery technologies to intelligent energy management systems, these solutions are transforming the way we store and distribute solar-generated electricity.
When you're looking for the latest and most efficient Data center energy storage republic of china for your PV project, our website offers a comprehensive selection of cutting-edge products designed to meet your specific requirements. Whether you're a renewable energy developer, utility company, or commercial enterprise looking to reduce your carbon footprint, we have the solutions to help you harness the full potential of solar energy.
By interacting with our online customer service, you'll gain a deep understanding of the various Data center energy storage republic of china featured in our extensive catalog, such as high-efficiency storage batteries and intelligent energy management systems, and how they work together to provide a stable and reliable power supply for your PV projects.
Related Contents
